Kooperativer Bibliotheksverbund

UID:

Format: 1 Online-Ressource.

ISBN: 978-3-030-70516-9

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-70515-2

Language: English

Subjects: Engineering , Economics

Keywords: Klein- und Mittelbetrieb ; Industrie 4.0 ; Intelligente Fertigung ; Aufsatzsammlung

DOI: 10.1007/978-3-030-70516-9

URL: Volltext  (kostenfrei)

URL: Volltext  (kostenfrei)

Author information: Zsifkovits, Helmut E. 1960-

Author information: Matt, Dominik 1971-

UID:

Format: 1 Online-Ressource.

ISBN: 978-3-030-70516-9

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-70515-2

Language: English

Subjects: Engineering , Economics

Keywords: Klein- und Mittelbetrieb ; Industrie 4.0 ; Intelligente Fertigung ; Aufsatzsammlung

DOI: 10.1007/978-3-030-70516-9

URL: Volltext  (kostenfrei)

URL: Volltext  (kostenfrei)

Author information: Matt, Dominik, 1971-

Author information: Zsifkovits, Helmut E., 1960-

UID:

Format: 1 Online-Ressource.

ISBN: 978-3-030-70516-9

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-70515-2

Language: English

Subjects: Engineering , Economics

Keywords: Klein- und Mittelbetrieb ; Industrie 4.0 ; Intelligente Fertigung ; Aufsatzsammlung

DOI: 10.1007/978-3-030-70516-9

URL: Volltext  (kostenfrei)

URL: Volltext  (kostenfrei)

Author information: Zsifkovits, Helmut E. 1960-

Author information: Matt, Dominik 1971-

UID:

Format: 1 Online-Ressource

ISBN: 9783030705169

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-70515-2

Language: English

Subjects: Engineering , Economics

Keywords: Klein- und Mittelbetrieb ; Industrie 4.0 ; Intelligente Fertigung ; Aufsatzsammlung

DOI: 10.1007/978-3-030-70516-9

URL: Volltext  (kostenfrei)

URL: Volltext  (kostenfrei)

Author information: Zsifkovits, Helmut E. 1960-

Author information: Matt, Dominik 1971-

UID:

Format: 1 Online-Ressource.

ISBN: 978-3-030-70516-9

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-70515-2

Language: English

Subjects: Engineering , Economics

Keywords: Klein- und Mittelbetrieb ; Industrie 4.0 ; Intelligente Fertigung ; Aufsatzsammlung

DOI: 10.1007/978-3-030-70516-9

URL: Volltext  (kostenfrei)

URL: Volltext  (kostenfrei)

Author information: Zsifkovits, Helmut E. 1960-

Author information: Matt, Dominik 1971-

UID:

Format: 1 online resource (xxxiv, 429 pages) : , illustrations (some color)

ISBN: 3-030-70516-1

Content: This open access book addresses the practical challenges that Industry 4.0 presents for SMEs. While large companies are already responding to the changes resulting from the fourth industrial revolution , small businesses are in danger of falling behind due to the lack of examples, best practices and established methods and tools. Following on from the publication of the previous book 'Industry 4.0 for SMEs: Challenges, Opportunities and Requirements', the authors offer in this new book innovative results from research on smart manufacturing, smart logistics and managerial models for SMEs. Based on a large scale EU-funded research project involving seven academic institutions from three continents and a network of over fifty small and medium sized enterprises, the book reveals the methods and tools required to support the successful implementation of Industry 4.0 along with practical examples.

Note: Section I: Implementing Industry 4.0 for Smart Manufacturing in SMEs 1. Status of the Implementation of Industry 4.0 in SMEs and Framework for Smart Manufacturing 2. Computational Intelligence in the Context of Industry 4.0 3. AI and ML for Human-Robot Cooperation in Intelligent and Flexible Manufacturing 4. Industrial Assistance Systems to Enhance Human-Machine Interaction and Operator's Capabilities in Assembly Section II: Implementing Industry 4.0 for Smart Logistics in SMEs 5. Investigation of the Potential to Use Real-Time Data in Production Planning and Control of MTO Manufacturing Companies 6. Readiness Model for Integration of ICT and CPS for SMEs Smart Logistics 7. Automated Performance Measurement in Internal Logistics Systems 8. A Case Study: Industry 4.0 and Human Factors in SMEs Section III: Organizational and Management Models for Smart SMEs 9. Transition of SMEs Towards Smart Factories: Business Models and Concepts 10. Towards SME 4.0: The Impact of Industry 4.0 Technologies on SMEs' Business Models1 1. General Assessment of Industry 4.0 Awareness in South India A Precondition for Efficient Organization Models? 12. Implementation Strategies for SME 4.0: Insights on Thailand , English

