• Journal of Positioning, Navigation, and Timing
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• 제12권4호
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• pp.431-436
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• 2023

In order to provide continuous Korea Augmentation Satellite System (KASS) services, the operation organization should continuously and systematically perform operations, maintenance, and technical activities. All subsystems of KASS, all Line Replacement Units (LRUs), and Software Replacement Units (SWRUs) should be operated and maintained continuously. In order to effectively manage these activities, it is necessary to develop an Operation Management Tool (OMT). For this purpose, operation management, operation organization, and operation activities were defined. The defined requirements were divided into general, function, interface, and database for OMT development, and functions and decision-making procedures consisting of site/asset/trouble/work order/schedule management were designed. The OMT developed by reflecting the site and asset information as well as the design content met predefined requirements. The OMT will be actively used in actual KASS operation and will evolve by continuously reflecting the additional requirements of operators. Through this tool, KASS will support continuous service provision.

• 국제학술발표논문집
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• The 7th International Conference on Construction Engineering and Project Management Summit Forum on Sustainable Construction and Management
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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.

• 한국ITS학회 논문지
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• 제16권6호
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• pp.112-123
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• 2017

정부의 대중교통활성화 정책과 이용자들의 승용차에서 버스나 지하철로의 수단 전환으로, 대중교통의 정확한 배차시간과 도착시간의 확보가 중요해졌다. 서울시에서 제공하는 버스운행관리시스템(BMS : Bus Management System) 자료를 이용하여, 실시간 버스위치, 배차간격, 운행이력 등의 정보를 알 수 있다. 본 연구에서는 BMS 자료를 이용하여 안전운행을 하면서 정시성도 확보할 수 있는 방안을 제안하고자 한다. 다른 연구와는 다르게, 버스 정류장 사이 구간을 5개의 지점과 6개의 시간으로 나누어, 각각의 시간을 BMS 자료를 이용하여 산정하였다. 또한, 각 시간에 영향을 주는 주된 원인을 살펴보고, 요소별 평균, 표준편차, 변동계수를 이용하여 정류장 별 정시성과 안전성, 이동성을 모두 확보한 버스 노선의 적정 운행시간을 제안하였다.

• 국제학술발표논문집
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• The 6th International Conference on Construction Engineering and Project Management
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• pp.169-173
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• 2015

The linear scheduling method or line-of-balance (LOB) is a popular choice for projects that involve repetitive tasks during project execution. The method, however, produces deterministic schedule that does not convey a range of potential project outcomes under uncertainty. This results from the fact the basic scheduling parameters such as crew production rates are estimated to be deterministic based on single-point value inputs. The current linear scheduling technique, therefore, lacks the capability of reflecting the fluctuating nature of the project operation. In this paper the authors address the issue of how the variability of operation and production rates affects schedule outcomes and show a more realistic description of what might be a realistic picture of typical projects. The authors provide a solution by providing a more effective and comprehensive way of incorporating the crew performance variability using a Monte Carlo simulation technique. The simulation outcomes are discussed in terms of how this stochastic approach can overcome the shortcomings of the conventional linear scheduling technique and provide optimum schedule solutions.

• 한국태양에너지학회 논문집
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• 제37권6호
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• pp.69-77
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• 2017

