期刊
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
卷 186, 期 1, 页码 276-287出版社
ELSEVIER
DOI: 10.1016/j.ejor.2007.01.034
关键词
forecasting; multi-generation diffusion; supply chain management; Monte Carlo simulation; bullwhip effect
资金
- National Research Foundation of Korea [과06A2405] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
Proper selection of information sharing policy and forecasting method has a significant impact on supply chain performance, especially in the high-tech industry where the product life cycle is short and multiple generations of products coexist. This paper evaluates the value of information sharing with various forecasting methods where two generations of high-tech products compete with each other in the same market. We consider two market environmental factors and two supply chain factors for the Monte Carlo Simulation and find out the most ideal combination of information sharing policy and forecasting method producing the maximum profits and service level. (c) 2007 Elsevier B.V. All rights reserved.
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