• 한국경영과학회지
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• 제14권1호
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• pp.51-58
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• 1989

A joint economic ordering problem between supplier and customer has been formulated where a supplier has to pay the freight cost which follows the principle of economy of scale. An algorithm is given to determine order size and price simultaneously which give gains to both parties. A scenario is presented within which both parties come to a mutual agreement on the revised order size and price by utilizing quantity discount schedule.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2003년도 하계학술대회 논문집 A
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• pp.596-598
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• 2003

본 논문에서는 CBP 가격을 기반으로, TWBP시장의 가격을 분석하였다. KPX가 발표한 SMP와 수요예측자료로 누적입찰자료를 추정하었으며, 이를 이용하여 계획예방정비에 따른 TWBP가격 변동을 시뮬레이션 하였다.

• 한국경영과학회지
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• 제35권4호
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• pp.33-53
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• 2010

When purchase prices of a raw material fluctuate over time, the total purchasing cost is mainly affected by reordering time. Existing researches focus on deciding the right time when the demand for each period is replenished at the lowest cost. However, the decision is based on expected future prices which usually turn out to include some error. This discrepancy between expected prices and actual prices deteriorates the performance of inventory models dealing with fluctuating purchase prices. In this paper, we propose a new inventory model which incorporates not only cost but also risk into making up a replenishment schedule to meet each period's demand. For each replenishment schedule, the risk is defined to be the variance of its total cost. By introducing the risk into the objective function, the variability of the total cost can be mitigated, and eventually more stable replenishment schedule will be obtained. According to experimental results from crude oil inventory management, the proposed model showed better performance over other models in respect of variability and cost.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2001년도 춘계학술대회 논문집
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• pp.66-71
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• 2001

Most payments in domestic construction are issued in lumpsum unit price contracts according to the completed construction rate. This method generates problems in losing time and increased costs for the owner and contactor. In overseas projects, payments are issued in accordance to completed milestones. The milestones themselves base on the original schedule and allow effective schedule management on the tasks. In domestic construction, however, introduction of milestone payments requires enhanced management capability of owners and contractors. Hence, this study investigating how to activate schedule management devices to analyze progress payments in domestic construction.

• 자원ㆍ환경경제연구
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• 제25권1호
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• pp.113-140
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• 2016

한 가지의 용량가격만으로는 발전용량 설비투자에 대한 안정적 보상과 시장 기능 유지라는 두 가지 목표를 동시에 달성하기 힘들다. 본 논문은 이런 한계를 극복할 수 있도록 복수의 용량가격을 도입하여 용량가격의 비중을 높이면서 동시에 시장 기능을 유지할 수 있는 이원적 용량가격 제도를 제안한다. 즉, 현재 가스터빈 발전기를 기준으로 하면서 행정적으로 결정되는 용량가격을 그대로 유지하면서, 동시에 LNG복합발전기를 대상으로 한 제2의 용량가격을 도입한다. 이 용량요금은 더 낮은 에너지 가격 상한의 적용을 받으며, 상이한 전원들 사이의 대체관계를 고려한 수요와 용량공급 상황을 반영하도록 설계함으로써 시장 기능을 유지하게 한다.

• Journal of Electrical Engineering and Technology
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• 제12권6호
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• pp.2166-2176
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• 2017

Electricity price prediction plays a crucial part in making the schedule and managing the risk to the competitive electricity market participants. However, it is a difficult and challenging task owing to the characteristics of the nonlinearity, non-stationarity and uncertainty of the price series. This study proposes a hybrid improved strategy which incorporates data preprocessor components and a forecasting engine component to enhance the forecasting accuracy of the electricity price. In the developed forecasting procedure, the Seasonal Adjustment (SA) method and the Ensemble Empirical Mode Decomposition (EEMD) technique are synthesized as the data preprocessing component; the Coupled Simulated Annealing (CSA) optimization method and the Least Square Support Vector Regression (LSSVR) algorithm construct the prediction engine. The proposed hybrid approach is verified with electricity price data sampled from the power market of New South Wales in Australia. The simulation outcome manifests that the proposed hybrid approach obtains the observable improvement in the forecasting accuracy compared with other approaches, which suggests that the proposed combinational approach occupies preferable predication ability and enough precision.

