Parallel Machine Scheduling With Periodic Availability Constraints to Minimize Makespan

ABSTRACT We investigate the scheduling problem on parallel and identical machines under periodic availability constraints. Availability periods and unavailability periods appear alternately on each machine. We propose an algorithm, PFFD, and demonstrate that its worst‐case ratio is at most for , where represents the ratio of the duration of an unavailability period to an availability period. Furthermore, we develop the PPTAS algorithm, which can achieve a worst‐case ratio arbitrarily close to and runs in polynomial time when is a constant. When is part of the input, we show that there does not exist a polynomial time algorithm with worst‐case ratio better than unless .

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Publication Details

Journal
Naval Research Logistics (NRL)
Published
2025-10-21
DOI
https://doi.org/10.1002/nav.70019
Primary Topic
Scheduling and Optimization Algorithms
Type
article
Field-Weighted Citation Impact
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article

Parallel Machine Scheduling With Periodic Availability Constraints to Minimize Makespan

Zhiyi Tan, Lishi Yu
Naval Research Logistics (NRL)
Scheduling and Optimization Algorithms
article

Parallel Machine Scheduling With Periodic Availability Constraints to Minimize Makespan

Zhiyi Tan, Lishi Yu
article en

Abstract

ABSTRACT We investigate the scheduling problem on parallel and identical machines under periodic availability constraints. Availability periods and unavailability periods appear alternately on each machine. We propose an algorithm, PFFD, and demonstrate that its worst‐case ratio is at most for , where represents the ratio of the duration of an unavailability period to an availability period. Furthermore, we develop the PPTAS algorithm, which can achieve a worst‐case ratio arbitrarily close to and runs in polynomial time when is a constant. When is part of the input, we show that there does not exist a polynomial time algorithm with worst‐case ratio better than unless .

Naval Research Logistics (NRL)
Zhejiang University (CN)
Openalex Percentile: Top 57%
Scheduling and Optimization Algorithms
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