The amount of solar irradiation obtained by a photovoltaic (PV) solar panel is the major factor determining the power generated by a PV system, and the array tilt angle is critical for maximizing panel radiation acquisition. There are three types of PV systems based on the manner of setting the array tilt angle: fixed, semi-fixed, and tracking systems. A fixed system cannot respond to seasonal solar altitude angle changes, and therefore cannot absorb the maximum available solar radiation. The tracking system continually adjusts the tilt angle to absorb the maximum available radiation, but requires additional cost for equipment, installation, operation, and maintenance. The semi-fixed system is only adjusted periodically (usually seasonally) to obtain more energy than a fixed system at an overall cost that is less than a tracking system. To maximize semi-fixed system efficiency, determining the optimal tilt angle adjustment schedule are required. In this research, we conducted a simulation to derive an optimal operation schedule for a semi-fixed system in Seoul, Korea (latitude $37.5^{\circ}$). We implemented a solar radiation acquisition model and PV genereation model on MATLAB. The optimal operation schedule was derived by changing the number of tilt angle adjustments throughout a year using a Dynamic Algorithm. The results show that adjusting the tilt angle 4 times a year was the most appropriate. and then, generation amount of PV system increased 2.80% compared with the fixed system. This corresponds to 99% compared to daily adjustment model. This increase would be quite valid as the PV system installation area increased.

• 산업공학
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• 제9권2호
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• pp.143-158
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• 1996

This paper deals with the development of a software module for production planning and scheduling activities of an actual die-production management system. Scheduling problems, such as master schedule and detailed schedule, are the focal point of the whole article and they are considered in terms of operation procedures. Schedule-explosion module and load levelling module are the essential components of schedule management. The scheduling module allocates the resources, determines the process priority and the planned start and completion dates of processes. Rescheduling can be done to manipulate unforeseen situations that schedule is delayed owing to inducing defectives, machine breakdowns and lumpy demands. This study indicates a practical model for the die-producation management and helps to apply it for jobs in the real situation.

• 한국보건간호학회지
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• 제2권2호
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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.

• 전기학회논문지
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• 제63권12호
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• pp.1627-1636
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• 2014

In real-time electricity price environment, the energy management system can provide the significant advantage to the residential, commercial and industrial customers since it can reduce the electricity charge by controlling the load operation effectively in response to time-varying price. However, the earlier studies for load management mainly focus on the residential and commercial customers except for the industrial customers because most of load operations in industrial sector are intimately related with production schedule. So, it is possible that the inappropriate control of loads in industrial sector causes huge economic loss. In this paper, therefore, we propose load control algorithm for factory energy management system(F-EMS) to achieve not only minimizing the electricity charges but also maintaining production efficiency by considering characteristics of load operation and production schedule. Considering characteristics of load operation and production schedule, the proposed load control algorithm can reflect the various characteristics of specific industrial customer and control their loads within the range that the production efficiency is maintained. Simulation results show that the proposed load control algorithm for F-EMS leads to significant reduction in the electricity charges and peak power in industrial sector.

• 전기학회논문지
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• 제65권8호
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• pp.1347-1354
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• 2016

This paper presents optimal operational scheduling model and economic assessment of Li-ion battery energy storage systems installed in non-residential customers. The operation schedule of a BESS is determined to minimize electric bill, which is composed of demand and energy charges. Dynamic programming is introduced to solve the nonlinear optimization problem. Based on the optimal operation schedule result, the economics of a BESS are evaluated in the investor and the social perspective respectively. Calculated benefits in the investor or customer perspective are the savings of demand charge, energy charge, and related taxes. The social benefits include fuel cost savings of generating units, construction deferral effects of the generation capacity and T&D infra, and incremental CO2 emission cost impacts, etc. Case studies are applied to an large industrial customer that shows similarly repeated load patterns according to days of the week.

• 설비공학논문집
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• 제20권2호
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• pp.97-105
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• 2008

This paper presents simulated and experimental test results of optimal control algorithm for an encapsulated ice thermal storage system with full capacity chiller operation. The algorithm finds an optimal combination of a chiller and/or a storage tank operation for the minimum total operation cost through a cycle of charging and discharging. Dynamic programming is used to find the optimal control schedule. The conventional control strategy of chiller-priority is the baseline case for comparing with the optimal control strategy through simulation and experimental test. Simulation shows that operating cost for the optimal control with chiller on-off operation is not so different from that with chiller part load capacity control. As a result from the experimental test, the optimal control operation according to the simulated operation schedule showed about 14 % of cost saving compared with the chiller-priority control.