DocumentCode :
120169
Title :
Research on Joint Strategy of Inventory for Production Disruption
Author :
Liu Jia-Guo ; Jiang Xing-He ; Shi Gao-Wei ; Zhao Jin-Lou
Author_Institution :
Econ. & Manage. Coll., Harbin Eng. Univ., Harbin, China
fYear :
2014
fDate :
4-6 July 2014
Firstpage :
329
Lastpage :
333
Abstract :
Under the consideration of stochastic demand and affected probability of a single enterprise within the alliance after the production disruptions, this paper based on the idea of joint inventory management, puts forward an improved inventory model, the joint emergency strategy inventory model, which is in order to decrease the inventory cost after the production disruptions. This paper builds an inventory costs function to deal with the risk of production disruptions of an independent enterprise and an inventory cost function of individual enterprise within the alliance. And from the analysis of the two cost functions, this paper concludes that the joint emergency strategy inventory model has bigger advantages in inventory costs. Finally, through specific examples, this paper analyzes the both expected costs of the independent enterprise and the individual enterprise within the alliance under the probability of different supply chain emergencies, and further validates the advantages of the joint emergency strategy inventory model.
Keywords :
cost accounting; inventory management; probability; stochastic processes; supply chain management; affected probability; inventory cost function; joint inventory management; joint strategy; production disruption; single enterprise; stochastic demand; supply chain emergencies; Analytical models; Cost function; Educational institutions; Joints; Stochastic processes; Supply chains; Production disruptions; inventory strategy; joint emergency strategy; strategic alliance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Sciences and Optimization (CSO), 2014 Seventh International Joint Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-5371-4
Type :
conf
DOI :
10.1109/CSO.2014.69
Filename :
6923696
Link To Document :
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