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Tables of Contents for Computational Intelligence in Design and Manufacturing
Chapter/Section Title
Page #
Page Count
Preface
xvii
 
Modern Manufacturing
1
30
Introduction
1
2
Integration
3
1
Robotics
4
1
Material Handling and Storage Technology
5
2
Material Handling Technology
5
1
Automated Storage Systems
6
1
Control Systems
7
1
Information Systems
7
4
Network Compatibility
7
1
Interface Standards
8
2
Intelligent Data Systems
10
1
Computational Intelligence
11
1
Impact of Manufacturing Technology
12
1
Product Life Cycle
12
1
Management
13
1
Human Dimension
13
1
Design of Modern Manufacturing Systems
13
9
Machining Systems
14
5
Assembly Systems
19
1
Process Planning for Assembly Systems
20
2
Organization and Product Evaluation Standards
22
1
The Future of Manufacturing Enterprises
23
8
Enterprise Attributes
23
1
Manufacturing Technology
24
2
References
26
1
Questions
26
1
Problems
26
5
Knowledge-Based Systems
31
38
Introduction
31
1
Knowledge Representation
31
7
First-Order Logic
32
1
Production Rules
33
1
Frames
34
3
Semantic Networks
37
1
Inference Engine
38
8
Basic Reasoning Strategies
38
3
Uncertainty in Rule Bases
41
3
Other Search Strategies
44
1
Depth-First and Breadth-First Search Strategies
44
1
Optimization and Knowledge-Based Systems
44
2
Knowledge Acquisition
46
1
Knowledge Consistency
47
14
Detection of Anomaly Rules with Simple Action Clauses
50
4
Grouping Rules with Compound Condition and Action Clauses
54
3
Inference Anomalies in Rule Bases
57
4
Summary
61
8
References
62
1
Questions
62
1
Problems
63
6
Features in Design and Manufacturing
69
20
Introduction
69
2
Fundamentals of Requirements, Features, and Functions
71
4
Requirement Space
71
1
Fundamentals of Features
71
1
Classification of Feature-Related Functions
72
1
Mapping of Requirements and Functions
73
1
Relations
73
2
Function Relations
75
6
Problem Statement
75
1
Classification of Function Relations
76
1
Representation Scheme for Function Relations
77
1
Representation of Explicit Function Relations
77
2
Representation of Implicit Function Relations
79
2
Feature Relations
81
4
Basic Concepts
81
1
Graph Representation of Feature Relations
82
1
Geometry Relations
82
2
Precision Relations
84
1
Matrix Representation of Feature Relations
84
1
Geometry Relations
84
1
Representation of Function-Feature Relations
85
2
Summary
87
2
References
87
1
Questions
88
1
Problems
88
1
Reason Maintenance in Product Modeling
89
21
Introduction
89
2
Product Modeling
91
4
Truth-Maintained Multiple Worlds
95
2
Model Synthesis
97
5
Model Analysis
102
4
Discussion
106
1
Summary
107
3
References
107
1
Questions
108
1
Problems
109
1
Process Planning
110
46
Introduction
110
1
Phases of Process Planning
111
1
Interpreation of Part Design Data
112
7
Feature-Based Part Modeling
112
2
Syntactic Pattern Recognition
114
1
State Transition Diagrams
115
1
Decomposition Approach
115
1
Knowledge-Based Approach
116
1
Constructive Solid Geometry Approach
116
1
Graph-Based Approach
116
3
Selection of Processes
119
1
Selection of Machines, Tools, and Fixtures
120
1
Process Optimization
121
3
Single-Pass Model
121
2
Multipass Model
123
1
Decomposition of Material Volume to be Removed
124
1
Selection of Manufacturing Features
125
3
Generation of Precedence Constraints
128
1
Sequencing Manufacturing Features
129
2
Object-Oriented System for Process Planning
131
9
Part Modeling and Generation of Elementary Manufacturing Features
132
3
Grouping Elementary Manufacturing Features
135
2
Selection of Manufacturing Features
137
2
Generation of Precedence Constraints and Sequencing Machining Features
139
1
Process Planning Shell
140
8
Process Planning Domain
141
1
Part Description Language
141
4
System Architecture
145
1
Knowledge Organization
145
2
Reasoning Mechanism
147
1
Summary
148
8
Appendix: Model Listing for Example 5.1
