Page 26 - Revised_Interactive_IIM(V)ibes_Newsletter 18th July

2. Assessing environmental performance of service
supply chain using fuzzy TOPSIS method

Published in Journal of Asia Business Studies (ABDC-C)
This paper aims to apply a multi-criteria decision-making (MCDM)
framework to evaluate the environmental performance of the medical
service supply chain using a case study in India. An application of MCDM
method, the fuzzy TOPSIS (Technique for order of preference by similarity to
ideal solution) model, is used for Medical Support Service Provide firms
Authors: (MSSPF) environmental performance evaluation. We require multiple and
Sudhanshu Parashar, conflicting criteria to fix real-life decision-making challenges, which in turn
Sujoy Bhattacharya, led to the inception of (MCDM). However, MCDM is contracted with various
Rohit Titiyal contradictory requirements in which the knowledge of decision-makers is
Diya Guha Roy generally vague and thereby more challenging. In this situation, inclusions of
fuzzy set theory in MCDM Methods would be good to solve the MCDM
problem. In this study, the authors used a fuzzy TOPSIS MCDM model to
solve the evaluation framework. Data were collected from the experts from
the MSSPF about the more perfect criteria to assess environmental
performance using a questionnaire. Case assesses the environmental
performance, based on defined criteria, of three MSSPF by the experts.
Fuzzy TOPSIS Method ranks three MSSPF according to environmental
performance in the following order: Firm B, Firm A and Firm C. The result
suggested that ‘Firm B’ performed superior environmental performance
followed by ‘Firm A’ and ‘Firm C’. This evaluation framework will help MSSPF
to identify potential areas of further improvement in Environmental
performance, and thereby creates strategies to overcome and formulate
new innovations. Notably, this is one of the few studies to have used this
method to gauge the environmental performance of the medical service
supply chain in India.
Click here for the paper.

24 | Vol 4 | Issue 2 | Jan-April 2023