{"id":5804,"date":"2023-05-23T09:23:51","date_gmt":"2023-05-23T00:23:51","guid":{"rendered":"https:\/\/orsj.org\/?page_id=5804"},"modified":"2025-08-22T15:44:42","modified_gmt":"2025-08-22T06:44:42","slug":"informs","status":"publish","type":"page","link":"https:\/\/orsj.org\/informs","title":{"rendered":"INFORMS Journal on Applied Analytics \u63b2\u8f09\u8ad6\u6587\u30a2\u30d6\u30b9\u30c8\u30e9\u30af\u30c8\u306e\u65e5\u672c\u8a9e\u8a33"},"content":{"rendered":"<p><strong>Institute for Operations Research and the Management Sciences (INFORMS) \u306e\u3054\u539a\u610f\u306b\u3088\u308a\uff0c<a href=\"https:\/\/pubsonline.informs.org\/journal\/ijaa\"><i>INFORMS Journal on Applied Analytics<\/i><\/a>\u306b\u63b2\u8f09\u3055\u308c\u305f\u8ad6\u6587\u306e\u30a2\u30d6\u30b9\u30c8\u30e9\u30af\u30c8\u548c\u8a33\u63b2\u8f09\u8a31\u53ef\u3092\u9802\u304d\u307e\u3057\u305f\uff0e<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-family: 'arial black', 'avant garde';font-size: 18px\">Alibaba Realizes Millions in Cost Savings Through Integrated Demand Forecasting, Inventory Management, Price Optimization, and Product Recommendations<\/span><\/p>\n<p>(\u30a2\u30ea\u30d0\u30d0\uff0c\u9700\u8981\u4e88\u6e2c\uff0c\u5728\u5eab\u7ba1\u7406\uff0c\u4fa1\u683c\u6700\u9069\u5316\uff0c\u5546\u54c1\u63a8\u5968\u306e\u7d71\u5408\u306b\u3088\u308a\u6570\u767e\u4e07\u30c9\u30eb\u306e\u30b3\u30b9\u30c8\u524a\u6e1b\u3092\u5b9f\u73fe)<\/p>\n<h6><span style=\"font-size: 14px\">Yuming Deng, Xinhui Zhang , Tong Wang, Lin Wang, Yidong Zhang, Xiaoqing Wang, Su Zhao, Yunwei Qi, Guangyao Yang, Xuezheng Peng<\/span><\/h6>\n<p>INFORMS Journal on Applied Analytics 53(1):32-46.\u3000\u3000\u3000<a href=\"https:\/\/doi.org\/10.1287\/inte.2022.1145\">https:\/\/doi.org\/10.1287\/inte.2022.1145<\/a><\/p>\n<p>\u30ad\u30fc\u30ef\u30fc\u30c9\uff1a\u9700\u8981\u4e88\u6e2c\uff0c\u5728\u5eab\u7ba1\u7406\uff0c\u4fa1\u683c\u6700\u9069\u5316\uff0c\u5546\u54c1\u30ec\u30b3\u30e1\u30f3\u30c7\u30fc\u30b7\u30e7\u30f3\uff0c\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u6700\u9069\u5316\uff0cEdelman\u8cde<\/p>\n<p>\u8981\u65e8\uff1a<\/p>\n<p>\u4e16\u754c\u6700\u5927\u7d1a\u306ee\u30b3\u30de\u30fc\u30b9\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0\u3092\u904b\u55b6\u3059\u308b\u30a2\u30ea\u30d0\u30d0\u306f\uff0c\u96d1\u8ca8\u304b\u3089\u751f\u9bae\u98df\u54c1\u306b\u81f3\u308b\u307e\u3067\uff0c\u30aa\u30f3\u30e9\u30a4\u30f3\u3068\u30aa\u30d5\u30e9\u30a4\u30f3\u4e21\u65b9\u3067\u306e\u6ce8\u6587\u3092\u53ef\u80fd\u306b\u3059\u308b\u5305\u62ec\u7684\u306a\u30aa\u30e0\u30cb\u30c1\u30e3\u30cd\u30eb\u306e\u5c0f\u58f2\u308a\u57fa\u76e4\u30b7\u30b9\u30c6\u30e0\u3092\u8a2d\u8a08\u3057\u307e\u3057\u305f\uff0e\u9700\u8981\u4e88\u6e2c\uff0c\u5728\u5eab\u7ba1\u7406\uff0c\u4fa1\u683c\u6700\u9069\u5316\u306a\u3069\u306e\u30b5\u30d7\u30e9\u30a4\u30c1\u30a7\u30fc\u30f3\u306b\u304a\u3051\u308b\u5408\u7406\u7684\u306a\u610f\u601d\u6c7a\u5b9a\u306f\uff0c\u5c0f\u58f2\u696d\u306e\u6210\u529f\u306b\u3068\u3063\u3066\u4e0d\u53ef\u6b20\u3067\u3059\uff0e\u3057\u304b\u3057\uff0c\u5c0f\u58f2\u696d\u306b\u304a\u3051\u308b\u591a\u304f\u306e\u30e6\u30cb\u30fc\u30af\u306a\u696d\u52d9\u306f\uff0c\u5f93\u6765\u306e\u30aa\u30da\u30ec\u30fc\u30b7\u30e7\u30f3\u30ba\u30fb\u30ea\u30b5\u30fc\u30c1\u306e\u624b\u6cd5\u306b\u5408\u308f\u305a\uff0c\u6df1\u523b\u306a\u8ab2\u984c\u3092\u5f15\u304d\u8d77\u3053\u3057\u3066\u3044\u307e\u3057\u305f\uff0e\u30a2\u30ea\u30d0\u30d0\u306f\uff0c\u9700\u8981\u4e88\u6e2c\u306e\u305f\u3081\u306e\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\uff0c\u5728\u5eab\u7ba1\u7406\u306e\u305f\u3081\u306e\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u6700\u9069\u5316\u306b\u57fa\u3065\u304f\u30e2\u30c7\u30eb\uff0c\u30d7\u30ed\u30e2\u30fc\u30b7\u30e7\u30f3\u306e\u305f\u3081\u306e\u4fa1\u683c\u6700\u9069\u5316\uff0c\u5546\u54c1\u30ec\u30b3\u30e1\u30f3\u30c7\u30fc\u30b7\u30e7\u30f3\u306e\u305f\u3081\u306e\u5024\u4e0b\u3052\u6700\u9069\u5316\u306a\u3069\u306e\u4e00\u9023\u306e\u30e2\u30c7\u30eb\u3068\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u958b\u767a\u3057\u307e\u3057\u305f\uff0e\u30a2\u30ea\u30d0\u30d0\u306f\u904e\u53bb3\u5e74\u9593\uff0c\u307b\u307c\u3059\u3079\u3066\u306e\u5c0f\u58f2\u696d\u306b\u3053\u308c\u3089\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u5b9f\u88c5\u3057\uff0c\u5e74\u9593\u30d9\u30fc\u30b9\u3067\uff0c\u5728\u5eab\u30b3\u30b9\u30c8\u30924,200\u4e07\u30c9\u30eb\u7bc0\u7d04\u3057\uff0c\u58f2\u4e0a\u30921\u51041\u5343\u4e07\u30c9\u30eb\uff0c\u5229\u76ca\u30921,300\u4e07\u30c9\u30eb\u5897\u52a0\u3055\u305b\u307e\u3057\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-family: 'arial black', 'avant garde';font-size: 18px\">Data-Driven Optimization for Atlanta Police-Zone Design<\/span><\/p>\n<p>\uff08\u30a2\u30c8\u30e9\u30f3\u30bf\u8b66\u5bdf\u7ba1\u8f44\u5730\u57df\u8a2d\u8a08\u306e\u305f\u3081\u306e\u30c7\u30fc\u30bf\u99c6\u52d5\u578b\u6700\u9069\u5316\uff09<\/p>\n<h6><span style=\"font-size: 14px\">Shixiang Zhu, He Wang, Yao Xie<\/span><\/h6>\n<p>INFORMS Journal on Applied Analytics 52(5):412-432.\u3000\u3000\u3000<a href=\"https:\/\/doi.org\/10.1287\/inte.2022.1122\">https:\/\/doi.org\/10.1287\/inte.2022.1122<\/a><\/p>\n<p>\u30ad\u30fc\u30ef\u30fc\u30c9\uff1a\u8b66\u5bdf\u696d\u52d9\uff0c\u30c7\u30fc\u30bf\u5206\u6790\uff0c\u5f85\u3061\u884c\u5217\u30e2\u30c7\u30eb\uff0c\u6700\u9069\u5316\uff0c\u6df7\u5408\u6574\u6570\u6700\u9069\u5316\u554f\u984c<\/p>\n<p>\u8981\u65e8\uff1a<\/p>\n<p>\u90fd\u5e02\u74b0\u5883\u306b\u304a\u3051\u308b\u8b66\u5bdf\u306e\u5de1\u56de\u533a\u57df\u3092\u518d\u8a2d\u8a08\u3059\u308b\u305f\u3081\u306e\u30c7\u30fc\u30bf\u30c9\u30ea\u30d6\u30f3\u306a\u6700\u9069\u5316\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3092\u63d0\u6848\u3057\u307e\u3059\uff0e\u305d\u306e\u76ee\u7684\u306f\uff0c\u5730\u57df\u3054\u3068\u306e\u8b66\u5bdf\u696d\u52d9\u8ca0\u8377\u3092\u5747\u7b49\u306b\u3059\u308b\u3053\u3068\uff0c\u7dca\u6025\u901a\u5831\u306b\u5bfe\u3059\u308b\u5fdc\u7b54\u6642\u9593\u3092\u77ed\u7e2e\u3059\u308b\u3053\u3068\u306b\u3042\u308a\u307e\u3059\uff0e\u6211\u3005\u306f\uff0c\u4e8b\u4ef6\u5831\u544a\uff0c\u4eba\u53e3\u7d71\u8a08\u8abf\u67fb\uff0c\u4ea4\u901a\u30c7\u30fc\u30bf\u306a\u3069\u306e\u8907\u6570\u306e\u30c7\u30fc\u30bf\u30bd\u30fc\u30b9\u3092\u7d71\u5408\u3059\u308b\u3053\u3068\u3067\uff0c\u8b66\u5bdf\u306e\u7dca\u6025\u5bfe\u5fdc\u306b\u95a2\u3059\u308b\u78ba\u7387\u30e2\u30c7\u30eb\u3092\u69cb\u7bc9\u3057\u307e\u3059\uff0e\u3053\u306e\u78ba\u7387\u30e2\u30c7\u30eb\u3092\u7528\u3044\u3066\uff0c\u6df7\u5408\u6574\u6570\u7dda\u5f62\u8a08\u753b\u6cd5\u306b\u3088\u3063\u3066\u533a\u57df\u518d\u518d\u8a2d\u8a08\u30d7\u30e9\u30f3\u3092\u6700\u9069\u5316\u3057\u307e\u3059\uff0e\u6211\u3005\u304c\u63d0\u6848\u3057\u305f\u65b0\u533a\u57df\u306f\uff0c2019\u5e743\u6708\u306b\u30a2\u30c8\u30e9\u30f3\u30bf\u8b66\u5bdf\u7f72\u3067\u65bd\u884c\u3055\u308c\u307e\u3057\u305f\uff0e\u533a\u57df\u518d\u8a2d\u8a08\u524d\u5f8c\u306e\u30c7\u30fc\u30bf\u3092\u5206\u6790\u3059\u308b\u3053\u3068\u3067\uff0c\u65b0\u533a\u57df\u306e\u5c0e\u5165\u306b\u3088\u3063\u3066\u512a\u5148\u5ea6\u306e\u9ad8\u3044\u901a\u5831\u3078\u306e\u5fdc\u7b54\u6642\u9593\u304c5.8%\u77ed\u7e2e\u3055\u308c\u308b\u3068\u3068\u3082\u306b\uff0c\u30a2\u30c8\u30e9\u30f3\u30bf\u306e\u533a\u57df\u9593\u306b\u304a\u3051\u308b\u8b66\u5bdf\u696d\u52d9\u8ca0\u8377\u306e\u4e0d\u5747\u8861\u304c43%\u6e1b\u5c11\u3057\u307e\u3057\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-family: 'arial black', 'avant garde';font-size: 18px\">Optimal Scheduling of Waitstaff with Different Experience Levels at a Restaurant Chain<\/span><\/p>\n<p>\uff08\u30ec\u30b9\u30c8\u30e9\u30f3\u30c1\u30a7\u30fc\u30f3\u306b\u304a\u3051\u308b\u7570\u306a\u308b\u719f\u7df4\u5ea6\u3092\u6301\u3064\u63a5\u5ba2\u4fc2\u306e\u6700\u9069\u30b9\u30b1\u30b8\u30e5\u30fc\u30ea\u30f3\u30b0\uff09<\/p>\n<h6><span style=\"font-size: 14px\">Najmaddin Akhundov, Nail Tahirov, Christoph H. Glock<\/span><\/h6>\n<p>INFORMS Journal on Applied Analytics 52(4):324-343.\u3000\u3000\u3000<a href=\"https:\/\/doi.org\/10.1287\/inte.2022.1124\">https:\/\/doi.org\/10.1287\/inte.2022.1124<\/a><\/p>\n<p>\u30ad\u30fc\u30ef\u30fc\u30c9\uff1a\u30c4\u30a2\u30fc\u30b9\u30b1\u30b8\u30e5\u30fc\u30ea\u30f3\u30b0\uff0c\u30ec\u30b9\u30c8\u30e9\u30f3\u7d4c\u55b6\uff0c\u30b9\u30bf\u30c3\u30d5\u30b9\u30b1\u30b8\u30e5\u30fc\u30ea\u30f3\u30b0\uff0c \u30a6\u30a7\u30a4\u30c8\u30aa\u30fc\u30c0\u30fc\uff0c\u5f93\u696d\u54e1\u30b9\u30ad\u30eb\u30ec\u30d9\u30eb<\/p>\n<p>\u8981\u65e8\uff1a<\/p>\n<p>\u30ec\u30b9\u30c8\u30e9\u30f3\u306f\uff0c\u30b3\u30b9\u30c8\u524a\u6e1b\u306e\u5f37\u3044\u30d7\u30ec\u30c3\u30b7\u30e3\u30fc\u306b\u76f4\u9762\u3059\u308b\u3053\u3068\u304c\u3088\u304f\u3042\u308a\u307e\u3059\uff0e\u30de\u30cd\u30b8\u30e3\u30fc\u306f\uff0c\u6d3e\u9063\u793e\u54e1\u3084\u30d1\u30fc\u30c8\u30bf\u30a4\u30de\u30fc\u3092\u96c7\u7528\u3057\uff0c\u53ef\u80fd\u306a\u9650\u308a\u5f93\u696d\u54e1\u306e\u898f\u6a21\u3092\u5c0f\u3055\u304f\u3059\u308b\u3053\u3068\u3067\u5bfe\u5fdc\u3059\u308b\u306e\u304c\u5e38\u3067\u3042\u308a\uff0c\u305d\u308c\u304c\uff0c\u9867\u5ba2\u306b\u5341\u5206\u306a\u30b5\u30fc\u30d3\u30b9\u3092\u63d0\u4f9b\u3059\u308b\u5f93\u696d\u54e1\u306e\u30b9\u30b1\u30b8\u30e5\u30fc\u30eb\u3092\u4f5c\u6210\u3059\u308b\u3053\u3068\u3092\u96e3\u3057\u304f\u3057\u3066\u3044\u307e\u3059\uff0e\uff08\u983b\u7e41\u306a\uff09\u5f93\u696d\u54e1\u306e\u96e2\u8077\u3084\u9700\u8981\u306e\u5909\u52d5\u304c\u751f\u3058\u305f\u308a\uff0c\u5f93\u696d\u54e1\u304c\u7570\u306a\u308b\u719f\u7df4\u5ea6\u3092\u6301\u3064\u3088\u3046\u3067\u3042\u308c\u3070\uff0c\u3053\u306e\u554f\u984c\u306f\u3055\u3089\u306b\u8907\u96d1\u306b\u306a\u308a\u307e\u3059\uff0e\u672c\u8ad6\u6587\u3067\u306f\uff0c\u30a2\u30bc\u30eb\u30d0\u30a4\u30b8\u30e3\u30f3\u306e\u30d0\u30af\u30fc\u3092\u62e0\u70b9\u3068\u3059\u308b\u30ec\u30b9\u30c8\u30e9\u30f3\u30c1\u30a7\u30fc\u30f3\u306b\u304a\u3044\u3066\uff0c\u7ba1\u7406\u8981\u4ef6\u3092\u8003\u616e\u3057\u305f\u4e0a\u3067\uff0c\u63a5\u5ba2\u4fc2\u306e\u30b9\u30b1\u30b8\u30e5\u30fc\u30ea\u30f3\u30b0\u3092\u652f\u63f4\u3059\u308b\u6570\u7406\u30e2\u30c7\u30eb\u3092\u63d0\u793a\u3057\u307e\u3059