• 한국IT서비스학회지
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• 제18권4호
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• pp.67-82
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• 2019

The purpose of this study is to improve the calculation method of the software operation pricing proposed by the software business price calculation guide from 'input manpower method' to 'rate calculation method'. The software operation pricing of the input manpower method is not objectively calculated in the domestic IT outsourcing situation where the statistical data based on the activity based estimating is insufficient and it is decided by agreement between the owner and the client. In addition, there was no standard for adjusting the productivity according to the characteristics of the operation service. In order to improve this, an operational correction factor item that can affect the software operation productivity was selected based on foreign and domestic standards, and it was confirmed through the first questionnaire to IT operation managers. In order to determine the level of difficulty of the fixed operational correction factors, the operational correction factor using AHP technique was confirmed through a second questionnaire for pairwise comparison. The operational difficulty calculation table was developed with reference to COCOMO and ITIL standards. Finally, we propose a new pricing scheme that reflects the operating rate. Regression analysis was carried out by collecting the data of the domestic public institutions on the estimated cost and the actual cost calculated from the new rate method software operation pricing. The results of the regression analysis show that the estimated cost and the actual cost are related to each other. Mean magnitude of relative error(MMRE) and PRED[25] analysis were added for accuracy analysis. MMRE and PRED also showed satisfactory results, confirming the possibility of replacing the rate method software operation pricing.

• Journal of Nutrition and Health
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• 제36권5호
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• pp.528-535
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• 2003

The purposes of this study were: 1) to investigate the operational and financial characteristics of contract-managed high school food services in Seoul, 2) to analyze the financial performance of high school food services 3) to develop guidelines for meal pricing and facilities investment costs. From Oct to Nov 2001, questionnaires were mailed to 249 high schools that were managed by contract food service companies. A 40.2％ response rate was recorded. The results of this study were as follows: 1. Student enrollment in high schools run by contract-managed food services was 1,518, with a 68.5％ participation rate in the school lunch program. The average meal price was 2,141 won. 2. Based on the income statement analysis, average total sales were 410,440,504 won and average net profit was 16,098,558 won. 3. The optimum food cost per meal was 1,200-1,300 won per meal, calculating using the methods of conversion factor, RDA (Recommended Daily Allowance), and nutrient exchange unit. 4. Guidelines for meal pricing were developed using the modified actual pricing method based on facilities investment cost, number of meals and food cost. The ratio of labor cost, general management expenses and ordinary profit were adopted from the schools with liability. The food cost, depreciation and interest cost were calculated based on unit meal. 5. The guideline for facilities investment was developed based on the number of meals, meal price and food cost. The guideline included the maximum facilities investment cost paid by the contract food service management company. (Korean J Nutrition 36(5): 528∼535, 2003)

• 대한산업공학회지
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• 제43권1호
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• pp.30-38
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• 2017

Contingent convertible (Coco) bonds have been issued in 2009 after financial crisis for improvement of capital structure in international banks. With more focuses on coco bonds in financial market, academic fields have paid attention to the instrument for optimal structure for issuers and rational pricing methodologies. However, there is a crucial discrepancy in prevailing pricing model and their target subjects. Though most of the coco bonds have been issued based on accounting triggers, many of existing models are based on market prices and therefore exhibit limitations in practical use. In this paper, a more practical pricing method for accounting triggered coco bonds is proposed using stochastic equity ratio process. Empirical results tested on coco bond issued by JB financial group supported the proposed approach with favorable performance in tracking actual market prices.

• 한국정보처리학회논문지
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• 제4권6호
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• pp.1401-1417
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• 1997

본 연구는 데이터 센터 Outsourcing에 관련된 비용 중에서 가장 산정하기 복잡하고 곤란한 기기 운영 비용을 합리적으로 산정할 수 있는 방법을 제시한다. 이를 위해서 Outsourcing 관련 문헌 조사를 통해 Outsourcing 비용 산정의 기본적인 개념을 정립하고 실제적인 Outsourcing 사례를 분석하여 기기 운영 비용을 합리적으로 산출할 수 있는 새로운 방법을 제시한다. 그리고 제시된 비용 산정 방법은 기존 방법과의 정량적인 비교 분석을 통하여 타당성을 검증하고 고객사의 담당자들을 대상으로 설문조사를 실시하여 새로운 비용 산정 방법의 합리성과 유용성을 실증적으로 검증한다.

• 한국시뮬레이션학회논문지
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• 제17권3호
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• pp.19-26
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• 2008

본 논문에서는 중기 국채(Treasure Note; T-Note)의 실제 자료를 이용하여 채권 가격에 대한 이자율을 예측하는 동적인 예측 알고리즘을 제안하고 있다. 제안한 알고리즘은 이자율 기간 구조를 근본으로 하고 있으며 표준 위너 과정(standard Wiener process)과 같은 다양한 금융 모형의 대안으로 활용 가능하다. 본 논문에서는 실제 자료의 누적 분포 함수(Cumulative Distribution Function; CDF)를 이용하여 이자율을 측정하였으며 CDF는 수치적 방법인 보간법 중에 자주 활용되는 내츄럴 큐빅 스플라인(natural cubic spline; NCS)방법을 통하여 얻었다. 위에서 얻은 CDF를 통하여 난수 생성기법(random number generation scheme; RNGS)을 이용하여 채권의 가격를 계산하였다. 컴퓨터 시뮬레이션을 통해 얻은 실험결과로부터 제안된 예측 알고리즘에서 엄밀도(precision)의 낮은 값을 얻음으로써 채권의 가치가 더욱 예리하고 정확하게 평가되었음을 확인할 수 있었으며, 이는 매우 근거 있는 예측이라 할 수 있다.

