Research Catalog
Integrated distributed intelligent systems in manufacturing
- Title
- Integrated distributed intelligent systems in manufacturing / Ming Rao, Qun Wang and Jianzhong Cha.
- Author
- Rao, M. (Ming), 1954-
- Publication
- London ; New York : Chapman & Hall, 1993.
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Status | Format | Access | Call Number | Item Location |
---|---|---|---|---|
Text | Request in advance | TS155.63 .R63 1993 | Off-site |
Holdings
Details
- Additional Authors
- Description
- x, 324 pages : illustrations; 24 cm.
- Series Statement
- Intelligent manufacturing series ; 2
- Uniform Title
- Intelligent manufacturing series ; 2.
- Subject
- Bibliography (note)
- Includes bibliographical references(p. [305]-319) and index.
- Contents
- 1. Introduction. 1.1. Computer-integrated manufacturing system. 1.2. Artificial intelligence in manufacturing industry. 1.3. Integrated distributed intelligent systems -- 2. Meta-system architecture. 2.1. Meta-system. 2.2. Meta-system functions. 2.3. Configuration of meta-system. 2.4. Meta-system implementation -- 3. Meta-COOP implementation. 3.1. Object-oriented programming technique. 3.2. Objects, operations and messages. 3.3. Classes and instances. 3.4. Methods and information sending. 3.5. Active value and facets. 3.6. Inheritance. 3.7. Rules. 3.8. Frame-based knowledge representation and inference. 3.9. Rule-based knowledge representation and inference. 3.10. Method-based representation and inference. 3.11. Core inference. 3.12. Interpretation of problem-solving processes. 3.13. Case study -- 4. Integrated distributed intelligent design environment. 4.1. Conceptual design of mechanical products. 4.2. DAER model. 4.3. Problem-solving strategy. 4.4. System configuration.
- 4.5. Function and structure conceptual design. 4.6. Parameter design. 4.7. Scheme analysis. 4.8. Comprehensive evaluation. 4.9. Decision-making. 4.10. Redesign. 4.11. Applications -- 5. Integrated distributed intelligent simulation environment. 5.2. IDISE configuration. 5.3. Model definition and data structure. 5.4. Model base. 5.5. Model-based inference. 5.6. Separation operation of effective model set. 5.7. Generating a homogeneous transformation matrix. 5.8. Model assembly. 5.9. Fast removing of hidden lines and surfaces. 5.10. Collision and interference testing. 5.11. Geometric modeling. 5.12. IDISE functions. 5.13. Examples. 5.14. IDISE instruction set -- 6. Gear integrated distributed intelligent manufacturing system. 6.2. Integration architecture. 6.3. Functions of the meta-system in GIDIMS. 6.4. Modularity of meta-knowledge in GIDIMS. 6.5. Standardization of communication in GIDIMS. 6.6. Optimal selection of methods -- 7. Intelligent system for process startup automation.
- 7.2. Process startup operation. 7.3. Chemical/mechanical states. 7.4. Knowledge acquisition and representation. 7.5. Hypertext technique. 7.6. Implementation. 7.7. Case study -- 8. Intelligent operation support system for chemical pulp process. 8.2. Chemical pulping process operation. 8.3. Problem definition. 8.4. Problem-solving strategy. 8.5. Knowledge acquisition. 8.6. Qualitative knowledge representation. 8.7. Quantitative computation. 8.8. System construction. 8.9. Knowledge base organization. 8.10. Other advanced system features. 8.11. Field testing. 8.12. Illustrations.
- ISBN
- 0412543702 (alk. paper)
- LCCN
- 94102801
- OCLC
- 29912586
- ocm29912586
- Owning Institutions
- Columbia University Libraries