NDLI: Study on Multi-Products Supply Chain Volume Flexibility Decision Model Related to Producing Under Demand Uncertainty

Content Provider	IEEE Xplore Digital Library
Author	Pan Jingming Ma Hongjiang Tang Xiaowo
Copyright Year	2006
Description	Author affiliation: Sch. of Manage., Univ. of Electron. Sci. & Technol. of China, Chengdu (Pan Jingming; Ma Hongjiang; Tang Xiaowo)
Abstract	Considering the minimum expected total cost of supply chain and supply chain volume flexibility, the author established the multi-products supply chain's volume flexibility decision-making model related to producing under demand uncertainty in this paper. We got the function of the minimum expected total cost with respect to the volume flexibility level of supply chain. We presented the definition of the efficient frontiers of supply chain volume flexibility decision-making and explained its economic meanings. Furthermore, we researched its characteristics and proved the efficient frontiers have two characteristics: the monotone increasing and the convexity. Meanwhile, we introduced a kind of new criterion to confirm the optimal solution, which is minimizing the cost-flexibility coefficient. We established the optimal decision-making model, and obtained the optimal solution expression. At last, we proved the model and efficiency of decision in this paper through the numerical example
Starting Page	1409
Ending Page	1414
File Size	6503268
Page Count	6
File Format	PDF
ISBN	1424404509
DOI	10.1109/ICSSSM.2006.320718
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-25
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Uncertainty Supply chain management supply chain volume flexibility Supply chains Decision making multi-products related to producing Electrical capacitance tomography Customer service efficient frontiers Technology management Cost function Timing Consumer electronics
Content Type	Text
Resource Type	Article

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