Title: Handbook of Expert Systems in Manufacturing Author: Jessica Keyes, Rex Maus ISBN: 0070409846 / 9780070409842 Format: Hard Cover Pages: 583 Publisher: McGraw-Hill Year: 1991 Availability: In Stock
Description
Contents
Reliable estimates indicate that at least 90 percent of the world's Fortune 1000 companies are investing in artificial intelligence/expert systems to boost manufacturing efficience and create competitive advantage. From this highly informative handbook you'll learn how many of these organizations put expert systems on line. Systems experts from such companies as Campbell Soup, Ford Motor, IBM, ConEdison, Bell Labs, LTV Missiles and Electronics, and Lubrizol offer detailed, first-hand accounts of the how's and why's of system development, the advantages and disadvantages of various implementation techniques and strategies, and the return on investment achieved.
Preface
Section 1 : Introduction to Expert Systems Chapter 1 : Introduction to Expert Systems Chapter 2 : Artificial Intelligence and Expert Systems : A Technological Primer Chapter 3 : Some Facts About Expert Systems Chapter 4 : Manufacturing Survey
Section 2 : Integration of AI Into Manufacturing Chapter 5 : Integrating Knowledge-Based Systems in the Manufacturing Environment Chapter 6 : Data-Based Systems and Knowledge-Based Systems Chapter 7 : Workstation Integration of Expert Systems, Neural Networks, Image Processing, and Controls
Section 3 : Knowledge Engineering in a Manufacturing Environment Chapter 8 : Knowledge Acquisition Issues in Manufacturing Chapter 9 : Organization of Knowledge for an Expert System : The Step Between Acquisition and Representation of Knowledge
Section 4 : Scheduling and Forecasting Chapter 10 : Knowledge-Based Dynamic Scheduling in a Steel Plant Chapter 11 : Managing Complexity : Al in Batch Plant Scheduling Chapter 12 : LA-Z-BOY Implements Manufacturing and Shipping Chapter 13 : Forecasting Demand for Manufacturing and Deployment Chapter 14 : CHRONOS : Facilities Management Chapter 15 : Expert Simulation for On-Line Scheduling
Section 5 : Simulation, Process Modeling, and Resource Allocation Chapter 16 : Intelligent Simulation : The New Generation of Expert Systems Chapter 17 : Object-Oriented Knowledge-Based Approach to Process Modeling Chapter 18 : Randomized Heuristic Search Approach to Cutting Stock Problems
Section 6 : Diagnostics Chapter 19 : A Fault-Tolerant Neural Network Applied to Nondestructive Inspection Chapter 20 : Amethyst : Vibration-Based Condition Monitoring Chapter 21 : KLUE : A Diagnostic Expert System Tool for Manufacturing
Section 7 : Process Control and Planning Chapter 22 : A Real-Time Expert System in the Area of Energy Management Chapter 23 : COOKER : What’s Happened Since? Chapter 24 : CABPRO Case Study Chapter 25 : Expert System for Automatic Generation of Printed Wiring Assembly Process Plans Chapter 26 : The USS Blast Furnace Advisor Chapter 27 : A Hierarchical Planning Knowledge System Applied to Manufacturing Processes
Section 8 : Design Chapter 28 : Expert Systems for Engineering Design and Manufacturing Chapter 29 : An Expert System for Designing and Processing Autobody Parts
Section 9 : Quality and Safety Chapter 30 : Lubrizol Material Safety Data Sheet System Chapter 31 : An Expert System for Quality Control in Manufacturing Chapter 32 : Software Architecture to Support Total-Quality Companies
Section 10. : Pricing, Packaging, and Customizing Chapter 33 : The Quotation Assistant at PMI Food Equipment Group Chapter 34 : Product Lot Selection Advisor Chapter 35 : Packaging Advisor™ : An Expert System for Rigid-Plastic Food Package Design Chapter 36 : Neural Nets for Custom Formulation Chapter 37 : Expert Systems for Specifying and Pricing : Process and Industrial Gauges
Appendixes
Appendix A : AI Vendors
Appendix B : Trade Groups, Market Research
Appendix C : Consulting
Appendix D : Glossary
Appendix E : Bibliography
Index