Algorithms for Flow Shop with Job–Dependent Buffer Requirements Full article
Journal |
Lecture Notes in Networks and Systems
ISSN: 2367-3370 , E-ISSN: 2367-3389 |
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Output data | Year: 2022, Volume: 363 LNNS, Pages: 63-74 Pages count : 12 DOI: 10.1007/978-3-030-92666-3_6 | ||||
Tags | Buffer; Flow shop; Heuristics; Makespan | ||||
Authors |
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Affiliations |
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Funding (2)
1 | Russian Foundation for Basic Research | 20-07-00458 |
2 | Sobolev Institute of Mathematics | 0314-2019-0014 |
Abstract:
The paper is concerned with algorithms for the two-machine flow shop, where each job needs storage space (a buffer) during the entire time of its processing. The buffer requirement is determined by the duration of job’s first operation. The goal is to minimise the time needed for the completion of all jobs. This scheduling problem is NP-hard in the strong sense. Recently, the polynomial-time algorithms were developed for particular cases of this problem. In this paper, we discuss two heuristics based on these polynomial-time algorithms and compare them with other efficient heuristics.
Cite:
Kononov A.
, Memar J.
, Zinder Y.
Algorithms for Flow Shop with Job–Dependent Buffer Requirements
Lecture Notes in Networks and Systems. 2022. V.363 LNNS. P.63-74. DOI: 10.1007/978-3-030-92666-3_6 Scopus РИНЦ OpenAlex
Algorithms for Flow Shop with Job–Dependent Buffer Requirements
Lecture Notes in Networks and Systems. 2022. V.363 LNNS. P.63-74. DOI: 10.1007/978-3-030-92666-3_6 Scopus РИНЦ OpenAlex
Identifiers:
Scopus: | 2-s2.0-85121928891 |
Elibrary: | 47546999 |
OpenAlex: | W4200145621 |
Citing:
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