Soft Computing Based Techniques in Cellular Manufacturing Systems : Various State-of-the-art Heuristics to Manufacturing Cell Formation Problems

Tamal Ghosh

ISBN 10: 3659245763 / ISBN 13: 9783659245763

Published by LAP Lambert Academic Publishing, 2012

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - In this study three different methodologies are developed, (i) a similarity coefficient based approach is adopted to obtain the initial machine part grouping solution. Thereafter a state-of-the-art part clustering algorithm is proposed to improve the solution quality. (ii) A dissimilarity coefficient based approach is adopted to obtain the initial machine part grouping solution. Thereafter a novel approach based on a population based heuristic technique is proposed to improve the solution quality. (iii) A similarity coefficient based technique is exploited to form machine cells and part families. Thereafter a Simulated Annealing (SA) based metaheuristic algorithm is utilized to enhance the quality of the solutions obtained.

Seller Inventory # 9783659245763

Bibliographic Details

• Title: Soft Computing Based Techniques in Cellular Manufacturing Systems : Various State-of-the-art Heuristics to Manufacturing Cell Formation Problems
• Publisher: LAP Lambert Academic Publishing
• Publication Date: 2012
• Language: English
• ISBN 10: 3659245763
• ISBN 13: 9783659245763
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

In this study three different methodologies are developed, (i) a similarity coefficient based approach is adopted to obtain the initial machine part grouping solution. Thereafter a state-of-the-art part clustering algorithm is proposed to improve the solution quality. (ii) A dissimilarity coefficient based approach is adopted to obtain the initial machine part grouping solution. Thereafter a novel approach based on a population based heuristic technique is proposed to improve the solution quality. (iii) A similarity coefficient based technique is exploited to form machine cells and part families. Thereafter a Simulated Annealing (SA) based metaheuristic algorithm is utilized to enhance the quality of the solutions obtained.

About the Author

Tamal Ghosh is a PhD Research Scholar in the Department of Production Engineering, Jadavpur University, India. He has also obtained his Master of Technology (M.Tech) in Industrial Engineering from West Bengal University of Technology and Bachelor of Technology (B.Tech) in Computer Engineering from National Institute of Technology Calicut India.