What question did this study set out to answer?

This paper aims to explore the strategic integration of artificial intelligence into lean manufacturing systems and its effects on supply chain competitiveness.

June 2, 2026Open Access

Leveraging Artificial Intelligence for Integrating Lean Manufacturing: A Strategic Approach to Enhancing Competitiveness in Global Supply Chains

Key Points

This paper aims to explore the strategic integration of artificial intelligence into lean manufacturing systems and its effects on supply chain competitiveness.
Conducted a systematic literature review using the PRISMA framework.
Analyzed peer-reviewed studies to identify the relationship between AI tools and lean principles.
Developed a conceptual framework to map the AI-Lean synergy.
AI integration improves lean performance by facilitating intelligent process automation and data-driven planning.
Identified challenges for successful AI integration include organizational readiness and workforce capabilities.
Highlights the need for further empirical research, especially in emerging economies.

Abstract

In the age of technological revolution, where Artificial Intelligence (AI), Industry 4.0, and advanced technologies play a transformational role, a significant opportunity lies ahead for manufacturing industries to achieve greater efficiency, competitiveness and flexibility. The landscape of manufacturing industries has evolved significantly over time with the emergence of advanced technologies especially Artificial Intelligence (AI) and intelligent automation. Alongside, Lean Manufacturing with a major focus on waste minimization and value creation for customers has long supported process optimization and excellence in operations. This paper investigates the strategic integration of AI into Lean Manufacturing systems and its impact on global supply chain competitiveness. Key insights have been developed through a Systematic Literature Review using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework, a structured guideline for ensuring transparent and replicable reviews, drawing findings from recent peer-reviewed studies. The review explores the synergistic relationship between AI tools and Lean principles and identifies key enablers, benefits, and implementation challenges. This review reveals that AI enhances lean performance by enabling intelligent process automation, data-driven planning, and timely decision-making factors that significantly improve overall efficiency. However, its successful integration is associated with several challenges such as organizational readiness, workforce capabilities, and data governance. The paper proposes a conceptual framework that maps the AI-Lean synergy and concludes by highlighting the need for further empirical research, especially in the context of emerging economies. The study contributes to the growing discourse on AI-driven manufacturing transformation and sustainable supply chain competitiveness.

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Cite This Study

Deveshwar et al. (Thu,) studied this question.

synapsesocial.com/papers/6a1e732830b38c64201b6523 https://doi.org/https://doi.org/10.5281/zenodo.20475120

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