Optimization of Decentralized Control Supply Chain Logistics Planning Under Uncertain Environment

Juping Shao (), Yanan Sun () and Bernd Noche ()
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Juping Shao: Suzhou University of Science and Technology
Yanan Sun: Suzhou Industrial Park Anwood Logistics System Co., Ltd
Bernd Noche: University Duisburg-Essen

Chapter Chapter 5 in Optimization of Integrated Supply Chain Planning under Multiple Uncertainty, 2015, pp 101-147 from Springer

Abstract: Abstract Strategic alliance supply chain can coordinate and control the supply, demand, price and other information of the node enterprises in the supply chain. However, decentralized control supply chain cannot do that. Therefore, for every node enterprise in the decentralized control supply chain, it is hard to accurately acquire the market supply price information of raw materials and market demand price information of finished products. The decision-maker of the enterprises can nevertheless obtain the probability distribution function of the changes of the market prices of raw materials and finished products by analyzing the purchasing prices, sale prices and other historical data. That is to say, two uncertain parameters—market supply price of raw materials and market demand price of finished products can be described by random variables.

Keywords: Supply Chain; Stochastic Simulation; Planning Period; Iteration Time; Crossover Probability (search for similar items in EconPapers)
Date: 2015
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DOI: 10.1007/978-3-662-47250-7_5

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