• Journal of Information Technology Services
• /
• v.18 no.4
• /
• pp.67-82
• /
• 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
• /
• v.36 no.5
• /
• pp.528-535
• /
• 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)

• Journal of Korean Institute of Industrial Engineers
• /
• v.43 no.1
• /
• pp.30-38
• /
• 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.

• The Transactions of the Korea Information Processing Society
• /
• v.4 no.6
• /
• pp.1401-1417
• /
• 1997

The major objective of this study is to propose an estimation method for the equipment operating cost in the data center outsourcing situation. To accomplish the objective, the fundamental concepts about the outsourcing pricing is first established by analyzing the previous research in this area. Then an actual case of data center outsourcing is evaluated. Based on the conceptual model and the actual case, a new method is proposed. Validity of the proposed method is verified by the quantitative comparison with the previous method. Reasonability and usefulness of the method were evaluated through the customer survey.

• Journal of the Korea Society for Simulation
• /
• v.17 no.3
• /
• pp.19-26
• /
• 2008

In this paper, we propose a dynamic prediction algorithm to predict the bond price using actual data set of treasure note (T-Note). The proposed algorithm is based on term structure model of the interest rates, which takes place in various financial modelling, such as the standard Gaussian Wiener process. To obtain cumulative distribution functions (CDFs) of actual data for the interest rate measurement used, we use the natural cubic spline (NCS) method, which is generally used as numerical methods for interpolation. Then we also use the random number generation scheme (RNGS) to calculate the pricing of bond through the obtained CDF. In empirical computer simulations, we show that the lower values of precision in the proposed prediction algorithm corresponds to sharper estimates. It is very reasonable on prediction.

• Proceedings of the Korean Institute Of Construction Engineering and Management
• /
• 2007.11a
• /
• pp.499-502
• /
• 2007

The government abolished the existing method to calculate the construction price by the quantity take-off and pricing. It has introduced a new estimating system which uses the actual cost data on the basis of actual contract unit price. However, in the case of the current method to calculate the estimate price of BTL educational facilities, it is difficult to prepare an accurate ground for calculating unit prices due to a lack of standardized work breakdown structure (WBS) and guidelines for the detailed bidding documents. Thus, this research aims to establish WBS using the actual construction price on the basis of the actual bidding documents for the previous construction of BTL educational facilities. This specific WBS can be differentiated from the general WBS which is not suited for construction of the educational facility. It makes possible to build the construction information classification system and it helps to systemize the maintenance and repair cost items.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.62 no.1
• /
• pp.21-28
• /
• 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.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.58 no.1
• /
• pp.1-6
• /
• 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.

• International conference on construction engineering and project management
• /
• 2013.01a
• /
• pp.459-466
• /
• 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.

• The Journal of the Korea Contents Association
• /
• v.21 no.12
• /
• pp.34-46
• /
• 2021

In the domestic data exchanging market, unreasonable pricing of purchase data is consistently mentioned as a major obstacle in data trading. This is a problem caused by the inability to properly evaluate the value of data products due to lack of product information and experience in using them. In order to activate trading, the data exchanges need to provide information that allows consumers to comprehensively judge the value of data products in addition to prices. The cost-based, income-based, and market-based methods, which are mainly applied to data valuation, are insufficient as data valuation methods to stimulate trading and distribution because only price information, a result of valuation from a supplier's point of view, can be shared with consumers. This study aims to develop a measurable valuation method that allows data trading stakeholders (exchanges, suppliers, and consumers) to judge and share the value of data products from a common perspective. To this end, we identified the value drivers of data products, which are considered important in overseas data exchanges and related research, and derived an evaluation method that can quantitatively measure each value driver. In addition, evaluation criteria in the form of a rating table were developed using data products for transactions, and a value evaluation index was developed through stratification analysis (AHP) to enable relative value comparison. As a result of applying the evaluation criteria to actual data products, it was found that the evaluation values were differentiated according to the characteristics of individual data products, so it could be used as a relative value comparison tool.