• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2000년도 춘계학술대회
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• pp.77-86
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• 2000

This paper deals with the problem of determining the retailer's optimal price and order size under the condition of order-size-dependent delay in payments. It is assumed that the length of delay is a function of the retailer's total amount of purchase. The constant price elasticity demand function is adopted which is a decreasing function of retail price. Investigation of the properties of an optimal solution allows us to develop an algorithm whose validity is illustrated through an example problem.

• Journal of Information Technology Applications and Management
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• 제14권2호
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• pp.97-115
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• 2007

The present paper investigates the technological and conceptional characteristics of peering and transit in internet interconnection. Especially, the market with two ISP competing for customers is modeled and the outcome with peering is compared with transit. This paper also analyze the congestion effects on retail price and network capacity. When there is congestion effects occurring from network sharing, the retail price is increased and the fixed fee is decreased with the degree of congestion. Finally, the optimal access charge assuring the socially optimal retail price and network capacity is derived.

• 대한산업공학회지
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• 제29권3호
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• pp.239-246
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• 2003

Individual items are produced continuously from an industrial process. Each item is checked to determine whether it satisfies a lower screening limit for the quality characteristic which is the weight of an expensive ingredient. If it does, it is sold at a regular price; if it does not, it is reprocessed or sold at a reduced price. The process mean may be adjusted to a higher value in order to reduce the proportion of the nonconforming items. Using a higher process mean, however, may result in a higher production cost. In this paper, the optimal process mean and lower screening limit are determined in situations where the probability that an item functions well is given by a logistic function of the quality characteristic. Profit models are constructed which involve four price/cost components; selling prices, cost from an accepted nonconforming item, and reprocessing and inspection costs. Methods of finding the optimal process mean and lower screening limit are presented and numerical examples are given.

• 한국산학기술학회논문지
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• 제22권1호
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• pp.313-320
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• 2021

본 연구는 경남 밀양 깻잎 농업의 수급 및 가격 모형을 개발하고 정책 실험을 통해 밀양 깻잎 생산 농가의 총 소득을 극대화하는 적정 생산 규모를 전망한다. 분석 자료는 밀양 깻잎 농업의 총 소득과 관련된 22개년 시계열 자료(1996~2017년)가 이용되었다. 분석 방법은 수요 함수와 평균 비용 함수 추정을 통하여 적정 생산량과 가격을 산출하고 이를 통해 적정 소득을 도출하였다. 또한, 시나리오 분석을 통하여 2030년까지 예상되는 밀양 깻잎 최적 생산량과 이에 해당하는 판매 가격, 총 수입, 총 비용, 총 소득을 전망하였다. 밀양 깻잎 생산 농가 전체를 대상으로 총 소득을 극대화하기 위해서는 2017년에 7천 톤 규모인 밀양 깻잎 생산량을 2030년까지 10~12.5천 톤으로 증가시킬 필요가 있다. 이 경우 밀양 깻잎 농업에 귀속되는 총 소득은 133~213억 원 수준으로 전망된다. 앞으로 밀양 깻잎 생산자 단체는 본 연구에서 제시한 적정 생산 규모를 유지하여 농가에게 귀속하는 총 소득을 증대시키도록 노력해야 할 것이다.

• 한국산학기술학회논문지
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• 제14권9호
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• pp.4610-4615
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• 2013

본 연구에서는 중앙냉방시스템용 모형실험장치를 구성하여 에너지 소비량 및 전력사용요금의 절감을 위한 최적제어방법을 구현하여 실험적 연구를 수행하였다. 최적제어방법으로는 새벽시간의 예냉을 이용한 전력디맨드 응답제어와 외기온도변화를 고려한 외기보상제어방법 등을 고려하였으며, 제어알고리즘은 LabVIEW 프로그램을 이용하여 작성하였으며, 제어 및 모니터링을 통해 최적제어방법과 기존제어방법과의 제어성능을 비교 고찰하였다. 연구결과로서 본 연구에서 제시한 최적제어방법이 기존제어방법에 비해 양호한 응답특성을 나타냈으며, 에너지소비량은 약 9.5%, 전력요금은 약 15.7%를 각각 절감한 것으로 나타났다.

