Minimizing the number of tardy jobs with generalized due-dates and position-dependent processing times

Abstract We study a single machine scheduling problem with generalized due-dates and general position-dependent job processing times. The objective function is minimum number of tardy jobs. The problem is proved to be NP-hard in the strong sense. We introduce an efficient algorithm that solves medium size problems in reasonable running time. A simple and efficient heuristic is also introduced, which obtained the optimal solution in the vast majority of our tests.

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Publication Details

Journal
Optimization Letters
Published
2024-09-13
DOI
https://doi.org/10.1007/s11590-024-02138-5
Citations
4
Primary Topic
Scheduling and Optimization Algorithms
Type
article
Field-Weighted Citation Impact
1.40

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article

Minimizing the number of tardy jobs with generalized due-dates and position-dependent processing times

Gur Mosheiov, Enrique Gerstl
4 citations
Optimization Letters
Scheduling and Optimization Algorithms
1.40
article

Minimizing the number of tardy jobs with generalized due-dates and position-dependent processing times

Gur Mosheiov, Enrique Gerstl
article en
4 citations

Abstract

Abstract We study a single machine scheduling problem with generalized due-dates and general position-dependent job processing times. The objective function is minimum number of tardy jobs. The problem is proved to be NP-hard in the strong sense. We introduce an efficient algorithm that solves medium size problems in reasonable running time. A simple and efficient heuristic is also introduced, which obtained the optimal solution in the vast majority of our tests.

Optimization LettersVol. 19(4)
Hebrew University of Jerusalem (IL)
Deutsche Forschungsgemeinschaft, Hebrew University of Jerusalem
Openalex Percentile: Top 17%
Scheduling and Optimization Algorithms
1.40
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