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

In: Multi-Criteria Methods and Techniques Applied to Supply Chain Management

Author

Listed:
  • Mithun J Sharma
  • Song Jin Yu

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.

Suggested Citation

  • Mithun J Sharma & Song Jin Yu, 2018. "Multi-Echelon Data Envelopment Analysis Variable Returns to Scale Models for Performance Evaluation of Supply Chains," Chapters, in: Valerio A. P. Salomon (ed.), Multi-Criteria Methods and Techniques Applied to Supply Chain Management, IntechOpen.
    • Handle: RePEc:ito:pchaps:141274
    DOI: 10.5772/intechopen.78072
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    More about this item

    Keywords

    DEA; variable returns to scale; supply chain; process cycles;
    All these keywords.

    JEL classification:

    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management

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