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Minimising total weighted completion time for semi-online single machine scheduling with known arrivals and bounded processing times.

Authors :
Nouinou, Hajar
Arbaoui, Taha
Yalaoui, Alice
Source :
International Journal of Production Research; Mar2024, Vol. 62 Issue 6, p2272-2285, 14p
Publication Year :
2024

Abstract

This paper addresses the semi-online scheduling problem of minimising the total weighted completion time on a single machine, where a combination of information on jobs release dates and processing times is considered. In this study, jobs can only arrive at known future times and a lower bound on jobs processing times is known in advance. A new semi-online algorithm is presented and is shown to be the best possible for the considered problem. In order to make this statement, a new lower bound on the competitive ratio of any semi-online algorithm for the problem is developed and, using competitive analysis, the proposed semi-online algorithm is shown to have a competitive ratio that matches the lower bound. [ABSTRACT FROM AUTHOR]

Subjects

Subjects :
SCHEDULING
MACHINERY
ALGORITHMS

Details

Language :
English
ISSN :
00207543
Volume :
62
Issue :
6
Database :
Complementary Index
Journal :
International Journal of Production Research
Publication Type :
Academic Journal
Accession number :
175361730
Full Text :
https://doi.org/10.1080/00207543.2023.2217294