• Journal of Korean Academy of Nursing
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• v.50 no.3
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• pp.411-418
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• 2020

Purpose: The aim of this study was to determine the predictive strength of students' self-efficacy, problem-solving skills, and other characteristics in performing intravenous practices and monitor phlebitis and infiltration. Methods: This cross-sectional study was carried out with 736 third and fourth-year students studying at the Health Sciences Faculties of Balikesir and Sakarya universities. The data were collected using the Self-Efficacy Scale, Problem-Solving Inventory and Catheter Care and Infiltration Monitoring Questionnaire. Results: The participants' mean Catheter Care and Infiltration Monitoring Questionnaire score significantly and positively correlated with their mean Self-Efficacy Scale score on a moderate level (r=.25; p<.001) but significantly and negatively correlated with their mean Problem-Solving Inventory score on a moderate level (r=-.21; p<.001). In other words, because a low Problem-Solving Inventory score indicates that the person's problem-solving skill is high, the Care and Infiltration Monitoring Questionnaire score increased as the problem-solving skill increased. While the Self-Efficacy Scale predicted the year of study and catheter care and infiltration monitoring variables positively, the Problem-Solving Inventory predicted the satisfaction with the profession variable negatively. Conclusion: Self-efficacy, problem-solving, liking the profession, and year of study predict success in catheter care and infiltration monitoring. For this reason, guidance may be provided in the development of a comprehensive education system toward increasing students' problem-solving skills, self-efficacy, and professional knowledge and skills.

• Journal of the Korean Society of Systems Engineering
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• v.16 no.1
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• pp.84-97
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• 2020

This paper aims to develop an optimized inventory management method for safety critical Instrument and Control (I&C) components. In this regard, the paper focuses on estimating the consumption rate of I&C components using demand forecasting methods. The target component for this paper is the Foxboro SPEC-200 controller. This component was chosen because it has highest consumption rate among the safety critical I&C components in Korean OPR-1000 NPPs. Three analytical methods were chosen in order to develop the demand forecasting methods; Poisson, Generalized Linear Model (GLM) and Bootstrapping. The results show that the GLM gives better accuracy than the other analytical methods. This is because the GLM considers the maintenance level of the component by discriminating between corrective and preventive.

• Journal of Distribution Science
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• v.11 no.5
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• pp.33-41
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• 2013

Purpose - Yard inventories increase when export containers are carried into the terminal and decrease when import containers are delivered to the consigners. The purpose of this study is to analyze container inventories according to the weekly ship arrival pattern at container terminals. Research design, data, and methodology - As container ships operate according to weekly schedules based on shipping companies and their routes, specific terminals provide a fixed-day service in a week. Thus, yard inventories can change with weekly fluctuations. The data used in this study were the actualdata at specific container terminals. Result - The dwell times of each container at a terminal represent an important variable that affectsyard inventories. Even cargo flows are steady in a given period, if dwell times are prolonged, yard inventories increase. Conclusion - Dwell time is another factor causing yard inventory change. Therefore, the calculation for yard inventories should consider the weekly ship arrival patterns and dwell times of each container. Further, at the planning stage, dwell time should be more carefully considered to calculate yard capacity.

• Journal of Korean Society for Geospatial Information Science
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• v.4 no.2 s.8
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• pp.149-159
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• 1996

It's required such information as location, size, distribution and abundance of wetlands as well as categorization of adjacent land-uses to manage effectively and to make wise planning decisions about resources of coastal area. Wetland inventory derived from the technology of Geographic Information System and remote sensing is inexpensive compared to the data based on conventional field data collection and cartographic methods. Furthermore, wetland inventory may prove to be useful references in the wetland management.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.1
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• pp.110-122
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• 2008

The objectives of this study were to identify the work values of the college students, and to verify the relationship between demographic variables and the work value inventory. Data were collected from college students majoring clothing and textiles(N=307). Convenient sampling was performed. The work value inventory used in this study was modified on the one designed by Meitus. The data were analyzed by factor analysis, t-test and F-test. The findings of this study were as follows : First, as a result of factor analysis, dimensions of work value consists of 8 factors, including income, achievement, status, social contribution, stability, responsibility, capability and vocational contribution. Second, job experience, grade and parent's educational background and occupation were the major variables determining students' work values.