\uff0e\u672c\u8ad6\u6587\u3067\u3042\u3064\u304b\u3046\u554f\u984c\u306f\uff0c\u4e00\u9031\u9593\u3092\u901a\u3057\u3066\u63a5\u5ba2\u4fc2\u306e\u30b7\u30d5\u30c8\u3092\u7d44\u3080\u4e00\u822c\u7684\u306a\u30c4\u30a2\u30fc\u30b9\u30b1\u30b8\u30e5\u30fc\u30ea\u30f3\u30b0\u554f\u984c\u3068\u7b49\u4fa1\u3067\u3059\uff0e\u79c1\u305f\u3061\u306f\uff0c\u5f93\u696d\u54e1\u306e\u7a2e\u985e\u3084\u719f\u7df4\u5ea6\uff0c\u9867\u5ba2\u306e\u6ce8\u6587\u306e\u8907\u96d1\u3055\u306e\u9055\u3044\uff0c\u8ffd\u52a0\u696d\u52d9\u3084\u8cac\u4efb\u306a\u3069\u3092\u8003\u616e\u3057\u305f\u4e0a\u3067\uff0c\u6700\u9069\u306a\u5f93\u696d\u54e1\u6570\u3068\u5404\u5f93\u696d\u54e1\u306e\u6700\u826f\u306e\u30c4\u30a2\u30fc\u3092\u898b\u3064\u3051\u308b3\u3064\u306e\u6574\u6570\u8a08\u753b\u554f\u984c\u3092\u958b\u767a\u3057\u307e\u3059\uff0e\u3053\u306e\u30e2\u30c7\u30eb\u306f\u6700\u9069\u306b\u89e3\u304b\u308c\uff0c\u305d\u306e\u7d50\u679c\u306f\u30d0\u30af\u30fc\u306e\u30ec\u30b9\u30c8\u30e9\u30f3\u30c1\u30a7\u30fc\u30f3\u306e\u652f\u90e8\u306b\u9069\u7528\u3055\u308c\u307e\u3059\uff0e\u6700\u9069\u5316\u3055\u308c\u305f\u30b9\u30b1\u30b8\u30e5\u30fc\u30eb\u306f\uff0c\u65e2\u5b58\u306e\u30b9\u30b1\u30b8\u30e5\u30fc\u30eb\u3068\u6bd4\u8f03\u3057\u3066\uff0c\u540c\u3058\u30b5\u30fc\u30d3\u30b9\u57fa\u6e96\u3092\u6e80\u305f\u3057\u3064\u3064\uff0c\u7d0440\uff05\u306e\u5f93\u696d\u54e1\u3068\u7d0420%\u306e\u4eba\u4ef6\u8cbb\u306e\u904e\u5270\u306a\u5f93\u696d\u54e1\u306e\u524a\u6e1b\u3092\u53ef\u80fd\u306b\u3057\u307e\u3057\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-family: 'arial black', 'avant garde';font-size: 18px\">Operations Research Helps the Optimal Bidding of Virtual Power Plants<\/span><\/p>\n<p>\uff08\u30aa\u30da\u30ec\u30fc\u30b7\u30e7\u30f3\u30ba\u30fb\u30ea\u30b5\u30fc\u30c1\u3092\u7528\u3044\u305f\u4eee\u60f3\u767a\u96fb\u6240\u306e\u6700\u9069\u5165\u672d\uff09<\/p>\n<h6><span style=\"font-size: 14px\">Daeho Kim, Hyungkyu Cheon, Dong Gu Choi, Seongbin Im<\/span><\/h6>\n<p>INFORMS Journal on Applied Analytics 52(4):344-362.\u3000\u3000\u3000<a href=\"https:\/\/doi.org\/10.1287\/inte.2022.1120\">https:\/\/doi.org\/10.1287\/inte.2022.1120<\/a><\/p>\n<p>\u30ad\u30fc\u30ef\u30fc\u30c9\uff1a\u96fb\u529b\u7523\u696d\uff0c\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0\u7d4c\u55b6\u30aa\u30da\u30ec\u30fc\u30b7\u30e7\u30f3\uff0c\u6700\u9069\u5165\u672d\uff0c\u30de\u30eb\u30b3\u30d5\u6c7a\u5b9a\u904e\u7a0b\u30e2\u30c7\u30eb\uff0c\u30b7\u30ca\u30ea\u30aa\u751f\u6210<\/p>\n<p>\u8981\u65e8\uff1a<\/p>\n<p>\u5206\u6563\u578b\u30a8\u30cd\u30eb\u30ae\u30fc\u8cc7\u6e90\uff08DER: Distributed Energy Resources\uff09\u304c\u6b21\u3005\u3068\u73fe\u308c\u308b\u4e2d\uff0c\u65b0\u305f\u306a\u30af\u30e9\u30a6\u30c9\u30d9\u30fc\u30b9\u306e\u60c5\u5831\u6280\u8853\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0\u30d3\u30b8\u30cd\u30b9\u30e2\u30c7\u30eb\u3067\u3042\u308b\uff0c\u4eee\u60f3\u767a\u96fb\u6240\uff08VPP: Virtual Power Plant\uff09\u304c\u96fb\u529b\u5e02\u5834\u306b\u5c0e\u5165\u3055\u308c\u307e\u3057\u305f\uff0eVPP\u306e\u7af6\u4e89\u529b\u306f\uff0c\u4e3b\u306b\u30c7\u30fc\u30bf\u5206\u6790\u3068\u904b\u7528\u6280\u8853\u306b\u4f9d\u5b58\u3057\u3066\u6c7a\u307e\u308a\u307e\u3059\uff0e\u3044\u304f\u3064\u304b\u3042\u308b\u904b\u7528\u6280\u8853\u306b\u95a2\u3059\u308b\u554f\u984c\u306e\u4e2d\u3067\uff0c\u6211\u3005\u306f\u524d\u65e5\u5e02\u5834\u306b\u304a\u3051\u308b\u6700\u9069\u5165\u672d\u6c7a\u5b9a\u554f\u984c\u306b\u7126\u70b9\u3092\u5f53\u3066\u307e\u3057\u305f\uff0e\u5165\u672d\u6c7a\u5b9a\u3068\u306f\uff0cDER\u304c\u4f9b\u7d66\u3059\u308b\u96fb\u529b\u304c\u78ba\u5b9a\u3057\u3066\u3044\u306a\u3044\u524d\u65e5\u306e\u6642\u70b9\u306b\u304a\u3044\u3066\uff0c\u3069\u308c\u3060\u3051\u306e\u96fb\u529b\u3092\u5e02\u5834\u306b\u4f9b\u7d66\u3059\u308b\u304b\u3092VPP\u304c\u7d04\u675f\u3059\u308b\u3082\u306e\u3067\u3042\u308a\uff0c\u3053\u308c\u306b\u3088\u308aVPP\u306e\u53ce\u76ca\u304c\u5909\u5316\u3057\u307e\u3059\uff0e\u97d3\u56fd\u306eVPP\u4f01\u696d\u3067\u3042\u308bH Energy\u682a\u5f0f\u4f1a\u793e\u3068\u306e\u5171\u540c\u7814\u7a76\u306b\u304a\u3044\u3066\uff0c\u6211\u3005\u306f\u5165\u672d\u6c7a\u5b9a\u554f\u984c\u3092\u30de\u30eb\u30b3\u30d5\u6c7a\u5b9a\u904e\u7a0b\u30e2\u30c7\u30eb\u3092\u7528\u3044\u3066\u5b9a\u5f0f\u5316\u3057\uff0c\u78ba\u7387\u7684\u52d5\u7684\u8a08\u753b\u6cd5\u306b\u57fa\u3065\u304f\u89e3\u6cd5\u3092\u7528\u3044\u3066\uff0c\u3053\u306e\u554f\u984c\u3092\u89e3\u304d\u307e\u3057\u305f\uff0e\u3053\u308c\u306f\u30a4\u30f3\u30bb\u30f3\u30c6\u30a3\u30d6\u30d9\u30fc\u30b9\u306e\u5e02\u5834\u69cb\u9020\u306e\u4e0b\u3067\u884c\u308f\u308c\u305f\u521d\u3081\u3066\u306e\u7814\u7a76\u3067\u3059\uff0e\u30b7\u30ca\u30ea\u30aa\u30c4\u30ea\u30fc\u3084\u30e9\u30c6\u30a3\u30b9\u69cb\u9020\u3092\u7528\u3044\u3066\uff0cDER\u306b\u3088\u308b\u96fb\u529b\u4f9b\u7d66\u306e\u4e0d\u78ba\u5b9f\u6027\u3092\u8a18\u8ff0\u3059\u308b\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3092\u69cb\u7bc9\u3057\u307e\u3057\u305f\uff0e\u3055\u3089\u306b\uff0c\u8a08\u7b97\u8ca0\u8377\u8efd\u6e1b\u306e\u305f\u3081\u306b\u767a\u898b\u7684\u624b\u6cd5\u3092\u9069\u7528\u3057\u307e\u3057\u305f\uff0e\u5b9f\u30c7\u30fc\u30bf\u306b\u57fa\u3065\u304f\u4e88\u5099\u5b9f\u9a13\u3092\u901a\u3057\u3066\uff0c\u6211\u3005\u306f\u63d0\u6848\u3057\u305f\u30e2\u30c7\u30eb\u3068\u89e3\u6cd5\u306e\u6027\u80fd\u30fb\u5b9f\u7528\u6027\u3092\u691c\u8a3c\u3057\u307e\u3057\u305f\uff0e\u30b1\u30fc\u30b9\u4f01\u696d\u3067\u306f\uff0c\u81ea\u793e\u306e\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0\u4e0a\u3067\u6211\u3005\u306e\u63d0\u6848\u3057\u305f\u30e2\u30c7\u30eb\u3068\u89e3\u6cd5\u306e\u5b9f\u88c5\u3092\u306f\u3058\u3081\uff0cDER\u306e\u9ad8\u5ea6\u306a\u4e88\u6e2c\u30e2\u30c7\u30eb\u3092\u4f7f\u7528\u3057\u305f\u5f8c\uff0c\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u304c\u5411\u4e0a\u3057\u305f\u3053\u3068\u3092\u78ba\u8a8d\u3057\u307e\u3057\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-family: 'arial black', 'avant garde';font-size: 18px\">Total Unduplicated Reach and Frequency Optimization at Procter &amp; Gamble<\/span><\/p>\n<p>\uff08\u30d7\u30ed\u30af\u30bf\u30fc\u30fb\u30a2\u30f3\u30c9\u30fb\u30ae\u30e3\u30f3\u30d6\u30eb\u793e\uff08P&amp;G\uff09\u306b\u304a\u3051\u308bTURF\uff08Total Unduplicated Reach and Frequency\uff09\u6700\u9069\u5316\uff09<\/p>\n<h6><span style=\"font-size: 14px\">JJeffrey D. Camm, Jeremy Christman, A. Narayanan<\/span><\/h6>\n<p>INFORMS Journal on Applied Analytics 52(2):149-157.\u3000\u3000\u3000<a href=\"https:\/\/doi.org\/10.1287\/inte.2021.1096\">https:\/\/doi.org\/10.1287\/inte.2021.1096<\/a><\/p>\n<p>\u30ad\u30fc\u30ef\u30fc\u30c9\uff1a\u30de\u30fc\u30b1\u30c6\u30a3\u30f3\u30b0\uff0c\u65b0\u88fd\u54c1\uff0c\u8a08\u753b\uff0c\u6574\u6570<\/p>\n<p>\u8981\u65e8\uff1a<\/p>\n<p>Procter &amp; Gamble \u793e\uff08P&amp;G\uff09\u306f\uff0c9\u4e07\u4eba\u4ee5\u4e0a\u306e\u5f93\u696d\u54e1\u3092\u64c1\u3057\uff0c\u4e16\u754c\u7d0480\u30ab\u56fd\u3067\u4e8b\u696d\u3092\u5c55\u958b\u3059\u308b\u6d88\u8cbb\u8ca1\u4f01\u696d\u3067\u3059\uff0eP&amp;G\u306e10\u30ab\u30c6\u30b4\u30ea\u30fc\u306b\u5206\u985e\u3055\u308c\u308b\u88fd\u54c1\u306f\uff0c180\u30ab\u56fd\u4ee5\u4e0a\u3067\u8ca9\u58f2\u3055\u308c\u3066\u3044\u307e\u3059\uff0eP&amp;G\u306eConsumer Research Analytics\u30b0\u30eb\u30fc\u30d7\u306f\uff0cP&amp;G\u306e\u88fd\u54c1\u30dd\u30fc\u30c8\u30d5\u30a9\u30ea\u30aa\u306e\u88fd\u54c1\u304c\u6d88\u8cbb\u8005\u306b\u53d7\u3051\u5165\u308c\u3089\u308c\u308b\u3060\u3051\u3067\u306f\u306a\u304f\uff0c\u591a\u304f\u306e\u6d88\u8cbb\u8005\u306b\u9078\u3070\u308c\u308b\u88fd\u54c1\u3068\u306a\u308a\uff0c\u305d\u308c\u306b\u3088\u3063\u3066P&amp;G\u306e\u5e02\u5834\u30b7\u30a7\u30a2\u3092\u6700\u5927\u5316\u3059\u308b\u305f\u3081\u306b\uff0c\u5206\u6790\u306b\u3088\u3063\u3066\u793e\u5185\u30af\u30e9\u30a4\u30a2\u30f3\u30c8\u3092\u652f\u63f4\u3057\u3066\u3044\u307e\u3059\uff0e\u88fd\u54c1\u30e9\u30a4\u30f3\u3092\u7ba1\u7406\u3059\u308b\u305f\u3081\u306b\u6700\u3082\u983b\u7e41\u306b\u4f7f\u7528\u3055\u308c\u308b\u5206\u6790\u30a2\u30d7\u30ed\u30fc\u30c1\u306e1\u3064\u306fTURF (Total Unduplicated Reach and Frequency) \u5206\u6790\u3067\u3059\uff0e\u3053\u308c\u307e\u3067\u306e\u5217\u6319\u306b\u3088\u308b\u30a2\u30d7\u30ed\u30fc\u30c1\u3092\u6574\u6570\u8a08\u753b\u6cd5\u306b\u7f6e\u304d\u63db\u3048\uff0c\u5358\u4f4d\u8d85\u7acb\u65b9\u4f53\u3078\u306e\u30ab\u30c3\u30c8\u3092\u7d44\u307f\u5408\u308f\u305b\u308b\u3053\u3068\u3067\u5206\u6790\u3092\u5287\u7684\u306b\u9ad8\u901f\u5316\u3057\u307e\u3057\u305f\uff0e\u7d50\u679c\u3068\u3057\u3066\uff0cP&amp;G\u306f\u30b7\u30b9\u30c6\u30e0\u306e\u4f7f\u7528\u7387\u306e\u5411\u4e0a\uff0c\u65e2\u5b58\u88fd\u54c1\u306e\u6539\u826f\uff0c\u305d\u3057\u3066\u53d6\u6271\u3044\u54c1\u76ee\u306e\u8a08\u753b\u3084\u305d\u306e\u4ed6\u306e\u7528\u9014\u306b\u304a\u3051\u308b\u3088\u308a\u7dbf\u5bc6\u306a\u5206\u6790\u3092\u5b9f\u73fe\u3057\u307e\u3057\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-family: 'arial black', 'avant garde';font-size: 18px\">Inventory Management Using a Weekly Review (<em>s<\/em>, <em>S<\/em>) Policy at the Bank of Canada<\/span><\/p>\n<p>\uff08\u30ab\u30ca\u30c0\u9280\u884c\u306b\u304a\u3051\u308b\u9031\u6b21\u30ec\u30d3\u30e5\u30fc(<em>s<\/em>, <em>S<\/em>)\u653f\u7b56\u306b\u3088\u308b\u5728\u5eab\u7ba1\u7406\uff09<\/p>\n<h6><span style=\"font-size: 14px\">Antoine Legrain, Johnathan Patrick\u00a0<\/span><\/h6>\n<p>INFORMS Journal on Applied Analytics 52(2):210-225.