DocumentCode :
624036
Title :
Emergency decision model for supply chain distribution in emergency response
Author :
Li Xiang-yang ; Zheng Yan ; Wang Yan-xin
Author_Institution :
Sch. of Econ. & Manage., Harbin Inst. of Technol., Harbin, China
fYear :
2013
fDate :
20-24 May 2013
Firstpage :
300
Lastpage :
306
Abstract :
For emergent production interruptions in supply chain affected by disasters, an emergency decision model with multiobjective and multi-constraints for distribution plan is proposed. In this model, two objectives, profit level and shortage cost, are considered by characterizing the performance and demand of satisfaction of decision-makers. According to preferences of decision makers, three rules of constraints satisficing decision are proposed, and a corresponding algorithm with constraint satisficing optimization is presented. The satisficing solution of the model gives the planning of time and quantity for sale in distribution after production interruptions. Finally, a case study and comparative analysis are given. The work of this paper shows that the proposed emergency decision model can help to improve the profit level and reduce shortage cost in supply chain with production interruptions caused by disasters. And the model can be used as an effective decision tool for collaboration in coproduction enterprises facing production interruptions.
Keywords :
decision making; emergency management; supply chains; constraints satisficing decision; coproduction enterprises; decision-makers; emergency decision model; emergency response; production interruptions; profit level; shortage cost; supply chain distribution; Equations; Linear programming; Mathematical model; Optimization; Supply chains; Uncertainty; constraint satisficing optimization; emergency decision; production interruptions; supply chain distribution; theory of constraint;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Collaboration Technologies and Systems (CTS), 2013 International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-6403-4
Type :
conf
DOI :
10.1109/CTS.2013.6567245
Filename :
6567245
Link To Document :
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