• 보건행정학회지
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• 제13권4호
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• pp.84-98
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• 2003

This research objective is to determine the optimal price break points for n­block tariff, because comparing non­linear pricing with uniform pricing on the basis of profit, n­block tariff outperforms two­part tariff, all unit discount price schedule, and uniform pricing. Although the merits of non­linear pricing are well documented, the attempt to practice the non-linear pricing in medical service sector has been relatively rare. The determination of the parameters under n­block tariff is the interesting decision making agenda for marketers. Under n­block tariff, the marketers should decide the optimal price break points and the optimal marginal price for each price zone. The results can be summarized as follows: The researchers found that mixture model can be the feasible methodology for determining the optimal number of n­block tariff and identifying the optimal segmentation criteria. We demonstrate the feasibility and the superiority of the mixture model by applying it to the database of medical examination. The results appear that the number of patients per month can be the optimal segmentation variable. And 6­block tariff is the optimal price break for this medical service.

• 수산경영론집
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• 제46권3호
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• pp.129-141
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• 2015

Because land based aquaculture is restricted by high investment per rearing volume and control cost, good management planning is important in Land-based aquaculture system case. In this paper master production planning was made to decide the number of rearing, production schedule and efficient allocation of water resources considering biological and economic condition. The purpose of this article is to build the mathematical decision making model that finds the value of decision variable to maximize profit under the constraints. Stocking and harvesting decisions that are made by master production planning are affected by the price system, feed cost, labour cost, power cost and investment cost. To solve the proposed mathematical model, heuristic search algorithm is proposed. The model Input variables are (1) the fish price (2) the fish growth rate (3) critical standing corp (4) labour cost (5) power cost (6) feed coefficient (7) fixed cost. The model outputs are (1) number of rearing fish (2) sales price (3) efficient allocation of water pool.

• 한국건설관리학회논문집
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• 제14권5호
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• pp.144-152
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• 2013

최근 건설프로젝트가 대형화되면서 건설사들은 PMIS(Project Management Information System)를 이용하여 대부분의 관리업무를 수행한다. 특히, 건설공사 수행과정에서 가장 빈번한 정보입출력이 발생하는 진도관리 기능은 PMIS의 여러 기능 중 가장 효율적으로 운영되어야 한다. 그러나 PMIS 내에서 입력되는 정보가 대부분 중복입력 없이 운영되고 있음에도 불구하고, 진도관리를 위한 데이터는 비용과 일정 정보의 개별 입력을 통해 관리되고 있는 실정이다. 따라서 물가상승, 설계변경 등에 의해 비용과 일정이 변경되는 사항에 대한 정보가 연계되지 못하여 진도측정의 부정확성과 PMIS에서 관리해야할 데이터의 증가를 유발한다. 이와 같은 문제를 해결하기 위해서 진도측정방법의 개선과 이를 기반으로 한 PMIS 진도관리 모듈의 구현이 요구되고 있다. 이에 본 논문에서는 수량산출정보 기반의 비용-일정 통합 진도측정방법과 비용-일정 통합관리에 필요한 PMIS 공통관리항목을 기반으로 한 PMIS 진도관리 개선 모듈을 제시하고자 한다.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회/대한산업공학회 2005년도 춘계공동학술대회 발표논문
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• pp.904-913
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• 2005

This paper deals with an integrated problem of inventory control and dynamic pricing strategies for a commodity with price and sales-period dependent demand pattern, where a seller and customers have complete information of each other. The problem consists of two parts; one is each buyer's benefit problem which makes the best decision on price and time for buyer to purchase items, and the other one is a seller's profit problem which decides an optimal sales strategy concerned with inventory control and discount schedule. The seller's profit function consists of sales revenue and inventory holding cost functions. The two parts are closely related into each other with some related variables, so that any existing general solution methods can not be applied. Therefore, a simplified model with single seller and two customers in considered first, where demand for multiple units is allowed to each customer within a time limit. Therewith, the model is generalized for a n-customer-classes problem. To solve the proposed n-customer-set problem, a dynamic programming algorithm is derived. In the proposed dynamic programming algorithm, an intermediate profit function is used, which is computed in case of a fixed initial inventory level and then adjusted in searching for an optimal inventory level. This leads to an optimal sales strategy for a seller, which can derive an optimal decision on both an initial inventory level and a discount schedule, in $O(n^2)$ time. This result can be used for some extended problems with a small customer set and a short selling period, including sales strategy for department stores, Dutch auction for items with heavy holding cost, open tender of materials, quantity-limited sales, and cooperative buying in the on/off markets.