报告题目：The Migratory Beekeeping Routing Problem Based on the Spatial-temporal Pattern of Nectar sources
报告人：马祖军教授
报告时间：2023年4月19日下午14:00
报告地点：阅江楼426
主持人：邱玉琢教授
报告摘要：The migratory beekeeping routing problem (MBRP) is proposed based on the practical background of the commercial apiculture industry to optimize the global revenue for beekeepers by comprehensively considering nectar source allocation, migration, production and sales of bee products, and corresponding time decisions. The MBRP is a new variant of the vehicle routing problem but with significantly different production time decisions at the vertices (i.e., nectar sources). That is, only the overlaps between residence durations and flowering periods generate production benefits. Different sales visits cause different gains from the same products; in turn, these lead to different production time decisions at previously visited nectar source locations and even change the visits for production. To overcome the difficulty resulting from the complicated time decisions, we utilize the Dantzig–Wolfe decomposition method and propose a revised labeling algorithm for the pricing subproblems. The tests, performed on instances and a real-world case, demonstrate that the column generation method with the revised labeling algorithm is efficient for solving the MBRP. Compared with traditional routes, a more efficient overall routing schedule for migratory beekeepers is proposed.
报告人简介：
马祖军，浙江财经大学工商管理学院教授、博士生导师。教育部新世纪优秀人才、四川省学术和技术带头人、四川省杰出青年学科带头人、湖北省“楚天学者计划”特聘教授、宁波市“甬江学者计划”讲座教授、西南交通大学“扬华学者”和“唐立新优秀学者”。主要从事物流与供应链管理领域的研究，主持了5项国家自然科学基金项目、1项国家重点研发计划项目子课题和10余项省部级科研项目。在Production and Operations Management、INFORMS Journal on Computing、European Journal of Operational Research、Omega、Transportation Research Part E、管理科学学报等UTD24国际顶级期刊或国内外权威期刊上发表论文40余篇，出版专著4部。研究成果获四川省科学技术进步二等奖、四川省社会科学优秀成果二等奖（2项）和三等奖（1项）、福建省社会科学优秀成果三等奖、中国物流与采购联合会科技进步三等奖（2项）、中国物流发展专项基金“宝供物流奖”等。
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商学院
2023年4月18日