• Title/Summary/Keyword: cost-schedule data

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Structural Work Duration Estimation and Analysis of Tower-Type Residential Construction Project

  • Yun, Seok Heon;Kim, Sang Chul
    • Architectural research
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    • v.14 no.3
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    • pp.109-116
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    • 2012
  • In order to shorten construction duration in high-rise project, construction company tried to make various system method toward simplifying construction method and shortening construction duration. Though high-rise tower-type residential project are growing, there are few case study. Then, the data for preliminary schedule planning in high-rise tower-type residential project are rare. This purpose of research shows construction method in structural work in high-rise tower-type residential project, suggests schedule planning in structural work through case studies. The structural work in high-rise tower-type residential project was divided 1) completion of form in lower part and 2) the typical floor under penthouse. The statistical analysis were done in two parts, the data from analysis were used in simulation. Finally, researcher confirmed the difference between real construction duration and the figure from simulation. The results shows that the more construction duration is long, the less ACS's cost is low. It means the effectiveness is increasing in ACS, if the floor number is high.

Patterns and Trends in Schedule Control Practice of Korean General Contractors (건설기업 공정관리 패턴의 현황 및 변화 분석)

  • Jung, Young-Soo;Kim, Hee-A
    • Korean Journal of Construction Engineering and Management
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    • v.12 no.4
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    • pp.88-96
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    • 2011
  • Schedule control is an exceedingly fundamental and important construction business function. Even though enormous research efforts have been exerted in this area, there has been no comprehensive and quantitative study exploring detailed cost control practice of construction companies in terms of practical patterns and trends. In this context, this paper surveyed the patterns and trends of schedule control practice of Korean general contractors. Schedule control process as compared to schedule reduction is focused in this paper. The variables for practical schedule control process were identified first. A survey questionnaire was then developed and used in order to collect data from Korean general contractors. Survey results analyzing responses from 45 companies show that scheduling processes in practice have been significantly enhanced in terms of software tools, manuals, and capabilities of engineers.

Using the common-WBS based on the Construction Classification System for the integration of Schedule and Cost information (공정-내역정보 연계를 위한 통합건설정보분류체계기반의 공통WBS 활용방안 -도로공사 사례를 중심으로-)

  • Yun, Seok-Heon;Kim, Seong-Sig
    • Korean Journal of Construction Engineering and Management
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    • v.6 no.6 s.28
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    • pp.107-114
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    • 2005
  • The time and cost is the most important information for the construction project management. Currently, a lot of studies have been done in order to clearly relate them with each other, but there have been some difficulties. Because of the characteristic of Korean government contract law, the construction project in Korea is managed by only cost and the time and cost information is distinctly separated. In order to manage all the major construction project information smoothly, the time and cost information should have relation with each other. This study suggest methods for relating the time and cost information, especially for road construction project of MOCT. Through the survey of construction field engineers and case study of the road construction project, several alternatives to improve the usability of construction information are suggested in this study. These alternatives can support relating other construction information.

The Efficient Implementation of DGPS System with Low Cost GPS modules Using a Recursive Least Squares Lattice Filtering Method (RLSLF 방식을 적용하여 저가의 GPS 모듈로 구성된 DGPS 시스템의 효율적인 구현)

  • 이창복;주세철;김기두;김영범
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.32B no.10
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    • pp.1338-1346
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    • 1995
  • In this paper, we suggest the implementation of a DGPS system using two low cost commercial C/A code GPS modules and modems and its efficient operational techniques to provide DGPS service which guarantees the position accuracy of better than 10 meters for more users. The proposed DGPS system can be implemented easil at low cost because it needs a GPS module and a modem for each reference station and user. The reference station makes plans of the receiving schedule from the satellite set at each period and then provides the correction data for various satellite sets in a period. The main contribution of this paper is that users can utilize the correction data continuously and efficiently through the recursive least squares lattice filtering method. Experimental results show the position accuracy of better than 10 meters using the suggested DGPS system in almost real time.

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Suggestions for Sustainable Construction Project Management (지속가능한 건설사업관리를 위한 발전방안)

  • Lee, Seung-Hoon
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2021.11a
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    • pp.240-241
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    • 2021
  • For the sustainable development of the domestic construction project management field, each CM company should try to diversify in terms of service contract types and scope of work while having internationally competitive technical and service capabilities as follows. First, from the initiation of the service to the completion, the CMr should be able to establish and execute a plan to create specific outcomes. Second, CMr must have the capability to produce weekly or monthly cost, schedule, risk, and scope management reports. In addition, it should be possible to apply the cost plus sliding fee method or to systematically and continuously accumulate and process data generated during the construction process.

