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Rolling Horizon을 적용한 발전용 유연탄 조달 최적화 모델의 민감도 분석

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dc.contributor.author장남철-
dc.contributor.author박현지-
dc.contributor.author황승준-
dc.date.accessioned2021-06-22T14:44:37Z-
dc.date.available2021-06-22T14:44:37Z-
dc.date.issued2017-12-
dc.identifier.issn2005-7776-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/10668-
dc.description.abstractThe purpose of this study is to contribute to the cost competitiveness of domestic power generation companies against uncertainties such as raw material price volatility. Specifically, we created and analyzed scenarios based on how fluctuations in demand changes in inventory holdings, how ship size decision affects the cost of inventory, and the variations of transportation costs influences the amount of raw material to be purchased by the region. To derive the results reflecting the reality, we based on the existing optimization model on minimizing the total cost and by using the real data of a power generation company in Korea. Technically we applied a rolling horizon technique and estimated the effects of rising temperature on the amount of raw materials to be imported.-
dc.format.extent15-
dc.language한국어-
dc.language.isoKOR-
dc.publisher한국경영공학회-
dc.titleRolling Horizon을 적용한 발전용 유연탄 조달 최적화 모델의 민감도 분석-
dc.title.alternativeA sensitivity analysis for the procurement of bituminous coal using the rolling horizon of an optimization model-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.doi10.35373/KMES.22.4.2-
dc.identifier.bibliographicCitation한국경영공학회지, v.22, no.4, pp 13 - 27-
dc.citation.title한국경영공학회지-
dc.citation.volume22-
dc.citation.number4-
dc.citation.startPage13-
dc.citation.endPage27-
dc.identifier.kciidART002303438-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorPower Generation Industry-
dc.subject.keywordAuthorTransportation Logistics Optimization-
dc.subject.keywordAuthorRolling Horizon-
dc.subject.keywordAuthorPlanning Horizon-
dc.identifier.urlhttps://kiss.kstudy.com/Detail/Ar?key=3568800-
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