Please use this identifier to cite or link to this item: https://er.chdtu.edu.ua/handle/ChSTU/350
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dc.contributor.authorЄгорова, Ольга В'ячеславівна-
dc.date.accessioned2019-05-05T17:48:47Z-
dc.date.available2019-05-05T17:48:47Z-
dc.date.issued2014-
dc.identifier.issn1314-6416-
dc.identifier.issn1314-6432-
dc.identifier.urihttp://er.chdtu.edu.ua/handle/ChSTU/350-
dc.description.abstractIn this paper economic order quantity model with two level of trade credit in one replenishment cycle, time value of money, inspection errors, planned backorders, and sales returns is offered. In those problem demand rate, selling price for good quality items, selling price for defective items, interest paid rate and interest earned rate consider as fuzzy variable. Following expected value model criterion and a fuzzy expected value model are constructed. Fuzzy simulations are employed to estimate the expected value of fuzzy variable and maximum return on sale. In order to solve the fuzzy expected value model, a genetic algorithms based on the fuzzy simulation is designed.uk_UA
dc.language.isoenuk_UA
dc.publisherInformation Models and Analysesuk_UA
dc.subjectEOQuk_UA
dc.subjectimperfect qualityuk_UA
dc.subjectmisclassification errorsuk_UA
dc.subjectdeterioration itemsuk_UA
dc.subjectinventory backorderinguk_UA
dc.subjecttrade credituk_UA
dc.subjectfuzzy simulationuk_UA
dc.subjectgenetic algorithmuk_UA
dc.titleFuzzy expected value model with inspection errors and two level of trade credit in one replenishment cycleuk_UA
dc.typeArticleuk_UA
dc.citation.volume3uk_UA
dc.citation.issue1uk_UA
dc.citation.spage37uk_UA
dc.citation.epage52uk_UA
Appears in Collections:Наукові публікації викладачів (ФІТІС)

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