\u3000\u3000\u3000<a href=\"https:\/\/doi.org\/10.1287\/inte.2021.1089\">https:\/\/doi.org\/10.1287\/inte.2021.1089<\/a><\/p>\n<p>\u30ad\u30fc\u30ef\u30fc\u30c9\uff1a\u9280\u884c\uff0c\u91d1\u878d\u6a5f\u95a2\uff0c\u5728\u5eab\uff0c\u751f\u7523\uff0c\u30d2\u30e5\u30fc\u30ea\u30b9\u30c6\u30a3\u30af\u30b9\uff0c\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\uff0c\u30b0\u30e9\u30d5\uff0c\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\uff0c\u6d41\u901a<\/p>\n<p>\u8981\u65e8\uff1a<\/p>\n<p>\u30ab\u30ca\u30c0\u9280\u884c (BoC) \u306e\u5f79\u5272\u306e1\u3064\u306f\uff0c\u5168\u56fd\u306b\u5404\u901a\u8ca8\u306e\u5341\u5206\u306a\u5728\u5eab\u3092\u78ba\u4fdd\u3059\u308b\u3053\u3068\u3067\u3059\uff0e\u3053\u308c\u3092\u9054\u6210\u3059\u308b\u305f\u3081\u306b\uff0cBoC\u306f\u5728\u5eab\u3092\u4fdd\u7ba1\u3059\u308b\u305f\u3081\u306e43\u306e\u5730\u57df\u6d41\u901a\u30bb\u30f3\u30bf\u30fc (RDC) \u3092\u8a2d\u7acb\u3057\u307e\u3057\u305f\uff0e\u5404RDC\u306b\u306f\uff0c\u30da\u30ca\u30eb\u30c6\u30a3\u306a\u3057\u3067\u4fdd\u7ba1\u3067\u304d\u308b\u901a\u8ca8\u7dcf\u984d\u306e\u4e0a\u9650\u304c\u8a2d\u5b9a\u3055\u308c\u3066\u3044\u307e\u3059\uff0e\u5730\u65b9\u9280\u884c\u306f\uff0cRDC\u304b\u3089\u306e\u5f15\u304d\u51fa\u3057\u3092\u8981\u6c42\u3059\u308b\u3053\u3068\u3082\uff0cRDC\u306b\u304a\u91d1\u3092\u9810\u3051\u308b\u3053\u3068\u3082\u9078\u629e\u3067\u304d\u307e\u3059\uff0e\u3055\u3089\u306b\uff0cBoC\u306f\uff0c\u30b5\u30fc\u30d3\u30b9\u306b\u9069\u3055\u306a\u3044\u901a\u8ca8\u3092\u56de\u53ce\u3057\u306a\u3051\u308c\u3070\u306a\u3089\u306a\u3044\u3053\u3068\u304c\u3088\u304f\u3042\u308a\u307e\u3059\uff0e\u3057\u305f\u304c\u3063\u3066\uff0cBoC\u306f\uff0c\u9700\u8981\u304c\u30d7\u30e9\u30b9 (\u5f15\u304d\u51fa\u3057) \u306b\u3082\u30de\u30a4\u30ca\u30b9 (\u9810\u91d1) \u306b\u3082\u306a\u308a\u3048\u308b\u53cc\u65b9\u5411\u306e\u5728\u5eab\u7ba1\u7406\u554f\u984c\u306b\u76f4\u9762\u3057\u3066\u304a\u308a\uff0cBoC\u306f\u5728\u5eab\u304c\u5c11\u306a\u3059\u304e\u308b (\u4e0d\u8db3\u306b\u3064\u306a\u304c\u308b) \u3053\u3068\u3068\u5728\u5eab\u304c\u591a\u3059\u304e\u308b (\u9650\u5ea6\u984d\u8d85\u904e\u306e\u30da\u30ca\u30eb\u30c6\u30a3\u306b\u3064\u306a\u304c\u308b) \u3053\u3068\u306e\u4e21\u65b9\u3092\u9632\u6b62\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\uff0e\u5404RDC\u306e\u5728\u5eab\u7ba1\u7406\u306e\u305f\u3081\u306b\uff0c\u5404RDC\u3078\u306e\u5728\u5eab\u51fa\u8377\u91cf\u3068\u5404RDC\u304b\u3089\u306e\u5728\u5eab\u51fa\u8377\u91cf\u3092\u6bce\u9031\u6c7a\u5b9a\u3059\u308b\uff0c\u9069\u5fdc\u578b\u9031\u6b21\u30ec\u30d3\u30e5\u30fc\uff08<em>s<\/em>, <em>S<\/em>\uff09\u653f\u7b56\u3092\u5c0e\u5165\u3057\u307e\u3057\u305f\uff0eBoC\u306f\uff0c2018\u5e74\u524d\u534a\u307e\u3067\u3053\u306e\u653f\u7b56\u3092\u5b9f\u65bd\u3057\u307e\u3057\u305f\uff0e\u904e\u53bb2\u5e74\u9593\u3068\u306e\u6bd4\u8f03\u3067\u306f\uff0c\u5c0e\u5165\u524d\u306e\u30b3\u30b9\u30c8\u304c\u5e74\u3005\u5897\u52a0\u3057\u3066\u3044\u305f\u306b\u3082\u304b\u304b\u308f\u3089\u305a\uff0c\u5c0e\u5165\u5f8c12\u304b\u6708\u9593\u306e\u8f38\u9001\u30b3\u30b9\u30c8\u306f\uff0c\u305d\u306e\u524d\u306e\uff12\u5e74\u9593\u306e\u5e73\u5747\u3068\u6bd4\u8f03\u3057\u3066\u7d0415%\u4f4e\u4e0b\u3057\u305f\u3053\u3068\u304c\u793a\u3055\u308c\u307e\u3057\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-family: 'arial black', 'avant garde';font-size: 18px\">Limousine Service Management: Capacity Planning with Predictive Analytics and Optimization<\/span><\/p>\n<p>\uff08\u30ea\u30e0\u30b8\u30f3\u30b5\u30fc\u30d3\u30b9\u7ba1\u7406\uff1a\u4e88\u6e2c\u5206\u6790\u3068\u6700\u9069\u5316\u306b\u3088\u308b\u30b5\u30fc\u30d3\u30b9\u5bb9\u91cf\u8a08\u753b\uff09<\/p>\n<h6><span style=\"font-size: 14px\">Peng Liu , Ying Chen , Chung-Piaw Teo\u00a0<\/span><\/h6>\n<p>INFORMS Journal on Applied Analytics 51(4):280-296.\u3000\u3000\u3000<a href=\"https:\/\/doi.org\/10.1287\/inte.2021.1079\">https:\/\/doi.org\/10.1287\/inte.2021.1079<\/a><\/p>\n<p>\u30ad\u30fc\u30ef\u30fc\u30c9\uff1a\u9700\u8981\u4e88\u6e2c\uff0c\u30b9\u30b1\u30b8\u30e5\u30fc\u30ea\u30f3\u30b0\uff0c\u30d7\u30ed\u30bb\u30b9\u30aa\u30fc\u30c8\u30e1\u30fc\u30b7\u30e7\u30f3\uff0c\u30db\u30b9\u30d4\u30bf\u30ea\u30c6\u30a3<\/p>\n<p>\u8981\u65e8\uff1a<\/p>\n<p>\u9ad8\u7d1a\u30db\u30c6\u30eb\u306b\u304a\u3051\u308b\u30ea\u30e0\u30b8\u30f3\u30b5\u30fc\u30d3\u30b9\u306f\uff0c\u30db\u30b9\u30d4\u30bf\u30ea\u30c6\u30a3\u696d\u754c\u306b\u304a\u3051\u308b\u30ab\u30b9\u30bf\u30de\u30fc\u30b8\u30e3\u30fc\u30cb\u30fc\u5168\u4f53\u306e\u91cd\u8981\u306a\u8981\u7d20\u3067\u3059\uff0e\u30b7\u30f3\u30ac\u30dd\u30fc\u30eb\u6700\u5927\u7d1a\u306e\u30db\u30c6\u30eb\u3067\u306f\uff0c24\u6642\u9593\u4f53\u5236\u3067\u81ea\u793e\u8eca\u4e21\u3068\u5916\u6ce8\u8eca\u4e21\u306e\u4e21\u65b9\u3092\u7ba1\u7406\u3057\uff0c\u6708\u5e73\u57479,000\u4fbf\u3092\u904b\u884c\u3057\u3066\u3044\u307e\u3059\uff0e\u7279\u306b\u56fd\u5185\u306e\u7279\u5225\u306a\u30a4\u30d9\u30f3\u30c8\u958b\u50ac\u65e5\u3084\u795d\u796d\u65e5\u671f\u9593\u4e2d\u306b\u306f\uff0c\u8eca\u4e21\u306e\u9700\u8981\u304c\u6025\u5897\u3059\u308b\u3053\u3068\u304c\u3042\u308a\u307e\u3059\uff0e\u81ea\u793e\u8eca\u4e21\u3067\u5bfe\u5fdc\u3067\u304d\u306a\u3044\u5834\u5408\u306b\u306f\u5916\u6ce8\u8eca\u4e21\u3092\u8ffd\u52a0\u5f85\u6a5f\u3055\u305b\u308b\u3053\u3068\u3067\u5bfe\u5fdc\u3057\u307e\u3059\u304c\uff0c\u3053\u308c\u306b\u306f\u5e74\u9593\u6570\u767e\u4e07\u5186\u306e\u8ffd\u52a0\u8cbb\u7528\u304c\u30db\u30c6\u30eb\u306b\u767a\u751f\u3057\u3066\u3044\u307e\u3059\uff0e\u3057\u304b\u3057\uff0c\u6642\u9593\u5e2f\u3054\u3068\u306b\u5fc5\u8981\u306a\u30ea\u30e0\u30b8\u30f3\u306e\u53f0\u6570\u3092\u6c7a\u5b9a\u3059\u308b\u30b5\u30fc\u30d3\u30b9\u5bb9\u91cf\u6c7a\u5b9a\u554f\u984c\u306f\uff0c\u89e3\u304f\u3053\u3068\u304c\u56f0\u96e3\u306a\u30c1\u30e3\u30ec\u30f3\u30b8\u30f3\u30b0\u306a\u554f\u984c\u3067\u3059\uff0e\u672c\u8ad6\u6587\u3067\u306f\uff0c\u5e74\u9593320\u4e07\u30b7\u30f3\u30ac\u30dd\u30fc\u30eb\u30c9\u30eb\u306e\u7bc0\u7d04\u3092\u5b9f\u73fe\u3057\u306a\u304c\u3089\u30b5\u30fc\u30d3\u30b9\u30ec\u30d9\u30eb\u3092\u5411\u4e0a\u3055\u305b\u305f\uff0c\u30ea\u30e0\u30b8\u30f3\u53f0\u6570\u306e\u6c7a\u5b9a\u554f\u984c\u3092\u89e3\u6c7a\u3059\u308b\u305f\u3081\u306b\u884c\u308f\u308c\u305f\u6700\u8fd1\u306e\u5909\u9769\u7684\u306a\u53d6\u308a\u7d44\u307f\u3092\u7d39\u4ecb\u3057\u307e\u3059\uff0e\u3053\u306e\u30a2\u30d7\u30ed\u30fc\u30c1\u306f\u5e83\u304f\u5229\u7528\u53ef\u80fd\u306a\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u306e\u7d71\u8a08\u7684\u624b\u6cd5\u3068\u30b9\u30d7\u30ec\u30c3\u30c9\u30b7\u30fc\u30c8\u306e\u6700\u9069\u5316\u30c4\u30fc\u30eb\u306b\u52a0\u3048\uff0c\u30ed\u30dc\u30c6\u30a3\u30c3\u30af\u30fb\u30d7\u30ed\u30bb\u30b9\u30fb\u30aa\u30fc\u30c8\u30e1\u30fc\u30b7\u30e7\u30f3\u3092\u7528\u3044\u308b\u3053\u3068\u3067\uff0c\u30db\u30c6\u30eb\u304c\u4fdd\u6709\u3059\u308b\u30ea\u30e0\u30b8\u30f3\u3068\u904b\u8ee2\u624b\u306e\u30b9\u30b1\u30b8\u30e5\u30fc\u30eb\u3092\u6700\u9069\u5316\u3057\uff0c\u8a08\u753b\u8005\uff0c\u304a\u3088\u3073\u7ba1\u7406\u8005\u304c\u6301\u7d9a\u7684\u306b\u30d3\u30b8\u30cd\u30b9\u4fa1\u5024\u3092\u751f\u307f\u51fa\u3059\u610f\u601d\u6c7a\u5b9a\u3092\u652f\u63f4\u3057\u3066\u3044\u307e\u3059\uff0e<\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-family: 'arial black', 'avant garde';font-size: 18px\">Seasonal Inventory Management Model for Raw Materials in Steel Industry<\/span><\/p>\n<p>\uff08\u9244\u92fc\u696d\u306b\u304a\u3051\u308b\u5b63\u7bc0\u5909\u52d5\u3092\u8003\u616e\u3057\u305f\u539f\u6599\u306e\u5728\u5eab\u7ba1\u7406\u30e2\u30c7\u30eb\uff09<\/p>\n<h6><span style=\"font-size: 14px\">Kosuke Kawakami, Hirokazu Kobayashi, Kazuhide Nakata\u00a0<\/span><\/h6>\n<p>INFORMS Journal on Applied Analytics 51(4):312-324.\u3000\u3000\u3000<a href=\"https:\/\/doi.org\/10.1287\/inte.2021.1073\">https:\/\/doi.org\/10.1287\/inte.2021.1073<\/a><\/p>\n<p>\u30ad\u30fc\u30ef\u30fc\u30c9\uff1a\u7d71\u8a08\u7684\u5728\u5eab\u653f\u7b56, \u5b89\u5168\u5728\u5eab\u7ba1\u7406, \u8907\u6570\u5de5\u5834, \u8907\u6570\u54c1\u7a2e\u7ba1\u7406, 2 \u6bb5\u968e\u30e2\u30c7\u30eb<\/p>\n<p>\u8981\u65e8\uff1a<\/p>\n<p>\u8907\u6570\u306e\u30b5\u30d7\u30e9\u30a4\u30e4\u30fc\u3068\u8907\u6570\u306e\u88fd\u9244\u6240\u3092\u6709\u3059\u308b\u88fd\u9244\u696d\u306b\u304a\u3051\u308b\u9244\u9271\u77f3\u3084\u77f3\u70ad\u306a\u3069\u306e\u539f\u6750\u6599\u306b\u5bfe\u3059\u308b\u5b63\u7bc0\u5909\u52d5\u3092\u8003\u616e\u3057\u305f\u9069\u6b63\u5728\u5eab\u7ba1\u7406\u30e2\u30c7\u30eb\u3092\u958b\u767a\u3057\u307e\u3057\u305f. \u65e5\u672c\u88fd\u9244\u682a\u5f0f\u4f1a\u793e\u306f, \u30aa\u30fc\u30b9\u30c8\u30e9\u30ea\u30a2, \u30d6\u30e9\u30b8\u30eb, \u30ab\u30ca\u30c0\u306a\u3069\u304b\u3089\u8239\u8236\u3067\u5e74\u9593 1 \u5104\u30c8\u30f3\u4ee5\u4e0a\u306e\u539f\u6750\u6599\u3092\u8f38\u5165\u3057\u3066\u3044\u307e\u3059\uff0e \u8f38\u5165\u3055\u308c\u305f\u539f\u6750\u6599\u306f\u65e5\u672c\u56fd\u5185\u306e\u88fd\u9244\u6240\u306b\u904b\u3070\u308c, \u539f\u6599\u30e4\u30fc\u30c9\u3068\u547c\u3070\u308c\u308b\u539f\u6750\u6599\u5c02\u7528\u306e\u30b9\u30da\u30fc\u30b9\u306b\u4e00\u6642\u4fdd\u7ba1\u3055\u308c\u307e\u3059. \u65e5\u672c\u56fd\u5185\u306e\u539f\u6599\u30e4\u30fc\u30c9\u306f\u5bb9\u91cf\u304c\u9650\u3089\u308c\u3066\u304a\u308a, \u539f\u6599\u30e4\u30fc\u30c9\u306e\u5bb9\u91cf\u30aa\u30fc\u30d0\u30fc\u306b\u3088\u308b\u8239\u8236\u306e\u6d0b\u4e0a\u5f85\u6a5f\u304c\u3057\u3070\u3057\u3070\u767a\u751f\u3057\u307e\u3059. \u3053\u306e\u6d0b\u4e0a\u5f85\u6a5f\u306b\u4f34\u3044\u767a\u751f\u3059\u308b\u6ede\u8239\u6599\u306f\u83ab\u5927\u3067\u3042\u308a, \u6ede\u8239\u6599\u3092\u6291\u3048\u308b\u305f\u3081\u306b\u539f\u6750\u6599\u306e\u5728\u5eab\u30ec\u30d9\u30eb\u3092\u3067\u304d\u308b\u3060\u3051\u4f4e\u304f\u6291\u3048\u3066\u539f\u6599\u30e4\u30fc\u30c9\u306e\u5bb9\u91cf\u30aa\u30fc\u30d0\u30fc\u3092\u9632\u304c\u306a\u3051\u308c\u3070\u306a\u308a\u307e\u305b\u3093\uff0e \u3057\u304b\u3057, \u5728\u5eab\u30ec\u30d9\u30eb\u3092\u4f4e\u304f\u6291\u3048\u3059\u304e\u308b\u3068, \u5b63\u7bc0\u7684\u306a\u4f9b\u7d66\u30c8\u30e9\u30d6\u30eb (\u30aa\u30fc\u30b9\u30c8\u30e9\u30ea\u30a2\u306e\u30b5\u30a4\u30af\u30ed\u30f3\u306a\u3069) \u304c\u539f\u56e0\u3067\u5728\u5eab\u4e0d\u8db3\u304c\u767a\u751f\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059. \u5728\u5eab\u306e\u904e\u4e0d\u8db3\u306f\u3044\u305a\u308c\u3082\u30b3\u30b9\u30c8\u306e\u5897\u52a0\u306b\u3064\u306a\u304c\u308b\u305f\u3081, \u9069\u6b63\u306a\u5728\u5eab\u6c34\u6e96\u3092\u6c7a\u5b9a\u3057\u306a\u3051\u308c\u3070\u306a\u308a\u307e\u305b\u3093. \u3053\u306e\u8ab2\u984c\u306b\u5bfe\u3057\u3066\u6211\u3005\u306f, \u8239\u8236\u306e\u914d\u8239\u696d\u52d9\u3092\u89e3\u6790\u3059\u308b\u3053\u3068\u3067\u8239\u306e\u904b\u822a\u304c\u65e5\u672c\u8fd1\u6d77\u3078\u306e\u5230\u7740\u3068\u65e5\u672c\u304b\u3089\u5404\u88fd\u9244\u6240\u3078\u306e\u914d\u8239\u306e2\u3064\u306b\u5206\u3051\u3089\u308c\u308b\u3053\u3068\u306b\u7740\u76ee\u3057, \u65e5\u672c\u8fd1\u6d77\u3078\u306e\u5230\u7740\u3092\u975e\u5b9a\u5e38\u30dd\u30a2\u30bd\u30f3\u5206\u5e03, \u65e5\u672c\u304b\u3089\u5404\u88fd\u9244\u6240\u3078\u306e\u914d\u8239\u3092\u6307\u6570\u5206\u5e03\u304c\u8907\u6570\u56de\u751f\u3058\u305f\u969b\u306e\u5206\u5e03\u3092\u793a\u3059\u975e\u5b9a\u5e38\u30ac\u30f3\u30de\u5206\u5e03\u3068\u3057\u3066\u30e2\u30c7\u30eb\u5316\u3057\u307e\u3057\u305f\uff0e \u3053\u308c\u306b\u3088\u308a, \u9069\u6b63\u5728\u5eab\u3092\u5b63\u7bc0\u5909\u52d5\u3082\u542b\u3081\u6570\u7406\u7684\u306b\u8003\u616e\u53ef\u80fd\u3068\u306a\u308a, \u590f\u5b63\u306b 14%, \u51ac\u5b63\u306b 6% \u306e\u5728\u5eab\u524a\u6e1b\u304c\u53ef\u80fd\u3068\u306a\u308a\u307e\u3057\u305f.