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The supply disruption has more influences on the enterprise performance than the demand disruption, while closer cooperation with suppliers is extremely important to mitigate supply disruption risk and improve performance. After the global supply chain emergencies arising frequently, all companies should ensure that supply disruption management becomes an intrinsic part of decision-making, to deal...
This paper develops an optimal technique for dealing with the fuzziness aspect of demand uncertainties facing consumer's decisions. Triangular fuzzy numbers are used to model external demand, and decisions models in both non-cooperative and cooperative situations are proposed and optimal pricing and ordering quantity policies are obtained by model calculating. Finally, based on the closed form solutions...
Consider a supply chain system consisting of one manufacturer and one retailer, in which the manufacturer provides one perishable product to the retailer with a wholesale price, and the retailer sales the product to consumers with a retail price, and the retailer provides partial returns policy for consumers. After knowing the retail price and the refund offered by the retailer, consumers according...
Seeking best logistics centre location (LCL) is a challenge problem and affected by many factors, such as the natural and business environment, the candidate infrastructure, as well as the surrounding conditions. These factors, taken as evaluation indicator to select the satisfying alternative, consist of many quantitative indicators and qualitative indicators; so the LCL belongs to the fuzzy semi-structured...
In this paper, we consider a two-echelon reverse supply chain system with one manufacturer, one retailer and a group of consumers, which offers consumers with perishable products, and consumers are allowed to return products to the retailer after purchasing. Joint decision models of delivery time and ordering quantity as well as refund was established separately in decentralized decision mode and...
This paper has discussed the spare parts purchasing risk of Shanghai Bao Steel Equipment maintenance Co, LTD with a series of quantitative methods including AHP method, Cluster Combine analysis method and etc. In this paper, we attempt to identify and evaluate each purchasing risk in this company. In addition, we have given different risk control methods to each sum-up kind of risks according to its...
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