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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/10373
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dc.contributor.authorSotskov, Y. N.-
dc.contributor.authorEgorova, N. G.-
dc.date.accessioned2016-11-28T09:07:03Z-
dc.date.accessioned2017-07-27T12:25:10Z-
dc.date.available2016-11-28T09:07:03Z-
dc.date.available2017-07-27T12:25:10Z-
dc.date.issued2014-
dc.identifier.citationSotskov, Y. N. Minimizing total flow time under uncertainty using optimality and stability boxes / Y. N. Sotskov, N. G. Egorova // Sequencing and Scheduling With Inaccurate Data (Applied Statistica Science) / editors: Y. N. Sotskov, Werner Frank. – New York : Nova Publishers, 2014. – P. 345–376.ru_RU
dc.identifier.urihttps://libeldoc.bsuir.by/handle/123456789/10373-
dc.description.abstractIn this chapter, we apply the stability method to the scheduling problem under un- certain (interval) processing times. A set of n jobs has to be scheduled on a single machine to minimize the weighted sum of the job completion times. The processing time pi of each job Ji, i = 1, 2, . . . , n, is not known before scheduling. The factual time pi can take any real value between the lower bound and the upper bound, which are only known before scheduling. The applied stability approach combines a stabil- ity analysis, a multi-stage decision framework, and a solution concept of a minimal dominant set of the job permutations.ru_RU
dc.language.isoenru_RU
dc.publisherNew York Nova Publishersru_RU
dc.subjectпубликации ученыхru_RU
dc.subjectодностадийное обслуживания требованийru_RU
dc.subjectнеопределенность длительностей обслуживания требованийru_RU
dc.subjectметод основанный на устойчивостиru_RU
dc.subjectsingle-machine schedulingru_RU
dc.subjectuncertain processing timesru_RU
dc.subjectstability methodru_RU
dc.titleMinimizing total flow time under uncertainty using optimality and stability boxesru_RU
dc.typeArticleru_RU
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