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New Results on Single-Machine Scheduling with Rejection to Minimize the Total Weighted Completion Time Cover

New Results on Single-Machine Scheduling with Rejection to Minimize the Total Weighted Completion Time

By: Liqi Zhang,  Xue Yu and  Lingfa Lu  
Open Access
|Feb 2024

Abstract

In this paper, we study eight single-machine scheduling problems with rejection and position-dependent parameters. We consider two position-dependent parameters as follows: (1) position-dependent weights and (2) position-dependent processing times. In addition, we also introduce a weight-modifying activity or a rate-modifying activity into our problems. In the first six problems, the task is to minimize the sum of the total weighted completion time of accepted jobs and the total rejection cost of rejected jobs. We show that all six problems can be solved in polynomial time. In the last two problems, the task is to minimize the total weighted completion time of accepted jobs under the constraint that the total rejection cost of rejected jobs can not exceed a given upper bound. We show that these two problems are binary NP-hard and each problem admits an FPTAS.

DOI: https://doi.org/10.2478/fcds-2024-0006 | Journal eISSN: 2300-3405 | Journal ISSN: 0867-6356
Language: English
Page range: 75 - 94
Submitted on: Feb 19, 2023
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Accepted on: Sep 12, 2023
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Published on: Feb 16, 2024
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2024 Liqi Zhang, Xue Yu, Lingfa Lu, published by Poznan University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.