In todaya (TM)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. Modelling, 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,
faultdiagnosis and monitoring.
General
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