Supply chain coordination: an inventory model for single-period utility product under fuzzy demand

Shihyu Chou, Chi Wen Chen

研究成果: 雜誌貢獻期刊論文同行評審

1 引文 斯高帕斯(Scopus)

摘要

Traditionally, the classical and well-known stochastic newsboy (or news vendor) models were used to solve the uncertainty issues for single-period utility products. These models focused on the randomness aspect of uncertainty and were developed using probability theory. Nevertheless, historical data is not always available and reliable for estimating demand probabilities for single-period utility products. In this paper, we consider an integrated decision model for a distributor and a retailer to determine the optimal delivered quantities of a single-period utility product from warehouses to retailing sites with fuzzy demands to maximize the overall profit. A genetic algorithm with a dynamically adaptive penalty function is designed to solve the model. An example of the crisp demand case is also included in the study for comparison. From the analysis of the illustrated example, we find that the percentage of the price shared by the distributor influences the profit allocation significantly and should be carefully considered in the negotiation between the two parties.

原文英語
頁(從 - 到)585-594
頁數10
期刊International Journal of Advanced Manufacturing Technology
88
發行號1-4
DOIs
出版狀態已發佈 - 2017 一月 1

ASJC Scopus subject areas

  • 控制與系統工程
  • 軟體
  • 機械工業
  • 電腦科學應用
  • 工業與製造工程

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