148
1
References
149
2
Questions
151
1
Problems
151
5
Setup Reduction
156
24
Introduction
156
2
Characteristics of Setup Activities
158
2
Scheduling Model
160
6
Example of Scheduling Setup Activities
160
3
Project Scheduling Model
163
3
Minimizing Internal Setup Time
166
6
Setup Scheduling Model
166
5
Model Extensions
171
1
Computational Experience
172
5
Numerical Example
172
4
Comparative Analysis of Models
176
1
Summary
177
3
References
177
2
Questions
179
1
Problems
179
1
Production Planning and Scheduling
180
65
Production Planning
180
12
Manufacturing Resource Planning
180
5
Processing Frequency
185
1
MRP Nervousness
185
2
Optimized Production Technology System
187
1
Just-in-Time System
188
2
Kanban System Concept
190
1
Kanban Rules
191
1
Capacity Balancing
192
5
Assembly Line Balancing
197
2
Manufacturing Scheduling
199
32
Scheduling n Operations on a Single Machine
201
1
Scheduling Flexible Forging Machine
202
1
Features of Flexible Forging Machine Scheduling Model
203
1
Model without Precedence Constraints
204
4
Model with Precedence Constraints
208
3
Two-Machine Flowshop Model
211
2
Two-Machine Job Shop Model
213
1
Special Case of Three-Machine Flow Shop Model
214
1
Scheduling Model for m Machines and n Operations
215
8
Heuristic Scheduling of Multiple Resources
223
5
Resource-Based Scheduling Rule
228
3
Rescheduling
231
1
Summary
231
14
Appendix: Integer Programming Formulation of the Problem in Example 7.6
232
1
References
233
2
Questions
235
1
Problems
235
10
Kanban Systems
245
27
Introduction
245
11
Operations Principles
246
1
Kanban Functions
246
1
Kanban Types
247
1
Auxiliary Equipment
247
1
Kanban Operations
248
1
Kanban Control
249
1
Production Line
249
3
Receiving Area
252
1
Determining the Number of Kanbans
253
2
Kanban System Adjustments
255
1
Modeling Kanban Systems
256
1
Basic Kanban Models
256
1
Control Approaches
257
1
Scheduling Approaches
257
1
Comparing Kanban Systems with Other Systems
257
1
Modified Kanban Systems
257
6
Constant Work-in-Process Model
258
1
Generic Kanban System
259
2
Modified Kanban System for Semiconductor Manufacturing
261
1
Integrated Push--Pull Manufacturing Strategy
261
1
Periodic Pull System
262
1
Case Study
263
1
Summary
263
9
References
264
5
Questions
269
1
Problems
270
2
Selection of Manufacturing Equipment
272
22
Design of Manufacturing Systems
272
2
Manufacturing Equipment Selection
272
1
Machine Cell Formation
273
1
Machine Layout
273
1
Machine Cell Layout
274
1
Selection of Machines and Material Handling Equipment
274
5
Machine Selection
274
2
Selection of Machines and Material Handling Systems
276
2
Special Case of the Equipment Selection Model
278
1
Selection of Manufacturing Resources Based on Process Plans
279
8
Model Background
280
2
Integer Programming Model
282
2
Construction Algorithm
284
3
Summary
287
7
Input File of Example 9.2
287
1
Input File of Example 9.5
288
1
References
289
1
Questions
290
1
Problems
290
4
Group Technology
294
53
Introduction
294
2
Visual Method
295
1
Coding Method
295
1
Cluster Analysis Method
296
20
Matrix Formulation
297
3
Similarity Coefficient Methods
300
1
Sorting-Based Algorithms
301
1
Cluster Identification Algorithm
302
3
Extended CI Algorithm
305
5
Mathematical Programming Formulation
310
1
The p-Median Model
311
2
Generalized p-Median Model
313
2
Innovative Applications of Group Technology
315
1
Data Mining
316
1
Branching Algorithms
316
17
Assignment of Parts to the Existing Machine Cells
333
3
Summary
336
11
Model Listing for Example 10.4
337
1
Model Listing for Example 10.5
338
3
References
341
1
Questions
342
1
Problems
343
4
Neural Networks
347
35
Introduction
347
3
Neural Networks versus Other Intelligent Approaches
350
3
Knowledge-Based Systems
350
2
Fuzzy-Logic-Based Systems
352
1
Learning
353
5
Learning Rules
355
2
Learning by Analogy
357
1
Learning by Induction
357
1
