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OverviewThis 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. Full Product DetailsAuthor: Shubhabrata Datta , J. Paulo DavimPublisher: Springer Nature Switzerland AG Imprint: Springer Nature Switzerland AG Edition: 2019 ed. Weight: 0.711kg ISBN: 9783030016401ISBN 10: 3030016404 Pages: 352 Publication Date: 13 November 2018 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsOptimization 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.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |