• 제어로봇시스템학회:학술대회논문집
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• 1996.10b
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• pp.1028-1031
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• 1996

Dynamic scheduling is very important in constructing CIM and improving productivity of chemical processing systems. Computation at the scheduling level requires mostly a long time to generate an optimal schedule, so it is difficult to immediately respond to actual process events in real-time. To solve these problems, we developed dynamic scheduling algorithms such as DSMM(Dynamic Shift Modification Method), PUOM(Parallel Unit Operation Method) and UVVM(Unit Validity Verification Method). Their main functions are to minimize the effects of unexpected disturbances such as process time variations and unit failure, to predict a makespan of the updated dynamic schedule and to modify schedule desirably in real-time responding to process time variations. As a result, the algorithms generate a new pertinent schedule in real-time which is close to the original schedule but provides an efficient way of responding to the variation of process environment. Examples in a shampoo production batch process illustrate the efficiency of the algorithms.

• Journal of Construction Engineering and Project Management
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• v.3 no.2
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• pp.21-34
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• 2013

Various risk factors affect construction projects. Due to the uncertainties created by risk factors, actual activity durations frequently deviate from the estimated durations in either favorable or adverse direction. For this reason, evaluation of schedule uncertainty is required to make decisions accurately when managing construction projects. In this regard, this paper presents a new computer simulation model - the Repetitive Schedule Risk Analysis Model (RSRAM) - to evaluate unit-based repetitive building project schedules under uncertainty when activity durations and risk factors are correlated. The proposed model utilizes Monte Carlo Simulation and a Critical Path Method based repetitive scheduling procedure. This new procedure concurrently provides the utilization of resources without interruption and the maintenance of network logic through successive units. Furthermore, it enables assigning variable production rates to the activities from one unit to another and any kind of relationship type with or without lag time. Details of the model are described and an example application is presented. The findings show that the model produces realistic results regarding the extent of uncertainty inherent in the schedule.

• Journal of Korean Public Health Nursing
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• v.2 no.2
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• pp.21-44
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• 1988

In Korea, fee-for service reimbursement has been adopted from the begining of medical insurance system in 1977, and the importance of the relative value unit is currently being investigated. The purpose of this study was to find out the level of propriety of the difference in the fees for different surgical services, and the appropriateness of the classification of the insurance fee schedule. For the purpose of this study, specific subjects and the procedural methodology is shown as follows: 1. The propriety of the Relative Price System(RPS). 1) Choice of sample operations. In this study, sample operations were selected and classified by specialists in general surgery, and the number of items they classified were 32. For the same group of operations the Insurance Fee Schedule(IFS) classified the operations into 24 separate items. In order to investigate the propriety of the RPS, one of the purpose of this study, was to examine the 24 items classified by the IFS. 2) Evaluation of the complexity of surgery. The data used in this study was collected The data used in this study was collected from 94 specialists in general surgery by mail survey from November I to 15, 1986. Several independent variables (age, location, number of bed, university hospital, whether the medical institution adopt residents or not) were also investigated for analysis of the characteristics of surgical complexity. 3) Complexity and time calculations. Time data was collected from the records of the Seoul National University' Hospital, and the cost per operation was calculated through cost finding methods. 4) Analysis of the propriety of the Relative Price System of the Insurance Fee Schedule. The Relative Price System of the sample operation was regressed on the cost, time, comlexity relative ,value system (RVS) separately. The coefficient of determination indicates the degree of variation in the RPS of the Insurance Fee Schedule explained by the cost, time, complexity RVS separately. 2. The appropriateness of the classification of the Insurance Fee Schedule. 1) Choice of sample operations. The items which differed between the classification of the specialist and the classification of medical, Insurance Fee Schedule were chosen. 2) Comparisons of cost, time and complexity between the items were done to evaluate which classification was more appropriate. The findings of the study can be summarized as follows: 1. The coefficient of determination of the regression of the RPS on-cost RVS was 0.58, on time RVS was 0.65, and on complexity RVS was 0.72. This means that the RPS of Insurance Fee Schedule is improper with respect to the cost, time, complexity separately. Thus this indicates that RPS must be re-shaped according to the standard element. In this study, the correlation coefficients of cost, time, complexity Relative Value System were very high, and this suggests that RPS could be reshaped I according to anyone standard element. Considering of measurement, time was thought to be the most I appropriate. 2. The classifications of specialist and of the Insurance Fee Schedule were compared with respect to cost, time, and complexity separately. For complexity, ANOVA was done and the others were compared to the different values of different classifications. The result was that the classification of specialist was more reasonable and that the classification of Insurance Fee Schedule grouped inappropriately several into one price unit.

• Proceedings of the KIEE Conference
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• 2006.11a
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• pp.351-353
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• 2006

Preventive maintenance can avail the generating unit to reduce cost and gain more profit in a competitive supply-side power market. so, it is necessary to perform reliability analysis on the systems in which reliability is essential. In this paper, FMECA assessment adopted using real historical failure data in Korean power plants for apply RCM analytical method. The stochastic FMECA is an engineering analysis and a core activity performed by reliability engineers to review the effects of probable failure modes of generating unit and assemblies of the power system on system performance. Optimal RCM schedule which is considered the severity level of each generating unit and failure probability from failure prediction of generating unit can be planned using proposed FMECA with IOE index.

