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Flow shop scheduling problems with transportation constraints revisited.

Authors :
Lan, Yan
Yuan, Yuan
Wang, Yinling
Han, Xin
Zhou, Yong
Source :
Theoretical Computer Science. Feb2024, Vol. 985, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

This paper investigates two flow shop scheduling problems with two machines A and B , and a single transporter V. In the first problem, the transporter V is located at machine A initially, each job has to be processed first on A , then transported to B for further processing. While in the second problem, the transporter V is located at machine B initially, each job needs to be processed first on A , then on B , finally transported to the destination. In both problems, the transporter V can carry up to c (where c is a constant and c ≥ 1) jobs at a time and the objective is to minimize the makespan. For the former problem, the best approximation algorithm guarantees a worst-case ratio bound of (5 3 + ε) , while for the latter one, the best approximation algorithm provides a worst-case ratio bound of 2. For each problem, we design a polynomial-time approximation scheme (PTAS). [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03043975
Volume :
985
Database :
Academic Search Index
Journal :
Theoretical Computer Science
Publication Type :
Academic Journal
Accession number :
174579518
Full Text :
https://doi.org/10.1016/j.tcs.2023.114349