Additional Edition: ISBN 3-030-70515-2

Language: English

UID:

Format: 1 online resource (449 pages)

ISBN: 9783030705169

Content: Intro -- Preface -- Acknowledgments -- About This Book/Project -- Contents -- Notes on Contributors -- List of Figures -- List of Tables -- Part I Implementing Industry 4.0 for Smart Manufacturing in SMEs -- 1 Status of the Implementation of Industry 4.0 in SMEs and Framework for Smart Manufacturing -- 1.1 Introduction -- 1.2 Status of Industry 4.0 Implementation in SMEs -- 1.2.1 Review of Literature on Industry 4.0 Implementation in SMEs -- 1.2.2 Summary on the Adoption of Industry 4.0 Technologies in SMEs -- 1.3 Framework and Guidelines for Smart Manufacturing in SMEs -- 1.3.1 Axiomatic Design Guidelines for Implementing Industry 4.0 in SMEs -- 1.3.2 Framework for Highly Adaptable and Smart Manufacturing in SMEs -- 1.3.3 Three-Stage Model for Implementing Industry 4.0 in SMEs -- 1.4 Industry 4.0+: An Outlook on Future Challenges for SMEs -- References -- 2 Computational Intelligence in the Context of Industry 4.0 -- 2.1 Introduction -- 2.2 Neural Networks -- 2.2.1 Fundamentals of Neural Networks -- 2.2.2 Use of Neural Networks in the Context of Industry 4.0 -- 2.3 Fuzzy Systems -- 2.3.1 Fundamentals of Fuzzy Systems -- 2.3.2 Use of Fuzzy Systems in the Context of Industry 4.0 -- 2.4 Evolutionary Computation -- 2.4.1 Fundamentals of Evolutionary Computation -- 2.4.2 Use of Evolutionary Computation in the Context of Industry 4.0 -- 2.5 Swarm Intelligence -- 2.5.1 Fundamentals of Swarm Intelligence -- 2.5.2 Use of Swarm Intelligence in the Context of Industry 4.0 -- 2.6 Artificial Immune Systems -- 2.6.1 Fundamentals of Artificial Immune Systems -- 2.6.2 Use of Artificial Immune Systems in the Context of Industry 4.0 -- 2.7 Big Data -- 2.8 Deep Learning -- 2.8.1 Fundamentals of Deep Learning -- 2.8.1.1 Autoencoders -- 2.8.1.2 Recurrent Neural Networks (RNN) -- 2.8.1.3 Convolutional Neural Networks (CNN).

Note: Description based on publisher supplied metadata and other sources

Additional Edition: ISBN 9783030705152

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030705152

Language: English

Keywords: Electronic books.

URL: lizenzpflichtig

URL: Click here to view book

UID:

Format: 1 online resource (449 pages)

