Volume 55, Number 3, May-June 2021
|Page(s)||1603 - 1616|
|Published online||15 June 2021|
An effective iterated greedy algorithm for blocking hybrid flow shop problem with due date window
Faculté des Sciences Économiques et de Gestion de Sfax, Université de Sfax, Route de l’Aéroport Km 4, Sfax 3018, Tunisie.
* Corresponding author: firstname.lastname@example.org
Accepted: 3 May 2021
Nowadays many industry consider an interval time as a due date instead of precise points in time. In this study, the hybrid flow shop scheduling problem with basic blocking constraint is tackled. Where jobs, if done within a due window, are deemed on time. Therefore, the criterion is to minimize the sum of weighted earliness and tardiness. This variant of the hybrid flowshop problem is not investigated to the best of our knowledge. we introduced a new metaheuristic centered on the iterated greedy approach. to evaluate the proposed method we start by the re-implementation and the comparison of seven well-selected procedures that treat the hybrid flowshop problem. In order to prove the robustness of our method, we evaluated it using a new benchmark of more than 1000 instances. The experimental results demonstrated that the proposed algorithm is effective and produces a very high solution.
Mathematics Subject Classification: 90B35 / 90C27
Key words: Hybrid flow shop / scheduling / blocking / iterated greedy / due date window
© The authors. Published by EDP Sciences, ROADEF, SMAI 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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