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This book is the continuation of the textbook Lean Compendium Introduction to Modern Manufacturing Theory . It extends the theory of mathematical modeling to batch & queue-based cyber-physical production systems. To facilitate learning, the book continues to develop a Cartesian-derived understanding of the system's behavior by applying manufacturing-specific theorems, corollaries and lemmas. A law-based description enables to model production mathematically and understand upfront their dynamics in terms of WIP generation, lead-times, exit-rates, and on-time delivery performance. While simulation alone only allows to explore the optimum solution, the development of a theory allows to gain knowledge. This improves the learning of the physics of manufacturing systems and contributes to a solid production's understanding and a clear and cognitive problem determination that leads to a thorough mental capture for mastering a systematic design of such highly complex systems.
It introduces a rational description of how manufacturing systems work and perform Explains theory with theorems, corollaries and lemmas Complements existing, rather discursive literature about Advanced Manufacturing
Auteur
B. Rüttimann:- Dr.-Ing. Milan Polytechnic Institute
MBA Bocconi University
20 years managerial experience (Alusuisse, Alcan, Rio Tinto)
since 2010 consulting (inspire AG)
since 2010 lecturing (ETH Zürich)
M. Stöckli
Dr. sc. techn. ETH Zürich
Dipl. Masch.-Ing. ETH Zürich
20 years managerial experience in the automotive industry (Delphi Automotive Systems, IVECO, Schaffner, DUAP)
Texte du rabat
This book is the continuation of the textbook Lean Compendium Introduction to Modern Manufacturing Theory. It extends the theory of mathematical modeling to batch & queue-based cyber-physical production systems. To facilitate learning, the book continues to develop a Cartesian-derived understanding of the system s behavior by applying manufacturing-specific theorems, corollaries and lemmas. A law-based description enables to model production mathematically and understand upfront their dynamics in terms of WIP generation, lead-times, exit-rates, and on-time delivery performance. While simulation alone only allows to explore the optimum solution, the development of a theory allows to gain knowledge. This improves the learning of the physics of manufacturing systems and contributes to a solid production s understanding and a clear and cognitive problem determination that leads to a thorough mental capture for mastering a systematic design of such highly complex systems.
Contenu
Foreword.- Prologue.- Acknowledgements.- 1. The Need for Manufacturing Theory- 2. Basic Classification of Production Systems.- 3. The Central Importance of the Bottleneck.- 4. Elasticity, Lead-Time, On-Time Delivery.- 5. Understanding the Advantage of Lean Pull JIT Versus Push B&Q.- 6. Flexibility and the One-off Product Challenge of CPPS.- 7. Some Critical Considerations About Industry 4.0.- Epilogue.