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, .
<br/><br/>Part I: Intelligent Manufacturing Using Statistical Techniques -- Part II: Intelligent Manufacturing using Multi-criteria Decision Making -- Part III: Intelligent Manufacturing using Evolutionary Techniques. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9783030196387 
<br/><br/><label>Standard No.: </label>10.1007/978-3-030-19638-7  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Manufactures.<br/>Industrial Management.<br/>Security systems.<br/>Production management.<br/>Operations research.<br/>Machines, Tools, Processes.<br/>Industrial Management.<br/>Security Science and Technology.<br/>Production .<br/>Operations Research and Decision Theory.
<br/><br/><label>LC Class. No.: </label>TS1-2301 
<br/><br/><label>Dewey Class. No.: </label>670