In today's competitive world, industries are focusing on shorter lead times, improved quality, reduced cost, increased profit, improved productivity and better customer service. As ERP and other information management systems have been implemented, information growth poses new challenges to decision makers in manufacturing.

This book is an overview of intelligent computing in manufacturing. Modelling, data processing, algorithms and computational analysis of problems found in advanced manufacturing are discussed. Techniques are presented to aid decision makers dealing with multiple, conflicting objectives. Readers will learn about computational technologies that can improve the performance of manufacturing systems.

As the first book to bring together combinatorial optimization, information systems and fault diagnosis and monitoring in a consistent manner, this book will interest students in industrial and mechanical engineering, information engineers and technical decision makers.