• Title/Summary/Keyword: architectural construction cost

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IMPROVING DECISION SUPPORT PROCESS IN COOPERATIVE DESIGN FOR BUILDING PROJECT

  • Su-Kyung Cho;Chang-Hyun Shin;Jae-Youl Chun;Yoon-Ki Choi;Dong-Woo Shin
    • International conference on construction engineering and project management
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    • 2005.10a
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    • pp.1144-1149
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    • 2005
  • This paper presents how to establish the decision support model for the cooperative design in order to improve design coordination and optimize the building system. With this view, the paper presents the method that analyzes decision making participants of each building system on drawings. It also presents the combination evaluation method from the viewpoint of performance, cost and constructability to improve the decision making process in cooperative design.

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A PROFIRABILITY MODEL BASED ON PRIMARY FACTOR ANALYSIS IN THE EARLY PHASE OF HOUSING REDEVELOPMENT PROJECTS

  • Kyeong-Hwan Ahn;U-Yeong Gim;Jong-Sik Lee;Won Kwon;Jae-Youl Chun
    • International conference on construction engineering and project management
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    • 2013.01a
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    • pp.497-501
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    • 2013
  • An important decision-making element for the success of housing redevelopment projects is a prediction of the profitability of redevelopment. Risk factors influencing profitability were deduced through a review of the literature about profitability and a risk analysis developed by a survey of maintenance projects. In addition, a profitability prediction depending on the analysis of risk factors is necessary to judge the business feasibility of a project in the planning stages. A profitability prediction model of management and disposal method, which is calculated by proportional rate and which helps estimate contributions to profitability, is proposed to prevent difficulties in business development. The proposed model has the potential to prevent interruptions, reduce the length of projects, generate cost savings, and enable rational decision-making during the project period by allowing a judgment of profitability at the planning stage.

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DEVELOPMENT OF KNOWLEDGE BASED SELECTION PROCESS FOR FINISHING MATERIALS AT BUILDING DESIGN PHASE

  • Su-Ho Yun;Hyun-Soo Park;Gyu-Tae Noh;Hye-Rin Lee;Kyo-Jin Koo
    • International conference on construction engineering and project management
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    • 2011.02a
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    • pp.209-212
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    • 2011
  • Selection of finishing materials in the design stage is an important management factor in terms of use safety and satisfaction, and work cost and process. However, selection of materials in the design stage is usually conducted without related guidelines or a set process, but depends on the experience of the architect or advice of materials company employees. Therefore, the aim of this study was to develop a finishing materials selection process that can be used by a architect. Materials selection related rules collected through interview with experts and five office building cases were used as knowledge. In addition, another aim of the study was to propose a prototype system interface for use in the field.

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A Study on Estimating Construction Cost of Apartment Housing Projects Using Genetic Algorithm-Support Vector Regression (유전 알고리즘 - 서포트 벡터 회귀를 활용한 공동주택 공사비 예측에 관한 연구)

  • Nan, Jun;Choi, Jae-Woong;Choi, Hyemi;Kim, Ju-Hyung
    • Korean Journal of Construction Engineering and Management
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    • v.15 no.4
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    • pp.68-76
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    • 2014
  • The accurate estimation of construction cost is important to a successful development in construction projects. In previous studies, the construction cost are estimated by statistical methods. Among the statistical methods, support vector regression (SVR) has attracted a lot of attentions because of the generalization ability in the field of cost estimation. However, despite the simplicity of the parameter to be adjusted, it is not easy to find optimal parameters. Therefore, to build an effective SVR model, SVR's parameters must be set properly without additional data handling loads. So this study proposes a novel approach, known as genetic algorithm (GA), which searches SVR's optimal parameters, then adopt the parameters to the SVR model for estimating cost in the early stage of apartment housing projects. The aim of this study is to propose a GA-SVR model and examine the feasibility in cost estimation by comparing with multiple regression analysis (MRA). The experimental results demonstrate the estimating performance based on the percentage of estimations within 25% and find it can effectively do the accurate estimation without through the trial and error process.

Comparative Analysis of Conventional Tact and Compositive Tact in Apartment House Finishing Construction (공동주택 마감공사의 기존 Tact와 복합병행 Tact 비교분석 - 공동주택 미장공사 중심으로 -)

  • Hwang, SuHyeon;Sim, JeaHyung;Ham, NamHyuk;Kim, JaeJun
    • Korean Journal of Construction Engineering and Management
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    • v.23 no.4
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    • pp.47-56
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    • 2022
  • In a construction project, process planning is an important factor in determining the success or failure of a project. In particular, it is necessary to systematically establish a process plan in the early stage because the finishing work of an apartment house involves more interference than the foundation work or the frame work. First, in this study the problems of Tact process management were identified, Based on the data from the case project, conventional Tact process management and compositive Tact process management were compared and analyzed. Second, cost analysis was performed on applicable plastering work to suggest the necessity and direction of compositive Tact process management. Third, the appropriateness of manpower according to the number of construction households is analyzed through cost analysis. Through this, the validity and effectiveness of compositive Tact process management were verified based on the results derived from this study.

