A practical tool for estimating compulsory OHS costs of residential building construction projects in Turkey

2018 ◽  
Vol 101 ◽  
pp. 326-331 ◽  
Author(s):  
Mustafa Yılmaz ◽  
Recep Kanıt
Keyword(s):  
Construction Projects ◽  
Residential Building ◽  
Building Construction ◽  
Practical Tool

scholarly journals BUILDING INFORMATICS NEURAL NETWORK AND REGRESSION HEURISTICS PROTOCOL FOR MAKING DECISIONS IN BUILDING CONSTRUCTION PROJECTS

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Lekan M. Amusan ◽  
Ignatius O. Omuh ◽  
Timothy O. Mosaku
Keyword(s):  
Construction Projects ◽  
Residential Building ◽  
Sampling Technique ◽  
Severity Index ◽  
Building Construction ◽  
Information Modeling ◽  
Building Projects ◽  
Building Information ◽  
The Stability ◽  
High Level

Building Informatics is a body of knowledge that uses the ICT computer system, digital systems, building information modeling, and state-of-the-art software in solving technical and management issues in building and construction fields. One of the modern methods used in data forecasting and modeling is Artificial Neural Networks, considering its advantage over traditional regression method. A data sample was taken of 1500 residential building projects' completion costs. Regression analysis was carried out and model validated with functionality and Jackknife re-sampling technique. 150 Questionnaires were used to capture data on factors influencing application of heuristics protocol for decisions in residential building construction projects and data samples were analyzed using severity index, ranking, and simple percentages. Analysis of data brought up some factors that influence effective application of heuristic protocol in solving decision problems in construction decision process. The linearity analysis was carried out on the model and results indicated high level of tolerance and-0.0876 lowest variation prediction quotients to 0.9878 highest variation quotients. Also, 0.069 regression model fitness coefficient (R-square) was generated with 0.9878 highest variation quotients with standard error of 0.045. The results data attests to the stability of the model generated and the model is flexible in accommodating new data and variables, thus, allows for continuous updating.

scholarly journals Factors causing design changes in Vietnamese residential construction projects: An evaluation and comparison

2020 ◽  
Vol 14 (3) ◽  
pp. 151-166
Author(s):  
Ha Duy Khanh
Keyword(s):  
Construction Industry ◽  
Construction Projects ◽  
Residential Building ◽  
Project Performance ◽  
Building Construction ◽  
Residential Construction ◽  
Implementation Phase ◽  
Design Change ◽  
Design Changes ◽  
Variance Explained

Most of the construction projects in Vietnam are suffering from the design changes during the implementation phase. These changes have a significant impact on the time and cost of the project. The primary purpose of this study is to explore factors causing the design change of residential construction projects from the Vietnamese perspective. This study has used a questionnaire to collect data for the occurrence and effect of these factors on project performance. Based on the literature review, there are a total of 28 initial factors filtered. These factors were classified into four cases: environment, clients, consultants, and contractors. The results of the analysis showed that there is almost no difference in mean between groups of respondents, and there is a relatively high consensus in ranking the factors between project parties. Based on factor analysis, there are four principal components extracted from all initial factors, with total variance explained of nearly 65.2%. In addition, an evaluation sheet for the overall impact of factors on project performance is proposed. The result indicated that the level of impact is 70.7 per the scale of 100. Eventually, a comparison with other construction project types has been made to understand generally the factors of design changes in the construction industry. Keywords: design change; residential building; construction management; Vietnam.

scholarly journals Management, quality and economy in home building construction

2020 ◽  
Vol 1 (2) ◽  
pp. 12-17
Author(s):  
Khosro Zehro ◽  
Shahram Jkhsi
Keyword(s):  
Construction Projects ◽  
Residential Building ◽  
International Study ◽  
Building Construction ◽  
Successful Outcome ◽  
Project Outcome ◽  
Home Building ◽  
Home Construction ◽  
Construction Operation

