Elements of Advanced Manufacturing Theory / by Bruno G. Rüttimann, Martin T. Stöckli
By: Rüttimann, Bruno G., autor
Contributor(s): Stockli, Martin T., autor
Material type:
E-bookPublisher: Cham : Springer International Publishing, 2022Edition: 1st edition 2022.Description: 1 recurso en línea (XV, 168 páginas) : 49 ilustraciones, 45 ilustraciones a color.ISBN: 9783031020476.Subject: Gestión de la producción
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | TS155 2022 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.28102087 |
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.
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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