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Visualization and Optimization of Construction Schedule Considering the Geological Conditions in the Complicated Underground Cavern (지하비축기지 건설시 지질조건을 고려한 건설공정의 가시화와 최적화 사례)

  • Choi, Yong-Kun;Park, Joon-Young;Lee, Sung-Am;Kim, Ho-Yeong;Lee, Hee-Suk;Lee, Seung-Cheol
    • Tunnel and Underground Space
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    • v.19 no.3
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    • pp.167-173
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    • 2009
  • Underground storage cavern is known as the most complicated underground project because of the complexity of construction schedule, tunnel size, and geological problems. In order to optimize the construction schedule of underground storage cavern, two up-to-date technologies were applied. The first technology was 3 dimensional visualization of complicated underground structures, and the second was 4 dimensional simulation considering construction resources, geological conditions and construction schedule. This application case shows that we can achieve optimized construction schedule in the ways to optimize the number of work teams, fleets, the sequence of tunnel excavation, the commencement time of excavation and the hauling route of materials and excavated rocks. 3 dimensional modeling can help designer being able to understand the status of complicated underground structures and to investigate the geological data in the exact 3 dimensional space. Moreover, using 4 dimensional simulation, designer is able to determine the bottle neck point which appear during hauling of excavated rocks and to investigate the daily fluctuation in cost.

Application of Big Data and Machine-learning (ML) Technology to Mitigate Contractor's Design Risks for Engineering, Procurement, and Construction (EPC) Projects

  • Choi, Seong-Jun;Choi, So-Won;Park, Min-Ji;Lee, Eul-Bum
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.823-830
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    • 2022
  • The risk of project execution increases due to the enlargement and complexity of Engineering, Procurement, and Construction (EPC) plant projects. In the fourth industrial revolution era, there is an increasing need to utilize a large amount of data generated during project execution. The design is a key element for the success of the EPC plant project. Although the design cost is about 5% of the total EPC project cost, it is a critical process that affects the entire subsequent process, such as construction, installation, and operation & maintenance (O&M). This study aims to develop a system using machine-learning (ML) techniques to predict risks and support decision-making based on big data generated in an EPC project's design and construction stages. As a result, three main modules were developed: (M1) the design cost estimation module, (M2) the design error check module, and (M3) the change order forecasting module. M1 estimated design cost based on project data such as contract amount, construction period, total design cost, and man-hour (M/H). M2 and M3 are applications for predicting the severity of schedule delay and cost over-run due to design errors and change orders through unstructured text data extracted from engineering documents. A validation test was performed through a case study to verify the model applied to each module. It is expected to improve the risk response capability of EPC contractors in the design and construction stage through this study.

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A Case Study of the Effects of Cloud System on the Efficiency Improvement and Cost-saving of Production Processes (클라우드 시스템이 기업의 공정관리 효율성과 비용절감에 미치는 영향 - J사(社) 사례(事例)를 중심(中心)으로 -)

  • Lee, Bo-Young;Park, Yong-Tae
    • The Journal of Information Systems
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    • v.26 no.2
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    • pp.143-164
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    • 2017
  • Purpose The purpose of this study is to investigate to investigate the effects of cloud system on the efficiency improvement and cost-saving of production processes. It also tries to provide small- and medium-sized companies and IT practitioners with a practical guideline for a successful implementation of could systems. Design/methodology/approach This study was conducted by observing and analyzing a case of implementing a cloud system at a small-sized company having multiple job sites in terms of the improvement in data-sharing efficiency and cost-saving of production processes. Findings This study found that cloud system was an effective way of sharing data between and among production processes of geographically scattered job sites and thus, helped the company to remedy problems of work schedule and load-balance along sequential production processes. Cloud system also allowed the company to reduce the number of visits made by 3-inspectors to four job sites by 75% and the personnel cost related to inspectors' site visit.

Solving Cluster Based Multicast Routing Problems Using A Simulated Annealing Algorithm (시뮬레이티디 어닐링 알고리즘을 이용한 클러스터 기반의 멀티캐스트 라우팅 문제 해법)

  • Kang Myung-Ju
    • Journal of the Korea Society of Computer and Information
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    • v.9 no.3
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    • pp.189-194
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    • 2004
  • This paper proposes a Simulated Annealing(SA) algorithm for cluster-based Multicast Routing problems. Multicasting, the transmission of data to a group, can be solved from constructing multicast tree, that is. the whole network is partitioned to some clusters and the clusters are constructed by multicast tree. Multicast tree can be constructed by minimum-cost Steiner tree. In this paper, an SA algorithm is used in the minimum-cost Steiner tree. Especially, in SA, the cooling schedule is an important factor for the algorithm. Hence, in this paper, a cooling schedule is proposed for SA for multicast routing problems and analyzed the simulation results.

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Cervical cancer screening strategies based on stochastic process (확률모형을 이용한 자궁경부암 조기검진 전략)

  • Phee, Young-Gyu;Lee, Jeong-Hee;Jeong, Seong-Hwa
    • Journal of the Korean Data and Information Science Society
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    • v.21 no.1
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    • pp.129-138
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    • 2010
  • The purpose of this study was to investigate the most cost-effectiveness screening strategies for cervical cancer in Korea. We calculated the age-specific cervical cancer incidence rate from Korea Central Cancer Registry (2003), and then estimated the schedule sensitivity, detection probability, and screening and confirmative costs of each screening strategy based on the stochastic process (Lee and Zelen, 1998). The efficiency of the screening strategy was evaluated by incremental cost-effectiveness analysis. The most effective strategy was every 3 years pap smear test between the age of 35 and 65 years in the cervical cancer screening. The findings of this study will be helpful to evaluate efficiency of cancer screening strategies, and to provide the theoretical background of development and assessment of early detection of cancer in Korea.