Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/116811
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Title: Unbounded parallel-batch scheduling to minimize the total weighted tardy span
Authors: Chen, S
Chen, R
Yuan, J
Ng, CT 
Cheng, TCE 
Issue Date: Aug-2025
Source: Journal of industrial and management optimization, Aug. 2025, v. 21, no. 8, p. 5574-5593
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.
Keywords: Algorithms
NP-hard
Single machine
Total weighted tardy span
Unbounded parallel-batch scheduling
Publisher: AIMS Press
Journal: Journal of industrial and management optimization 
ISSN: 1547-5816
EISSN: 1553-166X
DOI: 10.3934/jimo.2025105
Rights: © 2025 The Author(s). Published by AIMS, LLC. This is an Open Access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
The following publication Shuaiyi Chen, Rubing Chen, Jinjiang Yuan, C. T. Ng, T. C. E. Cheng. Unbounded parallel-batch scheduling to minimize the total weighted tardy span. Journal of Industrial and Management Optimization, 2025, 21(8): 5574-5593 is available at https://doi.org/10.3934/jimo.2025105.
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