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Performance Measurement and Evaluation for Sustainable Supply Chains using Rough Set and Data Envelopment Analysis

In: Sustainable Supply Chains

Author

Listed:
  • Chunguang Bai

    (Dongbei University of Finance and Economics)

  • Joseph Sarkis

    (Clark University)

Abstract

Performance measurement of sustainable supply chains is not a trivial issue. The complexities associated with measurement of supply chains is well known. Expanded sustainability measures for organizations and their supply chains only causes additional complexity. With many and varied measures helping organizations to distill information such that only the most pertinent and direct measures that provide information can make the process both more effective and efficient. In order to meet these goals this chapter provides an integrative approach that will help first distill and filter measures that are less redundant and then utilize these measures to arrive at a single performance value that managers can use for comparative and benchmarking analysis. We utilize a novel rough set theoretic approach and data envelopment analysis (DEA) as tools for distillation and integration of a variety of sustainable supply chainperformance measures. An example from sustainable supply chain data helps provide insights into the methodology.

Suggested Citation

  • Chunguang Bai & Joseph Sarkis, 2012. "Performance Measurement and Evaluation for Sustainable Supply Chains using Rough Set and Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Tonya Boone & Vaidyanathan Jayaraman & Ram Ganeshan (ed.), Sustainable Supply Chains, edition 127, chapter 0, pages 223-241, Springer.
    • Handle: RePEc:spr:isochp:978-1-4419-6105-1_15
    DOI: 10.1007/978-1-4419-6105-1_15
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    Citations

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    Cited by:

    1. Ananna Paul & Nagesh Shukla & Sanjoy Kumar Paul & Andrea Trianni, 2021. "Sustainable Supply Chain Management and Multi-Criteria Decision-Making Methods: A Systematic Review," Sustainability, MDPI, vol. 13(13), pages 1-28, June.
    2. Chunguang Bai & Joseph Sarkis, 2013. "Green information technology strategic justification and evaluation," Information Systems Frontiers, Springer, vol. 15(5), pages 831-847, November.
    3. Somayeh Soheilirad & Kannan Govindan & Abbas Mardani & Edmundas Kazimieras Zavadskas & Mehrbakhsh Nilashi & Norhayati Zakuan, 2018. "Application of data envelopment analysis models in supply chain management: a systematic review and meta-analysis," Annals of Operations Research, Springer, vol. 271(2), pages 915-969, December.

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