<\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-family: 'arial black', 'avant garde';font-size: 18px\">Network Mode Optimization for the DHL Supply Chain<\/span><\/p>\n<p>\uff08DHL\u30b5\u30d7\u30e9\u30a4\u30c1\u30a7\u30fc\u30f3\u306e\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u5f62\u614b\u6700\u9069\u5316\uff09<\/p>\n<h6><span style=\"font-size: 14px\">Yibo Dang , Manjeet Singh , Theodore T. Allen\u00a0<\/span><\/h6>\n<p>INFORMS Journal on Applied Analytics 51(3):179-199.\u3000\u3000\u3000<a href=\"https:\/\/doi.org\/10.1287\/inte.2020.1046\">https:\/\/doi.org\/10.1287\/inte.2020.1046<\/a><\/p>\n<p>\u30ad\u30fc\u30ef\u30fc\u30c9\uff1a\u8f38\u914d\u9001\uff0c\u6642\u9593\u30fb\u904b\u9001\u696d\u8005\u5236\u7d04\u4ed8\u304d\u914d\u9001\u8a08\u753b\u554f\u984c\uff0c\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u6700\u9069\u5316\uff0c\u5185\u88fd\u30fb\u5916\u52e2\u6c7a\u5b9a\uff0c\u87fb\u30b3\u30ed\u30cb\u30fc\u6700\u9069\u5316<\/p>\n<p>\u8981\u65e8\uff1a<\/p>\n<p>\u5317\u7c73\u306eDHL\u30b5\u30d7\u30e9\u30a4\u30c1\u30a7\u30fc\u30f3\u306f\uff0c\u6bce\u5e742000\u4e07\u500b\u3092\u8d8a\u3048\u308b\u8377\u7269\u3092\u914d\u9001\u3057\u3066\u3044\u307e\u3059\uff0eDHL\u306e\u8f38\u9001\u8a08\u753b\u62c5\u5f53\u8005\u306f\u591a\u304f\u306e\u30d3\u30b8\u30cd\u30b9\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306b\u304a\u3044\u3066\uff0c\u914d\u9001\u3068\u30b3\u30b9\u30c8\u524a\u6e1b\u306e\u696d\u52d9\u3092\u5b9f\u65bd\u3057\u3066\u3044\u307e\u3059\uff0e\u79c1\u305f\u3061\u306f\uff0c\u3053\u306e\u8a08\u753b\u554f\u984c\u3092\u6642\u9593\u898f\u5b9a\u304a\u3088\u3073\u4e00\u822c\u904b\u9001\u696d\u8005\u4ed8\u304d\u914d\u9001\u8a08\u753b\u554f\u984c (VRPTRCC) \u3068\u547c\u3073\u307e\u3059\uff0e\u5358\u4e00\u306e\u8f38\u9001\u624b\u6bb5\u306e\u307f\u3092\u7528\u3044\u308b\u901a\u5e38\u306e\u914d\u9001\u8a08\u753b\u554f\u984c\u3068\u7570\u306a\u308a\uff0c\u79c1\u305f\u3061\u306eVRPTRCC\u306e\u4e8b\u4f8b\u3067\u306f\uff0c\u8377\u7269\u306e\u914d\u9001\u306e\u4e00\u90e8\u3092\u6700\u7d42\u7684\u306bDHL\u4ee5\u5916\u306e\u4e00\u822c\u904b\u9001\u696d\u8005\u306b\u4e0b\u8acb\u3051\u306b\u51fa\u3059\u305f\u3081\uff0c\u5916\u6ce8\u306e\u5224\u65ad\u304c\u542b\u307e\u308c\u307e\u3059\uff0e\u6642\u9593\u898f\u5b9a\u306f\uff0c\u914d\u9054\u6642\u9593\u67a0\u3060\u3051\u3067\u306f\u306a\u304f\uff0c\u4e2d\u7d99\u3084\u904b\u8ee2\u6642\u9593\u306e\u5236\u9650\u3082\u8003\u616e\u3057\u305f\u554f\u984c\u3092\u610f\u5473\u3057\u307e\u3059\uff0e\u79c1\u305f\u3061\u306e\u958b\u767a\u3057\u305f\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u5f62\u614b\u6700\u9069\u5316\u30c4\u30fc\u30eb (NMOT) \u306f\u30a2\u30f3\u30c8\u30b3\u30ed\u30cb\u30fc\u6700\u9069\u5316 (ACO) \u306b\u3082\u3068\u3065\u304f\u8a08\u753b\u306b\u3088\u308a\uff0cDHL\u30b5\u30d7\u30e9\u30a4\u30c1\u30a7\u30fc\u30f3\u306e\u8f38\u9001\u5206\u6790\u8005\u304c\u30ed\u30b8\u30b9\u30c6\u30a3\u30af\u30b9\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u304a\u3044\u3066\u30b3\u30b9\u30c8\u524a\u6e1b\u306e\u7279\u5b9a\u3092\u652f\u63f4\u3057\u307e\u3059\uff0eNMOT\u3092\u7528\u3044\u308b\u3053\u3068\u3067\uff0cDHL\u3068\u9867\u5ba2\u306f\u5e74\u9593\u6570\u767e\u4e07\u30c9\u30eb\u3092\u7bc0\u7d04\u3057\u3066\u3044\u307e\u3059\uff0e\u307e\u305f\uff0cNMOT\u306f\uff0cDHL\u304c\u5165\u672d\u7af6\u5408\u8005\u304b\u3089\u65b0\u898f\u9867\u5ba2\u3092\u7372\u5f97\u3059\u308b\u52a9\u3051\u3068\u306a\u308a\uff0c\u898b\u7a4d\u308a\u6642\u9593\u3092\u6570\u9031\u9593\u304b\u3089\u6570\u6642\u9593\u306b\u77ed\u7e2e\u3057\u3066\u3044\u307e\u3059\uff0e\u65b0\u898f\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306e\u7d44\u307f\u5408\u308f\u305b\u904b\u7528\u30b3\u30b9\u30c8\u3092\u524a\u6e1b\u3057\u305f\u3053\u3068\u3067\uff0c\u4ee5\u524d\u306e\u696d\u52d9\u30d7\u30ed\u30bb\u30b9\u3068\u6bd4\u8f03\u3057\u3066\u5229\u76ca\u304c15%\u4ee5\u4e0a\u7d14\u5897\u3057\u305f\u7d50\u679c\u304c\u793a\u3055\u308c\u307e\u3057\u305f\uff0eNMOT\u306f\u9032\u884c\u4e2d\u306e\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306e\u30c7\u30fc\u30bf\u3092\u7528\u3044\u3066\u5b9f\u88c5\u30fb\u8a55\u4fa1\u3055\u308c\u3066\u3044\u307e\u3059\uff0e<\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-family: 'arial black', 'avant garde';font-size: 18px\">Operations Research Improves Biomanufacturing Efficiency at MSD Animal Health<\/span><\/p>\n<p>\uff08\u30aa\u30da\u30ec\u30fc\u30b7\u30e7\u30f3\u30ba\u30fb\u30ea\u30b5\u30fc\u30c1\u3092\u7528\u3044\u305fMSD Animal Health\u793e\u306b\u304a\u3051\u308b\u30d0\u30a4\u30aa\u30de\u30cb\u30e5\u30d5\u30a1\u30af\u30c1\u30e3\u30ea\u30f3\u30b0\u52b9\u679c\u306e\u6539\u5584\uff09<\/p>\n<h6><span style=\"font-size: 14px\">Tugce Martagan, Yesim Koca,Ivo Adan,Bram van Ravenstein,Marc Baaijens,Oscar Repping\u00a0<\/span><\/h6>\n<p>INFORMS Journal on Applied Analytics 51(2):150-163.\u3000\u3000\u3000<a href=\"https:\/\/doi.org\/10.1287\/inte.2020.1054\">https:\/\/doi.org\/10.1287\/inte.2020.1054<\/a><\/p>\n<p>\u30ad\u30fc\u30ef\u30fc\u30c9\uff1a\u30d0\u30a4\u30aa\u30de\u30cb\u30e5\u30d5\u30a1\u30af\u30c1\u30e3\u30ea\u30f3\u30b0\uff0c\u767a\u9175\uff0c\u6700\u9069\u5316\uff0c\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\uff0c\u518d\u751f\u7406\u8ad6\uff0c\u30b3\u30b9\u30c8\u524a\u6e1b<\/p>\n<p>\u8981\u65e8\uff1a<\/p>\n<p>\u30d0\u30a4\u30aa\u30de\u30cb\u30e5\u30d5\u30a1\u30af\u30c1\u30e3\u30ea\u30f3\u30b0\u306f\uff0c\u751f\u7269\uff08\u30a6\u30a4\u30eb\u30b9\u3084\u7d30\u83cc\u306a\u3069\uff09\u3092\u4f7f\u3063\u3066\u6709\u52b9\u6210\u5206\u3092\u751f\u6210\u3059\u308b\u624b\u6cd5\u3067\u3042\u308a\uff0c\u305d\u306e\u70b9\u3067\u4ed6\u306e\u7523\u696d\u3068\u306f\u7570\u306a\u308b\u8ab2\u984c\u3092\u5f15\u304d\u8d77\u3053\u3057\u307e\u3059\uff0e\u4f8b\u3048\u3070\uff0c\u30d0\u30a4\u30aa\u30e1\u30fc\u30ab\u30fc\u306f\uff0c\u751f\u7523\u53ce\u7387\uff0c\u30ea\u30fc\u30c9\u30bf\u30a4\u30e0\uff0c\u304a\u3088\u3073\u30b3\u30b9\u30c8\u306b\u95a2\u3057\u3066\uff0c\u5927\u304d\u306a\u4e0d\u78ba\u5b9f\u5ea6\u3068\u30d0\u30c3\u30c1\u3054\u3068\u306e\u3070\u3089\u3064\u304d\u306b\u3057\u3070\u3057\u3070\u76f4\u9762\u3057\u307e\u3059\uff0e\u30d0\u30a4\u30aa\u30bb\u30fc\u30d5\u30c6\u30a3\u306e\u8981\u4ef6\u306f\uff0c\u751f\u7523\u5de5\u7a0b\u5168\u4f53\u3092\u901a\u3057\u305f\u30bc\u30ed\u5f85\u6a5f\u6642\u9593\u8981\u4ef6\u306e\u3088\u3046\u306a\u5236\u7d04\u3092\u8ab2\u3057\u307e\u3059\uff0e\u52a0\u3048\u3066\uff0c\u30d0\u30a4\u30aa\u30de\u30cb\u30e5\u30d5\u30a1\u30af\u30c1\u30e3\u30ea\u30f3\u30b0\u306f\u30b3\u30b9\u30c8\u3068\u52b4\u529b\u304c\u304b\u304b\u308a\uff0c\u5931\u6557\u306e\u30ea\u30b9\u30af\u3082\u9ad8\u3044\u3067\u3059\uff0e\u3053\u308c\u3089\u306e\u8ab2\u984c\u306b\u5bfe\u51e6\u3059\u308b\u305f\u3081\uff0c\u8907\u6570\u306e\u7814\u7a76\u5206\u91ce\u304b\u3089\u306a\u308b\u7814\u7a76\u8005\u30c1\u30fc\u30e0\u306e3\u5e74\u306b\u304a\u3088\u3076\u5354\u696d\u306b\u3088\u308a\uff0c\u6700\u9069\u5316\u30e2\u30c7\u30eb\u3068\u610f\u601d\u6c7a\u5b9a\u652f\u63f4\u30c4\u30fc\u30eb\u304b\u3089\u306a\u308b\u30dd\u30fc\u30c8\u30d5\u30a9\u30ea\u30aa\u3092\u958b\u767a\u3057\u307e\u3057\u305f\uff0e\u3053\u308c\u3089\u306e\u30c4\u30fc\u30eb\u306f\uff0c\u78ba\u7387\u7684\u6700\u9069\u5316\uff0c\u30d9\u30a4\u30ba\u5b9f\u9a13\u8a08\u753b\u6cd5\uff0c\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u6700\u9069\u5316\u306a\u3069\uff0c\u3055\u307e\u3056\u307e\u306a\u30aa\u30da\u30ec\u30fc\u30b7\u30e7\u30f3\u30ba\u30fb\u30ea\u30b5\u30fc\u30c1\u306e\u65b9\u6cd5\u8ad6\u3092\u7528\u3044\u3066\uff0c\u30d0\u30a4\u30aa\u88fd\u9020\u52b9\u7387\u3092\u5411\u4e0a\u3055\u305b\u308b\u3053\u3068\u3092\u76ee\u7684\u3068\u3057\u307e\u3059\uff0e\u958b\u767a\u3055\u308c\u305f\u30e2\u30c7\u30eb\u306f\uff0c\u30d0\u30a4\u30aa\u88fd\u9020\u30d7\u30ed\u30bb\u30b9\u306e\u57fa\u790e\u3068\u306a\u308b\u751f\u7269\u5b66\u3068\u5316\u5b66\u3092\uff0c\u8ca1\u52d9\u4e0a\u306e\u30c8\u30ec\u30fc\u30c9\u30aa\u30d5\u3084\u30d3\u30b8\u30cd\u30b9\u30ea\u30b9\u30af\u3068\u7d50\u3073\u3064\u3051\u307e\u3059\uff0e\u672c\u7814\u7a76\u306f\uff0c\u30aa\u30e9\u30f3\u30c0\u306eBoxmeer\u306b\u3042\u308bMSD Animal Health\u793e\u3068\u306e\u7dca\u5bc6\u306a\u5354\u529b\u306e\u3082\u3068\u3067\u5b9f\u65bd\u3055\u308c\u307e\u3057\u305f\uff0eMSD AH\u793e\u306b\u304a\u3051\u308b\u5b9f\u7528\u5316\u306e\u7d50\u679c\uff0c\u30d0\u30c3\u30c1\u6b69\u7559\u307e\u308a\u304c\u6700\u592750%\u5411\u4e0a\u3057\uff0c\u5e74\u95935,000\u4e07\u30e6\u30fc\u30ed\u306e\u8ffd\u52a0\u53ce\u76ca\u304c\u3082\u305f\u3089\u3055\u308c\u308b\u3068\u3044\u3046\u5927\u304d\u306a\u52b9\u679c\u3092\u3082\u305f\u3089\u3057\u307e\u3057\u305f\uff0e\u3053\u3046\u3057\u305f\u30aa\u30da\u30ec\u30fc\u30b7\u30e7\u30f3\u30ba\u30fb\u30ea\u30b5\u30fc\u30c1\u306e\u5fdc\u7528\u306f\uff0c\u30d0\u30a4\u30aa\u88fd\u9020\u696d\u754c\u306b\u3068\u3063\u3066\u975e\u5e38\u306b\u65b0\u3057\u3044\u53d6\u308a\u7d44\u307f\u3067\u3059\uff0eMSD AH\u793e\u306e\u3088\u3046\u306a\u4f01\u696d\u306e\u3088\u308a\u591a\u304f\u304c\u30aa\u30da\u30ec\u30fc\u30b7\u30e7\u30f3\u30ba\u30fb\u30ea\u30b5\u30fc\u30c1\u3092\u5229\u6d3b\u7528\u3059\u308b\u3053\u3068\u3067\uff0c\u696d\u754c\u304c\u65b0\u3057\u3044\u6cbb\u7642\u6cd5\u3078\u306e\u30a2\u30af\u30bb\u30b9\u3092\u3088\u308a\u65e9\u304f\uff0c\u3088\u308a\u5b89\u4fa1\u306b\u63d0\u4f9b\u3059\u308b\u3053\u3068\u306b\u5927\u304d\u304f\u8ca2\u732e\u3059\u308b\u3082\u306e\u3068\u78ba\u4fe1\u3057\u307e\u3059\uff0e<\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-family: 'arial black', 'avant garde';font-size: 18px\">Intel Realizes $25 Billion by Applying Advanced Analytics from Product Architecture Design Through Supply Chain Planning<\/span><\/p>\n<p>\uff08\u30a4\u30f3\u30c6\u30eb\uff0c\u88fd\u54c1\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u8a2d\u8a08\u304b\u3089\u30b5\u30d7\u30e9\u30a4\u30c1\u30a7\u30fc\u30f3\u8a08\u753b\u307e\u3067\u9ad8\u5ea6\u306a\u5206\u6790\u3092\u9069\u7528\u3059\u308b\u3053\u3068\u3067 250\u5104\u30c9\u30eb\u3092\u5b9f\u73fe\uff09<\/p>\n<h6><span style=\"font-size: 14px\">John Heiney, Ryan Lovrien, Nicholas Mason, Irfan Ovacik, Evan Rash, Nandini Sarkar, Harry Travis, Zhenying Zhao, Kalani Ching, Shamin Shirodkar, Karl Kempf\u00a0<\/span><\/h6>\n<p>INFORMS Journal on Applied Analytics 51(1):9-25.