• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제13권1호
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• pp.28-34
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• 2024

이러닝은 학습자 자율에 의해 진행되므로 성공적인 학습을 위해서는 지속적인 참여를 위한 학습동기가 무엇보다 중요하다. 평생교육에 참여하는 성인학습자가 증가하면서 이들의 학습참여와 참여에 영향을 미치는 학습동기에 대한 연구가 필요하다. 학습동기와 학습참여간의 관계를 설명하는 기대가치이론과 자기주도학습이론을 바탕으로 학습동기의 구성요소(학습가치, 비용, 자기조절, 일정관리)가 학습참여에 미치는 영향을 분석하였다. 이러닝 프로그램을 MoodleCloud에 구축하였고, 학습자는 설문에 답한 후 학습을 진행하였다. 학습 진행 과정에서 수집한 로그데이터로 산출한 학습참여점수와 설문 응답 데이터를 이용하여 회귀분석을 실시하였다. 분석 결과 성인학습자의 이러닝 학습참여에 유의한 영향을 미치는 동기요인은 학습가치와 일정관리이며, 학습가치에 대한 생각은 남녀 간의 차이가 있는 것으로 나타났다. 즉 성인학습자가 이러닝 학습 프로그램의 가치를 높게 인지할수록, 학습자 스스로 일정관리 능력이 있을수록 학습에 많이 참여한다고 할 수 있다. 이 연구 결과는 학습자와 교수자의 교수·학습전략 수립에 활용될 수 있고, 궁극적으로는 이러닝 중도 탈락을 방지하는 데 도움이 될 수 있다.

• International Journal of Control, Automation, and Systems
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• 제3권3호
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• pp.493-501
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• 2005

A power plant simulation tool ('PowerSim') has been developed with 10 years experience from the development of a plant simulator for efficient modeling of a power plant. PowerSim is the first developed tool in Korea for plant simulation with various plant component models, instructor station function and the Graphic Model Builder (GMB). PowerSim is composed of a graphic editor using general purpose design software, a netlist converter, component models, the scheduler, Instructor Station and an executive. The graphic editor generates a netlist that shows the connection status of the various plant components from the Simdiagram, which is drawn by Icon Drag method supported by GUI environment of the PowerSim. Netlist Converter normalizes the connection status of the components. Scheduler makes scheduling for the execution of the device models according to the netlist. Therefore, the user makes Simdiagram based on the plant Pipe and Instrument Drawing (P&ID) and inputs the plant data for automatic simulating execution. This paper introduces Graphic Model Builder (GMB), instructor station, executive and the detailed introduction of thermal-hydraulic modeling. This paper will also introduce basic ideas on how the simulation Diagram, based on netlist generated from general purpose design software, is made and how the system is organized. The developed tool has been verified through the simulation of a real power plant.

• 국제학술발표논문집
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• The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
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• pp.58-65
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• 2011

Construction Productivity is one of the most important elements in construction management. It is used in construction process scheduling and cost management, which are significant sector in construction management. It is important to make appropriate schedule and monitor how works are done within schedule. But construction project contains uncertainty and inexactitude, modifying construction schedule is being an issue to manage construction works well. Even though prediction and monitoring of productivity can be principal activity, it is hard to predict productivity with manager's experience and a standard of estimate. A large number of factors influencing productivity, such as drawing, construction method, weather, labor, material, equipment, etc. But current calculation of productivity depends on empirical probability, not consider difference of each influencing factor. In this research, the aim is to present a productivity predicting regression model of form work, which includes effectiveness of influences factors. 5 variables existed inside form work are selected by interview and site research based on literature review of existed various productivity influencing factors. The effectiveness and correlation of productivity influencing factors are analyzed by statistical approach, and it is used to make productivity regression model. The finding of this research will improves monitoring and controlling of project schedule in construction phase.

• 한국건설관리학회논문집
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• 제15권6호
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• pp.63-70
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• 2014

건설폐기물의 재활용과 재사용 비율을 높이기 위해서는 건축물의 분별해체 공법이 적용되어야 한다. 본 연구에서는 공동주택을 대상으로 시험시공을 실시하였다. 먼저 해체 과정에서 발생할 수 있는 모든 건설페기물을 건물의 각 부위별로 조사하였다. 해체대상 건물의 도면을 작성하고 이 도면을 분석하여 각 건설페기물의 발생량을 예측하였다. 공동주택의 한 빌딩씩 분별해체와 일반해체과정을 실시하면서 이 과정에 투입되는 인력 및 장비의 소요시간을 측정하고, 또한 각 해체과정에서 발생된 폐기물을 정밀 계측하여 이것의 체적, 단위중량 등을 제시하였다. 이러한 자료의 분석을 통해 도면분석 결과와 현장에서 발생된 건설페기물의 양을 비교분석하여 현장 회수율, 체적 및 중량 환산계수, 폐기물 원단위를 제안하였다. 이러한 계수는 건설페기물의 발생량 예측과 운반비 산정, 작업 공정계획 수립 등을 위한 기초적 자료로서 활용될 수 있을 것이다.

