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  • 标题:Vehicle routing problem with considering multi-middle depots for perishable food delivery
  • 本地全文:下载
  • 作者:Rabbani, M. ; Farshbaf-Geranmayeh, A. ; Haghjoo, N.
  • 期刊名称:Uncertain Supply Chain Management
  • 印刷版ISSN:2291-6822
  • 电子版ISSN:2291-6830
  • 出版年度:2016
  • 卷号:4
  • 期号:3
  • 页码:171-182
  • DOI:10.5267/j.uscm.2016.3.001
  • 语种:English
  • 出版社:Growing Science
  • 摘要:Today, distributing high quality perishable foods is one of the challenging issues in food industry. This paper introduces a deterministic vehicle routing problem model with multiple middle depots and proposes the freshness of perishable foods as a new concept to obtain optimal delivery routes. For the proposed mathematical model, profit maximization of delivering the product, minimization of the transportation costs and vehicle traveling time, and maximum level of delivered product perishability (loss of freshness) are considered. GAMS software is implemented to show the authority of the model. Furthermore, genetic algorithm (GA) has been developed to solve the model for large size instances. Several problems are tested in order to compare the exact and the GA solutions.
  • 关键词:Freshness;Genetic Algorithm;Multi middle depots;Perishable food products;Vehicle routing problem (VRP)
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