Abstract
In today’s industrial landscape, lean manufacturing and digitalization are key strategies for enhancing efficiency. Lean manufacturing minimizes waste and optimizes processes, while digitalization leverages IoT, AI, and big data to streamline operations and improve decision-making. This review explores their integration across industries like manufacturing, healthcare, and logistics. The combination of lean principles and digital tools enhances productivity, reduces costs, and improves efficiency. Organizations benefit from real-time monitoring, predictive maintenance, and automation, leading to smoother workflows and less downtime. AI-driven analytics help identify inefficiencies, while digital twins enable real-time simulations for optimizing processes. IoT-enabled smart factories support continuous data collection, providing insights that align with lean objectives. This synergy fosters continuous improvement, enabling businesses to adapt swiftly to market changes and customer demands. However, challenges such as cultural shifts, cybersecurity risks, and initial investment costs must be addressed. By analyzing successful case studies, this review highlights strategies to overcome these barriers, reinforcing the importance of integrating lean manufacturing and digitalization to remain competitive in a technology-driven environment.
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