\u3000\u3000\u3000<a href=\"https:\/\/doi.org\/10.1287\/inte.2020.1067\">https:\/\/doi.org\/10.1287\/inte.2020.1067<\/a><\/p>\n<p>\u30ad\u30fc\u30ef\u30fc\u30c9\uff1a\u30b5\u30d7\u30e9\u30a4\u30c1\u30a7\u30fc\u30f3\u8a08\u753b\u6700\u9069\u5316\uff0c\u8a2d\u8a08\u8a08\u753b\u7d71\u5408\uff0c\u5206\u5272\u554f\u984c\uff0c\u6df7\u5408\u6574\u6570\u8a08\u753b\u6cd5\uff0c\u907a\u4f1d\u7684\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\uff0c\u30c7\u30d0\u30a4\u30b9\u7269\u7406\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\uff0cEdelman\u8cde\uff0c\u534a\u5c0e\u4f53\u88fd\u9020<\/p>\n<p>\u8981\u65e8\uff1a<\/p>\n<p>\u898f\u6a21\uff0c\u88fd\u54c1\u3068\u88fd\u9020\u30d7\u30ed\u30bb\u30b9\u306e\u8907\u96d1\u3055\uff0c\u534a\u5c0e\u4f53\u30d3\u30b8\u30cd\u30b9\u306e\u8cc7\u672c\u96c6\u7d04\u7684\u306a\u6027\u8cea\u304b\u3089\uff0c\u30a4\u30f3\u30c6\u30eb\u306e\u6210\u529f\u306b\u306f\u30b5\u30d7\u30e9\u30a4\u30c1\u30a7\u30fc\u30f3\u8a08\u753b\u3068\u7d71\u5408\u3055\u308c\u305f\u52b9\u7387\u7684\u306a\u88fd\u54c1\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u8a2d\u8a08\u304c\u4e0d\u53ef\u6b20\u3067\u3059\uff0e\u6307\u6570\u95a2\u6570\u7684\u306b\u5897\u52a0\u3059\u308b\u8907\u96d1\u6027\u306b\u5bfe\u5fdc\u3059\u308b\u305f\u3081\uff0c\u30a4\u30f3\u30c6\u30eb\u306f\u9ad8\u5ea6\u306a\u5206\u6790\u3092\u4f7f\u7528\u3057\u3066\uff0c\u53ce\u76ca\u306e\u6700\u5927\u5316\u3068\u30b3\u30b9\u30c8\u306e\u6700\u5c0f\u5316\u3068\u3044\u30462\u3064\u306e\u76ee\u6a19\u3092\u63b2\u3052\uff0c\u88fd\u54c1\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u306e\u8a2d\u8a08\u304b\u3089\u30b5\u30d7\u30e9\u30a4\u30c1\u30a7\u30fc\u30f3\u8a08\u753b\u307e\u3067\u9769\u65b0\u7684\u306a\u6a5f\u80fd\u3092\u958b\u767a\u3057\u307e\u3057\u305f\uff0e\u5177\u4f53\u7684\u306b\u306f\uff0c\u907a\u4f1d\u7684\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3068\u30c7\u30d0\u30a4\u30b9\u7269\u7406\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u3092\u4f7f\u7528\u3057\u305f\u88fd\u54c1\u8a2d\u8a08\u6848\u306e\u751f\u6210\u3068\u6700\u9069\u5316\u3092\uff0c\u554f\u984c\u306e\u5206\u5272\u3068\u6df7\u5408\u6574\u6570\u8a08\u753b\u6cd5\u3092\u4f7f\u7528\u3057\u305f\u5927\u898f\u6a21\u306a\u30b5\u30d7\u30e9\u30a4\u30c1\u30a7\u30fc\u30f3\u8a08\u753b\u3068\u7d71\u5408\u3057\u3066\u3057\u307e\u3059\uff0e\u3053\u306e\u5168\u793e\u898f\u6a21\u306e\u6a5f\u80fd\u306f\u8fc5\u901f\u304b\u3064\u52b9\u679c\u7684\u3067\u3042\u308a\uff0c\u5f93\u6765\u306e\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3\u3088\u308a\u3082\u306f\u308b\u304b\u306b\u77ed\u3044\u6642\u9593\u3067\u3088\u308a\u591a\u304f\u306e\u30d3\u30b8\u30cd\u30b9\u30b7\u30ca\u30ea\u30aa\u306e\u5206\u6790\u3092\u53ef\u80fd\u306b\u3059\u308b\u3068\u540c\u6642\u306b\uff0c\u9867\u5ba2\u3078\u306e\u5fdc\u7b54\u6642\u9593\u306e\u77ed\u7e2e\u306a\u3069\uff0c\u512a\u308c\u305f\u7d50\u679c\u3092\u63d0\u4f9b\u3057\u307e\u3059\uff0e\u30a4\u30f3\u30c6\u30eb\u306e\u88fd\u54c1\u30dd\u30fc\u30c8\u30d5\u30a9\u30ea\u30aa\u306e\u5927\u90e8\u5206\u306b\u3053\u306e\u6a5f\u80fd\u3092\u5b9f\u88c5\u3059\u308b\u3053\u3068\u3067\uff0c\u5e74\u9593\u53ce\u76ca\u306f\u5e73\u574719\u5104\u30c9\u30eb\u5897\u52a0\u3057\uff0c\u5e74\u9593\u30b3\u30b9\u30c8\u306f15\u5104\u30c9\u30eb\u524a\u6e1b\u3055\u308c\uff0c2009\u5e74\u4ee5\u964d\uff0c\u5408\u8a08254\u5104\u30c9\u30eb\u306e\u5229\u76ca\u3092\u5f97\u308b\u3068\u540c\u6642\u306b\uff0c\u30a4\u30f3\u30c6\u30eb\u306e\u6301\u7d9a\u53ef\u80fd\u6027\u3078\u306e\u53d6\u308a\u7d44\u307f\u306b\u3082\u8ca2\u732e\u3057\u3066\u3044\u307e\u3059\uff0e<\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-family: 'arial black', 'avant garde';font-size: 18px\">Deutsche Bahn Schedules Train Rotations Using Hypergraph Optimization<\/span><\/p>\n<p>\uff08\u30c9\u30a4\u30c4\u9244\u9053\u306b\u304a\u3051\u308b\u30cf\u30a4\u30d1\u30fc\u30b0\u30e9\u30d5\u6700\u9069\u5316\u3092\u7528\u3044\u305f\u5217\u8eca\u306e\u30ed\u30fc\u30c6\u30fc\u30b7\u30e7\u30f3\u8a08\u753b\u306e\u4f5c\u6210\uff09<\/p>\n<h6><span style=\"font-size: 14px\">Ralf Bornd\u00f6rfer, Thomas E\u00dfer, Patrick Frankenberger, Andreas Huck, Christoph Jobmann, Boris Krostitz, Karsten Kuchenbecker, Kai Mohrhagen, Philipp Nagl, Michael Peterson, Markus Reuther, Thilo Schang, Michael Schoch, Hanno Sch\u00fclldorf, Peter Sch\u00fctz, Tobias Therolf, Kerstin Waas, Steffen Weider\u00a0\u00a0<\/span><\/h6>\n<p>INFORMS Journal on Applied Analytics 51(1):42-62.\u3000\u3000\u3000<a href=\"https:\/\/doi.org\/10.1287\/inte.2020.1069\">https:\/\/doi.org\/10.1287\/inte.2020.1069<\/a><\/p>\n<p>\u30ad\u30fc\u30ef\u30fc\u30c9\uff1a\u4ea4\u901a\uff0c\u7dda\u8def\uff0c\u30b9\u30b1\u30b8\u30e5\u30fc\u30ea\u30f3\u30b0\uff0c\u8eca\u4e21\uff0c\u5927\u898f\u6a21\u30b7\u30b9\u30c6\u30e0\uff0c\u6574\u6570\u8a08\u753b\u6cd5\uff0c\u30b0\u30e9\u30d5\uff0c\u8d85\u30b0\u30e9\u30d5\uff0cEdelman\u8cde<\/p>\n<p>\u8981\u65e8\uff1a<\/p>\n<p>\u30c9\u30a4\u30c4\u9244\u9053 (DB) \u306f\uff0c\u5927\u898f\u6a21\u306a\u8eca\u4e21\u7fa4\uff08\u6a5f\u95a2\u8eca\uff0c\u8ca8\u8eca\uff0c\u5217\u8eca\u306e\u96c6\u5408\uff09\u3092\u904b\u7528\u3057\u3066\u304a\u308a\uff0c\u8eca\u4e21\u306e\u30ed\u30fc\u30c6\u30fc\u30b7\u30e7\u30f3\u3092\u5b9f\u73fe\u3059\u308b\u305f\u3081\u306e\u5217\u8eca\u7de8\u6210\u3092\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\uff0e\u3053\u306e\u5217\u8eca\u7de8\u6210\u306e\u904b\u7528\u8a08\u753b\u306f\uff0c\u4ed6\u306e\u7523\u696d\u306b\u826f\u304f\u73fe\u308c\u308b\u8eca\u4e21\u30b9\u30b1\u30b8\u30e5\u30fc\u30ea\u30f3\u30b0\u554f\u984c\u3068\u7570\u306a\u308b\u9244\u9053\u4e8b\u696d\u306e\u7279\u8272\u3067\u3059\uff0e\u30c9\u30a4\u30c4\u9244\u9053\u306f\u30cf\u30a4\u30d1\u30fc\u679d\u3092\u7528\u3044\u3066\u5217\u8eca\u7de8\u6210\u3092\u30e2\u30c7\u30eb\u5316\u3057\u307e\u3059\uff0e\u5f97\u3089\u308c\u305f\u30cf\u30a4\u30d1\u30fc\u30b0\u30e9\u30d5\u306e\u30e2\u30c7\u30eb\u3092\uff0c3\u3064\u306e\u8a73\u7d30\u5ea6\u306b\u6e21\u308b\u968e\u5c64\u7684\u306a\u5217\u751f\u6210\u6cd5\u3092\u5b9f\u88c5\u3057\u305f\u7c97\u5bc6\u6cd5\u306b\u3088\u308a\u5bfe\u51e6\u3057\u307e\u3059\uff0e\u3053\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\uff0c\u8eca\u4e21\u30ed\u30fc\u30c6\u30fc\u30b7\u30e7\u30f3\u8a08\u753b\u306e\u305f\u3081\u306e\u30c9\u30a4\u30c4\u9244\u9053\u306e\u8eca\u4e21\u904b\u7528\u6700\u9069\u5316(FEO)\u30b7\u30b9\u30c6\u30e0\u306e\u6570\u7406\u7684\u306a\u4e2d\u6838\u3067\u3059\uff0eFEO\u304c\u30c9\u30a4\u30c4\u9244\u9053\u306e\u8a08\u753b\u90e8\u9580\u306b\u4e0e\u3048\u305f\u5f71\u97ff\u306f\u753b\u671f\u7684\u3067\u3057\u305f\uff0e\u30c9\u30a4\u30c4\u9244\u9053\u306f\uff0c\u3053\u306e\u30b7\u30b9\u30c6\u30e0\u3092\u7528\u3044\u3066\uff0c\u6700\u65b0\u306e\u9ad8\u901f\u65c5\u5ba2\u5217\u8eca\u3084\u56fd\u5883\u3092\u8d8a\u3048\u3066\u904b\u884c\u3059\u308b\u8907\u5408\u8f38\u9001\u8ca8\u7269\u6a5f\u95a2\u8eca\u306e\u8abf\u9054\u3092\u652f\u63f4\u3057\u307e\u3057\u305f\uff0e\u5730\u57df\u8f38\u9001\u306e\u5165\u672d\u306e\u6210\u529f\u3084\u65e5\u5e38\u696d\u52d9\u306b\u304a\u3051\u308b\u5efa\u8a2d\u73fe\u5834\u306e\u7ba1\u7406\u306e\u9375\u3068\u306a\u3063\u3066\u3044\u307e\u3059\uff0e\u30c9\u30a4\u30c4\u9244\u9053\u306e\u8a08\u753b\u90e8\u9580\u306fFEO\u306e\u9ad8\u54c1\u8cea\u306a\u7d50\u679c\uff0c\u518d\u6700\u9069\u5316\u306e\u80fd\u529b\uff08\u65e9\u3055\uff09\uff0c\u4f7f\u3044\u6613\u3055\u3092\u9ad8\u304f\u8a55\u4fa1\u3057\u3066\u3044\u307e\u3059\uff0e\u5f93\u696d\u54e1\u3068\u9867\u5ba2\u3068\u3082\u306b\uff0c\u696d\u52d9\u306e\u898f\u5247\u6027\u304c\u9ad8\u307e\u3063\u305f\u3053\u3068\u306e\u6069\u6075\u3092\u53d7\u3051\u3066\u3044\u307e\u3059\uff0e\u30c9\u30a4\u30c4\u9244\u9053\u306fFEO\u306e\u5c0e\u5165\u306b\u3088\u308a\uff0c\u5e74\u95937400\u4e07\u30e6\u30fc\u30ed\u306e\u7bc0\u7d04\uff0c\u5e74\u959334000\u30c8\u30f3\u306eCO2\u6392\u51fa\u306e\u524a\u6e1b\uff0c\u56fd\u5883\u3092\u8d8a\u3048\u305f\u969b\u306e600\u56de\u306e\u9023\u7d50\u696d\u52d9\u306e\u524a\u6e1b\u304c\u306a\u3055\u308c\u305f\u3068\u8003\u3048\u3066\u3044\u307e\u3059\uff0e<\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-family: 'arial black', 'avant garde';font-size: 18px\">A Multiobjective Optimization for Clearance in Walmart Brick-and-Mortar Stores<\/span><\/p>\n<p>\uff08\u30a6\u30a9\u30eb\u30de\u30fc\u30c8\u306e\u5b9f\u5e97\u8217\u306b\u304a\u3051\u308b\u5728\u5eab\u4e00\u6383\u306b\u5bfe\u3059\u308b\u591a\u76ee\u7684\u6700\u9069\u5316\uff09<\/p>\n<h6><span style=\"font-size: 14px\">Yixian Chen, Prakhar Mehrotra, Nitin Kishore Sai Samala, Kamilia Ahmadi, Viresh Jivane, Linsey Pang, Monika ShrivastavNate Lyman, Scott Pleiman\u00a0\u00a0<\/span><\/h6>\n<p>INFORMS Journal on Applied Analytics 51(1):76-89.