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Optimization in Industry [electronic resource] : Present Practices and Future Scopes / edited by Shubhabrata Datta, J. Paulo Davim.

Contributor(s): Datta, Shubhabrata [editor.] | Davim, J. Paulo [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Management and Industrial Engineering: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2019Edition: 1st ed. 2019.Description: X, 352 p. 185 illus., 109 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030016418.Subject(s): Industrial engineering | Production engineering | Production management | Chemistry, Technical | Industrial and Production Engineering | Operations Management | Industrial ChemistryAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 670 Online resources: Click here to access online
Contents:
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. .
In: Springer Nature eBookSummary: 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.
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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.

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