Smart Factory Navigator: Identifying and Implementing the Most Beneficial Use Cases for Your Company--44 Use Cases That Will Drive Your Operational Performance and Digital Service Business
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer International Publishing AG
2022
|
| Ausgabe: | 1st ed |
| Schlagworte: | |
| Online-Zugang: | DE-2070s |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | 1 Online-Ressource (297 Seiten) |
| ISBN: | 9783031172540 |
Internformat
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| 245 | 1 | 0 | |a Smart Factory Navigator |b Identifying and Implementing the Most Beneficial Use Cases for Your Company--44 Use Cases That Will Drive Your Operational Performance and Digital Service Business |
| 250 | |a 1st ed | ||
| 264 | 1 | |a Cham |b Springer International Publishing AG |c 2022 | |
| 264 | 4 | |c ©2023 | |
| 300 | |a 1 Online-Ressource (297 Seiten) | ||
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| 500 | |a Description based on publisher supplied metadata and other sources | ||
| 505 | 8 | |a Intro -- Preface -- Contents -- About the Authors -- Abbreviations and Definitions -- List of Figures -- 1 Introduction -- References -- 2 Smart Factory Navigator -- 2.1 Smart Factory-The Future of Manufacturing -- 2.2 The Smart Factory Navigator Model -- 2.3 Human Centricity -- 2.4 Enabling Technologies -- References -- 3 Smart Factory Framework -- 3.1 Structure of the Use Cases -- 3.1.1 Process Stage -- 3.1.2 Maturity Level-Degree of Analytical Foresight -- 3.1.3 Technology Mapping -- 3.2 Base Use Cases -- 3.2.1 Use Case 01: Data Capturing -- 3.2.2 Use Case 02: Data Transmission -- 3.2.3 Use Case 03: Data Storage -- 3.2.4 Use Case 04: Information Visualization -- 3.3 Demand Management -- 3.3.1 Use Case 05: Demand Diagnostics -- 3.3.2 Use Case 06: Demand Prediction -- 3.3.3 Use Case 07: Autonomous Demand Forecast -- 3.4 Supply Chain Management and Sourcing -- 3.4.1 Use Case 08: End-To-End Performance Tracking -- 3.4.2 Use Case 09: Marketplace Platforms -- 3.4.3 Use Case 10: Sustainability and Carbon Footprint Tracking -- 3.4.4 Use Case 11: Digital Inventory Management -- 3.4.5 Use Case 12: Digital Picking Assistance -- 3.4.6 Use Case 13: Supply Chain Early Alert System -- 3.4.7 Use Case 14: Supply Chain Collaboration Platforms -- 3.4.8 Use Case 15: Autonomous Inventory Control -- 3.5 Production Scheduling -- 3.5.1 Use Case 16: Identification and Asset Tracking -- 3.5.2 Use Case 17: Shift Planning -- 3.5.3 Use Case 18: Production Network Configuration and Coordination Assistance -- 3.5.4 Use Case 19: Scheduling Assistance -- 3.5.5 Use Case 20: Scheduling Decision Support -- 3.5.6 Use Case 21: Autonomous Job Scheduling -- 3.6 Process Optimization -- 3.6.1 Use Case 22: Incident Database -- 3.6.2 Use Case 23: Incident Pattern Recognition -- 3.6.3 Use Case 24: Intelligent Performance Dashboard -- 3.6.4 Use Case 25: Process Mining | |
