• Journal of the Korean Operations Research and Management Science Society
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• v.23 no.3
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• pp.123-133
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• 1998

A cell design model based on operation sequence is proposed for maximizing the total parts flow within cells considering the data of Process plans for parts, Production volume, and cell size. A relationship between machines is calculated on the basis of the process plans for parts obtained from process plan sheets. Then the machines are classified into machine cells using the relationship. The model is formulated as a 0-1 integer programming and a genetic algorithm approach is developed to solve the model. The developed approach is tested and Proved using actual industrial data. Experimental results indicate that the approach is appropriate for large-size cell design problems efficiently.

• Journal of Digital Convergence
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• v.12 no.2
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• pp.397-407
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• 2014

Due to rapid development of medical information, a huge amount of information is being accumulated. Desires to conduct clinical researches by using this information are increasing, and medical institutions are encountering problems of aging society and drastic increase of medical expenses. Utilization of Big Data as an alternative is now being emphasized. The purpose of this study is to examine informatization of medical institutions and suggest political implications for Big Data utilization plans. Data was collected through literature searches and interviews with medical information professionals of medical institutions, from September to November, 2013, for four months. As a result of the study, it could be found that the hospital information system is improving from patient management and administration to researches and information strategies. Thus, national supports for medical expense reduction as well as fostering professional manpower should be provided, considering establishment of the system for utilization of Big Data and efficient application of unstructured data.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.37 no.2
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• pp.77-84
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• 2014

The purpose of this research is to identify and develop technology protection plans for small and medium-sized enterprises (SMEs) by analyzing past technology leakage patterns which were experienced by SMEs. We identified factors which affect the technology leakage, and analyzed patterns of the influences using a data mining algorithms. A decision tree analysis showed several significant factors which lead to technology leakage, so we conclude that preemptive actions must be put in place for prevention. We expect that this research will contribute to determining the priority of activities necessary to prevent technology leakage accidents in Korean SMEs. We expect that this research will help SMEs to determine the priority of preemptive actions necessary to prevent technology leakage accidents within their respective companies.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.294-298
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• 2015

In the United States, the completion of Construction Work Zone (CWZ) impact assessments for all federally-funded highway infrastructure improvement projects is mandated, yet it is regarded as a daunting task for state transportation agencies, due to a lack of standardized analytical methods for developing sounder Transportation Management Plans (TMPs). To circumvent these issues, this study aims to create a spatiotemporal modeling framework, dubbed "SWAT" (Spatiotemporal Work zone Assessment for TMPs). This study drew a total of 43,795 traffic sensor reading data collected from heavily trafficked highways in U.S. metropolitan areas. A multilevel-cluster-driven analysis characterized traffic patterns, while being verified using a measurement system analysis. An artificial neural networks model was created to predict potential 24/7 traffic demand automatically, and its predictive power was statistically validated. It is proposed that the predicted traffic patterns will be then incorporated into a what-if scenario analysis that evaluates the impact of numerous alternative construction plans. This study will yield a breakthrough in automating CWZ impact assessments with the first view of a systematic estimation method.

• 시스템엔지니어링워크숍
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• s.4
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• pp.90-94
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• 2004

System engineering(SE) management techniques applied for space launch system development are introduced to assess the current status and address the effwctiveness of these techniques. Management plans and guides are prepared for the work breakdown structure , data, comfiguration, interface control, Quality assurance, procurement, reliability, risk and verification/validation . Further improvement is required for the system engineering management plan(SEMP) to merge the international cooperation into current engineering managment system.

• International Journal of Highway Engineering
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• v.18 no.3
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• pp.47-57
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• 2016

PURPOSES : This study aims to examine the differences between the existing traffic demand forecasting method and the traffic demand forecasting method considering future regional development plans and new road construction and expansion plans using a four-step traffic demand forecast for a more objective and sophisticated national highway maintenance. This study ultimately aims to present future pavement deterioration and budget forecasting planning based on the examination. METHODS : This study used the latest data offered by the Korea Transport Data Base (KTDB) as the basic data for demand forecast. The analysis scope was set using the Daejeon Metropolitan City's O/D and network data. This study used a traffic demand program called TransCad, and performed a traffic assignment by vehicle type through the application of a user equilibrium-based multi-class assignment technique. This study forecasted future traffic demand by verifying whether or not a realistic traffic pattern was expressed similarly by undertaking a calibration process. This study performed a life cycle cost analysis based on traffic using the forecasted future demand or existing past pattern, or by assuming the constant traffic demand. The maintenance criteria were decided according to equivalent single axle loads (ESAL). The maintenance period in the concerned section was calculated in this study. This study also computed the maintenance costs using a construction method by applying the maintenance criteria considering the ESAL. The road user costs were calculated by using the user cost calculation logic applied to the Korean Pavement Management System, which is the existing study outcome. RESULTS : This study ascertained that the increase and decrease of traffic occurred in the concerned section according to the future development plans. Furthermore, there were differences from demand forecasting that did not consider the development plans. Realistic and accurate demand forecasting supported an optimized decision making that efficiently assigns maintenance costs, and can be used as very important basic information for maintenance decision making. CONCLUSIONS : Therefore, decision making for a more efficient and sophisticated road management than the method assuming future traffic can be expected to be the same as the existing pattern or steady traffic demand. The reflection of a reliable forecasting of the future traffic demand to life cycle cost analysis (LCCA) can be a very vital factor because many studies are generally performed without considering the future traffic demand or with an analysis through setting a scenario upon LCCA within a pavement management system.

• Journal of the Korean Society for information Management
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• v.38 no.4
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• pp.173-198
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• 2021

The study aims to understand university constituents' perceptions and experiences of research data management and sharing then explore the critical factors for establishing effective research data management plans. The literature review enabled summarization of the significant issues regarding research data management and sharing. In addition, the follow-up survey revealed the university constituents' perceptions and experiences about research data management and sharing. This study has significance because it laid the foundation for long-term research data management policies and services development.

• The Journal of Economics, Marketing and Management
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• v.10 no.5
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• pp.7-14
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• 2022

Purpose: This study discusses efficient operation plans in terms of public rental housing maintenance in terms of LH, a major supplier. Research design, data, and methodology: After reviewing problems related to the maintenance and management of public rental housing discussed in several previous studies, problems in technology setting for repair maintenance costs for public rental housing, lack of public assistance for maintenance and management of public rental housing, management of housing funds, and lack of role of local governments in the supply and repair of public rental housing were derived. Based on this, the researcher conducted using literature research methods to present relevant improvement measures based on reasonable arguments. Results: this study presented four operational plans related to (1) realization of repair costs for public rental housing, (2) a public subsidy system for covering the maintenance costs for public rental housing, (3) efficient operation of the Housing City Fund, and (4) establishment of the public rental housing. This study aims to provide a foundation for the qualitative growth of the domestic public rental housing system. Conclusions: With this study, it is expected that social interest in maintenance of public rental housing centered on LH will be amplified to improve the quality of maintenance problems of public rental housing.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.2
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• pp.78-84
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• 2021

In addition to physical risks such as electrical, chemical, and mechanic ones in the workplace, psychosocial risks are also raising as an important issue in recent years in connection with human rights and work-life balance policies. The purpose of this study is to confirm the degree of effect of the psychosocial risk management plan at the workplace on workers through logistic regression analysis. Input data for logistic regression analysis is the results of a survey of 4,558 people conducted by the Institute for Occupational Safety and Health were used. There are 9 independent variables, including the change a workplace and confidential counseling, and the dependent variable is whether the worker feels the effect on the psychosocial risk management plan. As a result of this study, changes in work organization, dispute resolution procedures, provision of education program, notification of the impact of psychosocial risks on safety and health, and the persons in charge of solving psychosocial problems are shown effective in reducing worker's psychosocial risks. This study drives which of the management plans implemented to reduce the psychosocial risk of workers in the workplace are effective, so it can contribute to the development of psychosocial risk management plans in the future.

• Korean Journal of Child Education & Care
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• v.19 no.2
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• pp.101-116
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• 2019

Objective: The purpose of this study is to provide basic data on physical activity management plans for different developmental levels in infants. This study analyses the difference between support requests and the professional practical of evaluations, content selection, and physical activity management plans displayed by teachers of one and two-year-old infants. Methods: The subjects of the study were 221 teachers from child care centers throughout J-do to whom a questionnaire containing 51 questions was distributed. Collected data was verified with a chi-squared test and an independent samples t-test. Results: First, among variables of professional practical of physical activities, some factors including class size, class planners and leaders, the number of outdoor classes per week and requisite time, parts of related education plans, parts of content selection for physical activities, and parts of the evaluation of physical activities showed significant differences depending on the class. Second, among variables of support requests when implementing physical activities, some factors including methods of preparing physical activity plans, teaching -learning methods, evaluation methods, body expression activity programs, and parts of physical exercise in the standardized child care curriculum of refresher and extension courses showed significant differences depending on the class. Conclusion/Implications: This study discusses the effective management of refresher and extension courses as a way to improve physical activity management plans and teachers' support requests for infants aged 1 to 2.