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

Measuring agility performance in fresh food supply chains: an ordinal two-stage data envelopment... 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Business Performance and Supply Chain Modelling Inderscience Publishers

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

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1758-9401
eISSN
1758-941X
DOI
10.1504/IJBPSCM.2012.050390
Publisher site
See Article on Publisher Site

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.

Journal

International Journal of Business Performance and Supply Chain ModellingInderscience Publishers

Published: Jan 1, 2012

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