| 505 | 8 | |a 3.6.5 Use Case 26: Digital Twin -- 3.6.6 Use Case 27: Process Performance Prediction -- 3.6.7 Use Case 28: Optimal Process Parameter Identification -- 3.7 Use Case 29: Autonomous Process Optimization -- 3.8 Process Control -- 3.8.1 Use Case 30: Digital Shopfloor -- 3.8.2 Use Case 31: Low Batch Size Manufacturing -- 3.9 Use Case 32: Human-Centred Flexible Automation -- 3.9.1 Use Case 33: Digitally Guided Operations -- 3.9.2 Use Case 34: Autonomously Controlled Material Flow -- 3.9.3 Use Case 35: Autonomously Controlled Manufacturing/Assembly -- 3.10 Quality Management -- 3.10.1 Use Case 36: Fault Detection -- 3.10.2 Use Case 37: Quality Diagnostics -- 3.10.3 Use Case 38: Quality Prediction -- 3.10.4 Use Case 39: Autonomous Quality Management -- 3.11 Maintenance -- 3.11.1 Use Case 40: Remote Maintenance Assistance -- 3.11.2 Use Case 41: Condition Monitoring -- 3.11.3 Use Case 42: Failure Diagnostics -- 3.11.4 Use Case 43: Predictive Maintenance -- 3.11.5 Use Case 44: Autonomous Maintenance -- References -- 4 Smart Factory Implementation Process -- 4.1 Step 1: Selection of Promising Use Cases -- 4.2 Step 2: Classification in Potential and Complexity -- 4.3 Step 3: Adaption of the Use Case to a Company-Specific Context -- 4.4 Step 4: Creation of Personas for Each Use Case -- 4.5 Step 5: Project Setup -- 4.6 Step 6: Implementation First Project(s) -- 4.7 Step 7: Scaling and Internationalization -- References -- 5 Use Case Framework to Identify Digital Services for Commercialization -- 5.1 DS I: Identification of Customer Value -- 5.2 DS II: Quantification of Customer Value -- 5.3 DS III: Derivation of Pricing Options -- Reference -- 6 Learning from Case Studies and Outlook | |
| 650 | 4 | |a Production control | |
| 700 | 1 | |a Hänggi, Roman |e Sonstige |4 oth | |
| 700 | 1 | |a Friedli, Thomas |e Sonstige |4 oth | |
| 700 | 1 | |a Rüedy, Adrian |e Sonstige |4 oth | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |a Budde, Lukas |t Smart Factory Navigator |d Cham : Springer International Publishing AG,c2022 |z 9783031172533 |
| 912 | |a ZDB-30-PQE | ||
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-035212301 | |
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Datensatz im Suchindex
| _version_ | 1817704727933091840 |
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| adam_text | |
| any_adam_object | |
| author | Budde, Lukas |
| author_facet | Budde, Lukas |
| author_role | aut |
| author_sort | Budde, Lukas |
| author_variant | l b lb |
| building | Verbundindex |
| bvnumber | BV049872843 |
| collection | ZDB-30-PQE |
| contents | Intro -- Preface -- Contents -- About the Authors -- Abbreviations and Definitions -- List of Figures -- 1 Introduction -- References -- 2 Smart Factory Navigator -- 2.1 Smart Factory-The Future of Manufacturing -- 2.2 The Smart Factory Navigator Model -- 2.3 Human Centricity -- 2.4 Enabling Technologies -- References -- 3 Smart Factory Framework -- 3.1 Structure of the Use Cases -- 3.1.1 Process Stage -- 3.1.2 Maturity Level-Degree of Analytical Foresight -- 3.1.3 Technology Mapping -- 3.2 Base Use Cases -- 3.2.1 Use Case 01: Data Capturing -- 3.2.2 Use Case 02: Data Transmission -- 3.2.3 Use Case 03: Data Storage -- 3.2.4 Use Case 04: Information Visualization -- 3.3 Demand Management -- 3.3.1 Use Case 05: Demand Diagnostics -- 3.3.2 Use Case 06: Demand Prediction -- 3.3.3 Use Case 07: Autonomous Demand Forecast -- 3.4 Supply Chain Management and Sourcing -- 3.4.1 Use Case 08: End-To-End Performance Tracking -- 3.4.2 Use Case 09: Marketplace Platforms -- 3.4.3 Use Case 10: Sustainability and Carbon Footprint Tracking -- 3.4.4 Use Case 11: Digital Inventory