The Impact of Green Supply Chain Management and Artificial Intelligence on Machine Defect Detection Using Quality Tools: A Case Study of SOPAL Tunisia
Purpose: This study examines the influence of Green Supply Chain Management (GSCM) integrated with Artificial Intelligence (AI) on machine defect detection through quality management tools in the manufacturing sector. The research aims to assess how the combination of sustainable supply chain practices and intelligent technologies can improve production quality, reduce waste, and enhance economic performance. Design/Methodology/Approach: A case study approach was adopted using SOPAL, a leading Tunisian manufacturer of sanitary and plumbing products. The study analyzes the application of AI-supported quality management tools, including Pareto Analysis, Ishikawa Diagrams, Statistical Process Control (SPC), and Failure Mode and Effects Analysis (FMEA), within a Green Supply Chain Management framework. Findings: The results reveal that the integration of Artificial Intelligence with quality management tools significantly improves machine monitoring and defect detection. The combined approach contributes to a reduction in production defects, minimizes material waste, enhances process efficiency, and supports sustainable manufacturing practices. Furthermore, the findings indicate a positive impact on operational performance and profitability. Practical Implications: The study provides practical insights for manufacturing firms seeking to improve quality performance while advancing sustainability objectives. The integration of AI-driven quality systems within GSCM initiatives offers a viable strategy for achieving operational excellence and long-term competitiveness. Originality/Value: This research contributes to the growing body of knowledge on the intersection of Green Supply Chain Management, Artificial Intelligence, and quality management. By providing empirical evidence from the Tunisian manufacturing sector, it demonstrates how AI-enhanced quality tools can support both environmental sustainability and economic performance.