• 한국건설관리학회논문집
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• 제5권4호
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• pp.122-129
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• 2004

현재 대부분의 리모델링 현장은 시설에 대한 사전정보부족, 공간적인 제약과 같은 예상치 못한 현장조건. 작업범위의 변경 등으로 인해 촉박한 공사기간으로 추진되고 있으며, 이는 조악한 품질의 원인이 되고 있다. 또한 다소 복잡한 작업체계를 가지고 있어 기존시설의 운영일정과 공사일정과의 충돌로 인한 갑작스런 작업대기시간의 발생 등 효율적인 공정관리에도 많은 어려움이 뒤따른다. 따라서 본 연구에서는 실제 리모델링 사례를 통하여 현장관리 절차 및 사례현장에서 나타난 시공관리상 문제점의 개선과정을 통해 리모델링 공사현장의 효율적 관리방안을 제시하는 것을 목적으로 하였다. 관리방안의 수립을 위해 문헌을 통하여 관리상의 문제점을 도출하였고, 사례분석을 통해 공사단계별 현장관리절차, 관리사항을 파악하여 관리상 성공요인을 도출하고, 향후 리모델링 현장에서의 효율적 관리방안을 제시하였다.

• 산업경영시스템학회지
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• 제42권1호
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• pp.64-73
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• 2019

The manufacturing companies under Make-To-Order (MTO) production environment face highly variable requirements of the customers. It makes them difficult to establish preemptive production strategy through inventory management and demand forecasting. Therefore, the ability to establish an optimal production schedule that incorporates the various requirements of the customers is emphasized as the key success factor. In this study, we suggest a process of designing the simulation model for establishing production schedule and apply this model to the case of a flat glass processing company. The flat glass manufacturing industry is under MTO production environment. Academic research of flat glass industry is focused on minimizing the waste in the cutting process. In addition, in the practical view, the flat glass manufacturing companies tend to establish the production schedule based on the intuition of production manager and it results in failure of meeting the due date. Based on these findings, the case study aims to present the process of drawing up a production schedule through simulation modeling. The actual data of Korean flat glass processing company were used to make a monthly production schedule. To do this, five scenarios based on dispatching rules are considered and each scenario is evaluated by three key performance indicators for delivery compliance. We used B2MML (Business To Manufacturing Markup Language) schema for integrating manufacturing systems and simulations are carried out by using SIMIO simulation software. The results provide the basis for determining a suitable production schedule from the production manager's perspective.

• Journal of Construction Engineering and Project Management
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• 제7권1호
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• pp.13-25
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• 2017

Construction projects have been observed to have problems of project delays and disruptions and the South African construction industry is not an exception. This research identified causes and effects of project delay and disruption through a desktop study. Subsequently, a questionnaire was designed and used to conduct a survey to obtain the views of the three main construction project participants - clients, consultants, and contractors. The questionnaire contains 48 causes and 13 effects of project delay and disruption identified from the desktop study. This research identified sixteen most important causes of project delay and disruption and five most important effects of delay and disruption. Sixteen most important causes were: (1) strikes, (2) rework due to errors during construction, (3) shortage of materials in market, (4) suspension of work by the client, (5) poor communication between the parties, (6) ineffective planning and scheduling of project, (7) delays in issuing working drawings, (8) mistakes and discrepancies in design documents, (9) shortage of labours and equipment, (10) delay in decision making process by the client, (11) unforeseen ground conditions, (12) unclear and inadequate details in drawing, (13) inadequate contractor's experience, (14) delay in approving changes in the scope of works, (15) delay in material delivery and (16) unacceptable quality of materials. The five major effects include: (1) create stress on contractors, (2) cost overrun, (3) time overrun, (4) poor quality of work due to rush, and (5) disputes. Furthermore, the result of this research was compared with the result of previous studies conducted in other regions of Africa in terms of causes and effects of project delay and disruption. The research concludes that numerous causes and effects of delay and disruption are limited to South African construction projects based on the comparison. The causes limited to South African construction projects include: (1) strikes, (2) suspension of work by the client (3) mistakes and discrepancies in design documents (4) delay in approving changes in the scope of works and (5) unacceptable quality of materials, while the two major effects limited to South African construction projects includes: (1) create stress on contractors and (2) poor quality of work. In conclusion, some recommendations were made in order to minimise the causes of delay and disruption identified.