ISBN: 9783030705169

Note: Intro -- Preface -- Acknowledgments -- About This Book/Project -- Contents -- Notes on Contributors -- List of Figures -- List of Tables -- Part I Implementing Industry 4.0 for Smart Manufacturing in SMEs -- 1 Status of the Implementation of Industry 4.0 in SMEs and Framework for Smart Manufacturing -- 1.1 Introduction -- 1.2 Status of Industry 4.0 Implementation in SMEs -- 1.2.1 Review of Literature on Industry 4.0 Implementation in SMEs -- 1.2.2 Summary on the Adoption of Industry 4.0 Technologies in SMEs -- 1.3 Framework and Guidelines for Smart Manufacturing in SMEs -- 1.3.1 Axiomatic Design Guidelines for Implementing Industry 4.0 in SMEs -- 1.3.2 Framework for Highly Adaptable and Smart Manufacturing in SMEs -- 1.3.3 Three-Stage Model for Implementing Industry 4.0 in SMEs -- 1.4 Industry 4.0+: An Outlook on Future Challenges for SMEs -- References -- 2 Computational Intelligence in the Context of Industry 4.0 -- 2.1 Introduction -- 2.2 Neural Networks -- 2.2.1 Fundamentals of Neural Networks -- 2.2.2 Use of Neural Networks in the Context of Industry 4.0 -- 2.3 Fuzzy Systems -- 2.3.1 Fundamentals of Fuzzy Systems -- 2.3.2 Use of Fuzzy Systems in the Context of Industry 4.0 -- 2.4 Evolutionary Computation -- 2.4.1 Fundamentals of Evolutionary Computation -- 2.4.2 Use of Evolutionary Computation in the Context of Industry 4.0 -- 2.5 Swarm Intelligence -- 2.5.1 Fundamentals of Swarm Intelligence -- 2.5.2 Use of Swarm Intelligence in the Context of Industry 4.0 -- 2.6 Artificial Immune Systems -- 2.6.1 Fundamentals of Artificial Immune Systems -- 2.6.2 Use of Artificial Immune Systems in the Context of Industry 4.0 -- 2.7 Big Data -- 2.8 Deep Learning -- 2.8.1 Fundamentals of Deep Learning -- 2.8.1.1 Autoencoders -- 2.8.1.2 Recurrent Neural Networks (RNN) -- 2.8.1.3 Convolutional Neural Networks (CNN). , 2.8.2 Use of Deep Learning in the Context of Industry 4.0 -- 2.9 Use of Computational Intelligence in Cyber-Physical Systems -- 2.10 Case Study: Industrial Parts Recognition by Convolutional Neural Networks for Assisted Assembly -- 2.10.1 Input Samples Generation from 3D Virtual Models -- 2.10.2 Identification of a Region of Interest for Recognition of Small Parts -- 2.10.3 Convolutional Network Transform Learning -- 2.10.4 Implementation into Devices for Assisted Assembly -- 2.10.4.1 Implementation into Embedded Devices -- 2.10.4.2 Implementation to VR/AR Devices -- 2.11 Discussion -- 2.12 Conclusion and Future Prospects -- References -- 3 AI and ML for Human-Robot Cooperation in Intelligent and Flexible Manufacturing -- 3.1 Introduction -- 3.2 Artificial Intelligence and Machine Learning -- 3.2.1 What's Artificial Intelligence? -- 3.2.2 What's Machine Learning? -- 3.2.3 What's the Relation Between Artificial Intelligence and Machine Learning? -- 3.3 Human-Robot Cooperation for Smart Manufacturing -- 3.3.1 CPS and Safety -- 3.3.2 Human-Robot Cooperation in Assembly -- 3.4 Conclusions -- References -- 4 Industrial Assistance Systems to Enhance Human-Machine Interaction and Operator's Capabilities in Assembly -- 4.1 Introduction -- 4.2 Theoretical Background -- 4.2.1 Industrial Assistance Systems -- 4.2.2 User Groups in Production -- 4.2.3 Importance of Human-Machine Interaction in Production -- 4.2.4 Relevance of Assistance Systems in Literature -- 4.3 Overview of Industrial Assistance Systems in Production -- 4.3.1 Sensorial Worker Assistance Systems -- 4.3.2 Physical Worker Assistance Systems -- 4.3.3 Cognitive Worker Assistance Systems -- 4.4 Discussion of Risks, Challenges, and Potential -- 4.5 Conclusion -- References -- Part II Implementing Industry 4.0 for Smart Logistics in SMEs. , 5 Investigation of the Potential to Use Real-Time Data in Production Planning and Control of Make to Order (MTO) Manufacturing Companies -- 5.1 Introduction -- 5.2 