Introduces simplicity to the manufacturing process
Guides the reader step by step by clear definition of objectives, algorithms and examples
Allows the reader to write his own production planning software
All-embracing manufacturing is a system that aims to dissolve the complexity of the manufacturing process and restore the inherent simplicity. It claims that production is very simple and flexible by nature. However, the complexity is a result of the production system approach which makes it rigid and therefore complex.
All-embracing manufacturing introduces flexibility to production planning, it eliminates constraints, bottlenecks, and disruptions automatically while it restores the simplicity. No decision is made ahead of time, but only at the time of execution. It introduces technology as dominant part of manufacturing. It is a computer oriented system that imitates human behavior i.e. practically as any of us behave in daily personal life.
1 Introduction
1 Introduction
1.1 Industrial Management
2 All-Embracing Manufacturing Technology
2.1 Human Emulation Examples
2.2 System Notions
2.3 All-Embracing Technology Concepts
3 All-Embracing Technology System Architecture
3.1 Basic System Files
3.2 Master Management: Management Information Generator
3.3 Production
4 Summary
2 Process Planning: Routing
1 Introduction
2 First Stage: Process Planning
2.1 Stage 1 Example
3 Second Stage: Transformation
3.1 Preliminary Resource Selection
3.2 Operation Transformation
3.3 Computational Method
4 Stage 3: Routing Generator
4.1 Definition of the Combinatorial Problem
4.2 General Matrix Solution
5 Conclusion
3 Production Module
1 Introduction
1.1 Traditional Approach
2 Production Management Strategy: Roadmap Manufacturing
2.1 Roadmap Notions
2.2 Production Planning
2.3 Stock Allocation Priority
2.4 Stock Allocation Method
2.5 Adjust Quantities
2.6 Capacity Planning: Resource Loading
2.7 Job Release for Execution
3 Shop Floor Control
3.1 Concept and Terminology
3.2 Algorithm and Terminology
3.3 Summary
4 Production Planning: Demonstration
1 Introduction
1.1 The Scenario
2 The Planning Steps
2.1 Determination of Stock Allocation Priorities
2.2 Stock Allocation
2.3 Capacity Planning: Resource Loading
2.4 Job Release for Execution
2.5 Shop Floor Control
5 Product Specifications and Design
1 Introduction
1.1 Product Design: Engineering Design
1.2 Design Goals: Task Specifications
1.3 Product Specifications Methods
1.4 Master Product Design System: Concept Design
1.5 Master Design System: Detail Design
1.6 Summary
6 Detail Design
1 Introduction
1.1 Assembly Steps
2 Assembly-Oriented Planning
2.1 Manual Assembly
2.2 Automatic Assembly
2.3 Robotic Assembly
2.4 Hybrid Automatic-Manual Assembly
3 Design Constraints for Assembly
3.1 Design Rules
3.2 Orientation
3.3 Fastening
4 Component Design for Placement
4.1 Component Which is Nearly Identical on Both Sides
4.2 Headed Fasteners
4.3 Components Design for Placement
5 Summary
7 Management Decision Support System
1 Introduction
2 Plant Performance Measurement
2.1 Resource Suitability to Products
2.2 Production Planning Performance Level
2.3 Shop Floor Performance Level
3 Resource Planning
3.1 Resource Recommendation Module
4 Maximum Profit Criterion of Process Planning Optimization
5 Determining a Process for Maximum Profit
5.1 First Stage
5.2 Second Stage
5.3 Third Stage
5.4 Testing the Algorithm
5.5 Summary of Maximum Profit
6 Determining Delivery Date and Cost
6.1 Generating Alternatives of Cost: Delivery Date: New Order
6.2 Summary
6.3 Chapter Summary
Index
1 Introduction.- 2 Process Planning: Routing.- 3 Production Module.- 4 Production Planning: Demonstration.- 5 Product Specifications and Design.- 6 Detail Design.- 7 Management Decision Support System.- Index.
Inhaltsverzeichnis
1 Introduction
1 Introduction
1.1 Industrial Management
2 All-Embracing Manufacturing Technology
2.1 Human Emulation Examples
2.2 System Notions
2.3 All-Embracing Technology Concepts
3 All-Embracing Technology System Architecture
3.1 Basic System Files
3.2 Master Management: Management Information Generator
3.3 Production
4 Summary
2 Process Planning: Routing
1 Introduction
2 First Stage: Process Planning
2.1 Stage 1 Example
3 Second Stage: Transformation
3.1 Preliminary Resource Selection
3.2 Operation Transformation
3.3 Computational Method
4 Stage 3: Routing Generator
4.1 Definition of the Combinatorial Problem
4.2 General Matrix Solution
5 Conclusion
3 Production Module
1 Introduction
1.1 Traditional Approach
2 Production Management Strategy: Roadmap Manufacturing
2.1 Roadmap Notions
2.2 Production Planning
2.3 Stock Allocation Priority
2.4 Stock Allocation Method
2.5 Adjust Quantities
2.6 Capacity Planning: Resource Loading
2.7 Job Release for Execution
3 Shop Floor Control
3.1 Concept and Terminology
3.2 Algorithm and Terminology
3.3 Summary
4 Production Planning: Demonstration
1 Introduction
1.1 The Scenario
2 The Planning Steps
2.1 Determination of Stock Allocation Priorities
2.2 Stock Allocation
2.3 Capacity Planning: Resource Loading
2.4 Job Release for Execution
2.5 Shop Floor Control
5 Product Specifications and Design
1 Introduction
1.1 Product Design: Engineering Design
1.2 Design Goals: Task Specifications
1.3 Product Specifications Methods
1.4 Master Product Design System: Concept Design
1.5 Master Design System: Detail Design
1.6 Summary
6 Detail Design
1 Introduction
1.1 Assembly Steps
2 Assembly-Oriented Planning
2.1 Manual Assembly
2.2 Automatic Assembly
2.3 Robotic Assembly
2.4 Hybrid Automatic-Manual Assembly
3 Design Constraints for Assembly
3.1 Design Rules
3.2 Orientation
3.3 Fastening
4 Component Design for Placement
4.1 Component Which is Nearly Identical on Both Sides
4.2 Headed Fasteners
4.3 Components Design for Placement
5 Summary
7 Management Decision Support System
1 Introduction
2 Plant Performance Measurement
2.1 Resource Suitability to Products
2.2 Production Planning Performance Level
2.3 Shop Floor Performance Level
3 Resource Planning
3.1 Resource Recommendation Module
4 Maximum Profit Criterion of Process Planning Optimization
5 Determining a Process for Maximum Profit
5.1 First Stage
5.2 Second Stage
5.3 Third Stage
5.4 Testing the Algorithm
5.5 Summary of Maximum Profit
6 Determining Delivery Date and Cost
6.1 Generating Alternatives of Cost: Delivery Date: New Order
6.2 Summary
6.3 Chapter Summary
Index
Klappentext
All-embracing manufacturing is a system that aims to dissolve the complexity of the manufacturing process and restore the inherent simplicity. It claims that production is very simple and flexible by nature. However, the complexity is a result of the production system approach which makes it rigid and therefore complex.
All-embracing manufacturing introduces flexibility to production planning, it eliminates constraints, bottlenecks, and disruptions automatically while it restores the simplicity. No decision is made ahead of time, but only at the time of execution. It introduces technology as dominant part of manufacturing. It is a computer oriented system that imitates human behavior i.e. practically as any of us behave in daily personal life.
Introduces simplicity to the manufacturing process
Guides the reader step by step by clear definition of objectives, algorithms and examples
Allows the reader to write his own production planning software
