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The Scientific World Journal - Volume 2014 2014, Article ID 894573, 12 pages -

Research Article

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

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

Economics and Management School, Wuhan University, Wuhan 430072, China

Received 1 October 2013; Accepted 17 November 2013; Published 15 April 2014

Academic Editors: T. Chen, Q. Cheng, and J. Yang

Copyright © 2014 Guo Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.

Autor: Guo Li, Fei Lv, and Xu Guan

Fuente: https://www.hindawi.com/


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