DocumentCode :
2793732
Title :
Real time disruption management under two factors disruptions in supply chain
Author :
Huaping, Feng ; Junliang, Huang
Author_Institution :
Gengdan Inst., Beijing Univ. of Technol., Beijing, China
fYear :
2009
fDate :
17-19 June 2009
Firstpage :
3502
Lastpage :
3507
Abstract :
This paper studies the coordination problem of a supply chain with one supplier and one retailer under market scale and production cost disruptions, where demand function is nonlinear. The optimal emergency strategies are obtained for different disruption conditions under the centralized mode. The result shows that the original production plan has some robustness, but the retailing price always needs to be adjusted according to the different disruptions in order to maximize supply chain profit. For the decentralized model, when market scale and production cost are disrupted by the emergent events, it is proved that the supply chain can be fully coordinated by adjusting the price discount policy: the all-unit quantity discount policy and the capacitated linear price policy.
Keywords :
supply chain management; all-unit quantity discount policy; capacitated linear price policy; coordination problem; decentralized model; market scale; nonlinear demand function; optimal emergency strategies; price discount policy; production cost disruptions; production plan; real time disruption management; supply chain management; two factors disruptions; Cost function; Demand forecasting; Disaster management; Economic forecasting; Production; Robustness; Scheduling; Supply chain management; Supply chains; Technology management; Coordination mechanism; Disruption management; Optimal emergency strategy; Quantity discount; Supply chain management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
Type :
conf
DOI :
10.1109/CCDC.2009.5192491
Filename :
5192491
Link To Document :
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