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dc.contributor.author최성용-
dc.date.accessioned2019-08-26T02:32:35Z-
dc.date.available2019-08-26T02:32:35Z-
dc.date.issued2019-03-
dc.identifier.citationEUROPEAN JOURNAL OF OPERATIONAL RESEARCH , v. 273 , NO.3 , Page. 983-991en_US
dc.identifier.issn0377-2217-
dc.identifier.issn1872-6860-
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0377221718308051?via%3Dihub-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/109915-
dc.description.abstractWe study a binomial yield production process using a newsvendor approach by considering the mismatch costs between a given demand and a non-defective yield amount. Using a normal approximation, we reformulate the original discrete and exact model as a continuous and approximate model. We conduct a comparative static analysis of the parameters in the approximate model and derive the monotone properties of the (approximate) optimal solution in the case that the given demand is sufficiently large. The analytical results are all consistent with our insights and are also supported by economic explanations. Our numerical study with sample-based optimization indicates that the approximate model is sufficiently close to the exact model in most real-world examples, with some limiting cases included. Then, a simple and naive solution is found to have significant suboptimality. Finally, the results of a sensitivity analysis of the model parameters are confirmed numerically. (C) 2018 Elsevier B.V. All rights reserved.en_US
dc.description.sponsorshipThis work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2017S1A5A8021391).en_US
dc.language.isoenen_US
dc.publisherELSEVIER SCIENCE BVen_US
dc.subjectManufacturingen_US
dc.subjectYield managementen_US
dc.subjectBinomial yield production processen_US
dc.subjectNewsvendor modelen_US
dc.subjectNormal approximationen_US
dc.titleA newsvendor analysis of a binomial yield production processen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.ejor.2018.09.029-
dc.relation.journalEUROPEAN JOURNAL OF OPERATIONAL RESEARCH-
dc.contributor.googleauthorChoi, Sungyong-
dc.contributor.googleauthorJeon, Sumin-
dc.contributor.googleauthorKim, Jinmin-
dc.contributor.googleauthorPark, Kwangtae-
dc.relation.code2019045137-
dc.sector.campusS-
dc.sector.daehakSCHOOL OF BUSINESS[S]-
dc.sector.departmentDIVISION OF BUSINESS ADMINISTRATION-
dc.identifier.pidsungyongchoi-
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GRADUATE SCHOOL OF BUSINESS[S](경영전문대학원) > BUSINESS ADMINISTRATION(경영학과) > Articles
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