Handbook of expert systems in manufacturing:
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
New York u.a.
McGraw-Hill
1991
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Literaturangaben |
| Beschreibung: | XXII, 561 S. graph. Darst. |
| ISBN: | 0070409846 |
Internformat
MARC
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| 245 | 1 | 0 | |a Handbook of expert systems in manufacturing |c Rex Maus ..., eds. |
| 264 | 1 | |a New York u.a. |b McGraw-Hill |c 1991 | |
| 300 | |a XXII, 561 S. |b graph. Darst. | ||
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| 650 | 4 | |a Datenverarbeitung | |
| 650 | 4 | |a Expert systems (Computer science) | |
| 650 | 4 | |a Production engineering |x Data processing | |
| 650 | 4 | |a Production management |x Data processing | |
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Datensatz im Suchindex
| _version_ | 1804118877507944448 |
|---|---|
| adam_text | Contents
Prefacp xxi
Section 1 Introduction to Expert Systems
Chapter 1. Introduction to Expert Systems 3
Introduction 3
Technology and Manufacturing 4
Manufacturing Activities 6
Author Biographical Data 7
Chapter 2. Artificial Intelligence and Expert Systems:
A Technological Primer 8
Introduction 8
Artificial Intelligence—From the Laboratory to Reality 8
What Is Artificial Intelligence? 9
Domains of Artificial Intelligence 9
The Human Expert 10
Expert Systems—Electronic Decision Makers 12
Conventional Systems and Expert Systems—A Comparison 12
Anatomy of an Expert System 14
The Inference Engine 14
The Knowledge Base 15
The Developer Interface 16
The Explanation Subsystem 16
The User Interface 17
Working Memory 17
Benefits From Using Expert Systems 17
Types of Expert Systems 20
Languages and Tools 21
How Expert Systems Are Used 22
Conclusion 22
Author Biographical Data 22
vii
viii Contents
Chapter 3. Some Facts About Expert Systems 23
Introduction 23
Determining the Level of Expert System Complexity 24
Why Expert Systems Fail 25
Eight Steps to a Managed Project 27
Maintaining the Expert System 40
A Well Managed Project 41
Author Biographical Data 41
Chapter 4. Manufacturing Survey 42
Introduction 42
Welding 44
Real Time Process Diagnostics 45
Allocation, Scheduling, and Planning 47
Configuration 51
Inventory Control 52
CAE/CAD 53
Design 53
Conclusion 55
Author Biographical Data 55
Section 2 Integration of Al Into Manufacturing
Chapter 5. Integrating Knowledge Based Systems in the
Manufacturing Environment 58
Introduction 58
NOEMIE: Computer Hardware and Software Configuration 60
The Business Challenge 60
The Solution 62
The Approach 63
Results 63
MSDS: Material Safety Data Sheet Generation 64
The Business Challenge 65
The Solution 65
The Approach 66
The Results 66
Product Manager s Workbench: Packaging Design 67
The Business Challenge 67
The Solution 68
The Approach 70
The Results 71
CHROMA: Process Monitoring and Diagnostics 71
The Business Challenge 71
The Solution 72
Contents ix
The Approach 72
Results 73
Conclusions 74
Acknowledgments 75
References 75
Author Biographical Data 76
Chapter 6. Data Based Systems and Knowledge Based Systems 77
Introduction 77
Some Background 78
Data, Knowledge, and Information 78
Data Based vs. Knowledge Based Systems: The Impact of Decision
Knowledge on Information Processing 80
Application Areas 80
An Application Example—EDNA 82
Material Codes 84
Computer Based Synergy 85
Other Applications 86
Conclusion 87
Author Biographical Data 87
Chapter 7. Workstation Integration of Expert Systems, Neural
Networks, Image Processing, and Controls 89
Introduction 89
Technology Background 90
Applications Require Technology Integration 91
A Comparison of Neural Networks and Expert System Technology 92
Artificial Intelligence Laboratory 95
Integration Considerations 96
Potential Manufacturing Applications 98
Integrated Al Workstation 98
The Prototype Applications 102
Sputter Coating 102
