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Elements of advanced manufacturing t...

Rüttimann, Bruno G.

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Elements of advanced manufacturing theory

Record Type:	Electronic resources : Monograph/item
Title/Author:	Elements of advanced manufacturing theory/ by Bruno G. Rüttimann, Martin T. Stöckli.
Author:	Rüttimann, Bruno G.
other author:	Stöckli, Martin T.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xv, 168 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Lean manufacturing. -
Online resource:	https://doi.org/10.1007/978-3-031-02047-6
ISBN:	9783031020476

Elements of advanced manufacturing theory
Rüttimann, Bruno G.

Elements of advanced manufacturing theory[electronic resource] /by Bruno G. Rüttimann, Martin T. Stöckli. - Cham :Springer International Publishing :2022. - xv, 168 p. :ill., digital ;24 cm.

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.

ISBN: 9783031020476

Standard No.: 10.1007/978-3-031-02047-6doiSubjects--Topical Terms:

1569573
Lean manufacturing.

LC Class. No.: TS155 / .R2 2022

Dewey Class. No.: 658.5

Elements of advanced manufacturing theory
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505 0 $a 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.
520 $a 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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