Management -- 3.4.5 Use Case 12: Digital Picking Assistance -- 3.4.6 Use Case 13: Supply Chain Early Alert System -- 3.4.7 Use Case 14: Supply Chain Collaboration Platforms -- 3.4.8 Use Case 15: Autonomous Inventory Control -- 3.5 Production Scheduling -- 3.5.1 Use Case 16: Identification and Asset Tracking -- 3.5.2 Use Case 17: Shift Planning -- 3.5.3 Use Case 18: Production Network Configuration and Coordination Assistance -- 3.5.4 Use Case 19: Scheduling Assistance -- 3.5.5 Use Case 20: Scheduling Decision Support -- 3.5.6 Use Case 21: Autonomous Job Scheduling -- 3.6 Process Optimization -- 3.6.1 Use Case 22: Incident Database -- 3.6.2 Use Case 23: Incident Pattern Recognition -- 3.6.3 Use Case 24: Intelligent Performance Dashboard -- 3.6.4 Use Case 25: Process Mining 3.6.5 Use Case 26: Digital Twin -- 3.6.6 Use Case 27: Process Performance Prediction -- 3.6.7 Use Case 28: Optimal Process Parameter Identification -- 3.7 Use Case 29: Autonomous Process Optimization -- 3.8 Process Control -- 3.8.1 Use Case 30: Digital Shopfloor -- 3.8.2 Use Case 31: Low Batch Size Manufacturing -- 3.9 Use Case 32: Human-Centred Flexible Automation -- 3.9.1 Use Case 33: Digitally Guided Operations -- 3.9.2 Use Case 34: Autonomously Controlled Material Flow -- 3.9.3 Use Case 35: Autonomously Controlled Manufacturing/Assembly -- 3.10 Quality Management -- 3.10.1 Use Case 36: Fault Detection -- 3.10.2 Use Case 37: Quality Diagnostics -- 3.10.3 Use Case 38: Quality Prediction -- 3.10.4 Use Case 39: Autonomous Quality Management -- 3.11 Maintenance -- 3.11.1 Use Case 40: Remote Maintenance Assistance -- 3.11.2 Use Case 41: Condition Monitoring -- 3.11.3 Use Case 42: Failure Diagnostics -- 3.11.4 Use Case 43: Predictive Maintenance -- 3.11.5 Use Case 44: Autonomous Maintenance -- References -- 4 Smart Factory Implementation Process -- 4.1 Step 1: Selection of Promising Use Cases -- 4.2 Step 2: Classification in Potential and Complexity -- 4.3 Step 3: Adaption of the Use Case to a Company-Specific Context -- 4.4 Step 4: Creation of Personas for Each Use Case -- 4.5 Step 5: Project Setup -- 4.6 Step 6: Implementation First Project(s) -- 4.7 Step 7: Scaling and Internationalization -- References -- 5 Use Case Framework to Identify Digital Services for Commercialization -- 5.1 DS I: Identification of Customer Value -- 5.2 DS II: Quantification of Customer Value -- 5.3 DS III: Derivation of Pricing Options -- Reference -- 6 Learning from Case Studies and Outlook |
| ctrlnum | (ZDB-30-PQE)EBC7152957 (ZDB-30-PAD)EBC7152957 (ZDB-89-EBL)EBL7152957 (OCoLC)1353836541 (DE-599)BVBBV049872843 |
| dewey-full | 670.427 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 670 - Manufacturing |
| dewey-raw | 670.427 |
| dewey-search | 670.427 |
| dewey-sort | 3670.427 |
| dewey-tens | 670 - Manufacturing |
| discipline | Werkstoffwissenschaften / Fertigungstechnik |
| edition | 1st ed |
| format | Electronic eBook |
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| id | DE-604.BV049872843 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-06T15:18:33Z |
| institution | BVB |
| isbn | 9783031172540 |
| language | English |
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| owner_facet | DE-2070s |
| physical | 1 Online-Ressource (297 Seiten) |
| psigel | ZDB-30-PQE ZDB-30-PQE HWR_PDA_PQE |
