Manufacturing Decision Support Systems

ISBN-13: 9781461285052 / Angielski / Miękka / 2011 / 302 str.

Hamid R. Parsaei; Thomas R. Hanley; S. S. Kolli

Opis

During the last two decades, a tremendous growth in the popularity and applications of computers in manufacturing has occurred. Computer aided design, computer-aided manufacturing, flexible manufacturing systems, group technology and many others are considered by many manufacturing executives as the most promising technologies and philosophies that, if successfully implemented, can reduce costs and enable the US manufacturing companies to become more competitive in the global market. In the computer-integrated manufacturing environ ment, the decision processes are often more involved. The decision makers are frequently required to have access to a vast amount of data to support and analyze their complex decision problems at strategic and tactical levels. Decision support systems are often referred to as computer-based information technologies that allow the decision makers to interactively communicate and solve the decision problems. Manufacturing Decision Support Systems is intended to report the latest developments and address the central issues in this area. This volume consists of 14 refereed chapters, written by leading researchers from academia and industry."

Spis treści

A generalized cost analysis system for manufacturing simulation. A decision support system for the justification of computer-integrated manufacturing. Linking strategies to actions: integrated performance measurement systems for competitive advantage. Intelligent decision support for quality function deployment. A knowledge-based decision support system for apparel enterprise evaluation. Heuristic DSS database structure for diagnostic expert systems. Object-oriented organization of network flow problem-solving knowledge for manufacturing decision support systems. Machine learning for process parameter selection in intelligent machining. An interactive program for machine grouping and layout. Intelligent scheduling systems: an AI-based approach. Optimizing assembly time for PCB assembly. On integration of statistical process control and engineering process control: a neural network application. Constraint-based genetic algorithms for concurrent engineering. Computer-integrated manufacturing: a complex information system. Index.