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2007년도 정기학술발표대회 논문집
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• pp.499-502
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• 2007

정부는 기존의 품셈에 의한 예정가격 산정 방식을 폐지하고, 실적계약 단가를 근거로 하는 실적공사비 적산제도를 도입하여 시행중에 있다. 그러나 현재 BTL 교육시설물 예정가격 산정방법의 경우 표준화된 작업분류체계(WBS : Work Breakdown Structure) 및 내역서 작성지침의 부족으로 인하여 단가 산정에 정확한 근거 마련이 힘든 실정이다. 따라서 본 연구에서는 BTL로 발주된 교육시설물의 내역서를 바탕으로 BTL 교육시설물의 실적공사비 적용을 위한 작업분류체계(WBS : Work Breakdown Structure) 구축을 목적으로 한다. 이를 통해 일반 시설물과는 다른 특징을 가지는 교육시설물 분류체계를 구축하고 이를 이용한 공사비 항목 및 유지보수비 항목의 체계화가 가능할 것으로 예상된다.

• 전기학회논문지
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• 제62권1호
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• pp.21-28
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• 2013

The paper proposes an optimal sizing method of a customer's battery energy storage system (BESS) which aims at managing the electricity demand of the customer to minimize electricity cost under the time of use(TOU) pricing. Peak load limit of the customer and charging and discharging schedules of the BESS are optimized on annual basis to minimize annual electricity cost, which consists of peak load related basic cost and actual usage cost. The optimal scheduling is used to assess the maximum cost savings for all sets of candidate capacities of BESS. An optimal size of BESS is determined from the cost saving curves via capacity of BESS. Case study uses real data from an apartment-type factory customer and shows how the proposed method can be employed to optimally design the size of BESS for customer demand management.

• 전기학회논문지
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• 제58권1호
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• pp.1-6
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• 2009

The traditional demand prediction was based on the technique wherein electric power corporations made monthly or seasonal estimation of electric power consumption for each area and subscription type for the next one or two years to consider both seasonally generated and local consumed amounts. Note, however, that techniques such as pricing, power generation plan, or sales strategy establishment were used by corporations without considering the production, comparison, and analysis techniques of the predicted consumption to enable efficient power consumption on the actual demand side. In this paper, to calculate the predicted value of electric power consumption on a short-term basis (15 minutes) according to the amount of electric power actually consumed for 15 minutes on the demand side, we performed comparison and analysis by applying a 15-minute interval prediction technique to the average and that to the time series analysis to show how they were made and what we obtained from the simulations.

• 국제학술발표논문집
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• The 5th International Conference on Construction Engineering and Project Management
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• pp.459-466
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• 2013

Risk exists in all construction projects and resides among the collection of subcontractors and their array of individual activities. Wherever risk resides, the interrelation of participants to one another becomes paramount for the way in which risk is measured. Inherent risk becomes recognizable and quantifiable within network schedules in the form of consuming float - the flexibility to absorb delays. Allocating, owning, valuing, and expending such float in network schedules has been debated since the inception of the critical path method itself. This research investigates the foundational element of a three-part approach that examines how float can be traded as a commodity, a concept whose promise remains unfulfilled for lack of a holistic approach. The Capital Asset Pricing Model (CAPM) of financial portfolio theory, which describes the relationship between risk and expected return of individual stocks, is explored as an analogy to quantify the inherent risk of the participants in construction projects. The inherent relationship between them and their impact on overall schedule performance, defined as schedule risk -the likelihood of failing to meet schedule plans and the effect of such failure, is matched with the use of CAPM's beta component - the risk correlation measure of an individual stock to that of the entire market - to determine parallels with respect to the inner workings and risks represented by each entity or activity within a schedule. This correlation is the initial theoretical extension that is required to identify where risk resides within construction projects, allocate and commoditize it, and achieve actual tradability.

• 한국콘텐츠학회논문지
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• 제21권12호
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• pp.34-46
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• 2021

국내 데이터 거래시장은 구매데이터의 불합리한 가격책정이 데이터 거래 시의 주요 애로사항으로 지속적으로 언급되고 있다. 이는 상품정보 및 사용경험 부족으로 인해 데이터상품의 가치를 제대로 평가할 수 없는데서 발생한 문제로, 데이터 거래소는 거래활성화를 위해 가격 외에 수요자가 데이터상품의 가치를 종합적으로 판단할 수 있는 정보 제공이 필요하다. 데이터 가치평가에 주로 적용되는 원가기반, 수익기반, 시장기반 평가방법은 공급자 관점에서의 가치평가결과인 가격정보만 수요자와 공유가능하기 때문에 거래 및 유통을 활성화하기 위한 데이터가치평가방법으로는 부족한 점이 있다. 본 논문은 데이터거래 이해관계자(거래소, 공급자, 수요자)가 공통된 시각으로 데이터상품의 가치를 판단하고 공유할 수 있는 측정가능한 가치평가방법을 개발하는 것을 목표로 한다. 이를 위해 해외 데이터거래소 및 관련 연구에서 중요하게 생각하고 있는 데이터상품의 가치동인을 파악하고, 가치동인별로 정량적 측정이 가능한 평가방식을 도출하였다. 또한, 거래용 데이터상품을 활용하여 평점표 형식의 평가기준을 개발하고, 상대적 가치비교가 가능하도록 계층화분석(AHP)을 통해 가치평가지수를 개발하였다. 실제 데이터상품에 평가기준을 적용할 결과, 개별 데이터상품의 특성에 따라 가치평가값이 차별화됨에 따라 가치비교도구로 활용가능함을 알 수 있었다.