Verwandte Artikel zu Elements of Advanced Manufacturing Theory

Elements of Advanced Manufacturing Theory - Softcover

Rüttimann, Bruno G.; Stöckli, Martin T.

 
9783031020490: Elements of Advanced Manufacturing Theory

Inhaltsangabe

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.

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Über die Autorin bzw. den Autor

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

- NDS BWI, ETH Zürich

- >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

Von der hinteren Coverseite

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.

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