Optimization of Strategic Alliance 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 4 in Optimization of Integrated Supply Chain Planning under Multiple Uncertainty, 2015, pp 57-99 from Springer

Abstract: Abstract Very often the market demand and the price of the finished products that the supply chain provides are uncertain. Even for a strategic alliance supply chain which has a dominant core business, what it can coordinate and control is only limited to the supply and demand, price and other related information between node enterprises inside the supply chain. In the face of rapidly changing external market, it is difficult to determine parameters like the quantity of demand and price exactly. But decision makers can derive a probability distribution function of the changing within the market demand and the price of the product through the analysis of the historical data of demand and price. In other words, we can use random variables to describe such uncertain parameters as demand quantity and price.

Keywords: Supply Chain; Hybrid Intelligent Algorithm; Expected Value Model; Downstream Firms; Average Transport Costs (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-662-47250-7_4

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DOI: 10.1007/978-3-662-47250-7_4

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