| publishDate | 2022 |
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| record_format | marc |
| spelling | Budde, Lukas Verfasser aut Smart Factory Navigator Identifying and Implementing the Most Beneficial Use Cases for Your Company--44 Use Cases That Will Drive Your Operational Performance and Digital Service Business 1st ed Cham Springer International Publishing AG 2022 ©2023 1 Online-Ressource (297 Seiten) txt rdacontent c rdamedia cr rdacarrier Description based on publisher supplied metadata and other sources Intro -- Preface -- Contents -- About the Authors -- Abbreviations and Definitions -- List of Figures -- 1 Introduction -- References -- 2 Smart Factory Navigator -- 2.1 Smart Factory-The Future of Manufacturing -- 2.2 The Smart Factory Navigator Model -- 2.3 Human Centricity -- 2.4 Enabling Technologies -- References -- 3 Smart Factory Framework -- 3.1 Structure of the Use Cases -- 3.1.1 Process Stage -- 3.1.2 Maturity Level-Degree of Analytical Foresight -- 3.1.3 Technology Mapping -- 3.2 Base Use Cases -- 3.2.1 Use Case 01: Data Capturing -- 3.2.2 Use Case 02: Data Transmission -- 3.2.3 Use Case 03: Data Storage -- 3.2.4 Use Case 04: Information Visualization -- 3.3 Demand Management -- 3.3.1 Use Case 05: Demand Diagnostics -- 3.3.2 Use Case 06: Demand Prediction -- 3.3.3 Use Case 07: Autonomous Demand Forecast -- 3.4 Supply Chain Management and Sourcing -- 3.4.1 Use Case 08: End-To-End Performance Tracking -- 3.4.2 Use Case 09: Marketplace Platforms -- 3.4.3 Use Case 10: Sustainability and Carbon Footprint Tracking -- 3.4.4 Use Case 11: Digital Inventory Management -- 3.4.5 Use Case 12: Digital Picking Assistance -- 3.4.6 Use Case 13: Supply Chain Early Alert System -- 3.4.7 Use Case 14: Supply Chain Collaboration Platforms -- 3.4.8 Use Case 15: Autonomous Inventory Control -- 3.5 Production Scheduling -- 3.5.1 Use Case 16: Identification and Asset Tracking -- 3.5.2 Use Case 17: Shift Planning -- 3.5.3 Use Case 18: Production Network Configuration and Coordination Assistance -- 3.5.4 Use Case 19: Scheduling Assistance -- 3.5.5 Use Case 20: Scheduling Decision Support -- 3.5.6 Use Case 21: Autonomous Job Scheduling -- 3.6 Process Optimization -- 3.6.1 Use Case 22: Incident Database -- 3.6.2 Use Case 23: Incident Pattern Recognition -- 3.6.3 Use Case 24: Intelligent Performance Dashboard -- 3.6.4 Use Case 25: Process Mining 3.6.5 Use Case 26: Digital Twin -- 3.6.6 Use Case 27: Process Performance Prediction -- 3.6.7 Use Case 28: Optimal Process Parameter Identification -- 3.7 Use Case 29: Autonomous Process Optimization -- 3.8 Process Control -- 3.8.1 Use Case 30: Digital Shopfloor -- 3.8.2 Use Case 31: Low Batch Size Manufacturing -- 3.9 Use Case 32: Human-Centred Flexible Automation -- 3.9.1 Use Case 33: Digitally Guided Operations -- 3.9.2 Use Case 34: Autonomously Controlled Material Flow -- 3.9.3 Use Case 35: Autonomously Controlled Manufacturing/Assembly -- 3.10 Quality Management -- 3.10.1 Use Case 36: Fault Detection -- 3.10.2 Use Case 37: Quality Diagnostics -- 3.10.3 Use Case 38: Quality Prediction -- 3.10.4 Use Case 39: Autonomous Quality Management -- 3.11 Maintenance -- 3.11.1 Use Case 40: Remote Maintenance Assistance -- 3.11.2 Use Case 41: Condition Monitoring -- 3.11.3 Use Case 42: Failure Diagnostics -- 3.11.4 Use Case 43: Predictive Maintenance -- 3.11.5 Use Case 44: Autonomous Maintenance -- References -- 4 Smart Factory Implementation Process -- 4.1 Step 1: Selection of Promising Use Cases -- 4.2 Step 2: Classification in Potential and Complexity -- 4.3 Step 3: Adaption of the Use Case to a Company-Specific Context -- 4.4 Step 4: Creation of Personas for Each Use Case -- 4.5 Step 5: Project Setup -- 4.6 Step 6: Implementation First Project(s) -- 4.7 Step 7: Scaling and Internationalization -- References -- 5 Use Case Framework to Identify Digital Services for Commercialization -- 5.1 DS I: Identification of Customer Value -- 5.2 DS II: Quantification of Customer Value -- 5.3 DS III: Derivation of Pricing Options -- Reference -- 6 Learning from Case Studies and Outlook Production control Hänggi, Roman Sonstige oth Friedli, Thomas Sonstige oth Rüedy, Adrian Sonstige oth Erscheint auch als Druck-Ausgabe Budde, Lukas Smart Factory Navigator Cham : Springer International Publishing AG,c2022 9783031172533 |
| spellingShingle | Budde, Lukas Smart Factory Navigator Identifying and Implementing the Most Beneficial Use Cases for Your Company--44 Use Cases That Will Drive Your Operational Performance and Digital Service Business Intro -- Preface -- Contents -- About the Authors -- Abbreviations and Definitions -- List of Figures -- 1 Introduction -- References -- 2 Smart Factory Navigator -- 2.1 Smart Factory-The Future of Manufacturing -- 2.2 The Smart Factory Navigator Model -- 2.3 Human Centricity -- 2.4 Enabling Technologies -- References -- 3 Smart Factory Framework -- 3.1 Structure of the Use Cases -- 3.1.1 Process Stage -- 3.1.2 Maturity Level-Degree of Analytical Foresight -- 3.1.3 Technology Mapping -- 3.2 Base Use Cases -- 3.2.1 Use Case 01: Data Capturing -- 3.2.2 Use Case 02: Data Transmission -- 3.2.3 Use Case 03: Data Storage -- 3.2.4 Use Case 04: Information Visualization -- 3.3 Demand Management -- 3.3.1 Use Case 05: Demand Diagnostics -- 3.3.2 Use Case 06: Demand Prediction -- 3.3.3 Use Case 07: Autonomous Demand Forecast -- 3.4 Supply Chain Management and Sourcing -- 3.4.1 Use Case 08: End-To-End Performance Tracking -- 3.4.2 Use Case 09: Marketplace Platforms -- 3.4.3 Use Case 10: Sustainability and Carbon Footprint Tracking -- 3.4.4 Use Case 11: Digital Inventory Management -- 3.4.5 Use Case 12: Digital Picking Assistance -- 3.4.6 Use Case 13: Supply Chain Early Alert System -- 3.4.7 Use Case 14: Supply Chain Collaboration Platforms -- 3.4.8 Use Case 15: Autonomous Inventory Control -- 3.5 Production Scheduling -- 3.5.1 Use Case 16: Identification and Asset Tracking -- 3.5.2 Use Case 17: Shift Planning -- 3.5.3 Use Case 18: Production Network Configuration and Coordination Assistance -- 3.5.4 Use Case 19: Scheduling Assistance -- 3.5.5 Use Case 20: Scheduling Decision Support -- 3.5.6 Use Case 21: Autonomous Job Scheduling -- 3.6 Process Optimization -- 3.6.1 Use Case 22: Incident Database -- 3.6.2 Use Case 23: Incident Pattern Recognition -- 3.6.3 Use Case 24: Intelligent Performance Dashboard -- 3.6.4 Use Case 25: Process Mining 3.6.5 Use Case 26: Digital Twin -- 3.6.6 Use Case 27: Process Performance Prediction -- 3.6.7 Use Case 28: Optimal Process Parameter Identification -- 3.7 Use Case 29: Autonomous Process Optimization -- 