DocumentCode :
1831243
Title :
A fuzzy integrated vendor-buyer inventory policy of deteriorating items under credibility measure
Author :
Lo, Chien Chung
Author_Institution :
Dept. of Bus. Manage., Nat. United Univ., Miaoli, Taiwan
fYear :
2010
fDate :
7-10 Dec. 2010
Firstpage :
1666
Lastpage :
1670
Abstract :
A collaborative ordering policy in a modern supply chain system not only minimizes the integrated joint cost but also benefits each channel member. In the replenishment policy, resource constraint in each channel member is very common. When customer demand in the supply chain is fuzzy uncertainty, these constraints and cost functions may be imprecise and vague. In this paper, we consider fuzzy market demand and develop an integrated vendor-buyer ordering policy of deteriorating item with fuzzy joint cost and fuzzy vendor´s and buyer´s average inventory investment constraints. Under the credibility of the vendor´s and buyer´s average inventory investment constraints achieving their respective given confidence level, we develop a fuzzy chance-constrained programming model to find the optimal collaborative ordering policy that can minimize joint cost at a given credibility. Fuzzy simulation, associated with differential evolution (DE) algorithm is used to find the optimal decisions. A numerical example is presented at the end of this paper.
Keywords :
fuzzy set theory; inventory management; supply chain management; collaborative ordering policy; credibility measurement; differential evolution algorithm; fuzzy chance-constrained programming; fuzzy joint cost; fuzzy simulation; fuzzy uncertainty; inventory investment constraints; supply chain system; vendor-buyer inventory policy; Biological system modeling; Collaboration; Computational modeling; Investments; Joints; Supply chains; fuzzy credibility; inventory; supply chain;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management (IEEM), 2010 IEEE International Conference on
Conference_Location :
Macao
ISSN :
2157-3611
Print_ISBN :
978-1-4244-8501-7
Electronic_ISBN :
2157-3611
Type :
conf
DOI :
10.1109/IEEM.2010.5674589
Filename :
5674589
Link To Document :
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