Elements of Advanced Manufacturing Theory - Stöckli, Martin T.

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Résumé :
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.

Biographie:
B. R?ttimann: - 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 Z?rich) M. St?ckli - Dr. sc. techn. ETH Z?rich - Dipl. Masch.-Ing. ETH Z?rich - NDS BWI, ETH Z?rich - >20 years managerial experience in the automotive industry (Delphi Automotive Systems, IVECO, Schaffner, DUAP) - since 2009 head of inspire Academy (inspire AG) - since 2008 COO of inspire AG...

Sommaire:
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....