Artificial Intelligence and Lean Manufacturing:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer International Publishing AG
2022
|
| Ausgabe: | 1st ed |
| Schriftenreihe: | SpringerBriefs in Applied Sciences and Technology Series
|
| Schlagworte: | |
| Online-Zugang: | HWR01 |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | 1 Online-Ressource (95 Seiten) |
| ISBN: | 9783031045837 |
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| 505 | 8 | |a Intro -- Contents -- 1 Basics in Lean Management -- 1.1 Introduction -- 1.2 Basic Concepts of Lean Manufacturing -- 1.2.1 3M and Seven Wastes -- 1.2.2 5S -- 1.2.3 Toyota Production System (TPS) -- 1.2.4 Just in Time (JIT) -- 1.2.5 Total Productive Maintenance (TPM) -- 1.2.6 Kanbans -- 1.2.7 Spaghetti Diagram -- 1.2.8 Drum Buffer Rope (DBR) -- 1.2.9 Value Stream Map (VSM) -- 1.3 Evolution of Lean Manufacturing -- 1.4 Organization of This Book -- References -- 2 Artificial Intelligence in Manufacturing -- 2.1 Artificial Intelligence (AI) -- 2.1.1 Machine Intelligence -- 2.2 AI Applications in Manufacturing -- 2.2.1 Inductive Learning -- 2.2.2 Instance-Based Learning -- 2.2.3 Genetic Algorithms -- 2.2.4 Artificial Neural Networks -- 2.2.5 Bayesian Approaches -- 2.2.6 Fuzzy Logic -- 2.2.7 3D Printing -- 2.2.8 Random Forests -- 2.3 AI Applications in Lean Manufacturing -- 2.3.1 Motivation -- 2.3.2 Application Procedure -- 2.3.3 Current Practice and Problems -- 2.3.4 Examples -- 2.4 Considerations in Introducing AI into Lean Manufacturing -- References -- 3 AI Applications to Kaizen Management -- 3.1 Kaizen Activities in Lean Manufacturing -- 3.2 Leanness of a Manufacturing System -- 3.3 AI Applications to 5S -- 3.4 AI Applications to Predictive Maintenance -- 3.5 Cycle Time Reduction -- References -- 4 AI Applications to Pull Production, JIT, and Production Leveling -- 4.1 Introduction -- 4.2 AI Applications to Pull Production -- 4.2.1 Fuzzy Logic for Pull Production Under Uncertainty -- 4.2.2 Artificial Neural Networks for Cycle Time Estimation and Job Scheduling in Pull Production -- 4.3 AI Applications to JIT -- 4.3.1 3D Printing Applications to Lean Manufacturing -- 4.3.2 3D Printing and JIT -- 4.4 Production Leveling -- 4.4.1 Production Leveling Based on TAKT Time -- 4.4.2 Cloud Manufacturing Application to Production Leveling -- References | |
| 505 | 8 | |a 5 AI Applications to Shop Floor Management in Lean Manufacturing -- 5.1 Shop Floor Management -- 5.1.1 Introduction -- 5.1.2 Shop Floor Management in Lean Manufacturing -- 5.1.3 Necessity of Artificial Intelligence Applications in Shop Floor Management -- 5.2 AI Applications to Shop Floor Management in Lean Manufacturing -- 5.2.1 Lean Data -- 5.2.2 Lean Maintenance -- 5.2.3 Digitalized Kanbans -- 5.2.4 Machine Learning and Industry 4.0 Applications to Single-Minute Exchange of Die (SMED) -- 5.2.5 Genetic Programming for Determining the Number of Kanbans -- 5.3 Conclusions -- References | |
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Datensatz im Suchindex
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| author | Chen, Tin-Chih Toly |
| author_facet | Chen, Tin-Chih Toly |
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| author_sort | Chen, Tin-Chih Toly |
