Suppr超能文献

A collaborative scheduling model for the supply-hub with multiple suppliers and multiple manufacturers.

作者信息

Li Guo, Lv Fei, Guan Xu

机构信息

School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China.

School of Management, Huazhong University of Science and Technology, Wuhan 430074, China.

出版信息

ScientificWorldJournal. 2014;2014:894573. doi: 10.1155/2014/894573. Epub 2014 Apr 15.

Abstract

This paper investigates a collaborative scheduling model in the assembly system, wherein multiple suppliers have to deliver their components to the multiple manufacturers under the operation of Supply-Hub. We first develop two different scenarios to examine the impact of Supply-Hub. One is that suppliers and manufacturers make their decisions separately, and the other is that the Supply-Hub makes joint decisions with collaborative scheduling. The results show that our scheduling model with the Supply-Hub is a NP-complete problem, therefore, we propose an auto-adapted differential evolution algorithm to solve this problem. Moreover, we illustrate that the performance of collaborative scheduling by the Supply-Hub is superior to separate decision made by each manufacturer and supplier. Furthermore, we also show that the algorithm proposed has good convergence and reliability, which can be applicable to more complicated supply chain environment.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb01/4032755/28fc547e5540/TSWJ2014-894573.001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验