THE EFFICIENT ESTIMATE OF ENVIRONMENTAL MANAGEMENT COSTS IN THE CONSTRUCTION SITES

  • Hyuk Moon;Sung-Jin Kim;Jae-Jun Kim
    • International conference on construction engineering and project management
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    • 2005.10a
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    • pp.437-446
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    • 2005
  • Recently as people's values are changing from development phase into running stage after quality of life, so that the needs of environmentally friendly construction are gradually increasing. Also populace discontent about the pollution during construction process such as the noise and vibration caused by construction machinery is increasing. Even though it is impossible to eliminate the construction pollution fully, it is necessary to make efforts to reduce construction pollution to a minimum. In terms of construction site operating, the first possible step for solving these matters directly is that the necessary sum of expenses must be secured as the environmental management costs in the conceptual phase. However, in fact, the environmental management costs have not been secured in the budget. Generally it is the major reason not arising proper activities to prevent the pollution in the construction site. The purpose of this research is to suggest the efficient budgeting method regarding Environmental management costs to ensure the necessary sum of environmental management expenses. To provide an efficient budgeting method, interviews with the person in charge of environment management was conducted. 78 construction sites was surveyed and environmental management costs were analyzed through their historical data from the survey. According to the results of analysis, the ratio of environmental management costs is revealed 0.45% of construction cost as average comparing 0.2% of legal limit. And usually the environmental management cost was appropriated into the safety management budget. So it is needed to isolate environmental management budget securely and modify the ratio of Environmental conservation Costs in Construction Technology Management Act.

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Collaborative Process to Facilitate BIM-based Clash Detection Tasks for Enhancing Constructability

  • Seo, Jung-Ho;Lee, Baek-Rae;Kim, Ju-Hyung;Kim, Jae-Jun
    • Journal of the Korea Institute of Building Construction
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    • v.12 no.3
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    • pp.299-314
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    • 2012
  • One of reasons for introducing Building Information Modeling (BIM) is to support clash detection tasks by means of a 3D product model. In the conventional construction project process, clashes have been found during construction phase. However, it can cause cost overrun and time delay. In order to investigate and correct clash detections at design phase, relevant business process and guide for this task should be provided. This study aims to identify hindrances in clash detection tasks at the design phase and analyze its current process using IDEF0 model. Despite the convenience of IDEF0 as a systems analysis tool, professional participants might have difficulties to understand their own tasks according to business process. For this reason, in this research, Business Process Model and Notation (BPMN) is introduced to provide ideal process and required decision making governance. The provide BPMN model will provide insights for a BIM-based collaborative environment to enhance the constructability through the construction project.

An Ordinary Management System for Updating Construction Equipment Prices in the Poom-Saem Based on the Standard Market Price1 (시가표준액표를 활용한 건설공사표준품셈 건설기계가격 상시관리 시스템 개발)

  • Ahn, Bang-Ryul;Tae, Yong-Ho;Kim, Dae;Huh, Young-Ki
    • Journal of the Korea Institute of Building Construction
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    • v.15 no.4
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    • pp.397-404
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    • 2015
  • Construction equipment cost is critical to estimate the total construction costs, particularly in large and complicated projects. Public construction projects are typically estimated using the Poom-Saem which includes hourly rates for workers and equipments. Despite its importance, the construction equipment cost may not properly reflect the current market value because it is being updated every six years at most. To keep the data for construction equipment cost estimation up to date, it is highly recommended to use the standard market price that is reported each year by the Ministry of Security and Public Administration (MOSPA). However, there is still a wide gap to directly adopt the standard market price for updating the construction equipment prices. Therefore, this paper suggests an effective way to develop an ordinary management systems for updating construction equipment prices in the Poom-saem based on the standard market price.

An Analysis of Construction Execution Tasks for Successful Residential Mechanical Projects (프로젝트 성공을 위한 효과적인 시공업무 및 영향 분석 - 아파트 설비공사를 중심으로 -)

  • Kang, Sang-Hun;Kim, Dae Young
    • Korean Journal of Construction Engineering and Management
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    • v.20 no.2
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    • pp.60-67
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    • 2019
  • The main purpose of this study is to identify the tasks performed at the construction stage of apartment houses and analyze the major construction tasks that may affect the performance indicators and analyze the impact on project performance. Based on expert opinions through preliminary research, pilot data, construction database, and other research trends, domestic and foreign research trends are divided into five major tasks, and each is divided into process management (P'1 ~ P'6), construction management (C'1 ~ C'5), environmental management (E'1 ~ E'4), quality control (Q'1 ~ Q'5), safety management (S'1 ~ S'5). Subsequently, each major task was subdivided into 24 detailed tasks. An independent t-test was conducted to analyze the impact on cost. We compared the importance of achieving the project goal and identified the construction work of concrete important construction which affects not only the cost but also the schedule performance index for the degree of significance of less than 0.05.

Prediction of Building Construction Project Costs Using Adaptive Neuro-Fuzzy Inference System(ANFIS) (적응형 뉴로-퍼지(ANFIS)를 이용한 건축공사비 예측)

  • Yun, Seok-Heon;Park, U-Yeol
    • Journal of the Korea Institute of Building Construction
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    • v.23 no.1
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    • pp.103-111
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    • 2023
  • Accurate cost estimation in the early stages of a construction project is critical to the successful execution of the project. In this study, an ANFIS model was presented to predict construction costs in the early stages of a construction project. To increase the usability of the model, open construction cost data was used, and a model using limited information in the early stage of the project was presented. We analyzed existing studies related to ANFIS to identify recent trends, and after reviewing the basic structure of ANFIS, presented an ANFIS model for predicting conceptual construction costs. The variation in prediction performance depending on the type and number of membership functions of the ANFIS model was analyzed, the model with the best performance was presented, and the prediction accuracy of representative machine learning models was compared and analyzed. Through comparing the ANFIS model with other machine learning models, it was found to show equal or better performance, and it is concluded that it can be applied to predicting construction costs in the early stage of a project.