Optimal lot sizing and algorithm for dynamic pricing under random yield and demand

Guo Li*, Shihua Ma, Wenya Chou

*此作品的通讯作者

科研成果: 书/报告/会议事项章节章节同行评审

摘要

The literature under random component yield has focused on coordination of supply chain at the determined price, where decision maker chooses its optimal production quantities. We consider a centralized system when the price is not determined under both random yield and demand. Type A with perfect quality and type B with imperfect quality are produced due to the random yield. We prove the unique concavity of expected profit in centralized system at determined price. Then dynamic pricing is considered and algorithm is put forward for dynamic pricing. Errors can be sufficiently small as long as some parameters can be set suitably. Apart from lot sizing and dynamic pricing, we also provide qualitative insights based on numerical illustration of centralized and decentralized solutions.

源语言英语
主期刊名Opportunities and Challenges for Next-Generation Applied Intelligence
编辑Been-Chian Chien
139-145
页数7
DOI
出版状态已出版 - 2009
已对外发布

出版系列

姓名Studies in Computational Intelligence
214
ISSN(印刷版)1860-949X

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