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Scheduling Single Machine Problem to Minimize Completion Time
In this research, a single batch machine scheduling problem with sequence dependent setup time is studied with the aim of minimizing the completion time. This problem has been proven to be NP-hard and therefore, a tabu search algorithm is developed to solve the single batch machine scheduling proble...
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Published in: | TEM Journal 2022-05, Vol.11 (2), p.552-556 |
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Language: | English |
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container_title | TEM Journal |
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creator | Suppiah, Yasothei Bhuvaneswari, Thangavel Shen Yee, Pang Wei Yue, Ng Mun Horng, Chan |
description | In this research, a single batch machine scheduling problem with sequence dependent setup time is studied with the aim of minimizing the completion time. This problem has been proven to be NP-hard and therefore, a tabu search algorithm is developed to solve the single batch machine scheduling problem. Furthermore, a genetic algorithm and several dispatching heuristics are also developed to study the capabilities of all the algorithms in providing the average completion time. The computational result reveals that the developed tabu search algorithm is capable of producing a better outcome compared to the other algorithms. |
doi_str_mv | 10.18421/TEM112-08 |
format | article |
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subjects | Business Economy / Management Completion time Genetic algorithms Heuristic Linear programming Multimedia Mutation Neighborhoods Population Production planning Schedules Scheduling |
title | Scheduling Single Machine Problem to Minimize Completion Time |
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