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| contents | Intro -- Contents -- 1 Basics in Lean Management -- 1.1 Introduction -- 1.2 Basic Concepts of Lean Manufacturing -- 1.2.1 3M and Seven Wastes -- 1.2.2 5S -- 1.2.3 Toyota Production System (TPS) -- 1.2.4 Just in Time (JIT) -- 1.2.5 Total Productive Maintenance (TPM) -- 1.2.6 Kanbans -- 1.2.7 Spaghetti Diagram -- 1.2.8 Drum Buffer Rope (DBR) -- 1.2.9 Value Stream Map (VSM) -- 1.3 Evolution of Lean Manufacturing -- 1.4 Organization of This Book -- References -- 2 Artificial Intelligence in Manufacturing -- 2.1 Artificial Intelligence (AI) -- 2.1.1 Machine Intelligence -- 2.2 AI Applications in Manufacturing -- 2.2.1 Inductive Learning -- 2.2.2 Instance-Based Learning -- 2.2.3 Genetic Algorithms -- 2.2.4 Artificial Neural Networks -- 2.2.5 Bayesian Approaches -- 2.2.6 Fuzzy Logic -- 2.2.7 3D Printing -- 2.2.8 Random Forests -- 2.3 AI Applications in Lean Manufacturing -- 2.3.1 Motivation -- 2.3.2 Application Procedure -- 2.3.3 Current Practice and Problems -- 2.3.4 Examples -- 2.4 Considerations in Introducing AI into Lean Manufacturing -- References -- 3 AI Applications to Kaizen Management -- 3.1 Kaizen Activities in Lean Manufacturing -- 3.2 Leanness of a Manufacturing System -- 3.3 AI Applications to 5S -- 3.4 AI Applications to Predictive Maintenance -- 3.5 Cycle Time Reduction -- References -- 4 AI Applications to Pull Production, JIT, and Production Leveling -- 4.1 Introduction -- 4.2 AI Applications to Pull Production -- 4.2.1 Fuzzy Logic for Pull Production Under Uncertainty -- 4.2.2 Artificial Neural Networks for Cycle Time Estimation and Job Scheduling in Pull Production -- 4.3 AI Applications to JIT -- 4.3.1 3D Printing Applications to Lean Manufacturing -- 4.3.2 3D Printing and JIT -- 4.4 Production Leveling -- 4.4.1 Production Leveling Based on TAKT Time -- 4.4.2 Cloud Manufacturing Application to Production Leveling -- References 5 AI Applications to Shop Floor Management in Lean Manufacturing -- 5.1 Shop Floor Management -- 5.1.1 Introduction -- 5.1.2 Shop Floor Management in Lean Manufacturing -- 5.1.3 Necessity of Artificial Intelligence Applications in Shop Floor Management -- 5.2 AI Applications to Shop Floor Management in Lean Manufacturing -- 5.2.1 Lean Data -- 5.2.2 Lean Maintenance -- 5.2.3 Digitalized Kanbans -- 5.2.4 Machine Learning and Industry 4.0 Applications to Single-Minute Exchange of Die (SMED) -- 5.2.5 Genetic Programming for Determining the Number of Kanbans -- 5.3 Conclusions -- References |
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| dewey-full | 658.5 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.5 |
| dewey-search | 658.5 |
| dewey-sort | 3658.5 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| discipline_str_mv | Wirtschaftswissenschaften |
| edition | 1st ed |
| format | Electronic eBook |
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| id | DE-604.BV049019481 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T22:13:39Z |
| indexdate | 2024-07-10T09:52:58Z |
| institution | BVB |
| isbn | 9783031045837 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034282388 |
| oclc_num | 1313479739 |
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| owner_facet | DE-2070s |
| physical | 1 Online-Ressource (95 Seiten) |
