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Some positive news on the proportionate open shop problem Научная публикация

Журнал Сибирские электронные математические известия (Siberian Electronic Mathematical Reports)
, E-ISSN: 1813-3304
Вых. Данные Год: 2019, Том: 16, Страницы: 406-426 Страниц : 21 DOI: 10.33048/semi.2019.16.023
Ключевые слова Dynamic programming; Makespan minimization; Open shop; Polynomial time heuristic; Power of preemption; Proportionate; Scheduling
Авторы Sevastyanov S.V. 1
Организации
1 Sobolev Institute of Mathematics, 4, Koptyuga ave., Novosibirsk, 630090, Russian Federation

Реферат: The special case of the open shop problem in which every job has equal length operations on all machines is known as a proportionate open shop problem. The problem is NP-hard in the case of three machines, which makes topical such traditional research directions as designing efficient heuristics and searching for efficiently solvable cases. In this paper we found several new efficiently solvable cases (wider than known) and designed linear-time heuristics with good performance guarantees (better than those known from the literature). Besides, we computed the exact values of the power of preemption for the three-machine problem, being considered as a function of a parameter γ (the ratio of two standard lower bounds on the optimum: the machine load and the maximum job length). We also found out that the worst-case power of preemption for the m-machine problem asymptotically converges to 1, as m tends to infinity. Finally, we established the exact complexity status of the threemachine problem by presenting a pseudo-polynomial algorithm for its solution. © 2019, Sobolev Institute of Mathematics.
Библиографическая ссылка: Sevastyanov S.V.
Some positive news on the proportionate open shop problem
Сибирские электронные математические известия (Siberian Electronic Mathematical Reports). 2019. V.16. P.406-426. DOI: 10.33048/semi.2019.16.023 WOS Scopus OpenAlex
Идентификаторы БД:
Web of science: WOS:000462734100001
Scopus: 2-s2.0-85071185670
OpenAlex: W3015953147
Цитирование в БД:
БД Цитирований
Scopus 9
OpenAlex 8
Web of science 6
Альметрики: