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Avtomatika i Telemekhanika, 2020, Issue 5, Pages 60–90
DOI: https://doi.org/10.31857/S0005231020050050
(Mi at15484)
 

This article is cited in 1 scientific paper (total in 1 paper)

Topical issue

Optimality region for job permutation in single-machine scheduling with uncertain processing times

Yu. N. Sotskov

United Institute of Informatics Problems, National Academy of Sciences of Belarus, Minsk, Belarus
Full-text PDF (849 kB) Citations (1)
References:
Abstract: The problem of scheduling optimally a given set of jobs on a single machine is studied. The lower and upper bounds on the admissible duration of each job are known. The optimality criterion of the schedule is the minimum total completion time of a given set of jobs. Some properties of the optimality region for a job permutation are investigated. Polynomial algorithms for constructing the optimality region for a job permutation and also for calculating the volume of this region are developed. The existence conditions of an empty optimality region for a job permutation are determined. A criterion for the existence of a job permutation with the maximum possible volume of the optimality region is established.
Keywords: scheduling theory, uncertain processing times, minimum total completion time, optimality region for job permutation.
Presented by the member of Editorial Board: A. A. Lazarev

Received: 03.07.2019
Revised: 14.10.2019
Accepted: 28.11.2019
English version:
Automation and Remote Control, 2020, Volume 81, Issue 5, Pages 819–842
DOI: https://doi.org/10.1134/S0005117920050045
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: Yu. N. Sotskov, “Optimality region for job permutation in single-machine scheduling with uncertain processing times”, Avtomat. i Telemekh., 2020, no. 5, 60–90; Autom. Remote Control, 81:5 (2020), 819–842
Citation in format AMSBIB
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Linking options:
  • https://www.mathnet.ru/eng/at15484
  • https://www.mathnet.ru/eng/at/y2020/i5/p60
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Avtomatika i Telemekhanika
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    Abstract page:140
    Full-text PDF :25
    References:29
    First page:7
     
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