• International conference on construction engineering and project management
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• 2017.10a
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• pp.8-13
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• 2017

Nuclear power plant (NPP) constructions are large scale projects that are executed for several years, and schedule control utilizing various schedules is a critically important factor. Recently Korea independently developed the Advanced Power Reactor (APR) 1400 and is building nuclear facilities applying this new reactor type. The construction of Shin-Kori NPP (SKN) Unit 3, which adopted the APR1400, was completed and commercial operation has begun, while, SKN 4, Shin-Hanul NPP (SHN) Units 1&2, and SKN 5&6 are currently under construction. Prior to the development of the APR1400, Korea built 24 reactors and accumulated the schedule data of various reactor types which provided the foundation for schedule reduction to be possible. However, as there is no schedule development and review system established based on the standard schedule data (standard activities, durations, etc.) by reactor type, the process for developing the schedule for new builds is low in efficiency consuming much time and manpower. Also all construction data has been accumulated based on schedule activities. But because the connectivity of activities between projects is low, it is difficult to utilize such accumulated data (causes for schedule delay, causes for design changes, etc.) in new build projects. Due to such reasons, issues continue to arise in the process of developing standard schedule activities and a standard schedule for nuclear power plant construction. In order to develop a standard schedule for NPP construction, i) the development of an NPP standard schedule activity list, ii) development of the connection logic of NPP standard schedule activities, iii) development of NPP standard schedule activity resources and duration, and iv) integration of schedule data need to be performed. In this paper, an analysis was made on the coherence of schedule activity descriptions of existing NPPs by applying the probabilistic methodology on activities with low connectivity due to the utilization of the numbering system of four APR1400 reactors (SHN 1&2 and SKN 3&4).This study also describes the method for developing a standard schedule activity list and connectivity measures by extracting same and/or similar schedule activities.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2011.06a
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• pp.703-704
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• 2011

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.12
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• pp.677-685
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• 2018

In construction, schedule management is the basic but important step, for the effective schedule management, the preparation of the reasonable schedule table should be prioritized. In the design stage, the optimal construction period can be selected through comparison of various conditions and construction methods considering weather conditions and site characteristics. But, At the planning phase, it is difficult to select the effective method and calculate the proper construction period by the basic data(D/B) analysis. In this paper, the construction method considering characteristics of each type and conditions of existing city was selected. For the reasonable duration calculation, we analyzed the unit schedule for RC method for open type and Shield TBM method for tunnel type. The normal project duration of construction assuming of 1,200m of extension and every 200m of ventilation was prepared by integrating each unit schedule. It was analyzed that it took 893 days for the open type and 616 days for the tunnel type. The results of this study will help to make type selection and normal project duration more easily in the planning phase. If it is linked to the design stage, it will be easy to estimate the process and construction cost.

• Journal of Korean Academy of Nursing
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• v.25 no.1
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• pp.80-87
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• 1995

The critical problem of nurse scheduling in the hospital is determining the day-to -day shift assignments for each nurse for the specified period in a way that satisfies the given requirements of the hospital. As nurse scheduling involves many factors and requirements, manual scheduling requires much time and effort to produce an adequate schedule. A PC - based decision support system, developed in Turbo - C/sup ++/, for nurse scheduling was introduced. The system is composed of 4 sub-systems : 1) Entering basic information for each nursing unit : 2) Generation of an appropriate initial schedule and revised schedule for a given period, maximally satisfying each nurse's duty requests : 3) Provision of variety of statistical information, and 4) Help messages for each modular function. Icons and a mouse are used for easier graphic user interface and reducing the need for typing efforts. This system can help nurses develop quick and easy schedule generation and allow more time for the patient care.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.450-453
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• 2003

It is very important to examine and compare initial plan with earned value repeatedly in construction. For this purpose, progress measurement, which reflects the actual progress correctly, is required and it is necessary that accurate field data should be offered. To measure the progress, the entire project mutt be divided into unit works that have an accurate scope of work, and required information must be distributed to the all parties. Under the circumstances of domestic construction industry which focus on the specifications, progress measurement needs to reflect the information of schedule as well as cost that includes the quantity of unit work and construction expenses. Therefore this research proposes weighted method of progress measurement based on the information of cost and schedule.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.22 no.1
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• pp.58-65
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• 2008

Reliability-Centered Maintenance plan for maintenance schedule of generating unit is being assessed in this paper. Maintenance schedule is a key index that can be used to determine stability and cost. In this paper, stochastic FMECA is described for the life assessment by using probability distribution, and combustion-turbine generations in Korean power systems have been assessed for maintenance schedule. Such an assessment can be a useful guide for maintenance plans in restructured power industry.