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An effective iterated greedy algorithm for blocking hybrid flow shop problem with due date window

Ahmed Missaoui, Younés Boujelbène

2021RAIRO - Operations Research27 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

TardinessMathematical optimizationComputer scienceFlow shop schedulingIterated functionBenchmark (surveying)Job shop schedulingAlgorithmIterated local searchRobustness (evolution)Greedy algorithmMetaheuristicMathematicsGeneOperating systemGeographyBiochemistryMathematical analysisGeodesyChemistryScheduleScheduling and Optimization AlgorithmsAdvanced Manufacturing and Logistics OptimizationOptimization and Search Problems