Artificial Intelligence Applications in Manufacturing Book

	Contributors
	Preface
	Introduction
I	Design and Planning
1	Application of Machine Learning to Industrial Planning and Decision Making	1
2	Incorporating Special Purpose Resource Design in Planning to Make More Efficient Plans	17
3	Geometric Reasoning Using a Feature Algebra	41
4	Backward Assembly Planning	61
5	Symmetry Groups in Solid Model-Based Assembly Planning	103
6	An Expert System Approach for Economic Evaluation of Machining Operation Planning	133
II	Scheduling and Control
7	Interactive Problem Solving for Production Planning	157
8	An Abstraction-Based Search and Learning Approach for Effective Scheduling	186
9	ADDYMS: Architecture for Distributed Dynamic Manufacturing Scheduling	199
10	An Architecture for Real Time Distributed Scheduling	215
11	Teamwork among Intelligent Agents: Framework and Case Study in Robotic Service	235
12	Exploiting Local Flexibility during Execution of Pre-Computed Schedules	277
III	Manufacturing Integration
13	Symbolic Representation and Planning for Robot Control Systems in Manufacturing	293
14	An Architecture for Integrating Enterprise Automation	327
15	An Intelligent Agent Framework for Enterprise Integration	349
16	Integrated Software System for Intelligent Manufacturing	385
17	Enterprise Management Network Architecture: A Tool for Manufacturing Enterprise Integration	401
18	Design and Manufacturing: Integration through Quality	433
	Index	433