Justification of green manufacturing implementation parameters using fuzzy-based simulation model

Abstract

Purpose

This paper aims to evaluate the contribution of significant factors in the success of green manufacturing (GM) implementation in Indian small and medium-scale manufacturing organizations (SMEs).

Design/methodology/approach

In this paper, the fuzzy inference system (FIS; fuzzy logic toolbox) is deployed to assess the implementation of GM. For this purpose, significant factors for GM implementation success parameters are identified from relevant literature and validated by industry experts.

Findings

The output of FIS in MATLAB has given insight that adoption of new technology, customer’s attributes, social and government pressure and green supply chain management can be named as significant predicted variables for the success of GM implementation in Indian small and medium-scale organizations.

Research limitations/implications

The current research is carried out in Indian small and medium-scale manufacturing organizations with inputs from all over India but this study would not be applicable to the organizations of different sectors such as servicing sector and would also not applicable to the large-scale industries and other geographical locations other than India.

Originality/value

The present research work establishes that GM initiatives have contributed in the business performance of Indian small and medium-scale manufacturing industry. So, the study stresses upon the need for improving coordination between various manufacturing parameters as well as competitive dimensions of GM paradigms to enjoy higher potential of business performance.

Citation

Singh, M., Singh, K. and Sethi, A.S. (2020), "Justification of green manufacturing implementation parameters using fuzzy-based simulation model", Journal of Science and Technology Policy Management, Vol. 11 No. 4, pp. 377-394. https://doi.org/10.1108/JSTPM-10-2019-0101