\u3000\u3000\u3000<a href=\"https:\/\/doi.org\/10.1287\/inte.2020.1065\">https:\/\/doi.org\/10.1287\/inte.2020.1065<\/a><\/p>\n<p>\u30ad\u30fc\u30ef\u30fc\u30c9\uff1a\u30de\u30fc\u30c1\u30e3\u30f3\u30c0\u30a4\u30b8\u30f3\u30b0\uff0c\u4fa1\u683c\u6700\u9069\u5316\uff0c\u5728\u5eab\u6700\u9069\u5316\uff0c\u6df1\u5c64\u5f37\u5316\u5b66\u7fd2\uff0cEdelman\u8cde<\/p>\n<p>\u8981\u65e8\uff1a<\/p>\n<p>\u591a\u69d8\u306a\u76ee\u7684\u5b9f\u73fe\u306e\u305f\u3081\u306b\u5024\u4e0b\u3052\u30b7\u30b9\u30c6\u30e0\u3092\u65b0\u3057\u304f\u958b\u767a\u3057\uff0c\u30a6\u30a9\u30eb\u30de\u30fc\u30c8\u3067\u306f\u591a\u304f\u306e\u5546\u54c1\u30e6\u30cb\u30c3\u30c8\u306b\u5c55\u958b\u3057\u307e\u3057\u305f\uff0e\u3053\u306e\u30b7\u30b9\u30c6\u30e0\u306e\u76ee\u7684\u306f\uff0c(1)\u6307\u5b9a\u3055\u308c\u305f\u65e5\u307e\u3067\u306b\u5e97\u8217\u306e\u4f59\u5270\u5728\u5eab\u3092\u4e00\u6383\u3059\u308b\u3053\u3068\uff0c(2)\u68da\u3092\u7a7a\u3051\u308b\u305f\u3081\u306b\u5fc5\u8981\u306a\u5024\u5f15\u304d\u3092\u6700\u5c0f\u9650\u306b\u6291\u3048\u308b\u3053\u3068\u3067\u53ce\u76ca\u3092\u6539\u5584\u3059\u308b\u3053\u3068\uff0c(3)\u5e97\u8217\u306e\u5546\u54c1\u306b\u30e9\u30d9\u30eb\u3092\u4ed8\u3051\u76f4\u3059\u305f\u3081\u306b\u767a\u751f\u3059\u308b\u591a\u984d\u306a\u30b3\u30b9\u30c8\u3092\u524a\u6e1b\u3059\u308b\u3053\u3068\u3067\u3059\uff0e\u57fa\u790e\u3068\u306a\u308b\u6570\u5b66\u7684\u30a2\u30d7\u30ed\u30fc\u30c1\u306f\uff0c\u6df1\u5c64\u5f37\u5316\u5b66\u7fd2\uff0c\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\uff0c\u6700\u9069\u5316\u306a\u3069\u306e\u624b\u6cd5\u3067\u3042\u308a\uff0c\u6700\u9069\u4fa1\u683c\uff08\u5024\u4e0b\u3052\u4fa1\u683c\uff09\u3092\u6c7a\u5b9a\u3057\u307e\u3059\uff0e2019\u5e74\u304b\u3089\uff0c6\u304b\u6708\u306b\u308f\u305f\u308b\u5927\u898f\u6a21\u30c6\u30b9\u30c8\u306e\u5f8c\uff0c\u7c73\u56fd\u306e\u3059\u3079\u3066\u306e\u30a6\u30a9\u30eb\u30de\u30fc\u30c8\u5e97\u8217\u306b\u65b0\u3057\u3044\u30a2\u30d7\u30ed\u30fc\u30c1\u3092\u5b9f\u88c5\u3057\u307e\u3057\u305f\uff0e\u305d\u306e\u7d50\u679c\uff0c\u5404\u5e97\u8217\u306b\u5408\u308f\u305b\u305f\u4fa1\u683c\u8abf\u6574\u65b9\u91dd\u3092\u6301\u3064\u9ad8\u6027\u80fd\u306e\u30e2\u30c7\u30eb\u304c\u8a95\u751f\u3057\u307e\u3057\u305f\uff0e\u30a6\u30a9\u30eb\u30de\u30fc\u30c8\u306f\u30bb\u30eb\u30b9\u30eb\u30fc\u7387 (\u5024\u4e0b\u3052\u671f\u9593\u4e2d\u306e\u8ca9\u58f2\u6570\u3092\u5024\u4e0b\u3052\u958b\u59cb\u6642\u306e\u5728\u5eab\u3067\u5272\u3063\u305f\u5024) \u309221%\u5897\u52a0\u3055\u305b\uff0c\u30b3\u30b9\u30c8\u30927%\u524a\u6e1b\u3057\u307e\u3057\u305f\uff0e\u30a6\u30a9\u30fc\u30eb\u30de\u30fc\u30c8\u306b\u3082\u305f\u3089\u3057\u305f\u6069\u6075\u3068\u3057\u3066\uff0c\u4eba\u53e3\u7d71\u8a08\u306b\u57fa\u3065\u304f\u5e97\u8217\u306e\u30d1\u30fc\u30bd\u30ca\u30e9\u30a4\u30ba\u5316\uff0c\u4fa1\u683c\u8abf\u6574\u306e\u56de\u6570\u3092\u9650\u5b9a\u3059\u308b\u3053\u3068\u3067\u30aa\u30da\u30ec\u30fc\u30b7\u30e7\u30f3\u30b3\u30b9\u30c8\u306e\u524a\u6e1b\uff0c\u5024\u4e0b\u3052\u306e\u6642\u9593\u5e2f\u3092\u52d5\u7684\u306b\u8a2d\u5b9a\u3067\u304d\u308b\u3053\u3068\u304c\u6319\u3052\u3089\u308c\u307e\u3059\uff0e<\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-family: 'arial black', 'avant garde';font-size: 18px\">Saving Time and Money and Reducing Carbon Dioxide Emissions by Efficiently Allocating Customers<\/span><\/p>\n<p>\uff08\u9867\u5ba2\u3092\u52b9\u7387\u7684\u306b\u5272\u308a\u5f53\u3066\u308b\u3053\u3068\u3067\u6642\u9593\u3068\u304a\u91d1\u3092\u7bc0\u7d04\u3057\u4e8c\u9178\u5316\u70ad\u7d20\u6392\u51fa\u91cf\u3092\u524a\u6e1b\uff09<\/p>\n<h6><span style=\"font-size: 14px\">Christian Haket, Bo van der Rhee, Jacques de Swart\u00a0\u00a0<\/span><\/h6>\n<p>INFORMS Journal on Applied Analytics 50(3):153-165.\u3000\u3000\u3000<a href=\"https:\/\/doi.org\/10.1287\/inte.2020.1028\">https:\/\/doi.org\/10.1287\/inte.2020.1028<\/a><\/p>\n<p>\u30ad\u30fc\u30ef\u30fc\u30c9\uff1a\u30d2\u30e5\u30fc\u30ea\u30b9\u30c6\u30a3\u30af\u30b9\uff0c\u5272\u5f53\u554f\u984c\uff0c\u518d\u5272\u5f53\u30b3\u30b9\u30c8<\/p>\n<p>\u8981\u65e8\uff1a<\/p>\n<p>\u591a\u304f\u306e\u7523\u696d\u3067\uff0c\u30de\u30eb\u30c1\u30d5\u30a1\u30b7\u30ea\u30c6\u30a3\u30b5\u30fc\u30d3\u30b9\u30d7\u30ed\u30d0\u30a4\u30c0\u30fc\u306f\uff0c\u9867\u5ba2\u3092\u3088\u308a\u52b9\u7387\u7684\u306b\u65bd\u8a2d\u306b\u5272\u308a\u5f53\u3066\u308b\u3053\u3068\u3067\uff0c\u6642\u9593\u3068\u30b3\u30b9\u30c8\u3092\u7bc0\u7d04\u3057\uff0c\u4e8c\u9178\u5316\u70ad\u7d20(CO2)\u6392\u51fa\u91cf\u3092\u524a\u6e1b\u3067\u304d\u307e\u3059\uff0e\u3057\u304b\u3057\uff0c\u4f01\u696d\u306f\u9867\u5ba2\u3092\u5225\u306e\u65bd\u8a2d\u306b\u518d\u5272\u5f53\u3059\u308b\u3068\u304d\u306b\u518d\u5272\u5f53\u30b3\u30b9\u30c8\u3092\u8ca0\u62c5\u3057\u307e\u3059\uff0e\u3053\u308c\u306f\uff0c\u5148\u884c\u7814\u7a76\u3067\u306f\u3042\u307e\u308a\u6ce8\u76ee\u3055\u308c\u3066\u3044\u307e\u305b\u3093\uff0eCPLEX\u306a\u3069\u306e\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u30fb\u30d1\u30c3\u30b1\u30fc\u30b8\u306f\uff0c\u3053\u306e\u7a2e\u306e\u554f\u984c\u306b\u5bfe\u3057\u6700\u9069\u89e3\u3092\u6c42\u3081\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u304c\uff0c\u7ba1\u7406\u8005\u306f\u5c02\u9580\u7684\u306a\u77e5\u8b58\u304c\u4e0d\u8db3\u3057\u3066\u3044\u305f\u308a\uff0c\u30b3\u30b9\u30c8\u3092\u904e\u5927\u8a55\u4fa1\u3057\u305f\u308a\uff0c\u5229\u76ca\u3092\u904e\u5c0f\u8a55\u4fa1\u3057\u305f\u308a\u3059\u308b\u305f\u3081\uff0c\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u306f\u307e\u308c\u3067\u3059\uff0e\u518d\u5272\u5f53\u30b3\u30b9\u30c8\u3092\u542b\u3081\u305f\u4e00\u822c\u7684\u306a\u30d2\u30e5\u30fc\u30ea\u30b9\u30c6\u30a3\u30c3\u30af\u30e2\u30c7\u30eb\u3092Excel VBA\u3067\u4f5c\u308a\uff0c\u305d\u306e\u7d50\u679c\u3092CPLEX\u306b\u3088\u308b\u6700\u9069\u89e3\u3068\u6bd4\u8f03\u3057\u307e\u3057\u305f\uff0e\u30aa\u30e9\u30f3\u30c0\u306e\u5927\u624b\u30b5\u30fc\u30d3\u30b9\u30d7\u30ed\u30d0\u30a4\u30c0\u30fc\u3067\u3042\u308bVan Dorp\u3068\u306e\u5171\u540c\u7814\u7a76\u306e\u7d50\u679c\uff0c(1)\u5927\u5e45\u306a\u30b3\u30b9\u30c8\u524a\u6e1b\u304c\u53ef\u80fd\u3067\u3042\u308b\u3053\u3068\uff0c(2)\u518d\u5272\u5f53\u30b3\u30b9\u30c8\u304c\u5927\u304d\u306a\u5f79\u5272\u3092\u679c\u305f\u3059\u3053\u3068\uff0c(3)\u30d2\u30e5\u30fc\u30ea\u30b9\u30c6\u30a3\u30c3\u30af\u306b\u3088\u308b\u89e3\u304c\u307b\u307c\u6700\u9069\u89e3\u3068\u306a\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3057\u305f\uff0e\u5177\u4f53\u7684\u306b\u306f\uff0cVan Dorp\u306e\u300c\u6700\u60aa\u306e\u5272\u308a\u5f53\u3066\u300d\u3067\u3042\u308b\u9867\u5ba220\u793e\u3092\u518d\u5272\u5f53\u3059\u308b\u3053\u3068\u3067\uff0c4,000\u6642\u9593\u4ee5\u4e0a\u306e\u904b\u8ee2\u6642\u9593\u306836\u4e07\u30e6\u30fc\u30ed\u306e\u30b3\u30b9\u30c8\u306e\u7bc0\u7d04\uff0c\u304a\u3088\u307341\u30c8\u30f3\u306eCO2\u6392\u51fa\u91cf\u306e\u524a\u6e1b\u304c\u5b9f\u73fe\u3057\u307e\u3059\uff0e<\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-family: 'arial black', 'avant garde';font-size: 18px\">Analytics and Optimization Reduce Sewage Overflows to Protect Community Waterways in Kentucky<\/span><\/p>\n<p>\uff08\u30a2\u30e1\u30ea\u30ab\u30fb\u30b1\u30f3\u30bf\u30c3\u30ad\u30fc\u5dde\u306b\u304a\u3051\u308b\u4e0b\u6c34\u9053\u8a2d\u5099\u306e\u7dad\u6301\u7ba1\u7406\u306e\u305f\u3081\u306e\u30aa\u30da\u30ec\u30fc\u30b7\u30e7\u30f3\u30ba\u30fb\u30ea\u30b5\u30fc\u30c1\u3068\u6700\u9069\u5316\u3092\u7528\u3044\u305f\u8d8a\u6d41\u6c34\u524a\u6e1b\uff09<\/p>\n<h6><span style=\"font-size: 14px\">Diana Qing Tao, Martin Pleau, Angela Akridge, Olivier Fradet, Fran\u00e7ois Grondin, Stephanie Laughlin, Wolffie Miller, Leslie Shoemaker\u00a0\u00a0<\/span><\/h6>\n<p>INFORMS Journal on Applied Analytics 50(1):7-20.\u3000\u3000\u3000<a href=\"https:\/\/doi.org\/10.1287\/inte.2019.1022\">https:\/\/doi.org\/10.1287\/inte.2019.1022<\/a><\/p>\n<p>\u30ad\u30fc\u30ef\u30fc\u30c9\uff1a\u30aa\u30da\u30ec\u30fc\u30b7\u30e7\u30f3\u30ba\u30fb\u30ea\u30b5\u30fc\u30c1\uff0c\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u5236\u5fa1\uff0c\u4e0b\u6c34\uff0c \u96e8\u6c34\uff0c \u30e2\u30c7\u30eb\u4e88\u6e2c\u5236\u5fa1\uff0c\u6700\u9069\u5316\uff0c\u96e8\u5929<\/p>\n<p>\u8981\u65e8\uff1a<\/p>\n<p>\u30a2\u30e1\u30ea\u30ab\u30fb\u30b1\u30f3\u30bf\u30c3\u30ad\u30fc\u5dde\u306e\u30eb\u30a4\u30d3\u30eb\u30fb\u30b8\u30a7\u30d5\u30a1\u30fc\u30bd\u30f3\u90e1\u90fd\u5e02\u4e0b\u6c34\u9053\u5c40 (\u30eb\u30a4\u30d3\u30ebMSD) \u306f\uff0c\u30aa\u30da\u30ec\u30fc\u30b7\u30e7\u30f3\u30ba\u30fb\u30ea\u30b5\u30fc\u30c1\uff0c\u5148\u7aef\u7684\u306a\u30c7\u30fc\u30bf\u89e3\u6790\uff0c\u9769\u65b0\u7684\u6280\u8853\u3092\u7528\u3044\u3066\u4e0b\u6c34\u306e\u96c6\u6c34\uff0c\u6392\u6c34\uff0c\u51e6\u7406\u3092\u6700\u9069\u5316\u3059\u308b\u3053\u3068\u3067\uff0c\u3053\u306e\u5730\u57df\u306b\u304a\u3051\u308b\u4e0b\u6c34\u9053\u8a2d\u5099\u3092\u7dad\u6301\u7ba1\u7406\u3057\u3066\u3044\u307e\u3059. \u4e0b\u6c34\u9053\u306e\u5bb9\u91cf\u3092\u8d85\u3048\u308b\u964d\u96e8\u306e\u969b\u306b\u306f\uff0c\u90fd\u5e02\u90e8\u3067\u4e0b\u6c34\u304c\u9006\u6d41\u3057\u305f\u308a\uff0c\u4e0b\u6c34\u306e\u51e6\u7406\u304c\u4e0d\u5341\u5206\u306a\u307e\u307e\u8d8a\u6d41\u6c34\u3068\u3057\u3066\u6cb3\u5ddd\u7b49\u306b\u6d41\u308c\u51fa\u305f\u308a\uff0c\u5c40\u6240\u7684\u306a\u6d2a\u6c34\u304c\u767a\u751f\u3057\u305f\u308a\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059. \u30eb\u30a4\u30d3\u30eb MSD \u306f\u4e0b\u6c34\u9053\u8d8a\u6d41\u6c34\u306e\u524a\u6e1b\u3084\u516c\u8846\u885b\u751f\u3068\u74b0\u5883\u306e\u4fdd\u8b77\u3068\u3044\u3046\u591a\u304f\u306e\u8ab2\u984c\u306b\u5bfe\u51e6\u3059\u308b\u305f\u3081\u306b\uff0c\u8ca1\u653f\u7684\u306a\u5236\u7d04\u3092\u8003\u616e\u3057\u3064\u3064\uff0c\u4e0b\u6c34\u9053\u8a2d\u5099\u3092\u6700\u9069\u306b\u8a2d\u8a08\u30fb\u904b\u7528\u3059\u308b\u9769\u65b0\u7684\u306a\u65b9\u6cd5\u3092\u6c42\u3081\u3066\u3044\u307e\u3057\u305f\uff0e \u305d\u3057\u3066\uff0c\u30c6\u30c8\u30e9\u30c6\u30c3\u30af\u793e\u3068\u306e\u63d0\u643a\u306b\u3088\u308a\uff0cCsoft \u3092\u4f7f\u7528\u3057\u305f\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u5236\u5fa1\u30b7\u30b9\u30c6\u30e0\u3092\u5c0e\u5165\u3057\u307e\u3057\u305f. \u3053\u306e\u30b7\u30b9\u30c6\u30e0\u306f\u4e0b\u6c34\u9053\u76e3\u8996\u30c7\u30fc\u30bf\u3068\u5929\u6c17\u4e88\u5831\u3092\u89e3\u6790\u3057\uff0c\u6392\u6c34\u7d4c\u8def\u306e\u6700\u9069\u5316\uff0c\u8caf\u6c34\u6c60\u7b49\u306e\u8abf\u6574\u65bd\u8a2d\u306b\u304a\u3051\u308b\u8caf\u6c34\u30fb\u6392\u6c34\u8a08\u753b\u306e\u6700\u9069\u5316\uff0c\u51e6\u7406\u65bd\u8a2d\u306e\u6700\u5927\u6d3b\u7528\u306a\u3069\uff0c\u30b7\u30b9\u30c6\u30e0\u5168\u4f53\u306e\u6700\u9069\u5316\u3092\u884c\u306a\u3044\u307e\u3059. \u3053\u306e\u30b7\u30b9\u30c6\u30e0\u3092\u5c0e\u5165\u3057\u305f\u3053\u3068\u306b\u3088\u308a\uff0c\u964d\u96e8\u6642\u306e\u4e0b\u6c34\u9053\u306e\u8d8a\u6d41\u6c34\u91cf\u304c\u6e1b\u5c11\u3057\uff0c\u8abf\u6574\u65bd\u8a2d\u306e\u898f\u6a21\u3092\u7e2e\u5c0f\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3057\u305f. \u305d\u306e\u7d50\u679c\uff0c\u3053\u306e\u5730\u57df\u306b\u304a\u3044\u30662\u5104\u30c9\u30eb\u4ee5\u4e0a\u306e\u30b3\u30b9\u30c8\u524a\u6e1b\u306b\u6210\u529f\u3057\uff0c\u904b\u7528\u52b9\u7387\u306e\u5411\u4e0a\u306b\u3082\u3064\u306a\u304c\u308a\u307e\u3057\u305f. 2006 \u5e74\u304b\u3089\u904b\u7528\u3055\u308c\u3066\u3044\u308b\u3053\u306e\u30b7\u30b9\u30c6\u30e0\u306f\uff0c\u30eb\u30a4\u30d3\u30ebMSD\u306e\u9577\u671f\u8d8a\u6d41\u6c34\u524a\u6e1b\u8a08\u753b\u306b\u5f93\u3063\u3066\u6bb5\u968e\u7684\u306b\u5c0e\u5165\u3055\u308c\uff0c\u3001\u30b7\u30b9\u30c6\u30e0\u5bb9\u91cf\u306e\u6539\u5584\u3092\u5897\u52a0\u304c\u56f3\u3089\u308c\u3066\u3044\u307e\u3059. \u73fe\u5728\uff0c\u3053\u306e\u30b7\u30b9\u30c6\u30e0\u306f\u4f8b\u5e7420\u5104\u30ac\u30ed\u30f3\u4ee5\u4e0a\u306e\u8d8a\u6d41\u6c34\u3092\u524a\u6e1b\u3057\u3066\u3044\u307e\u3059.