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Clustered Absolute Bottleneck Adjacent Matching Heuristic for Re-Entrant Flow Shop
Abstract:
The problem illustrated in this paper resembles a four machine permutation re-entrant flow shop with the process routing of M1,M2,M3,M4,M3,M4 where M1 and M4 have high tendency of being the dominant machines. Due to the re-entrant and permutation nature of the process routing, the actual bottlenecks were identified as M1 and combinations of M4+M3+M4. A constructive bottleneck-based heuristic known as C-ABAM was developed to minimise the makespan of the four machine permutation re-entrant flow shop using bottleneck analysis. The results showed that C-ABAM produces better result than the original ABAM heuristic introduced by Bareduan and Hasan in 2009. It was shown that at any P1 dominance level value, the C-ABAM heuristic was capable to produce near optimal results for the 6 jobs problem sizes studied. The C-ABAM heuristic was also capable to generate results which are very compatible to the NEH. To some extent, within 6 jobs problems simulation conducted during the study, the C-ABAM shows marginally better makespan performance compared to the NEH at strong dominance level.
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1138-1143
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December 2013
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© 2014 Trans Tech Publications Ltd. All Rights Reserved
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