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Hark Hwang

Researcher at KAIST

Publications -  112
Citations -  3751

Hark Hwang is an academic researcher from KAIST. The author has contributed to research in topics: Heuristic (computer science) & Remanufacturing. The author has an hindex of 34, co-authored 112 publications receiving 3574 citations.

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Retailer's pricing and lot sizing policy for exponentially deteriorating products under the condition of permissible delay in payments

TL;DR: This article deals with the problem of determining the retailer's optimal price and lot size simultaneously when the supplier permits delay in payments for an order of a product whose demand rate is represented by a constant price elasticity function.
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An optimal ordering and recovery policy for reusable items

TL;DR: In this article, a joint EOQ and EPQ model was proposed to solve the problem of the stationary demand can be satisfied by recycled products and newly purchased products, where the recovered products were regarded as perfectly new ones.
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Optimal pricing and ordering policies for retailers under order-size-dependent delay in payments

TL;DR: This paper forms two types of mathematical models from which algorithms are derived based on properties of an optimal solution of the retailer's optimal price and order size simultaneously under the condition of order-size-dependent delay in payments.
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An optimal credit policy to increase supplier's profits with price dependent demand functions

TL;DR: In this article, the problem of determining an optimal length of credit period from the perspective of a supplier was considered and two widely used demand functions were adopted for the study in which demands are decreasing functions of the retail price.

Theory and Methodology Joint price and lot size determination under conditions of permissible delay in payments and quantity discounts for freight cost

TL;DR: In this article, the problem of determining the retailer's optimal price and lot size simultaneously under conditions of permissible delay in payments is investigated, and an algorithm whose validity is illustrated through an example problem is developed.