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Authors
Affiliations
1 Dept. of Mechanical Engineering, Arulmigu Kalasalingam College of Engineering, Anand Nagar, Krishnankoil - 626 190, IN
2 Department of Production Engineering, Regional Engineering College, Tiruchirappalli - 620 015, IN
Source
Manufacturing Technology Today, Vol 2, No 8-9 (2003), Pagination: 16-20
Abstract
Cellular manufacturing system (CMS) is the application of Group Technology (GT) in which similar parts and machines are grouped into part families and machining cells. The success of the CMS depends on the efficiency in forming part families and manufacturing cells. In this work, a back propagation Artificial Neural Network (ANN) is developed for the above task. Learning (i.e.) adjustment of weight age to each connection in the network is incorporated using Genetic algorithm (GA). Multiple objectives (Exceptional elements, Intracell move. Intracell machine load unbalances. Intercell machine load unbalances) are considered to evaluate the goodness of the cell formation. The network is tested for different problem sizes.
