Optimization of Manufacturing Processes [electronic resource] /
edited by Kapil Gupta, Munish Kumar Gupta.
- 1st ed. 2020.
- VIII, 232 p. online resource.
- Springer Series in Advanced Manufacturing, 2196-1735 .
- Springer Series in Advanced Manufacturing, .
Part I: Intelligent Manufacturing Using Statistical Techniques -- Part II: Intelligent Manufacturing using Multi-criteria Decision Making -- Part III: Intelligent Manufacturing using Evolutionary Techniques.
This book provides a detailed understanding of optimization methods as they are implemented in a variety of manufacturing, fabrication and machining processes. It covers the implementation of statistical methods, multi-criteria decision making methods and evolutionary techniques for single and multi-objective optimization to improve quality, productivity, and sustainability in manufacturing. It reports on the theoretical aspects, special features, recent research and latest development in the field. Intelligent Manufacturing is a valuable source of information for researchers and practitioners, as it fills the gap where no dedicated book is available on intelligent manufacturing/modeling and optimization in manufacturing. Readers will develop an understanding of the implementation of statistical and evolutionary techniques for modeling and optimization in manufacturing.
9783030196387
10.1007/978-3-030-19638-7 doi
Manufactures.
Industrial Management.
Security systems.
Production management.
Operations research.
Machines, Tools, Processes.
Industrial Management.
Security Science and Technology.
Production .
Operations Research and Decision Theory.
TS1-2301
670
Part I: Intelligent Manufacturing Using Statistical Techniques -- Part II: Intelligent Manufacturing using Multi-criteria Decision Making -- Part III: Intelligent Manufacturing using Evolutionary Techniques.
This book provides a detailed understanding of optimization methods as they are implemented in a variety of manufacturing, fabrication and machining processes. It covers the implementation of statistical methods, multi-criteria decision making methods and evolutionary techniques for single and multi-objective optimization to improve quality, productivity, and sustainability in manufacturing. It reports on the theoretical aspects, special features, recent research and latest development in the field. Intelligent Manufacturing is a valuable source of information for researchers and practitioners, as it fills the gap where no dedicated book is available on intelligent manufacturing/modeling and optimization in manufacturing. Readers will develop an understanding of the implementation of statistical and evolutionary techniques for modeling and optimization in manufacturing.
9783030196387
10.1007/978-3-030-19638-7 doi
Manufactures.
Industrial Management.
Security systems.
Production management.
Operations research.
Machines, Tools, Processes.
Industrial Management.
Security Science and Technology.
Production .
Operations Research and Decision Theory.
TS1-2301
670