DocumentCode :
3040992
Title :
A Compensation-Based Replenishment Model for Deteriorating Items via Simulated Annealing Method
Author :
Yu, Jonas C P ; Wee, H.M. ; Wang, K.J. ; Lin, Y.S.
Author_Institution :
Logistics Manage. Dept., Takming Univ. of Sci. & Technol., Taipei, Taiwan
Volume :
1
fYear :
2009
fDate :
19-21 May 2009
Firstpage :
229
Lastpage :
233
Abstract :
In a competitive market environment, business seeks to reduce cost by using strategic integration. This study derives an inventory replenishment model for a two-echelon supply chain in which the retailer is a leader of product price and the supplier is a price-follower. We consider that market demand is affected by its price and the product has a deterioration rate following Weibull distribution. A compensation model is developed to coordinate this two-echelon supply chain system to increase the product lifecycle and profits of the individuals as well as the system. Due to the complexity of the non-linear problems, it is not possible to find the global optimum analytically. This study maximizes the total profit of the supplier and buyer by a soft computing method, simulated annealing (SA). Numerical examples are given to justify the proposed model.
Keywords :
Weibull distribution; marketing; simulated annealing; supply chains; Weibull distribution; business; compensation model; compensation-based replenishment model; competitive market environment; deteriorating items; inventory replenishment; simulated annealing; soft computing method; strategic integration; two-echelon supply chain; Competitive intelligence; Computational modeling; Cost function; Electronic mail; Intelligent systems; Pricing; Production; Simulated annealing; Supply chains; Technology management; Simulated Annealing; compensation model; strategic integration; two-echelon supply chain;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3571-5
Type :
conf
DOI :
10.1109/GCIS.2009.141
Filename :
5208985
Link To Document :
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