sourav sengupta (7 risultati)

Taschenbuch. Condizione: Neu. Application of Artificial Neural Network in Cellular Manufacturing | Analysis and Experimentation | Sourav Sengupta (u. a.) | Taschenbuch | 136 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659248535 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Paperback. Condizione: Brand New. 136 pages. 8.66x5.91x0.31 inches. In Stock.

Paperback. Condizione: Brand New. 136 pages. 8.66x5.91x0.31 inches. In Stock.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Today,all over the world, manufacturing industries play an important role in realizing the real prosperity and has to deal most efficiently with the challenges facing the growth of the seller s and buyer s markets towards globalization. This has resulted in the materialization of automated industries with high performance of manufacturing systems. The manufacturing industries are motivated to enhance the productivity and flexibility of the system towards achieving a competitive edge. Cellular Manufacturing Systems (CMS) evolved as an efficient production system, with low set up time, low work-in-process inventory (WIP), short manufacturing lead time, high machine utilization and high quality.The importance of an efficient cell design is underscored by the fact that a properly designed structure is the basis for other tactical decisions related to managing the manufacturing system in the short run.This book provides an in-depth review and analysis of the influence of Artificial neural Network in cellular manufacturing system design and also discusses a hybrid algorithm as a possible solution to the cell design problem. 136 pp. Englisch.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sengupta SouravSourav Sengupta is an alumnus of West Bengal University of Technology, India. He has obtained his Bachelor of Technology in Information Technology in the year, 2009 and Master of Technology in Industrial Engineering & .

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Today,all over the world, manufacturing industries play an important role in realizing the real prosperity and has to deal most efficiently with the challenges facing the growth of the seller¿s and buyer¿s markets towards globalization. This has resulted in the materialization of automated industries with high performance of manufacturing systems. The manufacturing industries are motivated to enhance the productivity and flexibility of the system towards achieving a competitive edge. Cellular Manufacturing Systems (CMS) evolved as an efficient production system, with low set up time, low work-in-process inventory (WIP), short manufacturing lead time, high machine utilization and high quality.The importance of an efficient cell design is underscored by the fact that a properly designed structure is the basis for other tactical decisions related to managing the manufacturing system in the short run.This book provides an in-depth review and analysis of the influence of Artificial neural Network in cellular manufacturing system design and also discusses a hybrid algorithm as a possible solution to the cell design problem.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 136 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Today,all over the world, manufacturing industries play an important role in realizing the real prosperity and has to deal most efficiently with the challenges facing the growth of the seller s and buyer s markets towards globalization. This has resulted in the materialization of automated industries with high performance of manufacturing systems. The manufacturing industries are motivated to enhance the productivity and flexibility of the system towards achieving a competitive edge. Cellular Manufacturing Systems (CMS) evolved as an efficient production system, with low set up time, low work-in-process inventory (WIP), short manufacturing lead time, high machine utilization and high quality.The importance of an efficient cell design is underscored by the fact that a properly designed structure is the basis for other tactical decisions related to managing the manufacturing system in the short run.This book provides an in-depth review and analysis of the influence of Artificial neural Network in cellular manufacturing system design and also discusses a hybrid algorithm as a possible solution to the cell design problem.