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February 6, 2026Optimization Letters0 citationsOpen Access

A preemptive single-machine scheduling problem with a late work criterion and convex resource consumption functions

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BCByung-Cheon ChoiMPMyoung-Ju Park

Key Points

  • This research aims to optimize scheduling by minimizing late work and managing resource consumption effectively.
  • Analyzed two single-machine scheduling problems with late work criterion
  • Explored processing times as decreasing convex functions of resource consumption
  • Developed preemptive scheduling strategies that allow job interruptions and resumptions
  • Demonstrated solutions for both scheduling problems can be achieved in strongly polynomial time
  • Achieved significant reductions in both late work and resource consumption through proposed methods

Abstract

Abstract We consider two single-machine scheduling problems with the late work criterion, where each job’s processing time follows a decreasing convex function of the resource consumption amount, and each job can be interrupted and resumed later. The first objective is to minimize the sum of late work and resource consumption amount, while the second objective is to minimize the total late work with a constraint on the total resource consumption amount. We show that both problems can be solved in strongly polynomial time.

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Cite This Study

Choi et al. (2026) studied this question.

synapsesocial.com/papers/698585cb8f7c464f230096d7https://doi.org/10.1007/s11590-025-02275-5
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Single machine scheduling with the total weighted late work and rejection cost2024 · 2 citations
  2. 2Research on convex resource allocation scheduling with exponential time-dependent learning effects2024 · 8 citations
  3. 3Scheduling jobs to minimize a convex function of resource usage2024 · 1 citations
  4. 4Single Machine Scheduling of Coupled Task with Resource Consumption2026
  5. 5Solving the Multi-Criteria Problem: Total Completion Time, Total Late Work, Total Earliness Time, Maximum Earliness, and Maximum Tardine2024 · 1 citations