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Handbook of Expert Systems Applications in Manufacturing Structures and rules

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Table of Contents

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    Book Overview
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    Chapter 1 An introduction to expert systems in production and manufacturing engineering: the structure, development process and applications
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    Chapter 2 Operations research/artificial intelligence rules for the optimal design of manufacturing systems: machine and traffic allocation
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    Chapter 3 A common skeletal framework for knowledge-based solutions to a representative set of manufacturing problems
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    Chapter 4 A general purpose knowledge-based system and its application to design problems
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    Chapter 5 A knowledge-based system for selection of resource allocation rules and algorithms
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    Chapter 6 An intelligent shop management system for production supervision
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    Chapter 7 Intelligent systems for conceptual design of mechanical products
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    Chapter 8 Knowledge-based surface treatment and coating selection in product design
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    Chapter 9 Expert system for casting design evaluation
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    Chapter 10 Expert system approaches to the selection of materials handling and transfer equipment
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    Chapter 11 A knowledge-based system for scheduling in a flexible manufacturing system
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    Chapter 12 ‘Optimal’ rule switching for flow shops with random workloads
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    Chapter 13 An expert system approach to surface mount pick-and-place machine selection
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    Chapter 14 FIXPERT: A rule-based system for workholding device selection of rotational parts
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    Chapter 15 Learning in robotic task planning
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    Chapter 16 An expert system with an external optimization module for quality control decisions
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Title
Handbook of Expert Systems Applications in Manufacturing Structures and rules
Published by
Springer Netherlands, March 2013
DOI 10.1007/978-94-011-0703-7
ISBNs
978-9-40-104302-1, 978-9-40-110703-7
Editors

Mital, A., Anand, S.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 14%
Unknown 6 86%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 43%
Student > Ph. D. Student 2 29%
Student > Postgraduate 1 14%
Unknown 1 14%
Readers by discipline Count As %
Engineering 5 71%
Computer Science 1 14%
Unknown 1 14%