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| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | Springer International Publishing AG |
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| series2 | SpringerBriefs in Applied Sciences and Technology Series |
| spelling | Chen, Tin-Chih Toly Verfasser aut Artificial Intelligence and Lean Manufacturing 1st ed Cham Springer International Publishing AG 2022 ©2022 1 Online-Ressource (95 Seiten) txt rdacontent c rdamedia cr rdacarrier SpringerBriefs in Applied Sciences and Technology Series Description based on publisher supplied metadata and other sources Intro -- Contents -- 1 Basics in Lean Management -- 1.1 Introduction -- 1.2 Basic Concepts of Lean Manufacturing -- 1.2.1 3M and Seven Wastes -- 1.2.2 5S -- 1.2.3 Toyota Production System (TPS) -- 1.2.4 Just in Time (JIT) -- 1.2.5 Total Productive Maintenance (TPM) -- 1.2.6 Kanbans -- 1.2.7 Spaghetti Diagram -- 1.2.8 Drum Buffer Rope (DBR) -- 1.2.9 Value Stream Map (VSM) -- 1.3 Evolution of Lean Manufacturing -- 1.4 Organization of This Book -- References -- 2 Artificial Intelligence in Manufacturing -- 2.1 Artificial Intelligence (AI) -- 2.1.1 Machine Intelligence -- 2.2 AI Applications in Manufacturing -- 2.2.1 Inductive Learning -- 2.2.2 Instance-Based Learning -- 2.2.3 Genetic Algorithms -- 2.2.4 Artificial Neural Networks -- 2.2.5 Bayesian Approaches -- 2.2.6 Fuzzy Logic -- 2.2.7 3D Printing -- 2.2.8 Random Forests -- 2.3 AI Applications in Lean Manufacturing -- 2.3.1 Motivation -- 2.3.2 Application Procedure -- 2.3.3 Current Practice and Problems -- 2.3.4 Examples -- 2.4 Considerations in Introducing AI into Lean Manufacturing -- References -- 3 AI Applications to Kaizen Management -- 3.1 Kaizen Activities in Lean Manufacturing -- 3.2 Leanness of a Manufacturing System -- 3.3 AI Applications to 5S -- 3.4 AI Applications to Predictive Maintenance -- 3.5 Cycle Time Reduction -- References -- 4 AI Applications to Pull Production, JIT, and Production Leveling -- 4.1 Introduction -- 4.2 AI Applications to Pull Production -- 4.2.1 Fuzzy Logic for Pull Production Under Uncertainty -- 4.2.2 Artificial Neural Networks for Cycle Time Estimation and Job Scheduling in Pull Production -- 4.3 AI Applications to JIT -- 4.3.1 3D Printing Applications to Lean Manufacturing -- 4.3.2 3D Printing and JIT -- 4.4 Production Leveling -- 4.4.1 Production Leveling Based on TAKT Time -- 4.4.2 Cloud Manufacturing Application to Production Leveling -- References 5 AI Applications to Shop Floor Management in Lean Manufacturing -- 5.1 Shop Floor Management -- 5.1.1 Introduction -- 5.1.2 Shop Floor Management in Lean Manufacturing -- 5.1.3 Necessity of Artificial Intelligence Applications in Shop Floor Management -- 5.2 AI Applications to Shop Floor Management in Lean Manufacturing -- 5.2.1 Lean Data -- 5.2.2 Lean Maintenance -- 5.2.3 Digitalized Kanbans -- 5.2.4 Machine Learning and Industry 4.0 Applications to Single-Minute Exchange of Die (SMED) -- 5.2.5 Genetic Programming for Determining the Number of Kanbans -- 5.3 Conclusions -- References Lean manufacturing Wang, Yi-Chi Sonstige oth Erscheint auch als Druck-Ausgabe Chen, Tin-Chih Toly Artificial Intelligence and Lean Manufacturing Cham : Springer International Publishing AG,c2022 9783031045820 |
