文章基本信息

标题：Developing a location-inventory-routing model using METRIC approach in inventory policy
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作者：Habibi, F. ; Asadi, E. ; Sadjadi, S. 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：2017
卷号：5
期号：4
页码：337-358
DOI：10.5267/j.uscm.2017.4.003
语种：English
出版社：Growing Science
摘要：Locating, routing and inventory control in production and distribution centers are the most important decisions in supply chain management. Because of the dependence of these decisions to each other, considering these three aspects simultaneously can have a huge impact on cost reduction. In this study, first, a location-inventory model is developed by utilizing METRIC approach and then, METRIC approach is applied to the location-inventory-routing model. The intended supply chain includes a supplier, distributors and retailers, and the inventory control policy is implemented for both the distributors and retailers. Retailers' demand follows Poisson distribution and the lead-time is also considered probabilistic and is affected by the shortage in distribution centers. Given that the presented model belongs to the class of NP-hard problems, a hybrid metaheuristic solution method is also presented to solve the resulted problem. The proposed hybrid metaheuristic algorithm contains a Simulated Annealing algorithm, to optimize the location-routing problem, and a Genetic Algorithm, to optimize the inventory problem. Also, to evaluate the performance of hybrid algorithm, a comparison between the results of the proposed hybrid algorithm and the exact solutions obtained from Lingo software is provided and, finally, the results are analyzed.
关键词：LIRP model;Integrated supply chain;Metric approach;Metaheuristic algorithm;One-for-one replenishment policy