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Young H. Chun

Researcher at Louisiana State University

Publications -  46
Citations -  730

Young H. Chun is an academic researcher from Louisiana State University. The author has contributed to research in topics: Secretary problem & Optimal decision. The author has an hindex of 15, co-authored 45 publications receiving 689 citations. Previous affiliations of Young H. Chun include University of Chicago & College of Business Administration.

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A poisson regression model for two‐attribute warranty policies

TL;DR: The two‐attribute warranty policy in which two types of warranty characteristics, such as product age and mileage in the y‐year‐m‐mile protection plan in the automobile industry, are employed simultaneously as criteria in determining the warranty eligibility of a failed product is discussed.
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Optimal pricing and ordering policies for perishable commodities

TL;DR: A multi-period pricing model is proposed for the case where the seller can divide the sales period into several short periods and determine the optimal product price based on the demand rate, buyers' preferences, and length of theSales period.
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Cost analysis of two-attribute warranty policies based on the product usage rate

TL;DR: Several decision models that estimate the expected total cost incurred under various types of two-attribute warranty policies and a sensitivity analysis is performed to study the effects of several model parameters, such as the discount rate, the product usage rate, and the warranty terms, on the total warranty cost.
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Determining the optimal warranty price based on the producer's and customers' risk preferences

TL;DR: In this article, the authors propose a model for the free-replacement, fixed-period warranty policy that determines the optimal warranty price for a given warranty period, and derive the decision model that maximizes the producer's certainty profit equivalent.
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Sequential decisions under uncertainty in the R&D project selection problem

TL;DR: In this article, the sequential decision problem of optimally sequencing a set of projects which must be undertaken sequentially over time is considered, and the optimal ordering strategy for two special cases, a series system of tasks in which the selection process is terminated as soon as one of the tasks is failed, and a parallel system of alternatives in which selection process continues until any of the alternatives is completed successfully, is derived.