Title :
Robust optimization of multi-sourcing strategies in resilient supply chain
Author :
Ni-na, Yan ; Bao-wen, Sun
Author_Institution :
Bus. Sch., Central Univ. of Finance & Econ., Beijing, China
Abstract :
In this paper, we establish a resilient supply chain system with one manufacturer and multi-supplier in the uncertain environment. We formulate the robust stochastic optimization models based on multi-sourcing strategies under the consideration of sources substitutability. Using robust optimization method we analyze the Stackelberg game, in which the manufacturer acting as the leader and the suppliers are followers. The absolute robust problems, robust deviation problems and relative robust problems are solved respectively. Finally, we use numerical examples to calculate and analyze the suppliers´ robust deviation provision and the manufacturer´s robust deviation procurement price under different source substitutability, which proved the rationality and validity of robust decisions.
Keywords :
game theory; optimisation; stochastic processes; supply chains; Stackelberg game; multi-sourcing strategies; resilient supply chain; robust stochastic optimization models; uncertain environment; Optimization; Procurement; Robustness; Silicon; Supply chains; Uncertainty; multi-sourcing; resilient supply chain; robust optimization; stackelberg game; uncertainty;
Conference_Titel :
Management Science and Engineering (ICMSE), 2010 International Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4244-8116-3
DOI :
10.1109/ICMSE.2010.5719847