Frontiers in Computing Technologies for Manufacturing Applications

In this competitive world, industries focus on shorter lead times, improved quality, reduced cost, improved productivity and better customer service. This book offers an overview of intelligent computing in manufacturing, discussing modeling, data processing, algorithms and computational analysis of problems encountered in advanced manufacturing. 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 widely implemented, information growth poses new challenges to decision makers in areas ranging from shop floor control to supply chain management and design. Frontiers in Computing Technologies for Manufacturing Applications presents an overview of the state-of-the-art intelligent computing in manufacturing. Modeling, data processing, algorithms and computational analysis of difficult problems found in advanced manufacturing are discussed. It is the first book to bring together combinatorial optimization, information systems and fault diagnosis and monitoring in a consistent manner. Techniques are presented in order to aid decision makers needing to consider multiple, conflicting objectives in their decision processes. In particular, the use of metaheuristic optimization techniques for multi-objective problems is discussed. Readers will learn about computational technologies that can improve the performance of manufacturing systems ranging from manufacturing equipment to supply chains. Frontiers in Computing Technologies for Manufacturing Applications will be of interest to students in industrial and mechanical engineering as well as information engineers needing practical examples for the successful integration of information in manufacturing applications. The book will also appeal to technical decision makers involved in production planning, logistics, supply chain, industrial ecology, manufacturing information systems, fault diagnosis and monitoring. 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.