Justification of synergistic implementation of TQM-SCM using fuzzy-based simulation model

Abstract

Purpose

The purpose of this paper is to evaluate the contribution of significant factors in the success of supply chain management (SCM) implementation and in synergistic approach (SCM-TQM) terms of business performance of Indian medium- and large-scale manufacturing industry.

Design/methodology/approach

This research paper deploys the fuzzy inference system (fuzzy logic tool box) to evaluate the success of SCM and synergistic approach’s implementation. For this purpose, significant factors for each SCM approach as well as synergistic approach are identified from relevant literature and validated by industry experts.

Findings

The results of fuzzy rule viewer and surface view tool of fuzzy tool box in MATLAB have highlighted that synergistic approach is better as compared to SCM approach. Furthermore, top management support and leadership role, SCM issues and total quality management (TQM) issues have emerged as significant predictor variables for successful synergistic implementation of TQM-SCM in Indian industries.

Originality/value

TQM and SCM are considered as performance improvement techniques by the manufacturing organizations. The present research work establishes that combined (TQM-SCM) initiatives have contributed more as compared to only SCM approach in the business performance of Indian manufacturing industry. So, the study stresses upon the need for improving coordination between various manufacturing parameters as well as competitive dimensions of TQM and SCM paradigms to enjoy higher potential of business performance.

Citation

Kaur, M., Singh, K. and Singh, D. (2020), "Justification of synergistic implementation of TQM-SCM using fuzzy-based simulation model", World Journal of Science, Technology and Sustainable Development, Vol. 17 No. 1, pp. 71-89. https://doi.org/10.1108/WJSTSD-08-2019-0058