Evaluating the performance of supply chains is a difficult task due to the complexity inherent to the size and the structure of the supply chain. This paper presents a framework for evaluating and providing approximate dimensioning for supply chains. The framework is based on Data Envelopment Analysis (DEA) as a dynamic tool for measuring the relative technical, pure technical and scale efficiencies of a supply chain. The objectives of this study were (a) to construct a set of aggregated indicators that best characterize the performance of supply chains (b) to estimate the relative technical, pure technical and scale efficiencies of supply chains and interpret the results, (c) to estimate the magnitudes of input adjustments that would have been required to make each supply chain efficient, and finally (d) to propose an experimental approach to provide an approximate dimensioning for the supply chains operations.
Proposed Performance Evaluation Framework For Assessing and providing Approximate Dimensioning of Supply Chains: Case Study Of Public Pharmaceutical Products Supply Chains
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