Problem Formulation -- 5.3 Related Work -- 5.4 Research Design/Methodology -- 5.5 Results and Discussion -- 5.5.1 Research Question 1 (RQ1): Comparative Evaluation of PPC Strategies -- 5.5.2 Research Question 2 (RQ2): Evaluation of Real-Time Data Usage within the PPC Strategies -- 5.6 Conclusions and Outlook -- References -- 6 Readiness Model for Integration of ICT and CPS for SMEs Smart Logistics -- 6.1 Introduction -- 6.2 Related Works -- 6.3 Readiness Model for Integration of ICT and CPS for Smart Logistics -- 6.4 Stages of Readiness -- 6.5 Readiness Process Areas -- 6.6 Conclusion and Outlook -- References -- 7 Automated Performance Measurement in Internal Logistics Systems -- 7.1 Introduction -- 7.2 Problem Formulation -- 7.3 Monitoring and Controlling-Enablers for High-Level Responsiveness and Systematic Planning -- 7.4 State-of-the-Art and Literature Review -- 7.5 Deduction of a Model for Availability and Performance Assessment -- 7.6 Discussion and Further Research Directions -- 7.7 Conclusions -- References -- 8 A Case Study: Industry 4.0 and Human Factors in SMEs -- 8.1 Introduction -- 8.2 Problem Formulation -- 8.3 Related Work -- 8.4 Learning and Learning Culture -- 8.5 A Case of Human Factors in Implementing New Technology -- 8.5.1 The Objective of Investigation: The Company 'Precision Machine Products, Inc.' (PMP) -- 8.5.2 The Project -- 8.5.3 The Human Factor -- 8.6 Conclusions and Outlook -- References -- Part III Organizational and Management Models for Smart SMEs -- 9 Transition of SMEs Towards Smart Factories: Business Models and Concepts -- 9.1 Introduction -- 9.2 Importance of Systems Approach in Transforming Organizations. , 9.3 Transition of SMEs Towards Platform-Based Business Models -- 9.3.1 A Quantitative Analysis of Platform-Based Business Models -- 9.3.2 A Qualitative Analysis of Platform-Based Business Models -- 9.3.3 Typical Features of Platform-Based Business Models -- 9.4 New Work Roles in Industry 4.0 Environment -- 9.5 Conclusions -- References -- 10 Toward SME 4.0: The Impact of Industry 4.0 Technologies on SMEs' Business Models -- 10.1 Introduction -- 10.2 Background -- 10.2.1 Industry 4.0 -- 10.2.2 Business Model -- 10.2.3 Small- and Medium-Sized Enterprises -- 10.3 Methodology -- 10.3.1 Literature Review Methodology -- 10.3.2 Contingency Analysis of the Literature Review Findings -- 10.3.3 Secondary Data Analysis Methodology -- 10.4 Results -- 10.4.1 Content Analysis of the Reviewed Papers -- 10.4.1.1 Overarching Trends in the Reviewed Papers -- 10.4.1.2 Business Model Building Blocks Modified by Industry 4.0 Implementation -- 10.4.1.3 Contingency Analysis of Industry 4.0 Technologies and Business Model Building Blocks -- 10.4.2 Secondary Data Analysis -- 10.5 Discussion and Conclusion -- Appendix I: 30 Sample SMEs -- References -- 11 General Assessment of Industry 4.0 Awareness in South India-A Precondition for Efficient Organization Models? -- 11.1 Introduction -- 11.2 Literature Review -- 11.3 Problem Description -- 11.4 Methodology -- 11.5 Results and Discussion -- 11.5.1 General Awareness, Age and Education -- 11.5.2 Expectations of Importance for SMEs -- 11.5.3 Living Conditions Effects Expectations -- 11.6 Conclusions -- References -- 12 Implementation Strategies for SME 4.0: Insights on Thailand -- 12.1 Introduction -- 12.2 Implementation Strategies for SMEs -- 12.2.1 Phase 1-Analysis -- 12.2.2 Phase 2-Development Plan -- 12.2.3 Phase 3-Implementation Strategies -- 12.3 Industry 4.0 Implementation in Thailand -- 12.4 Case Study-Thai Agritech SME. , 12.4.1 Business Idea of Agritech -- 12.4.2 Plant Factory-The Foresight of Agritech Business -- 12.4.3 Technology Blueprint Development-Plant Factory -- 12.4.4 Requirement of New Skills-Addressing SME 4.0 -- 12.4.5 Implementation Strategies for SME 4.0 -- 12.5 Discussion -- References -- Index.

