Li Guo, Lv Fei, Guan Xu
School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China.
School of Management, Huazhong University of Science and Technology, Wuhan 430074, China.
ScientificWorldJournal. 2014;2014:894573. doi: 10.1155/2014/894573. Epub 2014 Apr 15.
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.
