Title
Using Simulation Optimization As A Decision Support Tool For Supply Chain Coordination With Contracts
Abstract
This paper studies the issue of channel coordination for a supply chain consisting of one supplier and two retailers, facing stochastic demand that is sensitive to both sales effort and retail price. We develop a decision support tool using simulation optimization for supply chain coordination with revenue sharing or buyback contract. In order to represent a real competitive price and effort dependent demand, a new linear demand model is proposed. Due to the stochastic nature of the market demand and the interaction between decision variables, simulation could help us modeling and analyzing the problem. Simulation optimization is then used to find the optimum or near optimum set of decision variables in the cases of centralized supply chain and coordinated supply chain with contracts. ©2010 IEEE.
Publication Date
12-1-2010
Publication Title
Proceedings - Winter Simulation Conference
Number of Pages
1306-1317
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/WSC.2010.5679062
Copyright Status
Unknown
Socpus ID
79951625633 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/79951625633
STARS Citation
Eskandari, Hamidreza; Darayi, Mohamad; and Geiger, Christopher D., "Using Simulation Optimization As A Decision Support Tool For Supply Chain Coordination With Contracts" (2010). Scopus Export 2010-2014. 389.
https://stars.library.ucf.edu/scopus2010/389