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Imprecise DEA Models to Assess the Agility of Supply Chains

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Supply Chain Management Under Fuzziness

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 313))

Abstract

In this chapter the concept of agility in supply chain is introduced. The criteria of agile supply chain (ASC) are introduced through a conceptual model. The ambiguity and vagueness of ASC criteria are investigated. Afterward, the significance of efficiency of a supply chain in making agility is introduced. Fuzzy Data Envelopment Analysis (DEA) models are developed in order to assess the efficiency of agility of supply chain processes in uncertain situations. Two patterns for agility of supply chains are introduced and the associated models are developed. The properties of the models are discussed. Finally, a real case study is provided to illustrate the application of proposed procedure and conclusion remarks are drawn.

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Acknowledgments

This chapter has been accomplished as a research plan entitled “Development of a novel network Data Envelopment Analysis model to measure the efficiency of agility in supply chain under fuzzy uncertainty”. This research has financially been supported by South-Tehran Branch, Islamic Azad University, Tehran, Iran.

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Authors and Affiliations

  1. Department of Industrial Engineering, South-Tehran Branch, Islamic Azad University, Tehran, Iran

    Kaveh Khalili-Damghani

  2. Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

    Soheil Sadi-Nezhad

  3. Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran

    Farhad Hosseinzadeh-Lotfi

Authors
  1. Kaveh Khalili-Damghani
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  2. Soheil Sadi-Nezhad
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  3. Farhad Hosseinzadeh-Lotfi
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Correspondence to Kaveh Khalili-Damghani .

Editor information

Editors and Affiliations

  1. Department of Industrial Engineering, Istanbul Technical University, İstanbul, Turkey

    Cengiz Kahraman

  2. Department of Industrial Engineering, Istanbul Technical University, İstanbul, Turkey

    Başar Öztayşi

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Khalili-Damghani, K., Sadi-Nezhad, S., Hosseinzadeh-Lotfi, F. (2014). Imprecise DEA Models to Assess the Agility of Supply Chains. In: Kahraman, C., Öztayşi, B. (eds) Supply Chain Management Under Fuzziness. Studies in Fuzziness and Soft Computing, vol 313. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53939-8_8

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  • DOI: https://doi.org/10.1007/978-3-642-53939-8_8

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  • Online ISBN: 978-3-642-53939-8

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