• 한국경영과학회지
• /
• 제34권3호
• /
• pp.71-84
• /
• 2009

This paper considers a remanufacturing and purchasing planning problem, in which either used products(or wastes) are remanufactured or remanufactured products(or final products) are purchased to satisfy dynamic demands of remanufactured products over a discrete and finite time horizon. Also, as remanufactured products are purchased more than or equal to a special quantity Q, a discount price policy is applied. The problem assumes that the related cost(remanufacturing and inventory holding costs of used products, and the purchasing and inventory holding costs of remanufactured products) functions are concave and backlogging is not allowed. The objective of this paper is to determine the optimal remanufacturing and purchasing policy that minimizes the total cost to satisfy dynamic demands of remanufactured products. This paper characterizes the properties of the optimal policy and then, based on these properties, presents a dynamic programming algorithm to find the optimal policy. Also, a network-based procedure is proposed for the case of a large quantity of low cost used products. A numerical example is then presented to demonstrate the procedure of the proposed algorithm.

• 대한전기학회논문지:전력기술부문A
• /
• 제49권5호
• /
• pp.220-225
• /
• 2000

As a competition is introduced in the electricity supply industry, a congestion problem arises in the transmission network. The congestion causes the transmission cost to increase. One way to decrease the congestion cost is to control the transmission flow through the installation of TCSC(Thyrister Controlled Series Capacitor). This paper deals with the optimal site of the TCSC for reducing the congestion cost using a shadow price which is one of the economic signals for the systems. Test results show that the site of the TCSC is optimal to minimize the congestion cost by the proposed algorithm.

• 품질경영학회지
• /
• 제34권2호
• /
• pp.12-21
• /
• 2006

This paper considers the problem of selecting the most profitable process mean for production processes where measurement errors exist in inspection systems. For such situations, a sequential inspection procedure is proposed to reduce measurement errors. The decision to accept, reject, or take an additional inspection of an item is made at every measurement point until the number of repeated measurements reaches its upper bound. An expected profit model is constructed and the optimal process mean, the cut-off values, and the upper bound of the number of repeated measurements are obtained when accepted(rejected) items are sold at regular(reduced) price. A numerical study is performed to investigate the performance of the proposed procedure.

• 품질경영학회지
• /
• 제28권2호
• /
• pp.1-16
• /
• 2000

This paper considers the problem of determining the optimal process mean and screening specification limits of a surrogate variable associated with product quality under two-stage screening procedure. In two-stage screening, the surrogate variable is inspected first to decide whether an item should be accepted, rejected or additional observations should be taken. If additional observations are required, the performance variable of interest is then observed to classify the undecided items. Assuming that the performance variable and the surrogate variable are jointly normally distributed, the optimal process mean and the screening limits are obtained by maximizing the expected profit which includes selling price, production, reprocessing, inspection and penalty costs. A numerical example is presented and numerical studies are performed to compare the proposed two-stage screening procedure with single-stage screening procedures.

• 경영과학
• /
• 제30권1호
• /
• pp.167-181
• /
• 2013

We investigate the dynamic asset allocation problem under inflation risk when the wealth of an investor is constrained with minimum requirements. To capture the investor's risk preference, the CRRA utility function is considered and he maximizes his expected utility at predetermined date of the refund by participation in the financial market. The financial market is supposed to consist of three kinds of financial instruments which are a risk free asset, a risky asset, and an index bond. The role of an index bond is managing inflation risk represented by price process. The optimal wealth and the optimal asset allocation are derived explicitly by using the method to get the European call option pricing formula. From the numerical results, it is confirmed that the investments on index bond is high when the investor's wealth level is low. However, as his wealth increases, the investments on index bond decreases and he invests on risky asset more. Furthermore, the minimum wealth constraint induces lower investment on risky asset but the effect of the constraints is reduced as the wealth level increases.

• 에너지공학
• /
• 제5권1호
• /
• pp.87-92
• /
• 1996

본 연구는 전력계통이 3개의 발전기로 구성되었고, 요금적용 시간대가 3개인 경우 동태적 최적화를 이용한 최적 가격 및 투자 정책을 도출하기 위한 것이다. 이를 위하여 최대원리법(Maximum Principle)을 이용하였으며, 종전에는 수요함수에서 고려되지 않았던 교차가격 탄력성을 수요함수에 포함시켰다. 분석 결과 다음과 같은 결론을 얻을 수 있다. 첫째, 설비가 충분한 경우 각 시간대의 최적 가격은 단기한계비용과 일치한다. 그러나 시간이 경과함에 따라 수요증가에 의하여 설비제약이 활성화되면 각 시간대의 가격은 설비비를 포함하는 장기한계비용 형태를 띄게 된다 둘째, 각 시간대에 있어서 발전기의 설비비의 분담은 요금적용 시간대의 길이에 의하여 영향을 받는다. 즉, 해당 시간대의 요금적용 시간대가 길어지면 길어질수록 해당시간대에 대응되는 설비의 설비비 분담은 감소하고, 짧아지면 질수록 설비분담은 높아지게 된다. 셋째, 동태적 분석에서의 설비투자는 기본적으로 각 시간대의 수요증가율과 같은 비율로 증가하며, 또한 신규설비 투자규모는 각 시간대의 투자설비를 서로 분담하게 된다.

