In the recent years, supply chain management (SCM) has gained immense importance since enterprises are now competing on supply chain rather than manufacturing or service operations. One of the key strategic considerations in the supply chain is with understanding the effects of design parameters on demand amplification in a model of a multi-echelon supply chain with information sharing  is a multi-objective problem involving both qualitative and quantitative factors. These factors and their interdependencies make the problem highly complex one. From the managerial perspectives, it is always convenient to express the variables and weights through linguistic values. This paper uses design of experiments to deal multiple factors in supply chain. The method is based on hierarchical Multi-criteria decision making (MCDM) using design of experiments for optimization. In such type of decision making problems, all the decision makers are assumed to be equally important resulting in impractical aggregation of decision. Therefore, design of experiments procedure based on the weight ages of decision makers. Then, weight ages of decision makers are incorporated to arrive at robust selection of optimized factors in SCM. Taguchi Design of Experiments is applied here to quantify the impact of the supply chain’s design parameters on its dynamic performance and the interactions that occur between the parameters. This study presents an approach to determining the relative contribution of the design parameters in controlling demand amplification. The overall aim is to give supply chain operations managers and designers a way to understand supply chain dynamics and the effects of design parameters and their interactions.

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Tue, 19/04/2011 - 21:06