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Imprecise DEA Models to Assess the Agility of Supply Chains

  • Kaveh Khalili-Damghani
  • Soheil Sadi-Nezhad
  • Farhad Hosseinzadeh-Lotfi
Chapter
Part of the Studies in Fuzziness and Soft Computing book series (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.

Keywords

Uncertainty Supply chain assessment Fuzzy DEA Two-stage DEA Agility 

Notes

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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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Kaveh Khalili-Damghani
    • 1
  • Soheil Sadi-Nezhad
    • 2
  • Farhad Hosseinzadeh-Lotfi
    • 3
  1. 1.Department of Industrial Engineering, South-Tehran BranchIslamic Azad UniversityTehranIran
  2. 2.Department of Industrial Engineering, Science and Research BranchIslamic Azad UniversityTehranIran
  3. 3.Department of Mathematics, Science and Research BranchIslamic Azad UniversityTehranIran

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