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Measuring Leanness and Agility Status of Iranian Food Industries Supply Chains Using Data Envelopment Analysis

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Computer Information Systems – Analysis and Technologies

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 245))

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Abstract

This research proposes a methodology to measure the overall leanness and agility of supply chains considering the most appropriate index of supply chains in food industry. Output and input of proposed model base in Data Envelopment analysis are identified from literature review and the level of them from a survey questionnaire accrued. Using the Data Envelopment Analysis technique, the leanness and agility measures delivers a self-contained, unit-invariant score of the whole supply chain system to support decision making on continuous improvement. And firms could adopt either a lean or an agile strategy or both, depending on the environment. This article provides a DEA method to measure two supply chain strategies and benchmarks their indexes to co-align competitive strategies with the environment to improve performance. This approach has been applied in case of some Iranian food industry supply chains to prove the applicability of the method.

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Authors and Affiliations

  1. Department of Industrial and System Engineering, South Tehran Branch, Islamic Azad University, 11518-63411, Tehran, Iran

    Pouyeh Rezazadeh

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  1. Pouyeh Rezazadeh
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Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Calcutta, 92 APC Road, 700009, Kolkata, India

    Nabendu Chaki

  2. Università Ca’ Foscari di Venezia, via Torino 155, 30172, Mestre, Italy

    Agostino Cortesi

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Rezazadeh, P. (2011). Measuring Leanness and Agility Status of Iranian Food Industries Supply Chains Using Data Envelopment Analysis. In: Chaki, N., Cortesi, A. (eds) Computer Information Systems – Analysis and Technologies. Communications in Computer and Information Science, vol 245. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27245-5_23

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  • DOI: https://doi.org/10.1007/978-3-642-27245-5_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27244-8

  • Online ISBN: 978-3-642-27245-5

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