Conclusions and Recommendations 106
Author Biographical Data 107
Section 3 Knowledge Engineering in a Manufacturing
Environment
Chapter 8. Knowledge Acquisition Issues in Manufacturing 110
Introduction 110
Conclusion 113
Author Biographical Data 114
I
x Contents
Chapter 9. Organization of Knowledge for an Expert System:
The Step Betweeen Acquisition and Representation of Knowledge 115
Introduction 115
The Crawford Slip Method (CSM) 116
How to Begin 116
Planning and Scoping the Proposed Expert System 118
CSM and HIPO 119
The CSM and the Story Board 121
Creating a Prototype 122
CSM and Interviews With Personnel 122
Working From Documentation ¦
Organizing Information 124
Other Sorting Methods Using CSM Slips 125
Conclusion 126
Author Biographical Data 126
Section 4 Scheduling and Forecasting
Chapter 10. Knowledge Based Dynamic Scheduling in a Steel Plant 130
Introduction 13°
The Steel Making Process 131
The Problem 132
The Simplified Problem 135
The Human Approach 139
The Expert System Approach 14°
The Method of Attack 141
Discussion of the Algorithm 142
Initialization 143
Conclusion 145
Author Biographical Data 15°
Chapter 11. Managing Complexity: Al in Batch Plant Scheduling 152
Introduction 152
Multiple Variables 154
Scheduling Incentives 155
Solution Systems Overview 157
LP Technology 157
Dynamic Programming 158
Statistical Methods and Queuing Theory 158
Artificial Intelligence 159
Technique Comparison 159
Traditional OR Tools 162
Al Methods 1«8
Modeling 168
Contents xi
The Flow of Information 172
Uniting the Solutions 174
Integrated Al 175
Distributed Al 175
Time Critical Al 175
Scheduling Techniques 176
Advanced Computing Technology 176
Conclusion 177
Author Biographical Data 178
Chapter 12. LA Z BOY Implements Manufacturing and Shipping
Scheduler 179
Introduction 179
It Starts With the Production Schedulers 180
Taking Advantage of the Mainframe 181
Moving Toward the Knowledge Based 182
KBMS Clarifies Manufacturing/Shipping Connection 183
Maximum Truckloads 185
Additional Benefits 186
Author Biographical Data 189
Chapter 13. Forecasting Demand for Manufacturing and Deployment 190
Introduction 190
Model Base Development 192
Deseasonalization of the Time Series 193
Baseline and Trend Estimation 193
Optimal Filtering Procedures 193
Analysis of Factor Effects 194
Multiple Regression 194
The Role of Expert Systems 195
Statistical Procedure Selection for Forecast Generation 195
Diagnostic Assessments for Model Correction 195
Expert Help for Use of System 196
Expert Corrections to Model for Subjective and Other Factors 196
Conclusion 197
Author Biographical Data 198
Chapter 14. CHRONOS: Facilities Management 199
Introduction 199
How Is the Job Done Today? 200
Object Oriented Analysis 201
How Can Facilities Management Be Simplified Or Done Better? 202
How Is the New System To Be Implemented? 202
How Can It Be Computerized ? 202
What Design Is Best? 203
xii Contents
Rules of Thumb Regarding Requirements 203
How Are Participants Involved in the New System Trained? 203
Conclusion 204
CHRONOS: A Real Time Expert System Tool 204
Author Biographical Data 208
Chapter 15. Expert Simulation for On Line Scheduling 209
Introduction 209
Expert Simulation for On Line Scheduling 210
Expert Systems Approach 211
Simulation Concepts 216
Application 218
Advantages/Disadvantages 220
Conclusion 222
References 222
Author Biographical Data 223
Section 5 Simulation, Process Modeling, and Resource
Allocation
Chapter 16. Intelligent Simulation: The New Generation of Expert
Systems 227
Introduction 227
Object Oriented Simulation Versus Traditional Simulation 229
I SIM in a Chemical Engineering Environment 232
Overview of Applications of ISIM 234
ISIM Support Features for Process Manufacturing 236
Benefits 237
Conclusion 237
Author Biographical Data 238
Chapter 17. Object Oriented Knowledge Based Approach to
Process Modeling 239
Introduction 239
Traditional Modeling Methods 241
