文章基本信息

标题：Coordinating order acceptance and integrated lot streaming-batch delivery scheduling considering third party logistics
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作者：Noroozi, A. ; Mazdeh, M. ; Heydari, M. 等
期刊名称：Uncertain Supply Chain Management
印刷版ISSN：2291-6822
电子版ISSN：2291-6830
出版年度：2019
卷号：7
期号：1
页码：73-96
DOI：10.5267/j.uscm.2018.5.001
语种：English
出版社：Growing Science
摘要：Inspired by the industries such as food and beverage, metal and steel, as well as petroleum and petrochemical ones, the current study addresses a joint order acceptance and scheduling, lot streaming in a flexible flow shop and batch delivery problem. For maximizing a profit objective function with trading off between the revenue of the accepted orders and the costs incurred, a novel mixed integer linear programming is proposed. This paper develops a hybrid metaheuristic algorithm based on the Genetic Algorithm. In the developed algorithm, (1) a heuristic, (2) a local search, and (3) a restart phase is proposed. To set the appropriate parameters of the algorithms, Taguchi experimental design was applied. The obtained results reveal the appropriate performance of the hybrid genetic algorithm.
关键词：Genetic algorithm;Order acceptance;Flexible flow shop;Lot streaming;Batch delivery;Third-party logistics