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Multi Criteria Decision Making

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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Wed, 13/04/2011 - 10:38

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