Prioritizing the critical enablers of Quality 4.0 implementation in automotive manufacturing industry: implications for industrial managers and policy-makers
Case study demonstrates key organizational and technological drivers of Quality 4.0 in automotive manufacturing, highlighting leadership and data analytics as critical.
Key Points
To identify and prioritize the critical enablers required for the successful adoption of Quality 4.0 in the automotive manufacturing sector.
Extracted potential critical enablers through a targeted literature review and refined them using semi-structured questionnaires aligned with Indian automotive manufacturing operations.
Prioritized enablers using a case study-based fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL) approach and verified results with sensitivity analysis.
Established an innovation-oriented culture as a foundational requirement for Quality 4.0 adoption.
Identified top management commitment and leadership, smart machine-to-machine communication, and quality data analytics as the most influential critical enablers.