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

K. Khalili-Damghani, M. Taghavifard, L. Olfat and K. Feizi

International Journal of Business Performance and Supply Chain Modelling, 2012, vol. 4, issue 3/4, 206-232

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.

Keywords: agile supply chains; ASC; supply chain performance; performance measurement; two-stage DEA; ordinal data; agility performance; fresh food supply chains; data envelopment analysis; supply chain management; SCM. (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (2)

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