Additional Edition: Print version: Matt, Dominik T. Implementing Industry 4. 0 in SMEs Cham : Springer International Publishing AG,c2021 ISBN 9783030705152

Language: English

Keywords: Electronic books.

URL: Click to View

UID:

Format: 1 online resource (xxxiv, 429 pages) : , illustrations (some color)

ISBN: 3-030-70516-1

Content: This open access book addresses the practical challenges that Industry 4.0 presents for SMEs. While large companies are already responding to the changes resulting from the fourth industrial revolution , small businesses are in danger of falling behind due to the lack of examples, best practices and established methods and tools. Following on from the publication of the previous book 'Industry 4.0 for SMEs: Challenges, Opportunities and Requirements', the authors offer in this new book innovative results from research on smart manufacturing, smart logistics and managerial models for SMEs. Based on a large scale EU-funded research project involving seven academic institutions from three continents and a network of over fifty small and medium sized enterprises, the book reveals the methods and tools required to support the successful implementation of Industry 4.0 along with practical examples.

Note: Section I: Implementing Industry 4.0 for Smart Manufacturing in SMEs 1. Status of the Implementation of Industry 4.0 in SMEs and Framework for Smart Manufacturing 2. Computational Intelligence in the Context of Industry 4.0 3. AI and ML for Human-Robot Cooperation in Intelligent and Flexible Manufacturing 4. Industrial Assistance Systems to Enhance Human-Machine Interaction and Operator's Capabilities in Assembly Section II: Implementing Industry 4.0 for Smart Logistics in SMEs 5. Investigation of the Potential to Use Real-Time Data in Production Planning and Control of MTO Manufacturing Companies 6. Readiness Model for Integration of ICT and CPS for SMEs Smart Logistics 7. Automated Performance Measurement in Internal Logistics Systems 8. A Case Study: Industry 4.0 and Human Factors in SMEs Section III: Organizational and Management Models for Smart SMEs 9. Transition of SMEs Towards Smart Factories: Business Models and Concepts 10. Towards SME 4.0: The Impact of Industry 4.0 Technologies on SMEs' Business Models1 1. General Assessment of Industry 4.0 Awareness in South India A Precondition for Efficient Organization Models? 12. Implementation Strategies for SME 4.0: Insights on Thailand , English

Additional Edition: ISBN 3-030-70515-2

Language: English

UID:

Format: 1 electronic resource (xxxiv, 429 pages) : , illustrations.

ISBN: 9783030705152 , 3030705153 , 9783030705183 , 3030705188 , 9783030705169 , 3030705161

Content: MACHINE-GENERATED SUMMARY NOTE: "This open access book addresses the practical challenges that Industry 4.0 presents for SMEs. While large companies are already responding to the changes resulting from the fourth industrial revolution, small businesses are in danger of falling behind due to the lack of examples, best practices and established methods and tools. Following on from the publication of the previous book 'Industry 4.0 for SMEs: Challenges, Opportunities and Requirements', the authors offer in this new book innovative results from research on smart manufacturing, smart logistics and managerial models for SMEs. Based on a large scale EU-funded research project involving seven academic institutions from three continents and a network of over fifty small and medium sized enterprises, the book reveals the methods and tools required to support the successful implementation of Industry 4.0 along with practical examples."

Note: MACHINE-GENERATED CONTENTS NOTE: Section I: Implementing Industry 4.0 for Smart Manufacturing in SMEs.-1. Status of the Implementation of Industry 4.0 in SMEs and Framework for Smart Manufacturing (Erwin Rauch, Dominik T. Matt).- 2. Computational Intelligence in the Context of Industry 4.0 (Alexander Hošovský, Ján Piteľ, Monika Trojanová, Kamil Židek).-3. AI and ML for Human-Robot Cooperation in Intelligent and Flexible Manufacturing (Manuel A. Ruiz Garcia, Erwin Rauch, Renato Vidoni, Dominik T. Matt).- 4. Industrial Assistance Systems to Enhance Human-Machine Interaction and Operator's Capabilities in Assembly (Benedikt G. Mark, Erwin Rauch, Dominik T. Matt).- Section II: Implementing Industry 4.0 for Smart Logistics in SMEs.-5. Investigation of the Potential to Use Real-Time Data in Production Planning and Control of MTO Manufacturing Companies (Manuel Woschank, Patrick Dallasega, Johannes A. Kapeller).-6. Readiness Model for Integration of ICT and CPS for SMEs Smart Logistics (Sakgasit Ramingwong, Lachana Ramingwong, Trasapong Thaiupathump, Rungchat Chompu-inwai).- 7. Automated Performance Measurement in Internal Logistics Systems (Chiara Raith, Manuel Woschank, Helmut Zsifkovits).- 8. A Case Study: Industry 4.0 and Human Factors in SMEs (Helmut Zsifkovits, Manuel Woschank, Corina Pacher).-Section III: Organizational and Management Models for Smart SMEs.-9. Transition of SMEs Towards Smart Factories: Business Models and Concepts (Vladimír Modrák, Zuzana Šoltysová).-10. Towards SME 4.0: The Impact of Industry 4.0 Technologies on SMEs' Business Models (Philipp C. Sauer, Guido Orzes, Laura Davi).-11. General Assessment of Industry 4.0 Awareness in South India - A Precondition for Efficient Organization Models? (Korrakot Tippayawong, Leoš Šafár, Jakub Sopko, Darya Dancaková, Manuel Woschank).-12. Implementation Strategies for SME 4.0: Insights on Thailand (Apichat Sopadang, Sakgasem Ramingwong, Tanyanuparb Anantana, Krisana Tamvimol).

Language: English

Keywords: Edited volumes ; Handbooks and manuals

DOI: 10.1007/978-3-030-70516-9

URL: FULL