Analysis of Enablers to Implement Ergonomic Interventions in Indian Manufacturing Industry: A Multi-criteria Decision-making Approach

Abstract

The implementation of ergonomics intervention practices is the need of time in a highly global competitive working environment for cutting down musculoskeletal health issues and improving the productivity of workers. Thus far, no research has developed practical methodological approaches and techniques to look into the dynamic nature of ergonomics intervention practices, specifically in the glass artware industry. Therefore, the objective of this article is to identify and prioritize the enablers to implement ergonomics intervention practices in Indian glass artware industries. Nineteen ergonomics intervention (EI) practices enablers were identified from the literature review and 16 were screened from identified enablers with the help of fuzzy Delphi method (FDM). The screened important enablers were then examined using a hybrid Interpretive Structural Modeling- Matrix Cross-Reference Multiplication Applied to a Classification-based framework. The interpretive structural modelling (ISM) methodology helps in evaluating contextual interactions among the enablers while classifying them based on their driving and dependence power. The results revealed that stringent legal requirements from the government, along with management support and commitment, are the main drivers and play a significant role over other enablers. Further, this study attempts to explore the critical enablers that are most prevalent for implementing EI practices. The results would be helpful for industries in implementing EI practices within their production systems by introducing and boosting the dominant enabler. This research offers key insight for practitioners, researchers and policy-makers by identifying interrelationships among the enablers.

Barriers to Industry 4.0 technology adoption in agricultural supply chains: a Fuzzy Delphi-ISM approach

“…The use of FDT vis-à-vis traditional qualitative methods, such as in-depth interviews, was preferred because the latter are time-consuming and often prone to yielding vague or uncertain exploratory results (Phellas et al ., 2011; Rathore et al ., 2022). Conversely, the advantage of Fuzzy Delphi Method (FDM) mitigates the uncertainty and imprecision inherent in experts' assessments (Gupta et al ., 2022), addressing scenarios where humans cannot draw precise conclusions (Rathore, 2021; Rathore and Gupta, 2022). FDT is based on the theory of fuzzy sets (Singh and Sarkar, 2020) and involves collecting experts’ ratings on each of the factors on a fuzzy linguistic scale.…”

Identification and analysis of adoption barriers of disruptive technologies in the logistics industry

“…, 2022). In this manner, it addresses the situations in which humans cannot precisely conclude (Rathore, 2021; Rathore and Gupta, 2021).…”

“…In contrast, FDM addresses the vagueness and ambiguity of experts' judgements with the help of fuzzy set theory (Gupta et al, 2022). In this manner, it addresses the situations in which humans cannot precisely conclude (Rathore, 2021;Rathore and Gupta, 2021).…”