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Computational Intelligence In » (1st Edition)

Book cover image of Computational Intelligence In by Kusiak

Authors: Kusiak
ISBN-13: 9780471348795, ISBN-10: 0471348791
Format: Hardcover
Publisher: Wiley, John & Sons, Incorporated
Date Published: May 2000
Edition: 1st Edition

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Author Biography: Kusiak

ANDREW KUSIAK, PhD, a highly respected authority on advanced manufacturing, is Professor of Industrial Engineering at the University of Iowa. He is the author of numerous books, including Concurrent Engineering and Intelligent Design and Manufacturing, both published by Wiley.

Book Synopsis

Take the next step in Integrated Product and Process Development

This pioneering book is the first to apply state-of-the-art computational intelligence techniques to all phases of manufacturing system design and operations. It equips engineers with a superior array of new tools for optimizing their work in Integrated Product and Process Development.

Drawing on his extensive experience in the field of advanced manufacturing, Andrew Kusiak has masterfully embedded coverage of data mining, expert systems, neural networks, autonomous reasoning techniques, and other computational methods in chapters that cover all key facets of integrated manufacturing system design and operations, including:
* Process planning
* Setup reduction
* Production planning and scheduling
* Kanban systems
* Manufacturing equipment selection
* Group technology
* Facilities and manufacturing cell layout
* Warehouse layout
* Manufacturing system product and component design
* Supplier evaluation

Each chapter includes questions and problems that address key issues on model integration and the use of computational intelligence approaches to solve difficulties across many areas of an enterprise. Examples and case studies from real-world industrial projects illustrate the powerfulapplication potential of the computational techniques.

Comprehensive in scope and flexible in approach, Computational Intelligence in Design and Manufacturing is right in step with the enterprise of the future: extended, virtual, model-driven, knowledge-based, and integrated in time and space. It is essential reading for forward-thinking students andprofessional engineers and managers working in design systems, manufacturing, and related areas.

Booknews

Kusiak (industrial engineering, U. of Iowa) applies current computational intelligence techniques to all phases of manufacturing system design and operations, providing engineers an array of new tools for optimizing their work in integrated product and process development. He draws on his own extensive experience in advanced manufacturing, and incorporates data mining, expert systems, neural networks, autonomous reasoning techniques, and other computational methods to discuss such facets as process planning, setup reduction, selecting manufacturing equipment, group technology, facilities and manufacturing cell layout, and evaluating suppliers. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Table of Contents

1Computational Intelligence for Manufacturing
2Neural Network Applications in Intelligent Manufacturing: An Updated Survey
3Holonic Metamorphic Architectures for Manufacturing: Identifying Holonic Structures in Multiagent Systems by Fuzzy Modeling
4Neural Network Applications for Group Technology and Cellular Manufacturing
5Application of Fuzzy Set Theory in Flexible Manufacturing System Design
6Genetic Algorithms in Manufacturing System Design
7Intelligent Design Retrieving Systems Using Neural Networks
8Soft Computing for Optimal Planning and Sequencing of Parallel Machining Operations
9Application of Genetic Algorithms and Simulated Annealing in Process Planning Optimization
10Production Planning and Scheduling Using Genetic Algorithms
11Neural Network Predictive Process Models: Three Diverse Manufacturing Applications
12Neural Network Applications to Manufacturing Processes: Monitoring and Control
13Computational Intelligence in Microelectronics Manufacturing
14Monitoring and Diagnosing Manufacturing Processes Using Fuzzy Set Theory
15Fuzzy Neural Network and Wavelet for Tool Condition Monitoring
16Neural Networks and Neural-Fuzzy Approaches in an In-Process Surface Roughness Recognition System for End Milling Operations
17Intelligent Quality Controllers for On-Line Parameter Design
18A Hybrid Neural Fuzzy System for Statistical Process Control
19RClass[superscript *]: A Prototype Rough-Set and Genetic Algorithms Enhanced Multi-Concept Classification System for Manufacturing Diagnosis
Index

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