• Journal of the Korean Society for Railway
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• v.19 no.1
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• pp.77-86
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• 2016

Before urban railway vehicles reach their design life-span, operating agencies should determine when to buy new vehicles. Previous LCC (Life Cycle Cost) studies were limited because they independently focused on existing vehicles based on costs that directly impacted only the operating agency without considering effects such as social costs and the reduction of maintenance costs. Thus, it is difficult to systematically determine when to buy new vehicles. This study investigated the operating and maintenance related costs, especially from additional expenses and social costs due to unexpected vehicle failures and safety accidents, and did an economic analysis of scenarios with different discount rates. Considering that the public is very concerned about safety after the Sewol ferry accident, additional costs, which include social costs, should be included in the analysis. This study shows that the economic priority of scenarios may change depending on whether those costs are included and on the discount rate. The results of this study can help in the decision-making process for the planning and buying of new trains.

• International Journal of Highway Engineering
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• v.13 no.3
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• pp.147-156
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• 2011

Since the urbanization process has been taking place, negative outcomes such as environmental pollution and traffic congestion have produced as well. Reflecting the phenomenon, our study assumed that physical structure of urban form were implicit in relation to both economic performance and cost. It can be interpreted that as the urban space has been growing bigger, economic performances such as regional product output, economy of scale and the effect of agglomeration economies are increased. On the contrary, the negative effects such as environmental pollution and traffic congestion were incurred as economic loss and expenses. It means that even though economic performance can help increase regional product output, we should consider the loss on economic expenses which are paid for social problems such as environmental pollution and traffic congestion, which are caused by urbanization. Therefore, this study aims to statistically validate the relationship between traffic congestion as the most representative economy costs and physical characteristics of urban in a large city such as Seoul and to suggest its implications. As a result of model development for empirical analysis, GRDP(0.604), the population(0.582), employment GINI coefficients(0.296), population GINI coefficients(0.254) in order led to congestion cost. We can come to the conclusion that in case of scale factor such as the population, if the population tends to concentrate, urban becomes more crowded and that if GINI coefficients (the population, employment) which are variable on inequality according to region have the disparity with surrounding areas, congestion cost is caused a lot on account of movement related with employment. In addition, this phenomenon was caused if both the population and employment were geographically biased on one side.

• The Journal of the Convergence on Culture Technology
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• v.6 no.2
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• pp.191-197
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• 2020

As an effective means of price discrimination, some suppliers offer trade credit to the distributors for the purpose of increasing the demand of the product they produce. The availability of the delay in payments from the supplier enables discount of the distributor's selling price from a wider range of the price option in anticipation of increased customer's demand. In this regard, we consider the problem of determining the distributor's optimal price and lot size simultaneously when the supplier permits delay in payments for an order of a product whose demand rate is represented by a constant price elasticity function. It is assumed that the distributor pays the shipping cost for the order and hence, the distributor's ordering cost consists of a fixed ordering cost and the shipping cost that depend on the order quantity. For the analysis, it is also assumed that inventory is depleted not only by customer's demand but also by decay. We are able to develop a solution algorithm from the properties of the mathematical model. A numerical example is presented to illustrate the algorithm developed.

• Journal of Digital Convergence
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• v.11 no.6
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• pp.175-185
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• 2013

For effective information sharing, data provenance semantics need to be managed effectively. Based on a scheme to represent data provenance semantics, we propose a model to calculate information sharing costs. Information sharing costs are derived from probabilities of type I and type II errors that occur in organizational information sharing, costs related to these errors, and information sharing distances between organizational units which are determined by information sharing workflows. We apply the model to various types of information sharing workflows including departmental information systems, hierarchical information systems, a hub and a stand-alone system. The calculated information sharing costs show that the hub with data standardization is best in information sharing; however without standardization its information sharing cost deteriorates to that of a departmental information system. And, any information sharing workflow is better than a stand-alone system. It is proved that the model is useful in analyzing effectiveness of information sharing workflows and their characteristics.

• KIPS Transactions on Computer and Communication Systems
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• v.2 no.1
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• pp.27-34
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• 2013

IT has been receiving increasing attention for cloud computing services. However, despite a lot of attention, there are limitations of existing research on cloud computing services. There are researches respectively about the benefits and costs that would occur if you choose a cloud computing services. However, in real life, consumers should be considered about the benefits and costs at the same time if they choose and use a cloud computing service. Therefore, this study examines the interaction effect of benefits and costs on cloud computing service. The findings demonstrate that three independent variables(usefulness, social influence, and innovativeness) positively(+) affect the perceived value. However, showed the benefits and costs of interaction effects analysis, usefulness and innovation on the cost influence the perceived value in statistics. The interaction of the usefulness & cost shows negative(-) effect and the interaction of the innovativeness & cost has positve(+) effect on the perceived value. In conclusion, this study provide that consumers need to consider costs with benefits when they use a cloud computing service.

