Decision support systems (DSS) have evolved over the past four decades from theoretical concepts into real world computerized applications. DSS architecture contains three key components: knowledge base, computerized model, and user interface. DSS simulate cognitive decision-making functions of huma
Manufacturing Decision Support Systems
β Scribed by Murali Krishnamurthi, Raj Jayashankar (auth.), Hamid R. Parsaei, Sai Kolli, Thomas R. Hanley (eds.)
- Publisher
- Springer US
- Year
- 1996
- Tongue
- English
- Leaves
- 321
- Series
- Manufacturing Systems Engineering Series 1
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
During the last two decades, a tremendous growth in the popularity and applications of computers in manufacturing has occurred. ComputerΒ 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 environΒ 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.
β¦ Table of Contents
Front Matter....Pages i-xxi
A generalized cost analysis system for manufacturing simulation....Pages 1-19
A decision support system for the justification of computer-integrated manufacturing....Pages 20-39
Linking strategies to actions: integrated performance measurement systems for competitive advantage....Pages 40-54
Intelligent decision support for quality function deployment....Pages 55-66
A knowledge-based decision support system for apparel enterprise evaluation....Pages 67-110
Heuristic decision support system database structure for diagnostic expert systems....Pages 111-143
Object-oriented organization of network flow problem-solving knowledge for manufacturing decision-support systems....Pages 144-156
Machine learning for process parameter selection in intelligent machining....Pages 157-179
An interactive program for machine grouping and layout....Pages 180-203
Intelligent scheduling systems: an artificial-intelligence-based approach....Pages 204-216
Optimizing assembly time for printed circuit board assembly....Pages 217-237
On integration of statistical process control and engineering process control: a neural network application....Pages 238-253
Constraint-based genetic algorithms for concurrent engineering....Pages 254-279
Computer-integrated manufacturing: a complex information system....Pages 280-291
Back Matter....Pages 293-302
β¦ Subjects
Mechanical Engineering; Information Storage and Retrieval
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