• Proceedings of the Korean Institute of Industrial Safety Conference
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• 2000.06a
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• pp.42-46
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• 2000

In this numerical study, characteristics of swirl generation by the fan and selection of the location of the fan was studied theoretically by the PHOENICS soft ware. The governing equations for the system are solved by means of the three dimensional version of the SIMPLE algorithm and STAGGERED grid. From the present results, the optimal position of the fan is 0.625($\ell$/L). Here we can survey the big swirl near the fan.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.05a
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• pp.1754-1757
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• 2006

Recently many firms operate a cross-docking center in addition to run a distribution center to reduce logistics costs and maintain or enhance logistics service. However, it is true that many firms just operate their cross-docking centers as they are without any change, in spite of that the location of the cross-docking center should be changed and operated when the location of distribution center is changed and moved. This study presents the method that re-selects the location of the cross-docking center when the existing distribution center is changed. Describing the operation environment to apply the cross-docking system and the selection criteria of the cross-docking center under the environment of changeable logistics network, we define the simulation model which can analyze and select the location of the cross-docking center applied to a logistics field. The simulation model presents experiential algorithm selecting the location with the data of the demand point such as volume, transportation costs, and delivery distance.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2016.05a
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• pp.217-218
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• 2016

Domestic distribution warehouse has been developed as a strategic strategic point for inventory management and shipping of goods for companies. Warehouse is classified as distribution center, transport center, complex center depending on the role. Currently, at the same time it is considering the price factor such as rent price or land price and and logistical capabilities when considering the location of domestic warehouses. The price evaluation factors has specific methods for the evaluation but logistical elements is not currently clear. In this study, we have studied location selection of distribution center considering the logistical elements through expert surveys.

• Journal of Korea Port Economic Association
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• v.24 no.4
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• pp.199-217
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• 2008

Many studies have identified the determinants of shippers' selection of ports, and of these, a number have repetitively cited major elements. However, different researchers came up with somewhat different research results depending on the position and preference of research targets. Accordingly, to deduce the determinants of shippers' selection of Gwangyang Port, appropriate research and analysis is required in addition to literature study. This study first deduced from previous studies the determinants that have influence on shippers when selecting a port and positively analyzed the effects of those determinants on the shippers using Gwangyang Port. In this regard, whether shippers using Gwangyang Port have continuously used the port was set as a dependent variable, and port service, port facilities, location of ports, port costs, and other determinants for port selection deduced in the previous studies were set as independent variables. This study's analysis finds shippers using Gwangyang Port are all influenced by the elements of port service, port facilities, location of ports, and port costs in their selection of Gwangyang Port. Their degree of importance is in the order of port costs, location of ports, port service and port facilities. This indicates that shippers consider port costs and location of ports more important than port facilities in their selection of a port.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.25 no.9
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• pp.944-951
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• 2014

In this paper, evaluation indices of the location selection of satellite ground station is proposed to maximize satellite applications. The evaluation index has been developed based on radio-wave environmental conditions to avoid the radio interference to perform the missions of ocean observation satellite. The radio interference investigation was generated based on professionals of satellite control/operation, calibration/validation, applications. And evaluation index was applied to a candidate site of ground station. In the future, this result may be able to compare with the results of other candidate sites for the best location selection of 'marine mission-oriented ground stations'. According to recent trends of mission-oriented ground stations, the results can be used for location selection of 'marine mission-oriented ground station' as reference.

• Journal of Korean Society for Geospatial Information Science
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• v.14 no.1 s.35
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• pp.29-36
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• 2006

In the process of location selection, it is assumed that transformer substation socially recognized as a dangerous facility require especially more rigorous and resonable process. This paper implements suitability analysis for optimum location selection of transformer substation in southern Gyeonggi province using AHP(Analytic Hierarchy Process) and spatial analysis of GIS in terms of safety, national land use, economical efficiency and environment preservation. To do this, necessary data from 1/5,000 digital map are extracted a s raster format for suitability analysis and a field investigation also was done. In the procedure of site selection, three candidate zones with 1.5km radius were selected for the whole research area and then through field survey low transformer sites were selected from candidate zones. In the last the appropriateness of selected sites was evaluated. The results of the suitability analysis showed that the first candidate site satisfied the location condition best and other candidate sites generally showed good location condition.

• Journal of KIBIM
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• v.12 no.2
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• pp.1-11
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• 2022

Road traffic accidents (RTAs) are the leading cause of accidental death among children. RTA reduction is becoming an increasingly important social issue among children. Municipalities aim to resolve this issue by introducing "Smart Pedestrian Crosswalks" that help prevent traffic accidents near children's facilities. Nonetheless such facilities tend to be installed in relatively limited number of areas, such as the school zone. In order for budget allocation to be efficient and policy effects maximized, optimal location selection based on machine learning is needed. In this paper, we employ machine learning models to select the optimal locations for smart pedestrian crosswalks to reduce the RTAs of children. This study develops an optimal location index using variable importance measures. By using k-means clustering method, the authors classified the crosswalks into three types after the optimal location selection. This study has broadened the scope of research in relation to smart crosswalks and traffic safety. Also, the study serves as a unique contribution by integrating policy design decisions based on public and open data.

• Nuclear Engineering and Technology
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• v.52 no.7
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• pp.1587-1596
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• 2020

The location selection for nuclear power plants (NPP) is a strategic decision, which has significant impact operation of the plant and sustainable development of the region. Further, the ranking of the alternative locations and selection of the most suitable and efficient locations for NPPs is an important multi-criteria decision-making problem. In this paper, the non-sequential Monte Carlo probabilistic method and the Latin hypercube sampling probabilistic method are used to evaluate and select the optimal locations for NPP. These locations are identified by the power plant's onsite loads and the average of the lowest number of relay protection after the NPP's trip, based on electricity considerations. The results obtained from the proposed method indicate that in selecting the optimal location for an NPP after a power plant trip with the purpose of internal onsite loads of the power plant and the average of the lowest number of relay protection power system, on the IEEE RTS 24-bus system network given. This paper provides an effective and systematic study of the decision-making process for evaluating and selecting optimal locations for an NPP.

• Land and Housing Review
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• v.11 no.2
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• pp.15-24
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• 2020

In recent years, market access is expected to become more important in logistics location selection. In addition, it is necessary to support logistics functions for small and medium-sized enterprises. In this study, we propose a location suitability evaluation system for public rental logistics spaces. The location selection and evaluation system of the public rental logistics space proposed in this study is composed of large (5), medium (10), and small (20) indicators. The 1^st class were five factors: market factors, economic factors, transportation factors, site factors, policy and social factors, and the 2^nd classifications per the 1^st class, and the 3^rd class for each 2^nd class. After deriving the relative importance of each indicator through AHP for experts, it was verified by utilizing GIS analysis for virtual candidates in the metropolitan area. As a result of the trial application, it was evaluated that it could be applied with realistic results. In addition, it was confirmed that it is possible to apply evaluation indicators using spatial data constructed in Korea, and to use the evaluation indicators, it is necessary to perform various spatial analysis and processing tasks on raw data.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2001.10a
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• pp.150-153
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• 2001

The selection of the optimal partners in supply chain management is one of the most critical success factors. In the past, partners for outsourcing production were selected repeatedly within a closed group of candidates due to the limited information and location of partners. But, the wide use of internet and the development of electronic commerce make it possible that the partners capable of providing the optimal services are selected regardless of their location or nationality. And the concept of partners was limited to the provider of production resources. In the supply chain management, the concept should be extended to the provider of transportation and warehouse due to the high portion of transportation cost among the total production cost Therefore, In this study, we propose an analytical approach to the selection of Production and transportation partners in supply chain management. For this purpose a mathematical model is developed, and then a heuristic algorithm based on tabu search is presented since the model belongs to the NP hard problem.