• Proceedings of the Safety Management and Science Conference
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• 2003.05a
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• pp.1-5
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• 2003

We purpose a decision model to select the optimal facilities for the Decision Making problems with multiple characteristics(nominal-is-best characteristics, larger-is -better characteristics, smaller- is -better characteristics). Using this model, concept of the loss function is used in this comprehensive method of for select the optimal preferred facilities. To solve the issue on the optimal preferred facilities for multiple characteristics, this study propose the loss function with cross-product terms among the characteristics and derived range of the coefficients of the terms.

• Journal of Digital Contents Society
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• v.18 no.1
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• pp.197-202
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• 2017

In this study, the current status of the South Korean performance facilities was analyzed, and then the key tasks for the improvement of such facilities were identified. The study results show that the country's performance facilities are disproportionately concentrated in the Seoul region whereas the lack of performance facilities per unit area in the other regional provinces considerably lowers the accessibility of such facilities to the local residents. As part of the measures to solve such problems, this study proposed the development of a system that would enable the optimal placement of such performance facilities. It also proposed the development of another system that can simulate and suggest an optimal performance type for a given region because the ultimate goal of this study was to raise the utilization rate and financial self-reliance of the performance facilities in South Korea.

• Journal of the Korean Operations Research and Management Science Society
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• v.6 no.1
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• pp.5-13
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• 1981

This paper considers a facility moving along a route of straight line to serve several facilities in xy plane. A route is obtained which minimizes the objective function expressed in terms of average rectilinear distance between the service facility and facilities to he served. The forms of the objective functions can be classified into several cases according to the initial and end points of the routes. In some cases, as in the problem of optimal location of new facility, the cordinates of the optimal routes are median of the cordinates of facilities to be served. In others, the optimal routes are obtained after examining the values of objective functions on the boundaries of slopes and intercepts. An overall optimal route is obtained by comparing these routes. The entire procedure has been programmed in BASIC language, and several case examples are given.

• Industrial Engineering and Management Systems
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• v.8 no.4
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• pp.221-227
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• 2009

There are customer services jointly provided by two facilities so that each customer will complete the course made up of both facilities' sub-services. The two facilities are assumed invested respectively by an infrastructure owner and one subordinate facility owner, whose partnership is built on their capital investments. This paper presents a mathematical model of Stackelberg competition between the two facility owners to derive their optimal Nash equilibrium. In this study, each facility owner's profit is consisted of fixed revenue fractions of sold services, operating costs (including depreciation cost) and maintenance costs of her facility. The maintenance costs of one facility are incurred both by failures and deterioration due to usage. Moreover, for both facilities, failures are rectified immediately by minimal repairs and preventive maintenance is carried out at a fixed time epoch. Additional assumptions are also employed to develop the model such as customer arrivals are manipulated to follow a Poisson process, and each facility's lifetime is independently Weibull-distributed. The Stackelberg game proceeds as follows. At the first stage of decision making process, the infrastructure owner (acting as a leader) decides the allocation of revenue shares based on her self-interest. After observing the allocation of revenue shares, the subordinate facility owner determines her own optimal price of services. This paper investigates actions and reactions of the two partners in the system. Then analytical conditions are proposed to achieve a unique optimal Nash equilibrium. Finally, some suggestions for further research are discussed.

• Journal of the Korean Regional Science Association
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• v.8 no.2
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• pp.1-9
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• 1992

One of the problems associated with the current system of land development projects implemented by the public sector in Korea is that various service facilities are not ready in time for the occupation of residential dwelling. A major cause of the problem is the lack of financial arrangements which would smooth the cash-flow of the suppliers of the facilities during the project period. In this paper we present two schemes which will contribute to the optimal provision of service facilities by easing the financial constraint facing the land developers and suppliers of the facilities. The first scheme involves channeling a fraction of profits from a land development project and of the proceeds of mandatory sales of Type II National Housing Bonds as a loan to the suppliers of the service facilities. The second scheme considers the participation of the private sector in the project as a member of a consortium comprising the Korea Land development Corporation, the National Housing Fund, and private developers. It is proved that each scheme is superior to the current system. as well as entailing a very small cost.

• Journal of the Korean Institute of Educational Facilities
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• v.14 no.2
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• pp.101-104
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• 2007

• Journal of Cadastre & Land InformatiX
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• v.49 no.2
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• pp.109-122
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• 2019

The expansion of double-income households is increasing the social interest in child care. In particular, children's entrance into elementary school is considered to be the main cause of women's career break as well as childbirth. This study proposes an optimal location selection method for caring facilities for elementary school students. As a candidate for care facilities, we selected existing child care facilities. We proposed a dual structure evaluation method that considers locational characteristics as well as mathematical optimization when selecting the optimal location. The experiment was conducted in Songpa-gu, Seoul. A total of 36 optimal locations were selected from a total of 258 candidate facilities. First, the evaluation criteria were established using public data, and the primary candidate facilities were selected by ranking the location scores. At this time mesh resampling method was used to integrate various public data into one. Next, the final care facilities were selected using the p-median method. The results chosen are not only the optimal location considering total distance but also satisfy various location criteria considering the characteristics of the care facility. We expect that the proposed method will contribute to public data convergence or utilization and it will be helpful for policy decision when selecting the optimal location for public facilities.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.6
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• pp.979-986
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• 2016

At present, electric power industry around the world are being gradually changed to a new paradigm, such as electrical energy storage system, the wireless power transmission. Demand for ESS, the core technology of the new paradigm, has been growing worldwide. However, it is essential to estimate the optimal capacity of ESS facilities for frequency regulation because the benefit would be saturated in accordance with the investment moment and the increase of total invested capacity of ESS facilities. Hence, in this paper, the annual optimal mathematical investment model is proposed to estimate the optimal capacity and to establish investment plan of ESS facility for frequency regulation. The optimal mathematical investment model is newly established for each season, because the construction period is short and the operation effect for the load by seasons is different unlike previous the mathematical investment model. Additionally, the marginal operating cost is found by new mathematical operation model considering no-load cost and start-up cost as step functions improving the previous mathematical operation model. ESS optimal capacity is established by use value in use iterative methods. In this case, ESS facilities cost is used in terms of the value of the beginning of the year.

• Journal of the Korean Institute of Educational Facilities
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• v.12 no.1
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• pp.14-28
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• 2005

Functional school planning has long been considered a fundamental concept of school design. However. in planning educational facilities, it is also important to include the dimensions of comfort, convenience and healthfulness. The school lavatories and drinking fountains are one of most crucial elements for the recent changing face in healthful school design, but the number of lavatories and drinking fountains in most schools may not be sufficient to meet current needs. This study aims to suggest a guideline in designing school sanitary fixture and propose the optimal number of lavatories and drinking fountains regarded to age and sex. The survey is conducted through questionnaires collected from 998 respondents including 300 teachers In ChungNam province. Based on the results of the survey and a formulae, it is suggested that the number of lavatories be required by ratio of 30 boys per unit fixture and 22 girls per unit fixture in the elementary, middle and high school. It is also suggested that the number of drinking fountains be required by ratio of 65 students per unit fixture. The formulae proposed in this paper can be used for other plumbing fixtures required in school facilities.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.7
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• pp.3329-3350
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• 2017

Installing caching and computing facilities in mobile edge networks is a promising solution to cope with the challenging capacity and delay requirements imposed on future mobile communication systems. The problem of optimal facility placement in mobile edge networks has not been fully studied in the literature. This is a non-trivial problem because the mobile edge network has a unidirectional topology, making existing solutions inapplicable. This paper considers the problem of optimal placement of a fixed number of facilities in a mobile edge network with an arbitrary tree topology and an arbitrary demand distribution. A low-complexity sequential algorithm is proposed and proved to be convergent and optimal in some cases. The complexity of the algorithm is shown to be $O(H^2{\gamma})$, where H is the height of the tree and ${\gamma}$ is the number of facilities. Simulation results confirm that the proposed algorithm is effective in producing near-optimal solutions.