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	Optimization analysis of pull supply chain scheduling based on system's dynamic idle production ability constraint
	Yao Jian-ming ; Liu Li-wen
	2010-05-10 ; 2010-05-10
会议名称	Proceeding of the 2006 International Conference on Management of Logistics and Supply Chain ; International Conference on Management of Logistics ; Sydney, AUSTRALIA ; Web of Science
关键词	customer pulling mode idle production ability optimization supply chain scheduling Business Economics Management Operations Research & Management Science
中文摘要	The supply chain scheduling in customer pulling mode is a typical stochastic demand and stochastic resource-constrained dynamic problem, and one of the keys to settle the stochastic character is to make a rational treatment to supply chain system's dynamic production ability. Based on earlier related work and studying from an angle of the supply chain cooperators' dynamic idle production ability, it emphatically points out that the constraint relationship of dynamic idle production ability is the main one in scheduling optimization process on the premise of the satisfaction of the supply chain system's profits and the cooperators' profits, by analyzing the extra inventory relationship which can reflect the cooperators' satisfaction level of their subjective and objective profits. Then the relevant contradictions initiated by this constraint relationship are analyzed. With the introduction of the profits preference factors, an improving dynamic scheduling model is constituted. Finally, the validity and feasibility of the model get tested by a case.
会议录出版者	ORIENT ACAD FORUM ; MARRICKVILLE ; PO BOX 893, MARRICKVILLE, NSW 2204, AUSTRALIA
语种	英语 ; 英语
内容类型	会议论文
源URL	[http://hdl.handle.net/123456789/19866]
专题	清华大学
推荐引用方式 GB/T 7714	Yao Jian-ming,Liu Li-wen. Optimization analysis of pull supply chain scheduling based on system's dynamic idle production ability constraint[C]. 见:Proceeding of the 2006 International Conference on Management of Logistics and Supply Chain, International Conference on Management of Logistics, Sydney, AUSTRALIA, Web of Science.

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