Unbounded parallel-batch scheduling to minimize the total weighted tardy span

For the unbounded parallel-batch scheduling on a single machine, we consider a new criterion, the total weighted tardy span of jobs, where the tardy span of a job is its completion time if it is tardy and is 0 if it is early. From the literature, the general problem is NP-hard and can be solved in pseudo-polynomial time. When the jobs are released at time 0, we show that the problem is NP-hard and present three pseudo-polynomial-time algorithms and computational experiments that show the performances of the three algorithms. Moreover, for the two cases, (ⅰ) the jobs are released at different times and the number of different processing times is a constant and (ⅱ) the jobs are released at time 0 and have a common due date, we present polynomial-time algorithms.

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Publication Details

Journal
Journal of Industrial and Management Optimization
Published
2025-01-01
DOI
https://doi.org/10.3934/jimo.2025105
Primary Topic
Scheduling and Optimization Algorithms
Type
article
Field-Weighted Citation Impact
0.00

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article

Unbounded parallel-batch scheduling to minimize the total weighted tardy span

S. H. Chen, T.C.E. Cheng, C.T. Ng, Jinjiang Yuan et al.
Journal of Industrial and Management Optimization
Scheduling and Optimization Algorithms
article

Unbounded parallel-batch scheduling to minimize the total weighted tardy span

S. H. Chen, T.C.E. Cheng, C.T. Ng, Jinjiang Yuan, Rubing Chen
article en

Abstract

For the unbounded parallel-batch scheduling on a single machine, we consider a new criterion, the total weighted tardy span of jobs, where the tardy span of a job is its completion time if it is tardy and is 0 if it is early. From the literature, the general problem is NP-hard and can be solved in pseudo-polynomial time. When the jobs are released at time 0, we show that the problem is NP-hard and present three pseudo-polynomial-time algorithms and computational experiments that show the performances of the three algorithms. Moreover, for the two cases, (ⅰ) the jobs are released at different times and the number of different processing times is a constant and (ⅱ) the jobs are released at time 0 and have a common due date, we present polynomial-time algorithms.

Journal of Industrial and Management OptimizationVol. 21(8)
Hong Kong Polytechnic University (HK), Zhengzhou University (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Foundation of Henan Educational Committee
Openalex Percentile: Top 80%
Scheduling and Optimization Algorithms
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