Back-Propagation Neural Network
358
9
Back-Propagation Learning
359
3
Back-Propagation Learning Algorithm
362
5
Self-Learning Neural Network
367
8
ART Neural Network
367
3
Vigilance in ART Network
370
1
Learning in ART Network
371
3
Computational Experience
374
1
Summary
375
7
References
377
2
Questions
379
1
Problems
379
3
Layout of Machines and Facilities
382
30
Introduction
382
1
Single-Row Machine Layout
383
7
Double-Row Machine Layout
390
9
Multirow Facility and Machine Layout
399
5
Quadratic Assignment Model
399
3
CRAFT Algorithm
402
2
Summary
404
8
References
404
1
Questions
405
1
Problems
405
7
Inventory Space Allocation
412
16
Introduction
412
1
Related Models
412
1
Space Allocation Model
413
2
Basic Model
413
2
Model Formulation
415
10
Definitions
415
1
System Description
416
1
Case Study Objective
416
3
Constructing the Space Allocation Model
419
2
Solving the Space Allocation Model
421
4
Summary
425
3
References
426
1
Questions
427
1
Problems
427
1
Layout of a Warehouse
428
20
Introduction
428
1
Related Literature
429
1
Procedure for Warehouse Layout
430
8
Class-Based Storage Rationale
430
1
Computatinal Procedure
431
1
The Procedure
431
7
Pallet Storage and Retrieval System Case Study
438
7
Case Study Background
438
2
Application of the Computational Procedure
440
2
Computational Results
442
1
Comparison of Existing and Proposed Designs
442
3
Results
445
1
Summary
445
3
References
446
1
Questions
447
1
Problems
447
1
Design for Agility
448
31
Introduction
448
1
Design Rules
449
21
Rule 1 (Modular Design): Decomposing a Complex System into Several Independent Units
449
3
Rule 2: Designing a Product with Robust Scheduling Characteristics
452
2
Designing and Scheduling an Assembly Line
454
2
Algorithm for Designing and Scheduling Assembly Lines
456
3
Robust Characteristics
459
1
Rule 3: Streamlining the Flow of Products in an Assembly Line
460
1
Scheduling a Streamlined Assembly Line
460
1
Designing a Streamlined Assembly Line
460
6
Rule 4: Reduce the Number of Stations in an Assembly Line
466
1
Development of Design Approaches for Short Lines
467
3
Product Differentiation
470
4
Delayed Product Differentiation
470
1
Early Product Differentiation
471
2
Manufacturing Performance and the Design of Products
473
1
Summary
474
5
References
475
2
Questions
477
1
Problems
477
2
Supplier Evaluation
479
19
Introduction
479
1
Key Characteristics of the Supplier--Customer Relationship
480
3
Information Collection Process
480
1
Key Characteristics
481
1
Importance of Characteristics
482
1
Potential for Evaluating Characteristics
482
1
Discussion
482
1
Building a Comprehensive Model
483
3
Supplier Capabilities
483
1
Past Performance
484
1
Engineering Capabilities
484
1
Manufacturing Capabilities
484
1
Management Capabilities
484
1
Price
485
1
Environmental Awareness
486
1
Supplier Rating Matrices
486
4
Technology Life-Cycle/Supplier Capability Matrix
486
2
Relationship Life-Cycle/Supplier Capability Matrix
488
1
Supplier Rating Matrix
489
1
System Implementation
490
4
Tool for Commodity Teams
490
1
Supplier Evaluation
490
1
Source Selection
491
1
Monitoring the Progress of a Supplier--Customer Alliance
492
1
Bulletin Board
493
1
Intelligent Supplier Evaluation System
493
1
Summary
494
4
Appendix: Key Characteristics of the Supplier--Customer Relationship
495
1
References
496
1
Questions
497
1
Problems
497
1
Data Mining
498
31
Introduction
498
1
Background and Definitions
499
2
Reduct Generation Algorithm
501
3
Feature Extraction Algorithm
504
7
Integer Number Case
505
2
Real Number Case
507
4
Feature Extraction Model
511
7
Integer Programming Formulation
511
1
Equal-Weight Case
512
2
Unequal-Weight Case
514
3
Discussion
517
1
Decision Making
518
1
Data Farming
519
3
Summary
522
7
Input Data and Corresponding o-Reducts
522
2
Input File of Example 17.4
524
1
References
524
2
Questions
526
1
Problems
526
3
Index
529