Collaborative optimization of suppliers selection and order quantity allocation using joint replenishment policy

被引：0
|
作者：
Zeng Y.-R. [1 ,2 ]
Wan J.-C. [3 ]
Lyu S.-X. [2 ]
Wang S.-R. [2 ]
Wang L. [2 ]
机构：
[1] School of Communication and Information Engineering, Hubei University of Economics, Wuhan
[2] School of Management, Huazhong University of Science and Technology, Wuhan
[3] Potevio Information Technology Co. Ltd., Beijing
来源：
Kongzhi yu Juece/Control and Decision | 2019年 / 34卷 / 08期
关键词：
Differential evolution algorithm; Grouping constraint; Joint replenishment; Order quantity allocation; Simulated annealing; Supplier selection;
D O I：
10.13195/j.kzyjc.2018.0003
中图分类号：
学科分类号：
摘要：
The problem of coordinated supplier selection and quantity allocation based on the joint replenishment policy is studied, and an effective and improved differential evolution (IDE) algorithm is proposed to solve the problem. Then a new coordinated supplier selection and order quantity allocation model considering grouping constraint caused by the heterogeneity of items is developed. Results of contrastive numeric examples show that the IDE algorithm outperforms the standard DE algorithm and the simulated annealing (SA) algorithm in solving this problem and its extension type. The effectiveness of the IDE algorithm is further verified by randomly generated large-scale numerical examples. © 2019, Editorial Office of Control and Decision. All right reserved.
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页码：1714 / 1722
页数：8
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