Analyzing interrelated enablers of industry 4.0 for implementation in present industrial scenario

Abstract

Purpose The paper aims to present a systematic literature review to analyze interrelated enablers of Industry 4.0 for implementation. Industry 4.0 is an integrated manufacturing strategy embedded with disruptive technologies. Adapting these technologies with the present industrial scenario is dependent on understanding the dynamics of various critical enablers in the existing literature. In this paper, an effort has been taken to validate and reinforce these enablers by experts in the field of Industry 4.0 for implementation. Design/methodology/approach A mixed-methodology is designed in this paper. A text mining approach with an expert’s linguistic assessment method is planned to discover the enablers from literature 2010 to 2019. The most critical enablers and their dependencies on other enablers are studied by using correlation analysis. Findings The research explores the power driving enablers in three groups: technology, features and requirements for implementing Industry 4.0 in the existing factory. In each group, a high degree of associated and dependent enablers is fragmented in detail. Practical implications This paper will benefit the research communities and practitioners to understand the significance of an integrated ecosystem of Industry 4.0 technologies, features and requirements for implementation. Originality/value The text mining approach integrated with expert’s linguistic assessment to explore the pairwise relationship among the enablers using word correlation is a novel approach in this paper. Moreover, to best of the authors’ knowledge, this is the first-ever attempt to conduct a structured literature review combined with text analysis and linguistic assessment to identify the enablers of Industry 4.0 for implementation.

An analysis of Industry 4.0 implementation-variables by using SAP-LAP and e-IRP approach

“…However, most existing research has concentrated on a single/individual variable of Industry 4.0 implementation, rather than analyzing the Industry 4.0 concept as a whole, following a theoretical model of inquiry. For example, Shayganmehr et al (2021), Murugaiyan and Ramasamy (2021), Krishnan et al (2021), Adebanjo et al (2021), Yadav et al (2020, Devi et al (2020) and Jain and Ajmera (2020) studied one set of variables known as enabler/enabling factor in the manufacturing and supply chain context. These researchers employed qualitative and quantitative techniques such as ISM, Fuzzy-MICMAC, robust best-worst method (RBWM), Q-sort methodology, analytic hierarchy process and expert's linguistic assessment method.…”

Manufacturing strategy 4.0: a framework to usher towards industry 4.0 implementation for digital transformation

“…Manufacturing experts seek knowledge about the process of implementing the I4.0 technologies at the manufacturing firm to mitigate disruptions from crises (Zheng et al, 2021). Thus, a digital manufacturing strategy for implementing I4.0 is developed to transform the way manufacturing function is configured and organized (Murugaiyan and Ramasamy, 2021). Digital manufacturing strategy or manufacturing strategy for I4.0 is expected to aid in deciding and implementing the most appropriate I4.0 technology for the specific manufacturing firm (Bibby and Dehe, 2018;Murugaiyan and Ramasamy, 2021;Parhi et al, 2021).…”

“…Thus, a digital manufacturing strategy for implementing I4.0 is developed to transform the way manufacturing function is configured and organized (Murugaiyan and Ramasamy, 2021). Digital manufacturing strategy or manufacturing strategy for I4.0 is expected to aid in deciding and implementing the most appropriate I4.0 technology for the specific manufacturing firm (Bibby and Dehe, 2018;Murugaiyan and Ramasamy, 2021;Parhi et al, 2021). The role of manufacturing strategy in implementing I4.0 technologies will be to effectively align the manufacturing decisions with the selected smart technology to deliver desired outputs and achieve smart manufacturing performance measures (Parhi et al, 2021).…”

“…The conceptual MS 4.0 framework consolidates the set of strategic choices that help in deploying I4.0 technologies successfully. The proposed MS 4.0 or digital manufacturing strategy, offers a roadmap for organizations to build smart, intelligent and interconnected manufacturing facilities to retain competitive advantage (Murugaiyan and Ramasamy, 2021). The proposed MS 4.0 framework and the identified objectives of each of the I4.0 technologies (enlisted in Appendix A1) can guide in deploying the best-suited I4.0 technology for the specific manufacturing firm (Bibby and Dehe, 2018; Murugaiyan and Ramasamy, 2021).…”

“…The proposed MS 4.0 or digital manufacturing strategy, offers a roadmap for organizations to build smart, intelligent and interconnected manufacturing facilities to retain competitive advantage (Murugaiyan and Ramasamy, 2021). The proposed MS 4.0 framework and the identified objectives of each of the I4.0 technologies (enlisted in Appendix A1) can guide in deploying the best-suited I4.0 technology for the specific manufacturing firm (Bibby and Dehe, 2018; Murugaiyan and Ramasamy, 2021). MS 4.0 can assist in configuring and organizing a manufacturing function in line with the I4.0 technologies.…”