• Journal of the Korea Institute of Military Science and Technology
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• v.23 no.4
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• pp.426-434
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• 2020

This paper studies the impact of the maintenance time of anti-ship missile Harpoon on operational availability with real field data. The Harpoon maintenance simulation model is developed as a testbed for identifying the optimal inventory levels on operational availability. Using multiple linear regression analysis and integer programming, the optimal inventory levels of essential assemblies are suggested. Finally, the result of sensitivity analysis shows the quantitative impact of maintenance time on operational availability and inventory costs. The authors believe that this quantitative analysis can support policy decisions to decrease maintenance time of missiles.

• Journal of the Korean Society for Precision Engineering
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• v.21 no.12
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• pp.109-118
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• 2004

Life cycle assessment (LCA) usually involves some uncertainty. These uncertainties are generally divided in two categories such lack of data and data inaccuracy in life cycle inventory (LCI). This paper explo.es a methodology on dealing with uncertainty due to lack of data in LCI. In order to treat uncertainty of LCI data, a model for data uncertainty is proposed. The model works with probabilistic curves as inputs and with Monte Carlo Simulation techniques to propagate uncertainty. The probabilistic curves were derived from the results of survey in expert network and Monte Carlo Simulation was performed using the derived probabilistic curves. The results of Monte Carlo Simulation were verified by statistical test. The proposed approach should serve as a guide to improve data quality and deal with uncertainty of LCI data in LCA projects.

• Journal of the Korean Society of Combustion
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• v.7 no.4
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• pp.10-20
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• 2002

This paper discusses effect of solid mass inventory on the hydrodynamic characteristics of circulating fluidized bed(CFB). Operating parameters of solid mass inventory and air flow rates were varied to understand their effects on fludization pattern. Experimental measurements were made in a CFB of which height and diameter are 3m and 0.05m respectively. Black SiC particles ranging from $100{\mu}m\;to\;500{\mu}m$ were employed as the bed material. Superficial gas velocity of riser and J-valve fluidizing velocity were in the ranges of $1.39{\sim}3.24m/s\;and\;0.139{\sim}0.232m/s$, respectively. The axial solid fraction and solid circulation rate of CFB were calculated based on the experimental data and compared with modellings through IEA-CFBC Model and commercial CFD code.

• Industrial Engineering and Management Systems
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• v.16 no.1
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• pp.52-63
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• 2017

The inventory level of concurrent spare parts (CSP) has a significant impact on the availability of a weapon system. A failure rate function might be of particular importance in deciding the CSP inventory level. We developed a CSP optimization model which provides a compromise between purchase costs and shortage costs on the basis of the Weibull and the exponential failure rate functions, assuming that a failure occurs according to the (non-) homogeneous Poisson process. Computational experiments using the data obtained from the Korean Navy identified that, throughout the initial provisioning period, the optimization model using the exponential failure rate tended to overestimate the optimal CSP level, leading to higher purchase costs than the one using the Weibull failure rate. A Pareto optimality was conducted to find an optimal combination of these two failure rate functions as input parameters to the model, and this provides a practical solution for logistics managers.

• IE interfaces
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• v.5 no.2
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• pp.19-27
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• 1992

The ABC analysis is a widely used inventory control technique which consists of classifying inventory items into three categories according to annual dollar usage and concentrating managerial efforts on the high value items. But its major weakness is that the classification is somewhat arbitrary and is made in the light of single criterion, the annual usage. In this paper, a modified approach using TOPSIS is proposed where 1) the inventory items are ranked, rather than classified into three categories, in the order of relative importance and 2) the latter is determined by considering the multiple criteria such as annual usage, difficulty of procurement, lead time and shelf life. A case study was performed with the field data from a company producing electronical parts. The rank order produced by TOPSIS was judged quite reasonable by the company inventory control manager.