<\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-family: 'arial black', 'avant garde';font-size: 18px\">Collaborative Human\u2013UAV Search and Rescue for Missing Tourists in Nature Reserves<\/span><\/p>\n<p>\uff08\u81ea\u7136\u4fdd\u8b77\u533a\u306b\u304a\u3051\u308b\u884c\u65b9\u4e0d\u660e\u306e\u89b3\u5149\u5ba2\u306b\u5bfe\u3059\u308b\u4eba\u9593\u3068 UAV \u306b\u3088\u308b\u5354\u8abf\u7684\u306a\u635c\u7d22\u3068\u6551\u52a9\uff09<\/p>\n<h6><span style=\"font-size: 14px\">Yu-Jun Zheng, Yi-Chen Du, Wei-Guo Sheng, Hai-Feng Ling\u00a0\u00a0<\/span><\/h6>\n<p>INFORMS Journal on Applied Analytics 49(5):371-383.\u3000\u3000\u3000<a href=\"https:\/\/doi.org\/10.1287\/inte.2019.1000\">https:\/\/doi.org\/10.1287\/inte.2019.1000<\/a><\/p>\n<p>\u30ad\u30fc\u30ef\u30fc\u30c9\uff1a\u7121\u4eba\u822a\u7a7a\u6a5f (UAV)\uff0c\u635c\u7d22\u30fb\u6551\u52a9\uff0c\u5354\u8abf\u7684\u635c\u7d22\uff0c\u9032\u5316\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0<\/p>\n<p>\u8981\u65e8\uff1a<\/p>\n<p>\u8907\u96d1\u306a\u5730\u5f62\u3067\u306e\u635c\u7d22\u30fb\u6551\u52a9\u4f5c\u696d\u306b\u304a\u3044\u3066\u7121\u4eba\u822a\u7a7a\u6a5f (UAV) \u304c\u7528\u3044\u3089\u308c\u308b\u3088\u3046\u306b\u306a\u3063\u3066\u304d\u307e\u3057\u305f. UAV \u3092\u7528\u3044\u305f\u635c\u7d22\u306b\u95a2\u3059\u308b\u591a\u304f\u306e\u5148\u884c\u7814\u7a76\u3067\u306f\uff0c\u635c\u7d22\u6642\u9593\u306e\u6700\u5c0f\u5316\u3084\u767a\u898b\u78ba\u7387\u306e\u6700\u5927\u5316\u304c\u76ee\u7684\u3068\u3055\u308c\u3066\u3044\u307e\u3057\u305f. \u635c\u7d22\u8005\u304c\u76ee\u6a19\u3092\u767a\u898b\u3057\u306a\u3051\u308c\u3070\u306a\u3089\u306a\u3044\u591a\u304f\u306e\u5834\u9762\u3067\u306f\u4eba\u9593\u3068UAV\u306e\u5354\u8abf\u7684\u306a\u635c\u7d22\u304c\u5fc5\u8981\u3068\u3055\u308c\u307e\u3059\u304c\uff0c\u305d\u306e\u3088\u3046\u306a\u5354\u8abf\u7684\u306a\u635c\u7d22\u306b\u95a2\u3059\u308b\u7814\u7a76\u306f\u3042\u307e\u308a\u306a\u3055\u308c\u3066\u3044\u307e\u305b\u3093\u3067\u3057\u305f. \u672c\u8ad6\u6587\u3067\u306f\uff0c\u635c\u7d22\u8005\u304c\u76ee\u6a19\u306b\u5230\u9054\u3059\u308b\u307e\u3067\u306b\u304b\u304b\u308b\u6642\u9593\u306e\u671f\u5f85\u5024\u306e\u6700\u5c0f\u5316\u3092\u76ee\u7684\u3068\u3059\u308b\u4eba\u9593\u3068 UAV \u306e\u5354\u8abf\u7684\u306a\u635c\u7d22\u8a08\u753b\u554f\u984c\u3092\u63d0\u6848\u3057\u307e\u3059. \u3053\u306e\u554f\u984c\u306f\u975e\u5e38\u306b\u8907\u96d1\u306a\u305f\u3081\uff0c\u5f93\u6765\u306e\u53b3\u5bc6\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3067\u89e3\u3053\u3046\u3068\u3059\u308b\u3068\u975e\u5e38\u306b\u6642\u9593\u304c\u304b\u304b\u308a\uff0c\u6bd4\u8f03\u7684\u5c0f\u3055\u306a\u554f\u984c\u4f8b\u3067\u3059\u3089\u5b9f\u7528\u7684\u306a\u6642\u9593\u3067\u89e3\u304f\u3053\u3068\u304c\u3067\u304d\u307e\u305b\u3093. \u672c\u8ad6\u6587\u3067\u306f\uff0c\u751f\u7269\u5730\u7406\u5b66\u306b\u7740\u60f3\u3092\u5f97\u305f\u64cd\u4f5c\u3092\u7528\u3044\u3066\u89e3\u96c6\u56e3\u3092\u8a31\u5bb9\u6642\u9593\u5185\u306b\u6700\u9069 (\u306b\u8fd1\u3044) \u89e3\u307e\u3067\u52b9\u7387\u3088\u304f\u9032\u5316\u3055\u305b\u308b\u9032\u5316\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u63d0\u6848\u3057\u307e\u3059. \u307e\u305f\uff0c\u3044\u304f\u3064\u304b\u306e\u3088\u304f\u77e5\u3089\u308c\u305f\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3068\u6bd4\u8f03\u3059\u308b\u8a08\u7b97\u6a5f\u5b9f\u9a13\u306b\u3088\u308a\uff0c\u672c\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u512a\u4f4d\u6027\u3092\u793a\u3057\u307e\u3059. \u63d0\u6848\u624b\u6cd5\u306f\uff0c\u4e2d\u56fd\u306e\u81ea\u7136\u4fdd\u8b77\u533a\u3067\u884c\u65b9\u4e0d\u660e\u306e\u89b3\u5149\u5ba2\u3092\u898b\u3064\u3051\u308b\u305f\u3081\u306e 2 \u56de\u306e\u635c\u7d22\u6551\u52a9\u6d3b\u52d5\u306b\u5b9f\u969b\u306b\u9069\u7528\u3055\u308c\uff0c\u6210\u529f\u3092\u53ce\u3081\u307e\u3057\u305f. \u63d0\u6848\u624b\u6cd5\u306f\uff0c\u5f93\u6765\u306e\u6551\u52a9\u968a\u306e\u624b\u6cd5\u3068\u6bd4\u8f03\u3057\u3066\uff0c\u76ee\u6a19\u5230\u9054\u307e\u3067\u306e\u6642\u9593\u3092\u305d\u308c\u305e\u308c\u7d0479\u5206\uff0c\u7d04147\u5206\u77ed\u7e2e\u3057\uff0c\u4eba\u547d\u306b\u95a2\u308f\u308b\u696d\u52d9\u306b\u5927\u304d\u306a\u6539\u5584\u3092\u3082\u305f\u3089\u3057\u307e\u3057\u305f.<\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-family: 'arial black', 'avant garde';font-size: 18px\">Operations Research Enables Auction to Repurpose Television Spectrum for Next-Generation Wireless Technologies<\/span><\/p>\n<p>\uff08\u30aa\u30da\u30ec\u30fc\u30b7\u30e7\u30f3\u30ba\u30fb\u30ea\u30b5\u30fc\u30c1\u306b\u3088\u308a\u30aa\u30fc\u30af\u30b7\u30e7\u30f3\u3067\u30c6\u30ec\u30d3\u306e\u30b9\u30da\u30af\u30c8\u30eb\u3092\u6b21\u4e16\u4ee3\u30ef\u30a4\u30e4\u30ec\u30b9\u30c6\u30af\u30ce\u30ed\u30b8\u30fc\u306b\u518d\u5229\u7528\u3059\u308b\u3053\u3068\u3092\u53ef\u80fd\u306b\uff09<\/p>\n<h6><span style=\"font-size: 14px\">Jean L. Kiddoo, Evan Kwerel, Sasha Javid, Melissa Dunford, Gary M. Epstein, Charles E. Meisch,Jr., Karla L. Hoffman, Brian B. Smith, Anthony B. Coudert, Rudy K. Sultana, James A. Costa, Steven Charbonneau, Michael Trick, Ilya Segal, Kevin Leyton-Brown, Neil Newman, Alexandre Fr\u00e9chette, Dinesh Menon, Paul Salasznyk\u00a0 \u00a0<\/span><\/h6>\n<p>INFORMS Journal on Applied Analytics 49(1):7-22.\u3000\u3000\u3000<a href=\"https:\/\/doi.org\/10.1287\/inte.2018.0972\">https:\/\/doi.org\/10.1287\/inte.2018.0972<\/a><\/p>\n<p>\u30ad\u30fc\u30ef\u30fc\u30c9\uff1a\u5468\u6ce2\u6570\uff0c\u5468\u6ce2\u6570\u30aa\u30fc\u30af\u30b7\u30e7\u30f3\uff0c\u9006\u30aa\u30fc\u30af\u30b7\u30e7\u30f3\uff0c\u30a4\u30f3\u30bb\u30f3\u30c6\u30a3\u30d6\u30aa\u30fc\u30af\u30b7\u30e7\u30f3\uff0c\u6700\u9069\u5316\uff0c\u5145\u8db3\u53ef\u80fd\u6027\u30bd\u30eb\u30d0\u30fc<\/p>\n<p>&nbsp;<\/p>\n<p>\u8981\u65e8\uff1a<\/p>\n<p>2017\u5e74\uff0c\u7c73\u56fd\u9023\u90a6\u901a\u4fe1\u59d4\u54e1\u4f1a\u306f\uff0c\u30e2\u30d0\u30a4\u30eb\u30d6\u30ed\u30fc\u30c9\u30d0\u30f3\u30c9\u30845G\u306a\u3069\u306e\u30ef\u30a4\u30e4\u30ec\u30b9\u30b5\u30fc\u30d3\u30b9\u306b\u5bfe\u3057\u3066\u62e1\u5927\u3057\u3066\u3044\u308b\u9700\u8981\u3092\u6e80\u305f\u3059\u305f\u3081\u306b\uff0c\u30c6\u30ec\u30d3\u5c40\u304b\u3089\u7121\u7dda\u5468\u6ce2\u6570\u5e2f\u3092\u56de\u53ce\u3057\uff0c\u4e16\u754c\u521d\u306e\u4e21\u9762\u5468\u6ce2\u6570\u30aa\u30fc\u30af\u30b7\u30e7\u30f3\u3092\u5b9f\u65bd\u3057\u307e\u3057\u305f\uff0e\u30aa\u30fc\u30af\u30b7\u30e7\u30f3\u306e\u8a2d\u8a08\u3068\u5b9f\u65bd\u306b\u306f\uff0c\u6700\u9069\u5316\u30e2\u30c7\u30eb\uff0c\u5206\u89e3\uff0c\u30ab\u30c3\u30c8\uff0c\u30d2\u30e5\u30fc\u30ea\u30b9\u30c6\u30a3\u30af\u30b9\uff0c\u5927\u898f\u6a21\u8fd1\u508d\u691c\u7d22\uff0c\u6a5f\u68b0\u5b66\u7fd2\u306b\u3088\u3063\u3066\u30d1\u30e9\u30e1\u30fc\u30bf\u304c\u6c7a\u5b9a\u3055\u308c\u308b\u5145\u8db3\u53ef\u80fd\u6027\u554f\u984c\u30bd\u30eb\u30d0\u30fc\u306e\u30dd\u30fc\u30c8\u30d5\u30a9\u30ea\u30aa\u306a\u3069\uff0c\u30ab\u30b9\u30bf\u30de\u30a4\u30ba\u3055\u308c\u305f\u4e00\u9023\u306e\u30aa\u30da\u30ec\u30fc\u30b7\u30e7\u30f3\u30ba\u30fb\u30ea\u30b5\u30fc\u30c1\u306e\u6d3b\u7528\u304c\u4e0d\u53ef\u6b20\u3067\u3057\u305f\uff0e\u3053\u306e\u30aa\u30fc\u30af\u30b7\u30e7\u30f3\u3067\u306f\uff0c84\u30e1\u30ac\u30d8\u30eb\u30c4\u306e\u5468\u6ce2\u6570\u304c\u518d\u5229\u7528\u3055\u308c\uff0c\u7d04200\u5104\u30c9\u30eb\u306e\u7dcf\u53ce\u5165\u3092\u751f\u307f\u51fa\u3057\u307e\u3057\u305f\uff0e\u307e\u305f\uff0c\u30c6\u30ec\u30d3\u653e\u9001\u696d\u754c\u306b100\u5104\u30c9\u30eb\u4ee5\u4e0a\u306e\u8cc7\u91d1\u3092\u63d0\u4f9b\u3057\uff0c\u9023\u90a6\u8d64\u5b57\u524a\u6e1b\u306b70\u5104\u30c9\u30eb\u4ee5\u4e0a\u306e\u8cc7\u91d1\u3092\u63d0\u4f9b\u3057\u307e\u3057\u305f\uff0e<\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-family: 'arial black', 'avant garde';font-size: 18px\">American Red Cross Uses Analytics-Based Methods to Improve Blood-Collection Operations<\/span><\/p>\n<p>\uff08\u7c73\u56fd\u8d64\u5341\u5b57\u793e\uff0c\u5206\u6790\u30d9\u30fc\u30b9\u306b\u57fa\u3065\u304f\u624b\u6cd5\u3067\u63a1\u8840\u696d\u52d9\u3092\u6539\u5584\uff09<\/p>\n<h6><span style=\"font-size: 14px\">Turgay Ayer, Can Zhang, Chenxi Zeng, Chelsea C. White III, V. Roshan Joseph, Mary Deck, Kevin Lee, Diana Moroney, Zeynep Ozkaynak\u00a0 \u00a0<\/span><\/h6>\n<p>Interfaces 48(1):24-34.