Expert Systems in Statistical Modeling 242
Anatomy of intelligent Statistical Process Analyzer 243
The Model Development Algorithm 245
System Implementation 246
System Application 247
Control Extensions 248
Conclusion 248
Author Biographical Data 249
Contents xili
Chapter 18. Randomized Heuristic Search Approach to Cutting
Stock Problems 251
Introduction 251
Summary of the Method 252
Application of the Method to Paper Mill 253
Goals and Constraints 254
Method Description 255
Goal Identifier 256
Goal Selector 256
Adapter 257
Reducer 257
Numerical Example 259
Conclusions 264
Acknowledgment 265
References 265
Author Biographical Data 265
Section 6 Diagnostics
Chapter 19. A Fault Tolerant Neural Network Applied to
Nondestructive Inspection 269
Introduction 269
Neural Networks 270
Smart Structures: How to Monitor the Maintenance Health
of Machinery 273
Introduction to Continuous Monitoring 274
General Schematic of a Smart Structure Application 274
Fault Tolerance 275
Potential Development Application of the Smart Structures Concept 276
Image Recognition: How to Locate the Problem 276
General Schematic of an Image Recognition Application 277
Potential Development Application of the Image Recognition Concept 278
Conclusion 278
References 279
Author Biographical Data 279
Chapter 20. Amethyst: Vibration Based Condition Monitoring 280
Introduction 280
Traditional Diagnostic Methods 282
The Knowledge Based Approach 285
Knowledge Engineering Methodology 286
The Expert System Shell 288
Violet 291
Structure of the Knowledge Base 293
Benefits of Using Amethyst 294
xiv Contents
The Broader Impact 295
General Al Strategy 296
Conclusion 298
References 298
Author Biographical Data 299
Chapter 21. KLUE: A Diagnostic Expert System Tool for
Manufacturing 300
Introduction 300
Issues of Knowledge Representation and Control 301
Requirements for Manufacturing Diagnostic Expert Systems 304
The Knowledge Representation and Environment of KLUE 306
Overview 306
Implementation 309
Conclusion 312
Author Biographical Data 313
Section 7 Process Control and Planning
Chapter 22. A Real Time Expert System in the Area of Energy
Management 316
Introduction 316
The SOCCS Host 317
The Real Time Data 318
The SOCCS Database 318
Overview of the SOCCS Alarm Advisor (SAA) 318
SAA Real Time Requirements and Constraints 320
SAA Architecture 321
SAA Internal Models 322
SAA Processing Phases 324
SAA Performance and Size 326
Conclusion 327
Innovations 327
Criteria for Successful Deployment 327
Payoff 327
Development and Deployment Timeline 328
Future Development Plans 328
Author Biographical Data 329
Chapter 23. COOKER: What s Happened Since? 330
Introduction 330
COOKER 331
The Next Expert System 332
The Next Six Expert Systems 333
What Happened? 334
Future Plans 335
Contents xv
Conclusion 336
Author Biographical Data 337
Chapter 24. CABPRO Case Study 338
Introduction 338
CABPRO 339
Conclusion 346
Author Biographical Data 347
Chapter 25. Expert System for Automatic Generation of Printed
Wiring Assembly Process Plans 348
Introduction 348
Suitability of Knowledge Based System 352
Research Objectives and Goals 354
Scope of Research 354
The Hughes PWA Application 355
The Hughes Process Planning Environment 355
The Motivation 356
HICLASS Rules 356
Information Requirement 358
HICLASS PWA Network 359
Modus Operandi 360
Network Organization 362
State of Implementation 364
Integrating Application Networks 366
Benefits of the PWA Network 366
Limitations 367
Research Results 367
Overview 367
Going Beyond Surface Knowledge 369
Process Characterization 371
Process Elements 371
Process Element Relations 373
Modeling Taxonomies 374
Modeling Component Mounting 374
Modeling Soldering 376
Process Characterization via Frames 378
Product Definition 381
Basic Constituents Frames 382
Product Definition via Frames 382
Physical Relationships 385
Frames and Taxonomies 387
Planning Generation 388
Conclusion 392
