Analysis and Evaluation of Roadblocks Hindering Lean-Green and Industry 4.0 Practices in Indian Manufacturing Industries

IF 0.6 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS International Journal of Decision Support System Technology Pub Date : 2023-07-10 DOI:10.4018/ijdsst.325350

Rimalini Gadekar, B. Sarkar, Ashish Gadekar

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Abstract

This research is focused on the identification, assessment, analysis, and evaluation of the impact of the most prominent out of many roadblocks impeding the implementation of Lean-Green and I4.0 practices in manufacturing industries. The research methodology is underpinned by an extensive literature review with expert interventions to make it comprehensive and far-reaching. Further, this exploratory research to address the broad objectives is based on a large sample size, which is validated statistically and empirically for its aptness. A combination of widely used statistical methods is used to converge, assess, analyze, and evaluate the impact of each roadblock individually and in the group on I4.0 implementation in industry. The study prominently depicts lack of organizational leadership, unclear waste management practices, and missing environment-friendly practices as the most prominent roadblocks hindering the progression of Lean-Green and I4.0 adoption. The novel PCA-ISM Fuzzy MICMAC integrated model developed in this research makes this article unique.

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印度制造业阻碍精益绿色和工业4.0实践的障碍分析与评估

本研究的重点是识别、评估、分析和评估阻碍制造业实施精益绿色和I4.0实践的众多障碍中最突出的障碍的影响。该研究方法以广泛的文献综述和专家干预为基础，使其全面而深远。此外，这项针对广泛目标的探索性研究是基于大样本量的，其适用性经过了统计和实证验证。广泛使用的统计方法的组合用于聚合、评估、分析和评估每个路障对工业中I4.0实施的影响。该研究突出表明，缺乏组织领导、废物管理实践不明确以及缺乏环保实践是阻碍精益绿色和I4.0采用的最突出障碍。本研究开发的新型PCA-ISM模糊MICMAC集成模型使本文具有独特性。

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来源期刊

International Journal of Decision Support System Technology COMPUTER SCIENCE, INFORMATION SYSTEMS-

CiteScore

2.20

自引率

18.20%

发文量