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Optimization in industrypresent prac...

Datta, Shubhabrata.

Optimization in industrypresent practices and future scopes /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Optimization in industryedited by Shubhabrata Datta, J. Paulo Davim.
其他題名:	present practices and future scopes /
其他作者:	Datta, Shubhabrata.
出版者:	Cham :Springer International Publishing :2019.
面頁冊數:	x, 352 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
標題:	Mathematical optimization.
電子資源:	https://doi.org/10.1007/978-3-030-01641-8
ISBN:	9783030016418$q(electronic bk.)

Optimization in industrypresent practices and future scopes /
Optimization in industrypresent practices and future scopes /[electronic resource] :edited by Shubhabrata Datta, J. Paulo Davim. - Cham :Springer International Publishing :2019. - x, 352 p. :ill. (some col.), digital ;24 cm. - Management and industrial engineering,2365-0532. - Management and industrial engineering..

Optimization for Industrial Problem Solving: an Introduction -- Operational Research and Optimization -- Traditional Optimization Techniques -- Evolutionary algorithms -- Swarm Optimization -- Multi-objective Optimization and Multi-criteria Decision Making -- Product Design and Optimization -- Process Optimization and Control -- Optimization in Manufacturing Sector -- Optimization in Chemical Industries -- Optimization in Construction and Transport Engineering -- Optimization in Electronic and Communication Sector -- Optimization in Steel Industries -- Optimization in Supply Chain and Logistics.

This book describes different approaches for solving industrial problems like product design, process optimization, quality enhancement, productivity improvement and cost minimization. Several optimization techniques are described. The book covers case studies on the applications of classical as well as evolutionary and swarm optimization tools for solving industrial issues. The content is very helpful for industry personnel, particularly engineers from the Operation, R&D and Quality Assurance sectors, and also the academic researchers of different engineering and/or business administration background.

ISBN: 9783030016418$q(electronic bk.)

Standard No.: 10.1007/978-3-030-01641-8doiSubjects--Topical Terms:

183292
Mathematical optimization.

LC Class. No.: QA402.5 / .O685 2019

Dewey Class. No.: 519.6

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