Artificial Intelligence and Lean Manufacturing

This book applies artificial intelligence to lean production and shows how to practically combine the advantages of these two disciplines.

Lean manufacturing originated in Japan and is a well-known tool for improving manufacturers' competitiveness. Prevalent tools for lean manufacturing include Kanban, Pacemaker, Value Stream Map, 5s, Just-in-Time and Pull Manufacturing. Lean Manufacturing and the Toyota Manufacturing System has been successfully applied to various factories and supply chains around the world. A lean manufacturing system can not only reduce wastes and inventory, but also respond to customer needs more immediately. Artificial intelligence is a subject that has attracted much attention recently. Many researchers and practical developers are working hard to apply artificial intelligence to our daily lives, including in factories. For example, fuzzy rules have been established to optimize machine settings. Bionic algorithms have been proposed to solve production sequencing and scheduling problems. Machine learning technologies are applied to detect possible product quality problems and diagnose the health of a machine.

This book will be of interest to production engineers, managers, as well as students and researchers in manufacturing engineering.

Provides technical details on the application of artificial intelligence to lean manufacturing Is relevant to researchers in Industry 4.0, cyber-physical systems, lean manufacturing, artificial intelligence Demonstrates practical application of the concepts described

Autorentext

Dr. Chen has guest edited several special issues on mobile healthcare-related topics for journals including Health Care Management Science, Journal of Ambient Intelligence and Humanized Computing, International Journal of Intelligent Systems, etc. He has also published papers on mobile health care in journals such as International Journal of Intelligent Systems, Journal of Ambient Intelligence and Humanized Computing, Health Care Management Science, Cognitive Computation, Health Policy and Technology, and Digital Health. Dr. Lee is the Associate Editor of the IEEE Sensors Journal and has guest edited a special issue on wearable inertial sensors for gait for Sensors. She has also published papers on Gait & Posture, IEEE Sensors Journal, Journal of Computing and Information Science in Engineering, Journal of Biomechanics, Clinical Neurophysiology, etc. She is also an active reviewer for IEEE Transactions on Biomedical Engineering, IEEE Transactions on Information Forensics & Security, IEEE Sensors Journal, Advanced Engineering Informatics, Gait & Posture, etc.

Inhalt
Chapter 1. Basics in Lean Management.- Chapter 2. AI in Manufacturing.- Chapter 3. AI Applications to Kaizen Management.- Chapter 4. AI Applications to Pull Manufacturing and JIT.- Chapter 5. AI Applications to Production Leveling.- Chapter 6. AI Applications to Shop Floor Management: 5S, Kanban, SMED.- Chapter 7. AI Applications to Value Stream Mapping. <p