• Title/Summary/Keyword: 실적기반

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Preliminary Scheduling Based on Historical and Experience Data for Airport Project (초기 기획단계의 실적 및 경험자료 기반 공항사업 기준공기 산정체계)

  • Kang, Seunghee;Jung, Youngsoo;Kim, Sungrae;Lee, Ikhaeng;Lee, Changweon;Jeong, Jinhak
    • Korean Journal of Construction Engineering and Management
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    • v.18 no.6
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    • pp.26-37
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    • 2017
  • Preliminary scheduling at the initial stage of planning phase is usually performed with limited information and details. Therefore, the reliability and accuracy of preliminary scheduling is affected by personal experiences and skills of the schedule planners, and it requires enormous managerial effort (or workload). Reusing of historical data of the similar projects is important for efficient preliminary scheduling. However, understanding the structure of historical data and applying them to a new project requires a great deal of experience and knowledge. In this context, this paper propose a framework and methodology for automated preliminary schedule generation based on historical database. The proposed methodology and framework enables to automatically generate CPM schedules for airport projects in the early planning stage in order to enhance the reliability and to reduce the workload by using structured knowledge and experience.

Development of a Cost Index for Site Developing Project (단지조성공사용 공사비 지수의 개발)

  • Bae Keon;Lee Tai-Sik;Park Jong-Hyun;Lee Won-Yong
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • autumn
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    • pp.423-426
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    • 2002
  • The foundation for developing a cost estimation system based on historical data has been being prepared in Korea. Historical data is a priori of developing a cost estimation model. Cost Index, one of the historical data, is used to estimate construction cost and to adjust the amount of contract money in the foreign country, whereas it is not used in domestic except for the road construction project in Korea. Construction cost indices can be used by an estimator in tender analysis, pricing, price adjustment, cost planning, and forecasting. In this regards, this paper identified the problems in developing Cost Index evaluation process by comparing the standard of framing Cost Index used in British to the one used in Korea. Then, the scheme for improving a Cost Index required for Site Developing Construction was proposed. Twenty-two cases of engineering estimate data were used to compare the domestic standard to the foreign one in deriving a Cost Index.

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A Study on the Actual Construction Database Modeling and Application for Commercial Buildings (상업건축물의 공사칠적 데이터베이스(DB) 모델구축 밑 응용방안)

  • Kim Sun-Kuk;Lee Sung-Ho;Kim Tae-Hui;Joo Jin-Kyu
    • Korean Journal of Construction Engineering and Management
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    • v.3 no.1 s.9
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    • pp.83-90
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    • 2002
  • Actual construction data are unsystematically handled and uselessly hoarded after completion of the project although actual construction data can be applied to the various works of the future projects. Many researches have been carried out by several engineers and scholars of construction firms and research institutes, but the level of the application is not plausible yet. The objective of this paper is to propose a web-based data model and application system for commercial buildings in order to enhance the usability of the actual construction data on line. The principal factors of commercial building project data and the user$^{\circ}{\phi}s$ requirements in various areas, such as planning, design, procurement and construction and so on are analyzed to implement the database structure of the proposed system. The application of resource Information focused on cost, manpower, equipment is included in the system, which is expected to enhances the usability of actual database application system compared with other researches proposed so far.

Evaluating Publication Productivity of Korean IS Researchers in Leading IS Journals, 2007~2009 (선도 IS 저널에 출판된 한국 IS 연구자의 연구실적 측정: 2007년부터 2009년까지)

  • Lim, Se-Hun;Min, Koung-Huy
    • Information Systems Review
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    • v.13 no.2
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    • pp.73-87
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    • 2011
  • This study measures the research productivity of IS researchers in South Korea. In this study, we select 11 leading IS journals, those are MIS Quarterly(MISQ). Information Systems Research(ISR), Journal of Management Information Systems(JMIS), Journal of the Association for Information Systems(JAIS), European Journal of Information Systems(EJIS), Information Systems Journal(ISJ), Decision Support Systems(DSS). Communications of the Association for Information Systems(CAIS), Information and Management(I&M), Journal of Strategy Information Systems(JSIS), and Journal of Information Technology(JIT). We analyzed the published articles of IS researchers in South Korea between 2007 and 2009 using scientometric techniques for measuring research productivity. The findings of this study provide evidences that IS research productivity has become a comprehensive information to business tool to assist advertizing of electing student of IS department and university, and take a person into IS professor in the IS job market. IS productivity research on Korean IS researcher rarely showed. The unique study showed valuable contributions for academicians to provide a better comprehension of publishing trend of leading IS journals.

Comparison between Planned and Actual Data of Block Assembly Process using Process Mining in Shipyards (조선 산업에서 프로세스 마이닝을 이용한 블록 조립 프로세스의 계획 및 실적 비교 분석)

  • Lee, Dongha;Park, Jae Hun;Bae, Hyerim
    • The Journal of Society for e-Business Studies
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    • v.18 no.4
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    • pp.145-167
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    • 2013
  • This paper proposes a method to compare planned processes with actual processes of bock assembly operations in shipbuilding industry. Process models can be discovered using the process mining techniques both for planned and actual log data. The comparison between planned and actual process is focused in this paper. The analysis procedure consists of five steps : 1) data pre-processing, 2) definition of analysis level, 3) clustering of assembly bocks, 4) discovery of process model per cluster, and 5) comparison between planned and actual processes per cluster. In step 5, it is proposed to compare those processes by the several perspectives such as process model, task, process instance and fitness. For each perspective, we also defined comparison factors. Especially, in the fitness perspective, cross fitness is proposed and analyzed by the quantity of fitness between the discovered process model by own data and the other data(for example, the fitness of planned model to actual data, and the fitness of actual model to planned data). The effectiveness of the proposed methods was verified in a case study using planned data of block assembly planning system (BAPS) and actual data generated from block assembly monitoring system (BAMS) of a top ranked shipbuilding company in Korea.

