Multi-Echelon Data Envelopment Analysis Variable Returns to Scale Models for Performance Evaluation of Supply Chains

Mithun J Sharma and Song Jin Yu

A chapter in Multi-Criteria Methods and Techniques Applied to Supply Chain Management from IntechOpen

Abstract: This paper develops a variable returns to scale multi-echelon data envelopment analysis (DEA) model to measure the efficiency of supply chain. The model is constructed at first with the assumption of serial sequence in a supply chain. The inputs of one stage become the output of the other stage in the multi-echelon structure. The traditional variable returns to scale model of DEA is modified to fit in the multi-echelon structure. The developed model helps to evaluate the supply network in a coordinated manner. It also provides helpful insights as how to improve the supply network performance.

Keywords: DEA; variable returns to scale; supply chain; process cycles (search for similar items in EconPapers)
JEL-codes: M11 (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:ito:pchaps:141274

DOI: 10.5772/intechopen.78072

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