• Industrial Engineering and Management Systems
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• 제12권1호
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• pp.23-29
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• 2013

This paper presents inventory models for fresh agriculture products with time-varying deterioration rate. Due to the particularity of fresh agriculture products, the demand rate is a function that depends on sale price and freshness. The deterioration rate increases with time and is assumed to be a time-varying function. In the models, the inventory cycle may be constant or variable. The optimal solutions of models are discussed for different freshness and the deterioration rate. The results of experiments show that the profit depends on the freshness and deterioration rate of products. With the increasing inventory cycle, the sale price and profit increase at first and then start decreasing. Furthermore, when the inventory cycle is variable, the total profit is a binary function of the sale price and inventory cycle. There exist unique sale price and inventory cycle such that the profit is optimal. The results also show that the optimal sale price and inventory cycle depend on the freshness and the deterioration rate of fresh agriculture products.

• 한국산학기술학회논문지
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• 제7권2호
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• pp.231-237
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• 2006

2006년 3 월부터 보건복지부에서는 비급여 항목으로 환자의 부담이 컸던 환자식을 급여화하기로 함에 따라 입원환자에 제공하는 병원에서 제공하는 환자식 가격과 관련한 논란이 심화되고 있다. 본 연구는 과학적 방법으로 병원 모집단을 층화 추출한 후 71 개라는 많은 병원 자료를 이용해 급식 유형별 원가와 적정가격을 산정한 우리나라 최초의 연구이다. 활동원가계산과 상대가치 개념을 사용해 급식 유형별 원가를 산출 한 후, 급식 유형별 원가에 영향을 미치는 변수를 알아보았다. 환자식 가격에 영향을 미치는 가장 의미있는 변수는 급식종사인력과 급식 수이므로 보험수가에서는 이들 변수를 고려하여야 한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제6권12호
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• pp.3133-3151
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• 2012

The optimal price strategy selection of two bounded rational cognitive mobile virtual network operators (MVNOs) in a duopoly spectrum sharing market is investigated. The bounded rational operators dynamically compete to sell the leased spectrum to secondary users in order to maximize their profits. Meanwhile, the secondary users' heterogeneous preferences to rate and price are taken into consideration. The evolutionary game theory (EGT) is employed to model the dynamic price strategy selection of the MVNOs taking into account the response of the secondary users. The behavior dynamics and the evolutionary stable strategy (ESS) of the operators are derived via replicated dynamics. Furthermore, a reward and punishment mechanism is developed to optimize the performance of the operators. Numerical results show that the proposed evolutionary algorithm is convergent to the ESS, and the incentive mechanism increases the profits of the operators. It may provide some insight about the optimal price strategy selection for MVNOs in the next generation cognitive wireless networks.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2006년도 추계학술대회
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• pp.142-146
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• 2006

This paper considers a SCM issue concerned with an integrated problem of inventory control and dynamic pricing strategies when demands are price and time dependent. The associated price markdowns are conducted for inventory control in a two-layer market consisting of retailer and outlet as in fashion apparel market. The objective function consists of revenue terms (sales revenue and salvage value) and purchasing cost term. Specifically, decisions on price markdowns and order quantity are made to maximize total profit in the supply chain so as to have zero inventory level at the end of the sales horizon. To solve the proposed problem, a gradient method is applied, which shows an optimal decision on both the initial inventory level and the discount pricing policy. Sensitivity analysis is conducted on the demand parameters and the final comments on the practical use of the proposed model are presented.

• Communications for Statistical Applications and Methods
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• 제10권1호
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• pp.153-166
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• 2003

This study presents the time-divided forecasting model to integrate evolutionary optimization algorithm and change point detection based on artificial neural networks (ANN) for the prediction of (Korea) stock price index. The genetic algorithm(GA) is introduced as an evolutionary optimization method in this study. The basic concept of the proposed model is to obtain intervals divided by change points, to identify them as optimal or near-optimal change point groups, and to use them in the forecasting of the stock price index. The proposed model consists of three phases. The first phase detects successive change points. The second phase detects the change-point groups with the GA. Finally, the third phase forecasts the output with ANN using the GA. This study examines the predictability of the proposed model for the prediction of stock price index.