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The goal of this research is to identify the significant factors affecting the firm performance and estimate the system behavior in different operating conditions. By determining the statistical relations of the productivity and effectiveness of the firm with these factors, a decision-making framework can be provided to improve the system performance within the competitive strategy of the whole supply...
Supply chain is a complicated, open system, for the constant development, and fierce degree of market competition of the society increase day by day, the discrimination and management of risk of Supply chain are more essential. Kinds of risk factors of Supply chain are analyzed in the text, according to the influence degree of each risk factor, a method combined BP neural network and fuzzy evaluation...
Supplier selection in industry is a cross-functional, group decision-making problem, frequently solved by a non-programmed decision-making process, and involving long-term commitment for a company. During recent years, how to determine suitable suppliers in the supply chain has become a key strategic consideration. However, the nature of these decisions usually is complex and unstructured. Especially,...
The term logistics has been studied with the increasing recognition about its importance to enterprises, organizations as well as the national economy. The logistics center is an important node in supply chain. Two key factors have to be considered for the scheme of the logistics center: one is how to assign the orders to suppliers, and the other is choice of transportation strategy. This paper has...
The uncertain parameters of the supply chain production planning system mainly include the customer demand, unit product revenue, lead time and the material prices. The uncertainties may have complicated characteristics. The fuzzy grey variable was proposed to describe some uncertain parameters containing fuzzy and grey two-fold uncertain factors. The uncertain programming model of supply chain production...
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