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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/1330

Title: An Improved Artificial Immune System for Solving Loading Problems in Flexible Manufacturing Systems
Authors: Dhal, P R
Mahapatra, S S
Datta, S
Mishra, A
Keywords: Flexible Manufacturing System
system unbalance
Throughput
artificial immune algorithm
Issue Date: Dec-2010
Citation: International Conference on Industrial Engineering and Engineering Management (IEEM 2010), 7th-10th December 2010, Macau, PR China
Abstract: Flexible manufacturing system (FMS) has been a focal point in manufacturing related research for improving competitiveness. Machine loading problem in FMS is known to be NP-hard problems and its complexity so extensive that even small problems take excessive computational time to reach the optimal solution. Since the problem has been recognized as one of the most important planning problems, it needs to be solved before actual manufacturing. The objective of the loading problems is to minimize the system unbalance and maximize the throughput satisfying the technological constraints such as availability of machining time and tool slots. To ease the tedious computations, and to get a good solution for large problems, this paper proposes an improved artificial immune system algorithm. It demonstrated the capabilities of the proposed algorithm to converge faster and to a better solution than other comparable techniques. For the same cause, the proposed algorithm has been tested over a set ...
Description: Copyright belongs to Proceedings Publisher
URI: http://hdl.handle.net/2080/1330
Appears in Collections:Conference Papers

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