3.8 Process Control -- 3.8.1 Use Case 30: Digital Shopfloor -- 3.8.2 Use Case 31: Low Batch Size Manufacturing -- 3.9 Use Case 32: Human-Centred Flexible Automation -- 3.9.1 Use Case 33: Digitally Guided Operations -- 3.9.2 Use Case 34: Autonomously Controlled Material Flow -- 3.9.3 Use Case 35: Autonomously Controlled Manufacturing/Assembly -- 3.10 Quality Management -- 3.10.1 Use Case 36: Fault Detection -- 3.10.2 Use Case 37: Quality Diagnostics -- 3.10.3 Use Case 38: Quality Prediction -- 3.10.4 Use Case 39: Autonomous Quality Management -- 3.11 Maintenance -- 3.11.1 Use Case 40: Remote Maintenance Assistance -- 3.11.2 Use Case 41: Condition Monitoring -- 3.11.3 Use Case 42: Failure Diagnostics -- 3.11.4 Use Case 43: Predictive Maintenance -- 3.11.5 Use Case 44: Autonomous Maintenance -- References -- 4 Smart Factory Implementation Process -- 4.1 Step 1: Selection of Promising Use Cases -- 4.2 Step 2: Classification in Potential and Complexity -- 4.3 Step 3: Adaption of the Use Case to a Company-Specific Context -- 4.4 Step 4: Creation of Personas for Each Use Case -- 4.5 Step 5: Project Setup -- 4.6 Step 6: Implementation First Project(s) -- 4.7 Step 7: Scaling and Internationalization -- References -- 5 Use Case Framework to Identify Digital Services for Commercialization -- 5.1 DS I: Identification of Customer Value -- 5.2 DS II: Quantification of Customer Value -- 5.3 DS III: Derivation of Pricing Options -- Reference -- 6 Learning from Case Studies and Outlook Production control |
| title | Smart Factory Navigator Identifying and Implementing the Most Beneficial Use Cases for Your Company--44 Use Cases That Will Drive Your Operational Performance and Digital Service Business |
| title_auth | Smart Factory Navigator Identifying and Implementing the Most Beneficial Use Cases for Your Company--44 Use Cases That Will Drive Your Operational Performance and Digital Service Business |
| title_exact_search | Smart Factory Navigator Identifying and Implementing the Most Beneficial Use Cases for Your Company--44 Use Cases That Will Drive Your Operational Performance and Digital Service Business |
| title_full | Smart Factory Navigator Identifying and Implementing the Most Beneficial Use Cases for Your Company--44 Use Cases That Will Drive Your Operational Performance and Digital Service Business |
| title_fullStr | Smart Factory Navigator Identifying and Implementing the Most Beneficial Use Cases for Your Company--44 Use Cases That Will Drive Your Operational Performance and Digital Service Business |
| title_full_unstemmed | Smart Factory Navigator Identifying and Implementing the Most Beneficial Use Cases for Your Company--44 Use Cases That Will Drive Your Operational Performance and Digital Service Business |
| title_short | Smart Factory Navigator |
| title_sort | smart factory navigator identifying and implementing the most beneficial use cases for your company 44 use cases that will drive your operational performance and digital service business |
| title_sub | Identifying and Implementing the Most Beneficial Use Cases for Your Company--44 Use Cases That Will Drive Your Operational Performance and Digital Service Business |
| topic | Production control |
| topic_facet | Production control |
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