Single machine scheduling with the total weighted late work and rejection cost

Abstract We study a single machine scheduling problem with the total weighted late work and the total rejection cost. The late work of a job is the part of this job executed after its due date, and the rejection cost of a job is the fee of rejecting to process it. We consider a Pareto scheduling and two restricted scheduling problems. The Pareto scheduling problem aims to find all non‐dominated values of the total weighted late work and the total rejection cost. The restricted scheduling problems are dedicated to minimizing the total weighted late work with the total rejection cost not greater than a given threshold, and minimizing the total rejection cost with the total weighted late work not greater than a given threshold, respectively. For the Pareto scheduling problem, we prove that it is binary NP‐hard by providing a pseudo‐polynomial time algorithm, and give a fully polynomial time approximation scheme (FPTAS). For the restricted scheduling problems, we prove that there are no FPTASes unless , which answers an open problem. Moreover, we develop relaxed FPTASes for these two restricted scheduling problems.

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Publication Details

Journal
Naval Research Logistics (NRL)
Published
2024-08-15
DOI
https://doi.org/10.1002/nav.22222
Citations
4
Primary Topic
Scheduling and Optimization Algorithms
Type
article
Field-Weighted Citation Impact
1.40

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article

Single machine scheduling with the total weighted late work and rejection cost

Yao‐Wen Sang, Małgorzata Sterna, Jacek Błażewicz, Junqiang Wang
4 citations
Naval Research Logistics (NRL)
Scheduling and Optimization Algorithms
1.40
article

Single machine scheduling with the total weighted late work and rejection cost

Yao‐Wen Sang, Małgorzata Sterna, Jacek Błażewicz, Junqiang Wang
article en
4 citations

Abstract

Abstract We study a single machine scheduling problem with the total weighted late work and the total rejection cost. The late work of a job is the part of this job executed after its due date, and the rejection cost of a job is the fee of rejecting to process it. We consider a Pareto scheduling and two restricted scheduling problems. The Pareto scheduling problem aims to find all non‐dominated values of the total weighted late work and the total rejection cost. The restricted scheduling problems are dedicated to minimizing the total weighted late work with the total rejection cost not greater than a given threshold, and minimizing the total rejection cost with the total weighted late work not greater than a given threshold, respectively. For the Pareto scheduling problem, we prove that it is binary NP‐hard by providing a pseudo‐polynomial time algorithm, and give a fully polynomial time approximation scheme (FPTAS). For the restricted scheduling problems, we prove that there are no FPTASes unless , which answers an open problem. Moreover, we develop relaxed FPTASes for these two restricted scheduling problems.

Naval Research Logistics (NRL)Vol. 72(2)
Northwestern Polytechnical University (CN), Institute of Bioorganic Chemistry, Polish Academy of Sciences (PL), Poznań University of Technology (PL), Nanjing University of Aeronautics and Astronautics (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Decent work and economic growth
Openalex Percentile: Top 17%
Scheduling and Optimization Algorithms
1.40
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Single machine scheduling with the total weighted late work and rejection cost — Yao‐Wen Sang, Małgorzata Sterna, et al. · Naval Research Logistics (NRL) (2024) | TGRS Research Map | TGRS