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Original Articles

Algorithms to minimize total completion time in a two-machine flowshop problem with uncertain set-up times

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Pages 1417-1430 | Received 25 Feb 2020, Accepted 23 Jun 2020, Published online: 27 Aug 2020
 

Abstract

The two-machine flowshop scheduling problem to minimize total completion time with separate set-up times is addressed. Set-up times are modelled as uncertain within an interval where only the lower and upper bounds are known. Eighty-one different versions of a newly developed constructive algorithm are proposed. Computational experiments to evaluate the performance of the proposed algorithm are conducted in two stages. In the first stage, 81 versions of the algorithm are compared with each other and the top seven versions are selected. In the second stage, the performances of the top seven versions are compared with the performance of the best existing known algorithm for the deterministic set-up times solution in the literature. The computational results reveal that errors of the top seven (out of 81) versions of the algorithm are less than 0.005. All computational results are statistically verified. Therefore, the proposed algorithm has excellent performance.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This project was partially supported by Gulf University for Science and Technology [project code GCG-CASE 187402].

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