References 394
Author Biographical Data 395
xvi Contents
Chapter 26. The USS Blast Furnace Advisor 396
Introduction 396
Blast Furnace Advisor 397
Conclusion 402
Author Biographical Data 402
Chapter 27. A Hierarchical Planning Knowledge System Applied
to Manufacturing Processes 404
Introduction 404
Previous Work Developed in Process Planning Systems 405
Manufacturing Processes Associated With the Production of PCBs 406
Architecture of CPMAPS II 410
CPMAPS II Planning Modules 410
Generic Process Planning Module 41°
Workunit Process Planning Module 412
An Example 414
Conclusions 415
Acknowledgments 416
References 416
Author Biographical Data 417
Section 8 Design
Chapter 28. Expert Systems for Engineering Design and
Manufacturing 420
Introduction 420
The Need for Integration of Expert Systems with CAD/CAM 421
Applications in Design and Manufacturing 422
Integration Architecture 425
An Example 427
Conclusions 430
Author Biographical Data 431
Chapter 29. An Expert System for Designing and Processing
Autobody Parts 432
Introduction 432
Expert System Shells 433
Selection of an Expert System Development Shell 434
Structuring the Knowledge Base 435
Building and Testing the Expert System 439
Consultations 443
Expanding the Prototype Expert System 444
Conclusion 445
Author Biographical Data 445
Acknowledgment 445
Contents xvii
Section 9 Quality and Safety
Chapter 30. Lubrizol Material Safety Data Sheet System 448
Introduction 448
Building the Material Safety Data Sheet System 449
Conclusion 453
Author Biographical Data 454
Chapter 31. An Expert System for Quality Control in Manufacturing 455
Introduction 455
Project History 456
General Al History 456
Prototype Selection 458
Prototype Development 458
Production 459
The Software Development Approach 460
Testing and Evaluation Protocol 464
Outcome and Conclusions 464
References 465
Author Biographical Data 465
Chapter 32. Software Architecture to Support Total Quality
Companies 467
Introduction 467
The Problem 468
The Data Minimization Principle 469
The Replacement Principle 469
The Corporate Action Principle 469
The Commitment Not Concept Exchange Principle 469
A Way of Finding a Solution 470
The New Unit of Competition Principle 470
The Fractal Social Process Principle 470
The Locus of Work Is in the People Not in the Systems Principle 471
The Evolution of Meetings from Places to Do Work to Places to Report Status
Principle 471
The Scientific Requisites of Finding a Solution: A Model of All Quality
Approaches 473
The Compensation for National Neuroses Principle 473
The Total Quality Paradigm of Doing Business: A Matrix of All Quality
Approaches 473
The Principles Shared by All Quality Approaches 475
The Solution 476
The Organizational Development Contribution 477
The Swedish and European Contribution 477
The American Contribution 478
xviii Contents
Making a Start on This Daunting Task 479
An Initial Software Architecture for Support of Total Quality Ways of Doing
Business 482
The Work Already Done on Such an Architecture 483
The Minimal Input Principle 484
The Knowledge Architecture Needed to Support These Achieved Functions 484
Author Biographical Data 486
Section 10 Pricing, Packaging, and Customizing
Chapter 33. The Quotation Assistant at PMI Food Equipment Group 490
Introduction 490
The Quotation Assistant 491
Conclusion 495
Author Biographical Data 495
Chapter 34. Product Lot Selection Advisor 497
Introduction 497
General Development Methodology 498
How Many Iterations? 500
Tools Used During Development 502
Vital Statistics 502
Basic Application Operation 503
Conclusion 504
Author Biographical Data 505
Chapter 35. Packaging Advisor™: An Expert System for Rigid Plastic
Food Package Design 506
Introduction 506
The Business Environment 507
The Food Package Design Problem 508
The Development Process 509
The System 510
How the System Was Used 512
The Results 514
Conclusions 514
Author Biographical Data 514