• Korean Journal of Construction Engineering and Management
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• v.14 no.5
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• pp.44-54
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• 2013

As a green construction is a world-wide hot issue, Korean government is also putting forth a multilateral effort into reducing energy usage with setting aggressive goal under green growth policy. It is essential to analyse cost raised from designing and building green construction and benefit derived from the built facility for the sustainable green construction. However, compared to advanced countries in terms of green construction, there is lack of data and a systematic way for data collection and analysis in Korea. Without analyzing the cost-benefit of green construction, investors will hesitate to put his/her money into green construction and we can not expect its growth in construction industry. In this paper, cost of green construction was defined and categorized. Through case studies and various reports on cost-benefit analysis in advanced green construction countries, problems in terms of data collection and analysis in domestic green construction sector and improvement ways were suggested. The results of this study will contribute in classification of cost and benefit of green construction, data collection in systematic way, and increasing the feasibility of green construction via appropriate analysis on cost-benefit of green construction.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.4
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• pp.365-373
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• 2019

An Image Infra-Red(IIR) seeker is widely used for precision guided munitions to provide intelligent and precise target detection in terms of high kill probability. However, there have been issues in determining the performance versus cost trade-offs due to high cost of seeker comparing to other units of the munitions. In this paper, performance/cost evaluations have been carried out to find the most cost-effective solution for developing the IIR seekers. The relationships between the critical parameters and cost are investigated to determine the optimal point which represents the low cost with high performance. It is expected that the presented approach will be able to be used for guidelines to select the appropriate IIR seeker for the given operating conditions and can be useful to estimate the cost effectiveness of the precision guided munitions at early design stage.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.301-313
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• 2021

The automotive industry is facing a paradigm shift, changing from owning to sharing and from manufacturing to service. However, it is hard to conclude that the economic value of smart mobility service is always positive to users. Cost related to owing or share a vehicle is very hard to estimate from the perspective of potential users as well as the benefit of the service. Focusing on the cost side of the story, this study develops a cost estimating model based on three main factors: electrification, advanced driving assistant systems (ADAS) function, and participation of ride-sharing service. As a result of the model analysis, low cost was estimated as a result when receiving cost benefits such as electrification and ride-sharing participation. Various factors were analyzed through sensitivity analysis also. These results can provide useful insights into the cost prediction and strategies for potential users and manufacturers on smart mobility service market.

• Korean Journal of Psychosomatic Medicine
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• v.26 no.1
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• pp.26-34
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• 2018

Objectives : This study tried to explore the prevalence of chronic physical diseases in patients with schizophrenia and its effects on total medical costs. Methods : The Health Insurance Review and Assessment Service data in 2014-2015 was employed. Only the injuries and diseases, identically diagnosed 3 times or more as a major or minor injury and disease, were classified into chronic physical diseases to improve data accuracy. Total medical costs included out-of-pocket and insurer's costs from health care system perspective. Results : It was shown that 24.5%, 17.3% and 23.4% of schizophrenia patients had one, two and three or more chronic physical diseases, respectively. There was a high prevalence of not only metabolic, but also musculoskeletal, diseases in those patients. The amount of 2015 total medical costs of patients with schizophrenia in 2014 was about 1.08 trillion won. The factors affecting the costs included sex, age, number of chronic physical diseases, and health insurance status. Conclusions : It is considered that clinical practice guidelines based on personal diseases may not sufficiently solve the problems for comorbidities in schizophrenia patients. Accordingly, it should be required to develop models for new types of medical systems capable of treating and caring varied illnesses at the same time.

• Korean Journal of Construction Engineering and Management
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• v.19 no.5
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• pp.3-9
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• 2018

Although Life Cycle Cost (LCC) must be evaluated by experts, sometimes it may not allow a sufficient time for even the experienced LCC expert to make rational decisions. Therefore, it often ends with relatively comparing the final numbers. We have broken down 110 technical proposals that are actually bade and accepted for large construction projects, and then have analyzed the uncertainty of Maintenance and Energy (M&E) cost during building life cycle, which turns out be the most volatile factor in uncertainty of LCC. Also we suggest "Value Engineering Index (VEI)" - the reduced M&E cost that is normalized by the reduced first cost. It is analyzed that the most uncertain factors of the M&E cost include repair and replacement term differing from each project, duplicated repair and replacement, non-standard repair items, and site-specific energy cost. Eventually we propose a VEI population with a mean of 1.38 and a standard deviation of 1.19, which is obtained by individually and exclusively applying the uncertain factors of the M&E cost to the 35 standard sample of technical proposals. The LCC evaluators may be able to use the VEI population as the benchmark to select the technical proposal with the most reasonable LCC among many others in two suggested manners; the one is to deterministically calculate the probability of single VEIs, and the other is to stochastically calculate the probability of the VEIs where uncertainty is quantified.