• 한국경영과학회지
• /
• 제37권4호
• /
• pp.73-93
• /
• 2012

In recent years, service delivery systems employing a self-service approach have been rapidly spreading. Since a self-service system provides a lower product price, it attracts more customers. However, some system managers are still hesitant to accept a self-service system, because there is no systematic model to predict its performance. Therefore, this research attempts to provide a systematic and quantitative model to predict the performance of a self-service system, focused specifically on a self-service gas station. Under this model, the traditional queuing theory was adopted to describe the general self-service process, but it is also assumed that some changes occur in both the customer arrival rate and the service performance rate. In particular, the price elasticity was introduced to capture the change in the customer arrival rate, and the existence of learning effect and helpers were assumed to design the changed service performance rate. Under these assumptions, a simulation model for a self-service gas station is established, and three performance measurements, such as average number of customers, average waiting time, and Utilization are observed, depending on the changes in price difference and helper-operating time. In this research, the optimal operation strategy for price differentiation and helper-operating time is proposed in accordance with the level of the customer learning rate. Although this research confines the scope of the study to the self-service gas station model, the results of this research can be applied to any type of self-service system.

• 자원ㆍ환경경제연구
• /
• 제18권4호
• /
• pp.745-766
• /
• 2009

특정 산업의 시장지배력을 측정할 때 일부 생산 투입요소의 시장가격이 존재하지 않을 경우 한계시장비용을 초과한 가격 markup으로 판단한 수치는 현실을 왜곡시킬 수 있다. 투입된 모든 생산요소의 가격들의 함수인 비용함수를 추정하는 데 있어서 총 시장비용에서 이들 투입요소에 대한 지출비용이 누락되면 완전경쟁산업에서의 시장가격이 한계시장비용을 초과하는 상황이 발생한다. 한국 제조업의 경우 원재료의 시장가격이 존재하지 않을 뿐만 아니라 관련 자료의 부족으로 공해저감자본의 가격지수를 산정하는 것이 거의 불가능하다. 본 논문에서는 환경규제를 받는 한국 철강산업의 시장지배력에 대한 가격 markup 추정치의 신뢰성을 제고하기 위하여 최적 수준의 원재료와 공해저감자본의 투입량을 전제로 제약비용함수를 도출한 후 공급관계식과 함께 연립방정식으로 추정하였다. 공급가격에 대한 시장지배력 markup의 비율로 측정한 국내 철강산업의 시장지배도는 1982년부터 2001년까지 연평균 0.49로서, 환경규제를 고려하지 않을 경우 약 8% 과대평가되는 것으로 나타났다.

• 한국축산식품학회지
• /
• 제37권5호
• /
• pp.663-669
• /
• 2017

This study were estimated the contribution of carcass traits to unit price, to analyze the marbling score as a categorical variable rather than a numerical variable, and to develop an optimal model that also includes the holiday effect and the raising period. The data for this study were acquired from the Quality Evaluation of the Korea Institute for Animal Products, and consisted of the trading records of 1,613,699 heads at 12 wholesale markets from 2010 to 2014. The unit price of a cow was estimated from the following parameters: -52.50 Won/mm, $8.93Won/cm^2$, 7.20 Won/kg, and -1.04 Won/day for backfat thickness, eye muscle area, carcass weight, and raising period, respectively. Parameters for the dummy variables of marbling scores varied from 0 to 8328.74 Won/kg, which means that each marbling score grade had a different price value. The unit price of a steer was estimated from the following parameters: - 92.12 Won/mm, $20.22Won/cm^2$, 1.30 Won/kg, and -1.72 Won/day for backfat thickness, eye muscle area, carcass weights, and raising period, respectively. Parameters for dummy variables of marbling scores varied from 0 to 7338.80 Won/kg, which means that the grades of each marbling score had different price values. The unit price of sales during traditional holidays was significantly higher (827.71 Won/kg for cows, and 645.15 Won/kg for steers) than during non-holidays.We conclude that the use of categorical values for marbling scores would be needed to evaluate the price of Hanwoo beef using multiple regression analysis based on carcass traits and environmental factors.

• 정보처리학회논문지:소프트웨어 및 데이터공학
• /
• 제7권10호
• /
• pp.387-396
• /
• 2018

과거부터 주식시장의 주가 예측은 풀리지 않는 난제이다. 이를 과학적으로 예측하기 위해 다양한 시도 및 연구들이 있어왔지만 정확한 가격을 예측하는 것은 불가능하다. 최근 분산 원장이라는 개념을 기술적으로 구현한 최초의 암호화폐인 비트코인을 시작으로 다양한 종류의 암호화폐가 개발되면서 암호화폐 시장이 형성되었고, 그 가격을 예측하기 위해 다양한 접근들이 시도되고 있다. 특히, 기존의 전통적인 주식시장에서의 주가 예측 기법들을 적용하려는 시도부터 딥러닝과 강화학습을 적용하려는 시도까지 다양하다. 하지만 암호화폐 시장은 기존 주식 시장에는 없던 여러 가지 새로운 특징을 가지는 시장으로서 전통적인 주식 시장 분석 기술뿐만 아니라 암호화폐 시장에 적합한 새로운 분석 기술에 관한 수요가 증가하고 있는 상황이다. 본 연구에서는 우선 빗썸의 API를 통하여 7개의 암호화폐 가격 데이터를 수집 및 가공하였다. 이후, Data-Driven 방식의 지도학습 기반 기계학습 모델인 그래디언트 부스팅 모델을 채택하여 암호화폐 가격 데이터 변화를 학습하고, 검증단계에서 가장 최적의 모델 파라미터를 산출하고, 최종적으로 테스트 데이터를 활용하여 암호화폐 가격동향 예측 성능을 평가한다.