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Measuring agility performance in fresh food supply chains: an ordinal two-stage data envelopment analysis

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  • K. Khalili-Damghani
  • M. Taghavifard
  • L. Olfat
  • K. Feizi

Abstract

In this paper, a process-based model including several measures for providers of agility, capabilities of agility, and main goals of supply chain is proposed. Then, an ordinal two-stage data envelopment analysis (OTSDEA) model has been developed using qualitative measures. The proposed OTSDEA can measure the relative efficiency of the aforementioned process and sub-processes in supply chain. As the overall efficiency of supply chain decomposed among aforementioned sub-processes so, decision maker (DM) can gain a proper perspective of each sub-process as well as the inefficient segments. Moreover, if a given DMU is proved to be inefficient, the source of inefficiency can be found from among its sub-DMUs. This can supplies more managerial insights for modification of an inefficient sub-process in a DMU more efficiently. Real case study of a dairy supply chain is supplied to address the ability of proposed procedure to measure efficiency of two-stage process in real environment.

Suggested Citation

  • K. Khalili-Damghani & M. Taghavifard & L. Olfat & K. Feizi, 2012. "Measuring agility performance in fresh food supply chains: an ordinal two-stage data envelopment analysis," International Journal of Business Performance and Supply Chain Modelling, Inderscience Enterprises Ltd, vol. 4(3/4), pages 206-232.
    • Handle: RePEc:ids:ijbpsc:v:4:y:2012:i:3/4:p:206-232
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    Cited by:

    1. Madjid Tavana & Kaveh Khalili-Damghani & Rahman Rahmatian, 2015. "A hybrid fuzzy MCDM method for measuring the performance of publicly held pharmaceutical companies," Annals of Operations Research, Springer, vol. 226(1), pages 589-621, March.
    2. Mohammad Amirkhan & Hosein Didehkhani & Kaveh Khalili-Damghani & Ashkan Hafezalkotob, 2018. "Measuring Performance of a Three-Stage Network Structure Using Data Envelopment Analysis and Nash Bargaining Game: A Supply Chain Application," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(05), pages 1429-1467, September.

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