Optimal Sustainability Assessment Method Selection: A Practitioner Perspective

K. Koppiahraj, S. Bathrinath, V.G. Venkatesh, V. Mani and Y. Shi
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K. Koppiahraj: Kalasalingam University
S. Bathrinath: Kalasalingam University
V.G. Venkatesh: Métis Lab EM Normandie - EM Normandie - École de Management de Normandie = EM Normandie Business School
V. Mani: Groupe Sup de Co Montpellier (GSCM) - Montpellier Business School
Y. Shi: Macquarie University [Sydney]

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Abstract: This study intends to identify, analyse, and evaluate sustainability assessment (SA) methods, along with the critical factors of sustainable manufacturing (SM) practice. Based on the opinion of experts and a literature review, 10 SA methods and 20 critical factors of SM practice were identified and analysed in relation to their optimal selection in sustainable operations. This research uses a fuzzy MULTIMOORA (Multi-Objective Optimisation on the basis of a Ratio Analysis plus the full multiplicative form) to rank SA methods based on the weights of the critical factors of SM practice obtained using a fuzzy analytic hierarchy process (AHP). A case study of the leather processing industry in India describes the use of the technique in practice. The ranks obtained using the AHP-fuzzy MULTIMOORA is compared with those obtained using the best\textendashworst method (BWM)-fuzzy MULTIMOORA. The results reveal that the Index of Social Progress and the Social Life Cycle Assessment are the top two reliable SA methods based on the identified critical factors of SM practice. Among the critical factors, the `identification of alternative raw materials', `methane mitigation', and `opting for re-utilisation' are identified as the prominent critical factors of SM practices. In addition to the critical factors of SM, this study also evaluates SA methods as they help to monitor industrial progress towards sustainability. These findings provide useful insights to practitioners and can help them select optimal and robust SA methods. \textcopyright 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature.

Keywords: Fuzzy AHP; Fuzzy MULTIMOORA; Leather processing industry; Sustainability assessment method; Sustainable manufacturing; Best-wost method (BWM) (search for similar items in EconPapers)
Date: 2023-05-01
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Citations: View citations in EconPapers (1)

Published in Annals of Operations Research, 2023, 324 (1-2), pp.629-662. ⟨10.1007/s10479-021-03946-z⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04435444

DOI: 10.1007/s10479-021-03946-z

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