Investing in lean manufacturing practices: an environmental and operational perspective

Chunguang Bai*, Ahmet Satir, Joseph Sarkis

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

30 Citations (Scopus)

Abstract

Lean manufacturing practices (LMPs) and corporate environmental sustainability are becoming inextricably linked. Throughout the lean and green debate, many organisations have recognised that LMPs have implications for their sustainable development and competitive positioning. Not only LMPs are complex on their own, but when perceived from an environmental sustainability perspective, the decision to implement an LMP can become even more intricate. Although general tools exist, the lack of effective decision-making tools to help in the implementation of LMPs with an environmental sustainability dimension is palpable. Thus, this study tackles the aforementioned decision problem by incorporating environmental and operational performance outcome expectations as these expectations are viewed in light of the ease of implementation of various LMPs. A novel multi-criteria decision-making (MCDM) model for evaluation of LMPs is developed in this respect. The model integrates a three-parameter interval grey number with rough set theory and the TODIM method. The model is run using empirical data from six manufacturing organisations. The findings facilitate the identification of a ‘locus of investments’ for a better selection of LMPs. The robustness of the decision support model developed is assessed through sensitivity analysis.

Original languageEnglish
Peer-reviewed scientific journalInternational Journal of Production Research
Volume57
Issue number4
Pages (from-to)1037-1051
Number of pages15
ISSN0020-7543
DOIs
Publication statusPublished - 16.02.2019
MoE publication typeA1 Journal article - refereed

Keywords

  • ease of implementation
  • environmental performance
  • grey numbers
  • lean manufacturing
  • operational performance
  • rough set
  • TODIM
  • 512 Business and Management
  • lean manufacturing
  • environmental performance
  • operational performance
  • ease of implementation
  • rough set
  • TODIM
  • grey numbers

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