브랜드자산의 가치평가 모형과 평가지수 개발

  • Seong, Tae-Eung;Choe, San;Jeon, Seung-Pyo
    • Proceedings of the Korea Technology Innovation Society Conference
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    • 2017.11a
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    • pp.735-746
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    • 2017
  • 기업의 이윤창출은 보유 제품 기반의 사업으로부터 거둬들이는 미래 수익을 기반으로 예측되기도 하는데, 과거 발생한 매출실적에 기여한 요인은 일반적으로 인적자산, 시장자산, 기술자산으로 구분된다. 이 중에서 특허, 디자인과 같은 기술자산이 일정 비중을 차지하는 반면에, 고가의 소비재(예. 고급시계, 핸드백, 남성/여성 정장, 승용차 등)에서는 브랜드 자산이 매출창출에 상당한 역할을 한 경우를 종종 접하게 된다. 그렇다면, 새롭게 시장에 출시된 경쟁제품의 사업화에서 브랜드가 차지하는 비중은 얼마인지 어떻게 결정할 것인가? 브랜드 이전 라이센싱, 투자의 의사결정, 브랜드전략 등 다양한 목적을 위해 브랜드 자산의 경제적 가치를 객관적을 판단하는 것은 매우 의미있는 일이라 하겠다. 그러나 현재 시점에서 브랜드 자산의 가치평가 방법에 대한 표준화된 가이드라인이 없는 실정이다. 이에 본 연구는 기업 브랜드자산의 가치평가를 위한 사업가치 산출방식을 수익접근법 기반으로 개발하고, 실제 브랜드 보유 기업의 과거 2~3년간 매출실적과 제안된 평가모형에 적용한 결과를 비교 분석해본다. 또한, 브랜드자산의 가치평가에서 브랜드 인지도와 브랜드 충성도가 어떻게 반영되는지를 살펴보기로 한다. 향후 연구에서는 브랜드자산의 가치평가 모형을 실제 시범사례에 적용할 때 발생하는 한계점을 극복하기 위한 개선방안을 고도화 연구로 수행하기로 한다.

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A User Class-based Service Filtering Policy for QoS Assurance (QoS 보장을 위한 사용자 등급 기반 서비스 수락 정책)

  • Park, Hea-Sook;Ha, Yan;Lee, Soon-Mi
    • Journal of KIISE:Computing Practices and Letters
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    • v.10 no.4
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    • pp.293-298
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    • 2004
  • To satisfy the requirements for QoS and acceptance ratio of the users using multimedia content service, it is required to control mechanism for QoS assurance and allocation of the stream server' resources based on CoS(Class of Service). To compare performance of the algorithm, we have classified the user by two classes (super class, base class) and control the acceptance ratio of user's requests by user's class information. We have experimented the test of network resources and test of processing time under server/client environment and agent environment. MA-URFA based on agent increases the acceptance ratio of super class and utilization ratio of network resources.

Mobile-Based ERP Process Design (모바일 기반 ERP 프로세스 설계)

  • Kim, Gui-Jug
    • Proceedings of the Korea Information Processing Society Conference
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    • 2007.05a
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    • pp.197-200
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    • 2007
  • 본 연구에서는 정보시스템을 보유하고 있는 제조업체를 위하여 인터넷 접근이 가능하도록 모바일 기반의 ERP 시스템 프로세스를 설계하였다. 휴대용 단말기를 이용하여 작업 현장에서 직접 ERP 시스템에 접근하여 정보 서비스를 받을 수 있으며, 구매정보 또는 협력업체와 인터넷을 이용하여 구매정보를 실시간으로 전달하고 각종 납품 실적을 협력업체에서 확인할 수 있는 시스템이다. 본 시스템은 모바일을 기반으로 한 ERP 시스템으로 업무 리드타임을 단축시키고 생산성의 극대화를 꾀하며 사용의 편의성과 이동성 제공으로 인해 사용자 만족도 또한 향상 시킬 수 있을 것으로 기대된다.

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User Request Filtering Algorithm for QoS based on Class priority (등급 기반의 QoS 보장을 위한 서비스 요청 필터링 알고리즘)

  • Park, Hea-Sook;Baik, Doo-Kwon
    • The KIPS Transactions:PartA
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    • v.10A no.5
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    • pp.487-492
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    • 2003
  • To satisfy the requirements for QoS of Users using multimedia content stream service, it is required to control mechanism for QoS based on class priority, URFA classifies the user by two classes (super class, base class) and controls the admission ratio of user's requests by user's class information. URFA increases the admission ratio class and utilization ratio of stream server resources.

The Development of a Construction Productivity Prediction Model Based on Data Mining (데이터 마이닝 기반의 건설 생산성 예측 모델 개발)

  • Woo, Gi-Beom;Ahn, Jy-Sung;Oh, Se-Wook;Kim, Young-Suk
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2007.11a
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    • pp.813-818
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    • 2007
  • Construction productivity is a key factor for efficiency evaluation of construction work process, project performance measurement, and basic data of work plan in construction industry. However, although construction productivity is important in construction industry, gathering methodology and analyzing methodology of productivity data are not well-organized therefore productivity data is not utilized in the construction industry The purpose of this study is to develop productivity prediction system using data mining technology based on activities and to suggest frameworks about productivity data collection, accumulation.

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