The framework of a construction industry could be identified by the nature of the work, by material type, contract volume, difficulty, and position of end products. In the planning phase of the construction projects, two fundamental constraints should be taken into account, and they include; quality and cost. To ensure a successful outcome, it is crucial to evaluate both limitations in the project's schedule and implementation. The management, economics, and quality of home construction are rapidly becoming a subject of international study, practical analysis, and execution. The construction of a project involves a broad range of complex operations. While supervising a construction operation, clients' demands and budget should inform of the adequate standard fit for quality. This is because if a project is not adequately managed, construction firms will encounter a substantial economic impact. Consequently, project management is a critical means for developing construction processes and successful completion of the project. This study gave prominence to a conversation about management, economics, and quality of home building construction. This is considering that customers are generally concerned with quality and costs when engaging professionals for procurement. The quality of the project outcome depends on prescription construction details, and the cost is the quality-related financial outcome. This study explains how residential building companies can create external partnerships, obtain direct and indirect support, and deliver optimal project results. It also explains how it is necessary to monitor and manage the quality and efficiency of the project via an enhanced economy control in the home constructions.

BIM Technologies In Building Construction Projects Management In Russia

2019 ◽  
pp. 48-59
Keyword(s):  
Project Management ◽  
Economic Efficiency ◽  
Technology Implementation ◽  
Management System ◽  
Construction Projects ◽  
Technology Development ◽  
Integrated Management ◽  
Building Construction ◽  
Information Modeling ◽  
Project Management System

The international experience of integrating building information modeling (BIM) into project management system with innovation implementation accent has been revealed in this article. The events carried out on federal and regional levels concerning the President of Russia directive on building construction industry modernization and construction objects transferring to life cycle management by means of BIM were analyzed. The large company experience of implementing BIM was summarized with describing some examples in different cities and regions of our country and thus the main directions of this technology development were determined. The key points of BIM and project management system pairing and impacting an innovation choice witch determine the project economic efficiency in the integrated management system were shown. The main reports of "Building construction projects technology and management: new practices and prospects" conference by Moscow Trade and Commerce Chamber were reviewed in this direction and problems of the new investment and construction project management technology implementation were shown. The ways to solve these problems were disclosed by work examples of PAO "Sberbank", and successfully working in our country firms Bilfinger Tebodin - BIM design and Beiten Burkhard -jurisdiction support. Some economic efficiency questions of BIM implementation were disclosed in the report delivered by The Plekhanov University of Economics (project and program management base department of Capital Group). Management system suggestions, regarding BIM implementation in Moscow construction were given.

Selection of mobile cranes for building construction projects

1999 ◽  
Vol 17 (4) ◽  
pp. 519-527 ◽  
Author(s):  
AVIAD SHAPIRA ◽  
CLIFFORD J. SCHEXNAYDER
Keyword(s):  
Construction Projects ◽  
Building Construction ◽  
Selection Of

Productivity monitoring in building construction projects: a systematic review

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wesam Salah Alaloul ◽  
Khalid M. Alzubi ◽  
Ahmad B. Malkawi ◽  
Marsail Al Salaheen ◽  
Muhammad Ali Musarat
Keyword(s):  
Systematic Review ◽  
Construction Projects ◽  
Small Sample ◽  
Machine Learning Algorithms ◽  
Building Construction ◽  
Content Type ◽  
Construction Productivity ◽  
Automated Monitoring ◽  
Monitoring Tools ◽  
Meta Analyses

PurposeThe unique nature of the construction sector makes it fall behind other sectors in terms of productivity. Monitoring construction productivity is crucial for the construction project's success. Current practices for construction productivity monitoring are time-consuming, manned and error prone. Although previous studies have been implemented toward reducing these limitations, a gap still exists in the automated monitoring of construction productivity.Design/methodology/approachThis study aims to investigate and assess the different techniques used for monitoring productivity in building construction projects. Therefore, a mixed review methodology (bibliometric analysis and systematic review) was adopted. All the related publications were collected from different databases, which were further screened to get the most relevant based on the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) criteria.FindingsA detailed review was performed, and it was found that traditional methods, computer vision-based and photogrammetry are the most adopted data acquisition for productivity monitoring of building projects, respectively. Machine learning algorithms (ANN, SVM) and BIM were integrated with monitoring tools and technologies to enhance the automated monitoring performance in construction productivity. Also, it was observed that current studies did not cover all the complex construction job sites and they were applied based on a small sample of construction workers and machines separately.Originality/valueThis review paper contributes to the literature on construction management by providing insight into different productivity monitoring techniques.

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