Intelligent Manufacturing

✍ Scribed by Chao'an Lai

• Publisher: Springer
• Year: 2022
• Tongue: English
• Leaves: 356
• Category: Library

✦ Synopsis

This book introduces intelligent manufacturing system planning, design, and implementation, through the deep integration of the Internet, big data, artificial intelligence, and manufacturing process, to promote the transformation and upgrading of enterprises. This book shows the implementation of intelligent manufacturing process with 12 benchmarking enterprises, discusses the planning, implementation, and control of intelligent manufacturing system technology and method of theory, and analyzes the five hierarchies of intelligent manufacturing system, the five stages of life cycle, and five kinds of intelligent depth. The content can cultivate the reader's vocational ability to develop intelligent solutions and implementation based on complex, uncertain environment needs. This book will be interesting and useful to a wide readership in the various fields of management, information science, and engineering science.

✦ Table of Contents

Preface
Contents
1 Background, Basic Concepts and Methods
1.1 Inspiration Case: Huawei’s Comprehensive Cloud
1.2 The Introduction
1.3 Background
1.3.1 China’s Manufacturing Industry Environment
1.3.2 New Industrial Revolution
1.3.3 Next-Generation Manufacturing Model
1.4 Connotation and Goal of IM
1.4.1 Definition of IM
1.4.2 The Goal of IM
1.5 International Comparison and Experience Reference of IM
1.5.1 International Comparison of IM Strategies
1.5.2 Comparison of Reference Architecture of IM Model
1.6 IM Maturity Model
1.7 Implementation Guidelines for IM
1.7.1 Standards Lead and Specifications First
1.7.2 Lean Production and Foundation Strengthening
1.7.3 Unified Planning from Top to Bottom
1.7.4 Step-By-Step Implementation and Concerning the Order of Difficulty and Ease
1.7.5 Supporting from Head and Training of Staff
1.8 Practical Cases: GE and the Industrial Internet
References
2 System Level of Intelligent Manufacturing
2.1 Inspiration Case: Dongguan Tianxiang Clothing Company’s Integration of Informatization and Industrialization
2.2 The Introduction
2.3 Equipment Layer
2.4 Control Layer
2.4.1 Man–Machine Fusion
2.4.2 Control System
2.5 Workshop Layer
2.5.1 MES
2.5.2 APS
2.6 Factory Layer
2.6.1 PLM
2.6.2 ERP
2.6.3 SCM
2.7 Coordination Layer
2.7.1 Internal Coordination
2.7.2 Inter-enterprise Collaboration
2.8 Vertical Integration Through the Hierarchy
2.9 Practical Case: Production Execution Optimization Model of Chrysler Corporation
Reference
3 Life Cycle of Intelligent Manufacturing
3.1 Inspiration Case: The Tool Life Cycle Management of Huizhuan Company
3.2 The Introduction
3.3 Design and R&D
3.3.1 Development Trend
3.3.2 Business Model
3.4 Production and Manufacturing
3.4.1 Development Trend
3.4.2 Business Model
3.5 Logistics
3.5.1 Development Trend
3.5.2 Business Model
3.6 Sales
3.6.1 Development Trend
3.6.2 Business Model
3.7 Services
3.7.1 Development Trend
3.7.2 Business Model
3.8 End-to-End Integration Covering the Entire Product Life Cycle
3.9 Practical Cases: Product Service System—Based on the Cases of Four Enterprises
4 Intelligent Features of Intelligent Manufacturing
4.1 Inspiration Case: The Supply Chain Intelligence Service Platform of Guangzhou Pharmaceutical Co., LTD.
4.2 The Introduction
4.3 Five Levels of Intelligent Features
4.4 Resource Elements
4.4.1 Strategy and Organization
4.4.2 Employees
4.4.3 Production Equipment
4.4.4 Energy
4.5 Connectivity
4.5.1 Network Environment
4.5.2 Network Security
4.6 System Integration
4.6.1 Application Integration
4.6.2 System Security
4.7 Information Fusion
4.7.1 Data Fusion
4.7.2 Data Application
4.7.3 Data Security
4.8 Emerging Industries
4.8.1 Personalized Customization
4.8.2 Remote Operation and Maintenance
4.8.3 Network Collaborative Manufacturing and Horizontal Integration
4.9 Integration of Three Dimensions
4.10 Practical Cases: Haier’s “Integration of People and Orders” and the Internet Factory Ecosystem
Reference
5 Comprehensive Implementation Path of Intelligent Manufacturing
5.1 Inspiration Case: Toyota’s Lean Manufacturing
5.2 The Introduction
5.3 Planning Level (Level 1): System Planning and Production Improvement
5.3.1 System Planning
5.3.2 Lean Production
5.4 Specification Level (Level 2): Standardization and Digitization
5.4.1 Modular
5.4.2 Standardization
5.4.3 Automation
5.4.4 Digitalization and 3D Data Model
5.5 Integration Level (Level 3): Interconnection, Integration and Networking
5.5.1 Industrial Cloud Platform
5.5.2 Industrial Internet
5.5.3 Cyber-Physical System (CPS)
5.6 Optimization Level (Level 4): Big Data and Knowledge Management
5.6.1 Industrial Big Data
5.6.2 Knowledge Management
5.7 Leading Level (Level 5): Artificial Intelligence and Collaborative Innovation
5.7.1 Ecosystems
5.7.2 Artificial Intelligence
5.7.3 Intelligent Products
5.7.4 Intelligent Services
5.8 Practical Case: Midea Smart Factory
References
6 Future Research and Application Direction
6.1 Inspiration Case: Apple’s Next Generation Industry
6.2 The Introduction
6.3 Future Technology Trends of IM
6.3.1 New Generation of Artificial Intelligence
6.3.2 5G Communication Technology
6.3.3 Block Chain
6.3.4 Multi-material 3D Printing
6.4 Social Change and New Business Model
6.4.1 Social and Job Changes
6.4.2 Expansion of Industry Boundaries to New Industries
6.4.3 Enterprise Boundaries Disappear and Full-Channel Customer Experience
6.4.4 Decentralize End-to-End Products and Services
6.4.5 Third-Party Cloud Platforms and Freelancers
6.5 Technology Foresight for Industries Related to IM
6.5.1 Research Status of Industrial Technology Foresight at Home and Abroad
6.5.2 Development Status of Industrial Robot Industry
6.5.3 Technology Foresight for Industrial Robot
6.6 Practical Cases: Jinbaoli Cloud Monitoring Platform for Fine Chemical Industry
Reference
Correction to: Background, Basic Concepts and Methods
Correction to: Chapter 1 in: C. Lai Intelligent Manufacturing https://doi.org/10.1007/978-981-19-0167-61
Appendix Research and Evaluation Outline of Intelligent Manufacturing Level
A   Manufacturing Dimension
1   Design
2   Production
3   Logistics
4   Sales
5   Service
B   Intelligence Dimension
6   Resource Elements
7   Connectivity
8   System Integration
9   Information Fusion
10   Emerging Forms