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

  • Pouyeh Rezazadeh
Conference paper

DOI: 10.1007/978-3-642-27245-5_23

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

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.

Keywords

Data Envelopment Analysis Lean Supply Chains Agile Supply Chains Iranian Food Industries 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Pouyeh Rezazadeh
    • 1
  1. 1.Department of Industrial and System EngineeringSouth Tehran Branch, Islamic Azad UniversityTehranIran

Personalised recommendations