Chapter 36. Neural Nets for Custom Formulation 515
Introduction 515
The Formulation Task 516
The Formulation Challenge 517
Current Formulation Approaches 517
A Better Way: Neural Nets 518
The Nature of Neural Nets 520
Contents xix
Application Issues 521
Conclusion 523
Author Biographical Data 523
Chapter 37. Expert Systems for Specifying and Pricing: Process
and Industrial Gauges 524
Introduction 525
Ashcroft Gauges—History of Leadership 526
Background on the Application 526
The Original Plan 527
KnowledgePro 527
Knowledge Acquisition 528
Storyboarding: A New Planning Tool for the Early Stage of an Expert
System 529
Development of the Gauge Selection Expert System 529
The Development of the Gauge Selection Expert System 531
Conclusion 536
Author Biographical Data 536
Appendixes 537
Al Vendors 537
Trade Groups, Market Research 542
Consulting 544
Glossary 547
Bibliography 551
Index 554
|
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| discipline | Wirtschaftswissenschaften |
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| id | DE-604.BV004756712 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T16:17:17Z |
| institution | BVB |
| isbn | 0070409846 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-002929299 |
| oclc_num | 22310478 |
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| owner | DE-473 DE-BY-UBG DE-703 |
| owner_facet | DE-473 DE-BY-UBG DE-703 |
| physical | XXII, 561 S. graph. Darst. |
| publishDate | 1991 |
| publishDateSearch | 1991 |
| publishDateSort | 1991 |
| publisher | McGraw-Hill |
| record_format | marc |
| spelling | Handbook of expert systems in manufacturing Rex Maus ..., eds. New York u.a. McGraw-Hill 1991 XXII, 561 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Literaturangaben Expertsystemen gtt Productie gtt Datenverarbeitung Expert systems (Computer science) Production engineering Data processing Production management Data processing Fertigung (DE-588)4016899-2 gnd rswk-swf Produktion (DE-588)4047347-8 gnd rswk-swf Expertensystem (DE-588)4113491-6 gnd rswk-swf Expertensystem (DE-588)4113491-6 s Produktion (DE-588)4047347-8 s DE-604 Fertigung (DE-588)4016899-2 s Rex, Maus Sonstige oth HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=002929299&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Handbook of expert systems in manufacturing Expertsystemen gtt Productie gtt Datenverarbeitung Expert systems (Computer science) Production engineering Data processing Production management Data processing Fertigung (DE-588)4016899-2 gnd Produktion (DE-588)4047347-8 gnd Expertensystem (DE-588)4113491-6 gnd |
| subject_GND | (DE-588)4016899-2 (DE-588)4047347-8 (DE-588)4113491-6 |
| title | Handbook of expert systems in manufacturing |
| title_auth | Handbook of expert systems in manufacturing |
| title_exact_search | Handbook of expert systems in manufacturing |
| title_full | Handbook of expert systems in manufacturing Rex Maus ..., eds. |
| title_fullStr | Handbook of expert systems in manufacturing Rex Maus ..., eds. |
| title_full_unstemmed | Handbook of expert systems in manufacturing Rex Maus ..., eds. |
| title_short | Handbook of expert systems in manufacturing |
| title_sort | handbook of expert systems in manufacturing |
| topic | Expertsystemen gtt Productie gtt Datenverarbeitung Expert systems (Computer science) Production engineering Data processing Production management Data processing Fertigung (DE-588)4016899-2 gnd Produktion (DE-588)4047347-8 gnd Expertensystem (DE-588)4113491-6 gnd |
| topic_facet | Expertsystemen Productie Datenverarbeitung Expert systems (Computer science) Production engineering Data processing Production management Data processing Fertigung Produktion Expertensystem |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=002929299&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT rexmaus handbookofexpertsystemsinmanufacturing |