Title: | An integrated algorithm for solving multi-customer joint replenishment problem with districting consideration |
Authors: | Yao, Ming-Jong Lin, Jen-Yen Lin, Yu-Liang Fang, Shu-Cherng 運輸與物流管理系 註:原交通所+運管所 Department of Transportation and Logistics Management |
Keywords: | Joint replenishment;Districting problem;Genetic algorithm |
Issue Date: | 1-Jun-2020 |
Abstract: | This paper studies a multi-customer joint replenishment problem with districting consideration (MJRPDC) which is of particular importance to a company that outsources its transportation and delivery operations to a third-party logistics (3PL) service provider. To solve the problem, we first propose an innovative search algorithm for solving the traditional multi-customer joint replenishment problem in a given zone. Then we design a GA-based framework to handle the corresponding districting problem based on the performance of each district evaluated by using the proposed search algorithm. The proposed methodologies are demonstrated by using an example of solving MJRPDC for a bank. |
URI: | http://dx.doi.org/10.1016/j.tre.2020.101896 http://hdl.handle.net/11536/154607 |
ISSN: | 1366-5545 |
DOI: | 10.1016/j.tre.2020.101896 |
Journal: | TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW |
Volume: | 138 |
Begin Page: | 0 |
End Page: | 0 |
Appears in Collections: | Articles |