AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (3.9 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Open Access | Just Accepted

On-Line Scheduling with a Non-Renewable Resource Under Periodic Supply

Libo Wang1Wenhua Li1( )Ran Lin1Xing Chai2

1 the School of Mathematics and Statistics, Zhengzhou University, Zhengzhou 450001, China.

2 the School of Mathematics and Statistics,Henan University of Technology, Zhengzhou 450001, China.

Show Author Information

Abstract

This is the first paper to address an on-line scheduling problem with a non-renewable resource. Resource is supplied with known quantity periodically. The jobs arriving on-line over time have the same basic processing time and the same required quantity of resource. Each job is revealed until its release time, and a scheduler makes decision without the information of future jobs. If the available quantity of the resource satisfies the resource requirement, a job is processed with the basic processing time by consuming the resource requirement. Otherwise, the job can be processed with deterioration under a longer processing time  by consuming the insufficient resource quantity. The objective is to minimize the makespan. For this problem on a single machine, we derive a lower bound on the competitive ratio by adversary strategy, and provide a best possible on-line algorithm with a competitive ratio of 1+α, where α is the positive root of α2+3α=1.

Tsinghua Science and Technology
Cite this article:
Wang L, Li W, Lin R, et al. On-Line Scheduling with a Non-Renewable Resource Under Periodic Supply. Tsinghua Science and Technology, 2025, https://doi.org/10.26599/TST.2024.9010221

81

Views

19

Downloads

0

Crossref

0

Web of Science

0

Scopus

0

CSCD

Altmetrics

Received: 13 July 2024
Revised: 12 October 2024
Accepted: 04 November 2024
Available online: 27 February 2025

© The author(s) 2025

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).

Return