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A newsvendor analysis of a binomial yield production process

Authors
Choi, SungyongJeon, SuminKim, JinminPark, Kwangtae
Issue Date
16-3월-2019
Publisher
ELSEVIER SCIENCE BV
Keywords
Manufacturing; Yield management; Binomial yield production process; Newsvendor model; Normal approximation
Citation
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, v.273, no.3, pp.983 - 991
Indexed
SCIE
SCOPUS
Journal Title
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
Volume
273
Number
3
Start Page
983
End Page
991
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/66648
DOI
10.1016/j.ejor.2018.09.029
ISSN
0377-2217
Abstract
We 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.
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Graduate School > Department of Corporate Management > 1. Journal Articles
Korea University Business School > Department of Business Administration > 1. Journal Articles

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