A newsvendor analysis of a binomial yield production process

Title
A newsvendor analysis of a binomial yield production process
Author
최성용
Keywords
Manufacturing; Yield management; Binomial yield production process; Newsvendor model; Normal approximation
Issue Date
2019-03
Publisher
ELSEVIER SCIENCE BV
Citation
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH , v. 273 , NO.3 , Page. 983-991
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.
URI
https://www.sciencedirect.com/science/article/pii/S0377221718308051?via%3Dihubhttps://repository.hanyang.ac.kr/handle/20.500.11754/109915
ISSN
0377-2217; 1872-6860
DOI
10.1016/j.ejor.2018.09.029
Appears in Collections:
GRADUATE SCHOOL OF BUSINESS[S](경영전문대학원) > BUSINESS ADMINISTRATION(경영학과) > Articles
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