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Title: Single-machine scheduling with deadlines to minimize the total weighted late work
Authors: Chen, R
Yuan, J
Ng, CT 
Cheng, TCE 
Issue Date: Oct-2019
Source: Naval research logistics, Oct. 2019, v. 66, no. 7, p. 582-595
Abstract: We consider scheduling a set of jobs with deadlines to minimize the total weighted late work on a single machine, where the late work of a job is the amount of processing of the job that is scheduled after its due date and before its deadline. This is the first study on scheduling with the late work criterion under the deadline restriction. In this paper, we show that (i) the problem is unary NP-hard even if all the jobs have a unit weight, (ii) the problem is binary NP-hard and admits a pseudo-polynomial-time algorithm and a fully polynomial-time approximation scheme if all the jobs have a common due date, and (iii) some special cases of the problem are polynomially solvable.
Keywords: Approximation algorithm
Deadlines
Due dates
Late work
NP-hardness
Publisher: John Wiley & Sons
Journal: Naval research logistics 
ISSN: 0894-069X
EISSN: 1520-6750
DOI: 10.1002/nav.21869
Rights: © 2019 Wiley Periodicals, Inc.
This is the peer reviewed version of the following article: Chen, R., Yuan, J., Ng, C. T., & Cheng, T. C. E. (2019). Single‐machine scheduling with deadlines to minimize the total weighted late work. Naval Research Logistics, 66(7), 582-595, which has been published in final form at https://doi.org/10.1002/nav.21869. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited.
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