| spellingShingle | Chen, Tin-Chih Toly Artificial Intelligence and Lean Manufacturing Intro -- Contents -- 1 Basics in Lean Management -- 1.1 Introduction -- 1.2 Basic Concepts of Lean Manufacturing -- 1.2.1 3M and Seven Wastes -- 1.2.2 5S -- 1.2.3 Toyota Production System (TPS) -- 1.2.4 Just in Time (JIT) -- 1.2.5 Total Productive Maintenance (TPM) -- 1.2.6 Kanbans -- 1.2.7 Spaghetti Diagram -- 1.2.8 Drum Buffer Rope (DBR) -- 1.2.9 Value Stream Map (VSM) -- 1.3 Evolution of Lean Manufacturing -- 1.4 Organization of This Book -- References -- 2 Artificial Intelligence in Manufacturing -- 2.1 Artificial Intelligence (AI) -- 2.1.1 Machine Intelligence -- 2.2 AI Applications in Manufacturing -- 2.2.1 Inductive Learning -- 2.2.2 Instance-Based Learning -- 2.2.3 Genetic Algorithms -- 2.2.4 Artificial Neural Networks -- 2.2.5 Bayesian Approaches -- 2.2.6 Fuzzy Logic -- 2.2.7 3D Printing -- 2.2.8 Random Forests -- 2.3 AI Applications in Lean Manufacturing -- 2.3.1 Motivation -- 2.3.2 Application Procedure -- 2.3.3 Current Practice and Problems -- 2.3.4 Examples -- 2.4 Considerations in Introducing AI into Lean Manufacturing -- References -- 3 AI Applications to Kaizen Management -- 3.1 Kaizen Activities in Lean Manufacturing -- 3.2 Leanness of a Manufacturing System -- 3.3 AI Applications to 5S -- 3.4 AI Applications to Predictive Maintenance -- 3.5 Cycle Time Reduction -- References -- 4 AI Applications to Pull Production, JIT, and Production Leveling -- 4.1 Introduction -- 4.2 AI Applications to Pull Production -- 4.2.1 Fuzzy Logic for Pull Production Under Uncertainty -- 4.2.2 Artificial Neural Networks for Cycle Time Estimation and Job Scheduling in Pull Production -- 4.3 AI Applications to JIT -- 4.3.1 3D Printing Applications to Lean Manufacturing -- 4.3.2 3D Printing and JIT -- 4.4 Production Leveling -- 4.4.1 Production Leveling Based on TAKT Time -- 4.4.2 Cloud Manufacturing Application to Production Leveling -- References 5 AI Applications to Shop Floor Management in Lean Manufacturing -- 5.1 Shop Floor Management -- 5.1.1 Introduction -- 5.1.2 Shop Floor Management in Lean Manufacturing -- 5.1.3 Necessity of Artificial Intelligence Applications in Shop Floor Management -- 5.2 AI Applications to Shop Floor Management in Lean Manufacturing -- 5.2.1 Lean Data -- 5.2.2 Lean Maintenance -- 5.2.3 Digitalized Kanbans -- 5.2.4 Machine Learning and Industry 4.0 Applications to Single-Minute Exchange of Die (SMED) -- 5.2.5 Genetic Programming for Determining the Number of Kanbans -- 5.3 Conclusions -- References Lean manufacturing |
| title | Artificial Intelligence and Lean Manufacturing |
| title_auth | Artificial Intelligence and Lean Manufacturing |
| title_exact_search | Artificial Intelligence and Lean Manufacturing |
| title_exact_search_txtP | Artificial Intelligence and Lean Manufacturing |
| title_full | Artificial Intelligence and Lean Manufacturing |
| title_fullStr | Artificial Intelligence and Lean Manufacturing |
| title_full_unstemmed | Artificial Intelligence and Lean Manufacturing |
| title_short | Artificial Intelligence and Lean Manufacturing |
| title_sort | artificial intelligence and lean manufacturing |
| topic | Lean manufacturing |
| topic_facet | Lean manufacturing |
| work_keys_str_mv | AT chentinchihtoly artificialintelligenceandleanmanufacturing AT wangyichi artificialintelligenceandleanmanufacturing |