• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2004.11a
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• pp.256-260
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• 2004

As a large portion of defence budget are alloted for military facility construction, reasonable budget estimation in the planning stage has been officers' main concerns. However the proper estimation of construction cost is difficult to be carried out due to the absence of systematic criteria. To improve the budget estimation for military facility construction, this study proposes a cost index model which can convert historical cost to current cost. Thus the developed cost index would enhance effectiveness of budget estimation process 3nd support reasonable decision making. This cost index model is developed by analyzing historical cost data with statistical methodology The study is executed by following process. First, factors which affect construction cost for the most are selected by analyzing historical cost data. second, the selected factors are categorized material cost, labor cost and equipment cost, and weights of those factors are calculated by dividing the cost of each factor by total item costs. Last, cost index is developed by using weighted average method.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.494-496
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• 2013

Cost-Benefit Analysis (CBA) is a systematic optimization process that allows users to compare different alternatives and to determine if a project is a solid investment. Many state DOTs have included CBA in their pavement management systems (PMSs) to help allocate state funds for maintenance, rehabilitation, resurfacing, and reconstruction of pavements. In a typical CBA, each pavement type has an assigned weight factor which represents the level of importance of this pavement type. To conduct an accurate CBA, it is essential to select appropriate weight factors. Arbitrarily assigning weights factors to pavements can lead to biased and inaccurate funding allocation decisions. The purpose for this paper is to outline a method to develop an ideal set of weight factors that can be utilized to conduct more accurate CBA. To this end, a matrix of all possible weight factors sets was developed. CBA was conducted for each set of weight factors to obtain a population of possible optimization solutions. Then a regression analysis was performed to establish the relationship between benefit and weight factors. Finally, a multi-objective genetic algorithm was applied to select the optimal set of weight factors. The findings from this study can be used by state DOTs to strategically manage their roadway systems in a cost effective manner.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.507-510
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• 2006

Recently, the skyscrapers are increasing. There are major cost-increasing factors to management in the skyscraper construction. The more projects are large like the skyscraper construction, the more systematic methods and tools are needed for cost control. This study proposes an assessment model for major cost-increasing factors in skyscraper construction using FMEA.

• KIEAE Journal
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• v.9 no.1
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• pp.107-113
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• 2009

The energy cost is resulted from the energy use. Its sources are divided into some types and depended on the building use or energy-use type. The energy cost should be affected by the amount of the energy use. The cost could be calculated to consider various factors such as the insulation, heating type, building shape and others. But it can not consider all of the affect factors to the energy cost and need to categorize the factors to the condition for estimating the cost. In this paper, it aimed at providing the estimation model in linear equation and multiple linear regression, utilizing the building exterior condition and management characteristics in apartment housing. Its survey are conducted in two parts of management characteristics and building exterior condition. The correlation analysis is conducted to get rid of the multicolinearity among the inputted factors. The number of linear equation model is 11 and includes the 1st, 2nd and 3rd equation function, power function and others. Among these, it suggested the 2nd and 3rd function and power function in terms of the statistics. In multiple linear regression model, the building volume and management area are inputted to the estimation.

• 전기의세계
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• v.14 no.4
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• pp.8-17
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• 1965

Firstly, this study has analyzed the following factors affecting the optimum specifications and design of distributive transformers: 1. Facilities installation cost per unit power output. 2. Facilities operating & maintenance cost per unit power output. 3. Production cost per unit power output. 4. Load factor. 5. Loss factor. Secondly, it has clarified the relations between the following factors and the specifications and design of distributive transformers; 1. No-load loss., 2. Load loss., 3. Voltage regulation., 4. Exciting current. Finally, it has determined the method of the most economic design for the transformers using the above factors and relations, and, for optimum the illustrative purpose, suggested their optimum specifications, way of evaluation, and merits by means of typical example.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.17 no.32
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• pp.27-42
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• 1994

In the view point of accomplishing salesperson's management effectively, this study aims to find the relationship between salesperson's performance factors(Motivation, Role Perception, Ability) and turnover intention. The lowering of the turnover rate through this finding can reduce sales cost or marketing cost including the salesperson's education/training cost. Here, this study is researched empirically under the following hypothesis ; salesperson's turnover intention is affected by the performance factors originally This empirical research is based on theoritical background by Walker, Churchill, Ford and Jackofsky.

• Journal of Families and Better Life
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• v.28 no.6
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• pp.195-205
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• 2010

households using the 2007 Korean Retirement and Income Study. Elderly households were classified into three groups based on the comparisons among the costs of living and then the factors influencing the probability of belonging to each group were investigated using multiple logistic regression models. The major findings are as follows. Firstly, the subjective adequate cost of living was the highest and the subjective minimum cost of living was the lowest. The actual cost of living was in between. Secondly, 42.6% of elderly households belonged to Group1(whose actual cost of living was less than the subjective minimum cost of living), 30.0% was classified into Group2(whose actual cost of living was greater than the subjective minimum cost of living but less than the subjective adequate cost of living) and the actual cost of living of the remaining 27.4% was greater than the subjective adequate cost of living(Group3). Thirdly, income was the strongest factor influencing the probability of belonging to each group, but the influencing factors were different for the logistic models for Group1 and Group3 based on Group2.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2016.05a
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• pp.103-104
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• 2016

Most of studies on PC method aim at the structural analysis and development of PC members, and studies on the construction management aspect are insufficient. This study is a basic research in the construction management aspect regarding 'composite method using hollow-PC column' (HPC method), and is intended to develop assessment standards for the benefit·cost analysis of HPC method. Assessment standards for the benefit·cost analysis were composed of main-factors and sub-factors through interview with 4 experts. It was possible to classify main-factors into 4 major categories, i.e,. structural performance, construction performance, construction duration and construction cost. Sub-factors were composed of factors which were of high importance in assessing the two methods. And factors judged to be repeated or of little importance were excluded.

• Journal of Korean Society for Quality Management
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• v.26 no.1
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• pp.172-191
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• 1998

In this paper, dimension tolerance design for components is studied. Three cost factors are considered: machining cost, rework cost, and loss related to product quality which is affected by the tolerances of components. We propose a procedure to determine the optimal tolerances of components and a, pp.y the procedure to design the tolerances of fine motion stage in semicoduct machine. We compare the proposed procedure with the existing model for determining tolerance economically.

• Journal of Preventive Medicine and Public Health
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• v.56 no.5
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• pp.475-480
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• 2023

Objectives: This study examined differences in health care spending and characteristics among older adults in Korea by high-cost status (persistently, transiently, and never high-cost). Methods: We identified 1 364 119 older adults using data from the Korean National Insurance Claims Database for 2017-2019. Outcomes included average annual total health care spending and high-cost status for 2017-2019. Linear regression was used to estimate differences in the outcomes while adjusting for individual-level characteristics. Results: Persistently and transiently high-cost older adults had higher health care spending than never high-cost older adults, but the difference in health care spending was greater among persistently high-cost older adults than among transiently high-cost older adults (US$20 437 vs. 5486). Despite demographic and socioeconomic differences between transiently high-cost and never high-cost older adults, the presence of comorbid conditions remained the most significant factor. However, there were no or small differences in the prevalence of comorbid conditions between persistently high-cost and transiently high-cost older adults. Rather, notable differences were observed in socioeconomic status, including disability and receipt of Medical Aid. Conclusions: Medical risk factors contribute to high health care spending to some extent, but social risk factors may be a source of persistent high-cost status among older adults in Korea.