\u3000\u3000\u3000<a href=\"https:\/\/doi.org\/10.1287\/inte.2017.0925\">https:\/\/doi.org\/10.1287\/inte.2017.0925<\/a><\/p>\n<p>\u30ad\u30fc\u30ef\u30fc\u30c9\uff1a\u7c73\u56fd\u8d64\u5341\u5b57\uff0c\u63a1\u8840\uff0c\u5b9f\u8df5\u7684\u7814\u7a76\uff0c\u5206\u6790<\/p>\n<p>\u8981\u65e8\uff1a<\/p>\n<p>\u672c\u7814\u7a76\u3067\u306f\uff0c\u7c73\u56fd\u306b36\u5730\u57df\u5b58\u5728\u3059\u308b\u8d64\u5341\u5b57\u306e\u3046\u3061\uff0c\u7c73\u56fd\u5357\u90e8\u306e120\u4ee5\u4e0a\u306e\u75c5\u9662\u306b\u30b5\u30fc\u30d3\u30b9\u3092\u63d0\u4f9b\u3057\u3066\u3044\u308b\u7c73\u56fd\u8d64\u5341\u5b57\u5357\u90e8\u5730\u533a\u306b\u304a\u3051\u308b\u5730\u57df\u30ec\u30d9\u30eb\u306e\u51cd\u7d50\u6c88\u6bbf\u7269\uff08\u30af\u30e9\u30a4\u30aa\uff09\u63a1\u8840\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306b\u3064\u3044\u3066\u8ff0\u3079\u307e\u3059\uff0e\u30af\u30e9\u30a4\u30aa\u306e\u88fd\u9020\u306b\u306f\uff0c\u63a1\u53d6\u3057\u305f\u5168\u8840\u3092\u63a1\u53d6\u5f8c8\u6642\u9593\u4ee5\u5185\u306b\u51e6\u7406\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\u305f\u3081\uff0c\u30af\u30e9\u30a4\u30aa\u30e6\u30cb\u30c3\u30c8\u306e\u63a1\u8840\u7ba1\u7406\u306f\u975e\u5e38\u306b\u56f0\u96e3\u3067\u3059\uff0e\u4ed6\u306e\u8840\u6db2\u88fd\u5264\u3067\u306f\u3053\u306e\u6642\u9593\u5236\u7d04\u306f\u5c11\u306a\u304f\u3068\u308224\u6642\u9593\u3067\u3059\uff0e\u3053\u306e\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u3067\u306f\uff0c\u7c73\u56fd\u8d64\u5341\u5b57\u5357\u90e8\u5730\u533a\u304c\u30af\u30e9\u30a4\u30aa\u88fd\u9020\u306e\u305f\u3081\u306b\u3044\u3064\uff0c\u3069\u306e\u79fb\u52d5\u5f0f\u63a1\u8840\u5834\u304b\u3089\u5168\u8840\u3092\u63a1\u53d6\u3059\u3079\u304d\u304b\u3092\u52d5\u7684\u306b\u6c7a\u5b9a\u3057\uff0c\u6bce\u9031\u306e\u63a1\u53d6\u76ee\u6a19\u3092\u9054\u6210\u3057\uff0c\u63a1\u8840\u30b3\u30b9\u30c8\u3092\u6700\u5c0f\u5316\u3059\u308b\u3053\u3068\u306b\u7126\u70b9\u3092\u5f53\u3066\u307e\u3057\u305f\uff0e\u3053\u306e\u554f\u984c\u3092\u89e3\u6c7a\u3059\u308b\u305f\u3081\u306b\uff0c\u540c\u3058\u63a1\u8840\u5834\u3067\u7570\u306a\u308b\u30bf\u30a4\u30d7\u306e\u63a1\u53d6\u3092\u53ef\u80fd\u306b\u3059\u308b\u65b0\u3057\u3044\u63a1\u8840\u30e2\u30c7\u30eb\u3092\u958b\u767a\u3057\uff0c\u6700\u9069\u306b\u8fd1\u3044\u5f62\u3067\u554f\u984c\u3092\u89e3\u6c7a\u3059\u308b\u52d5\u7684\u8a08\u753b\u6cd5\u3092\u958b\u767a\u3057\u307e\u3057\u305f\uff0e\u52d5\u7684\u8a08\u753b\u6cd5\u306e\u7d50\u679c\u3092\u5206\u6790\u3059\u308b\u3053\u3068\u3067\uff0c\u8caa\u6b32\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306b\u3088\u308b\u30d2\u30e5\u30fc\u30ea\u30b9\u30c6\u30a3\u30c3\u30af\u3092\u4f5c\u6210\u3057\uff0c\u63a1\u8840\u5834\u306e\u9078\u5b9a\u3092\u30b7\u30b9\u30c6\u30e0\u5316\u3059\u308b\u305f\u3081\u306e\u610f\u601d\u6c7a\u5b9a\u652f\u63f4\u30c4\u30fc\u30eb\uff08DST\uff09\u306b\u5b9f\u88c5\u3057\u307e\u3057\u305f\uff0e\u5357\u90e8\u5730\u533a\u3067DST\u3092\u5c0e\u5165\u3057\u305f\u7d50\u679c\uff0c\u63a1\u53d6\u5f8c8\u6642\u9593\u4ee5\u5185\u306b\u88fd\u9020\u65bd\u8a2d\u306b\u9001\u308a\u8fd4\u3057\uff0c\u51e6\u7406\u3067\u304d\u308b\u5168\u8840\u30e6\u30cb\u30c3\u30c8\u306e\u6570\u304c\u5897\u52a0\u3057\u307e\u3057\u305f\uff0e\u3053\u306e\u65bd\u8a2d\u3067\u306f\uff0c2016\u5e74\u7b2c4\u56db\u534a\u671f\u306b\u304a\u3044\u3066\u82e5\u5e72\u4f4e\u3044\u63a1\u8840\u30b3\u30b9\u30c8\u30671\u30ab\u6708\u3042\u305f\u308a\u7d041,000\u30e6\u30cb\u30c3\u30c8\uff0820\uff05\u5897\uff09\u306e\u30af\u30e9\u30a4\u30aa\u3092\u51e6\u7406\u3057\uff0c\u30af\u30e9\u30a4\u30aa\u306e1\u30e6\u30cb\u30c3\u30c8\u3042\u305f\u308a\u306e\u63a1\u8840\u30b3\u30b9\u30c8\u3092\u7d0440\uff05\u524a\u6e1b\u3059\u308b\u3053\u3068\u306b\u6210\u529f\u3057\u307e\u3057\u305f\uff0e\u5357\u90e8\u5730\u533a\u3067\u306e\u5c0e\u5165\u306e\u6210\u529f\u306b\u57fa\u3065\u304d\uff0c\u7c73\u56fd\u8d64\u5341\u5b57\u793e\u306f\u30bb\u30f3\u30c8\u30eb\u30a4\u30b9\u306e\u65bd\u8a2d\u3067\u3082DST\u3092\u5c0e\u5165\u3057\uff0c\u4ed6\u306e10\u306e\u30af\u30e9\u30a4\u30aa\u88fd\u9020\u65bd\u8a2d\u3067\u3082\u5c0e\u5165\u3059\u308b\u4e88\u5b9a\u3067\u3059\uff0e<\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-family: 'arial black', 'avant garde';font-size: 18px\">The New York City Off-Hour Delivery Program: A Business and Community-Friendly Sustainability Program<\/span><\/p>\n<p>\uff08\u30cb\u30e5\u30fc\u30e8\u30fc\u30af\u5e02\u6642\u9593\u5916\u914d\u9001\u30d7\u30ed\u30b0\u30e9\u30e0\uff1a\u30d3\u30b8\u30cd\u30b9\u3068\u30b3\u30df\u30e5\u30cb\u30c6\u30a3\u306e\u305f\u3081\u306e\u6301\u7d9a\u53ef\u80fd\u6027\u30d7\u30ed\u30b0\u30e9\u30e0\uff09<\/p>\n<h6><span style=\"font-size: 14px\">Jos\u00e9 Holgu\u00edn-Veras, Stacey Hodge, Jeffrey Wojtowicz, Caesar Singh, Cara Wang, Miguel Jaller, Felipe Aros-Vera, Kaan Ozbay, Andrew Weeks, Michael Replogle, Charles Ukegbu, Jeff Ban, Matthew Brom, Shama Campbell, Ivan Sanchez-D\u00edaz, Carlos Gonz\u00e1lez-Calder\u00f3n, Alain Kornhauser, Mark Simon, Susan McSherry, Asheque Rahman, Trilce Encarnaci\u00f3n, Xia Yang, Diana Ram\u00edrez-R\u00edos, Lokesh Kalahasthi, Johanna Amaya, Michael Silas, Brandon Allen, Brenda Cruz\u00a0 \u00a0<\/span><\/h6>\n<p>Interfaces 48(1):70-86.\u3000\u3000\u3000<a href=\"https:\/\/doi.org\/10.1287\/inte.2017.0929\">https:\/\/doi.org\/10.1287\/inte.2017.0929<\/a><\/p>\n<p>\u30ad\u30fc\u30ef\u30fc\u30c9\uff1a\u6642\u9593\u5916\u914d\u9001\uff0c\u30aa\u30d5\u30d4\u30fc\u30af\u914d\u9001\uff0c\u8f38\u9001\u9700\u8981\u7ba1\u7406\uff0c\u90fd\u5e02\u8f38\u9001\uff0c\u8f38\u9001\u6392\u30ac\u30b9\u91cf\uff0c\u8f38\u9001\u6301\u7d9a\u53ef\u80fd\u6027<\/p>\n<p>\u8981\u65e8\uff1a<\/p>\n<p>\u30cb\u30e5\u30fc\u30e8\u30fc\u30af\u5e02\u6642\u9593\u5916\u914d\u9001\uff08NYC OHD\uff09\u30d7\u30ed\u30b0\u30e9\u30e0\u306f\uff0c\u4e3b\u8981\u306a\u6c11\u9593\u30b0\u30eb\u30fc\u30d7\u3084\u4f01\u696d\u304b\u3089\u306a\u308b\u7523\u696d\u90e8\u9580\uff0c\u30cb\u30e5\u30fc\u30e8\u30fc\u30af\u5e02\u4ea4\u901a\u5c40\u304c\u4e3b\u5c0e\u3059\u308b\u516c\u5171\u90e8\u9580\uff0c\u304a\u3088\u3073\u30ec\u30f3\u30bb\u30e9\u30fc\u5de5\u79d1\u5927\u5b66\u304c\u7387\u3044\u308b\u5b66\u8853\u90e8\u9580\u306b\u3088\u308b\u7523\u5b98\u5b66\u9023\u643a\u4e8b\u696d\u3067\u3059\uff0e\u3053\u306e\u4e8b\u696d\u306b\u3088\u308a\uff0c\u30cb\u30e5\u30fc\u30e8\u30fc\u30af\u5e02\u306e400\u4ee5\u4e0a\u306e\u5546\u696d\u65bd\u8a2d\u304cOHD\u3092\u53d7\u3051\u5165\u308c\u3066\u3044\u307e\u3059\uff0e\u305d\u306e\u7d4c\u6e08\u7684\u5229\u76ca\u306f\u975e\u5e38\u306b\u5927\u304d\u304f\uff0c\u904b\u9001\u696d\u8005\u306f\u914d\u9001\u8cbb\u7528\u3068\u99d0\u8eca\u9055\u53cd\u306b\u3088\u308b\u7f70\u91d1\u309245%\u524a\u6e1b\u3067\u304d\uff0c\u8377\u53d7\u4eba\u306f\u914d\u9001\u306e\u4fe1\u983c\u6027\u304c\u9ad8\u304f\u306a\u3063\u305f\u3053\u3068\u3067\u5728\u5eab\u91cf\u3092\u6e1b\u3089\u3059\u3053\u3068\u304c\u3067\u304d\uff0c\u30c8\u30e9\u30c3\u30af\u904b\u8ee2\u624b\u306f\u30b9\u30c8\u30ec\u30b9\u304c\u6e1b\u308b\u3068\u3068\u3082\u306b\uff0c\u52b4\u50cd\u6642\u9593\u304c\u77ed\u304f\u306a\u308a\uff0c\u914d\u9001\u3068\u99d0\u8eca\u304c\u5bb9\u6613\u306b\u306a\u308a\u307e\u3057\u305f\uff0e\u914d\u9001\u30c8\u30e9\u30c3\u30af\u306f\u901a\u5e38\u306e\u914d\u9001\u6642\u3088\u308a\u308255\u301c67%\u306e\u6392\u30ac\u30b9\u3092\u524a\u6e1b\u3067\u304d\uff0c\u3053\u308c\u306f\u5e74\u9593250\u4e07\u30c8\u30f3\u306eCO2\u306e\u524a\u6e1b\u306b\u3064\u306a\u304c\u308a\u307e\u3059\uff0e\u307e\u305f\uff0c\u30c8\u30e9\u30c3\u30af\uff0c\u81ea\u52d5\u8eca\uff0c\u81ea\u8ee2\u8eca\uff0c\u6b69\u884c\u8005\u4ea4\u901a\u306e\u4ea4\u932f\u306e\u6e1b\u5c11\uff0c\u304a\u3088\u3073\u4f4e\u9a12\u97f3\u306e\u914d\u9001\u65b9\u6cd5\u30fb\u6280\u8853\u306e\u4f7f\u7528\u306b\u3088\u308a\uff0c\u5e02\u6c11\u306e\u751f\u6d3b\u306e\u8cea\u304c\u5411\u4e0a\u3057\u307e\u3057\u305f\uff0e\u3053\u308c\u3089\u306e\u7d4c\u6e08\u7684\u7dcf\u5229\u76ca\u306f\u5e74\u95932,000\u4e07\u30c9\u30eb\u3092\u8d85\u3048\u307e\u3059\uff0eOHD\u30d7\u30ed\u30b0\u30e9\u30e0\u306e\u6210\u529f\u306f\u4e3b\u306b\u884c\u52d5\u30de\u30a4\u30af\u30ed\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u3092\u7528\u3044\u305f\u653f\u7b56\u8a2d\u8a08\u306b\u3088\u308b\u3068\u3053\u308d\u304c\u5927\u304d\u3044\u3067\u3059\uff0e\u3053\u306e\u72ec\u81ea\u306e\u6700\u9069\u5316\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u30b7\u30b9\u30c6\u30e0\u306b\u306f\uff0c\u653f\u7b56\u306e\u4ee3\u66ff\u6848\u306e\u6709\u52b9\u6027\u3092\u8a55\u4fa1\u3059\u308b\u30aa\u30da\u30ec\u30fc\u30b7\u30e7\u30f3\u30ba\u30fb\u30ea\u30b5\u30fc\u30c1\u3084\u7d4c\u55b6\u79d1\u5b66\u306e\u7814\u7a76\u6210\u679c\u304c\u7d44\u307f\u8fbc\u307e\u308c\u3066\u3044\u307e\u3059\uff0e\u3053\u308c\u306b\u3088\u308a\uff0c\u7c73\u56fd\u3067\u6700\u3082\u8907\u96d1\u306a\u90fd\u5e02\u74b0\u5883\u3067\u306e\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306e\u5b9f\u65bd\u306b\u6210\u529f\u3057\u307e\u3057\u305f\uff0e<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Institute for Operations Research and the Management Sciences (INFORMS) \u306e\u3054\u539a\u610f\u306b\u3088\u308a\uff0cINFORMS Journal on Applied Ana &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/orsj.org\/informs\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;INFORMS Journal on Applied Analytics \u63b2\u8f09\u8ad6\u6587\u30a2\u30d6\u30b9\u30c8\u30e9\u30af\u30c8\u306e\u65e5\u672c\u8a9e\u8a33&#8221;<\/span><\/a><\/p>\n","protected":false},"author":4,"featured_media":0,"parent":7941,"menu_order":2,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_uag_custom_page_level_css":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-5804","page","type-page","status-publish","hentry"],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false,"education-pro-homepage-thumb":false},"uagb_author_info":{"display_name":"\u5e83\u5831\u59d4\u54e1\u4f1a","author_link":"https:\/\/orsj.org\/?author=4"},"uagb_comment_info":0,"uagb_excerpt":"Institute for Operations Research and the Management Sc&hellip;","_links":{"self":[{"href":"https:\/\/orsj.org\/index.php?rest_route=\/wp\/v2\/pages\/5804","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/orsj.org\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/orsj.org\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/orsj.org\/index.php?rest_route=\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/orsj.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=5804"}],"version-history":[{"count":18,"href":"https:\/\/orsj.org\/index.php?rest_route=\/wp\/v2\/pages\/5804\/revisions"}],"predecessor-version":[{"id":8570,"href":"https:\/\/orsj.org\/index.php?rest_route=\/wp\/v2\/pages\/5804\/revisions\/8570"}],"up":[{"embeddable":true,"href":"https:\/\/orsj.org\/index.php?rest_route=\/wp\/v2\/pages\/7941"}],"wp:attachment":[{"href":"https:\/\/orsj.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=5804"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}