Development and Evaluation of Comprehensive Performance Framework for Industry 4.0 Implementation in Indian Automotive Manufacturing System
Year: 2025
Type: article
Abstract: This research presents a robust, hypothesis-driven framework for evaluating Industry 4.0 implementation in Indian automotive manufacturing. Building upon a comprehensive readiness assessment of 55 automotive firms, the study integrates advanced analytics, structural equation modeling (SEM), and digital twin technology to assess the multidimensional impact of digital transformation initiatives. The research incorporates empirical results from hypothesis testing across five primary domains: technological capabilities, workforce skills, organizational culture, maturity model effectiveness, and regulatory environment impacts. The proposed Performance Evaluation Index (PEI) synthesizes 47 key performance indicators (KPIs) across five critical domains, demonstrating that organizations implementing the integrated framework achieved 34% improvement in overall equipment effectiveness (OEE), 28% reduction in production defects, and 22% decrease in operational costs. The study validates the framework through advanced statistical techniques including confirmatory factor analysis, partial least squares-structural equation modeling (PLS-SEM), and time-series analysis, providing robust evidence for the factors driving Industry 4.0 readiness and implementation success.
DOI: 10.14419/8x43v448
Authors: Arpita Asthana, Himanshu Payal
Institution: Sharda University
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4417036485
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