TEACHING HOW TO USE A REPETITIVE SCHEDULING METHOD WHEN PLANNING A GREEN CONDOMINIUM BUILDING

2019 ◽  
Vol 14 (2) ◽  
pp. 203-217
Author(s):  
Wannawit Taemthong ◽  
Nattasit Chaissard
Keyword(s):  
Construction Projects ◽  
Critical Path ◽  
Management Program ◽  
Construction Planning ◽  
Construction Engineering ◽  
Construction Productivity ◽  
Scheduling Method ◽  
The Right ◽  
Apartment Complexes

This paper aims to present a methodology for use in construction planning named the Repetitive Scheduling Method (RSM). Students on a graduate level construction management program can learn how to create a RSM schedule to be applied to a real project. Typically, the Critical Path Method (CPM) is used to plan general construction projects. This paper presents a case study wherein a CPM diagram is transformed into a RSM schedule for use in the construction of a green condominium. RSM is the most suitable tool for planning repetitive projects like condominium buildings, apartment complexes, or real estate development projects. It utilizes an uninterrupted flow of resource concept in order to eliminate manpower-related resource wastage. As a result, construction productivity can be improved by using the right construction planning tool on the right project. Interested graduate students researching construction engineering can apply RSM on their repetitive projects in the future.

scholarly journals Productivity Metrics and Its Implementations in Construction Projects: A Case Study of Singapore

2021 ◽  
Vol 13 (21) ◽  
pp. 12132
Author(s):  
Ming Shan ◽  
Yu-Shan Li ◽  
Bon-Gang Hwang ◽  
Jia-En Chua
Keyword(s):  
Construction Projects ◽  
Statistical Tests ◽  
Construction Productivity ◽  
Construction Companies ◽  
Four Levels ◽  
Project Company ◽  
Different Levels ◽  
Design Score ◽  
Assessment Results

Although some studies have used or developed different types of metrics to assess construction productivity in the existing literature, few of them investigated those metrics systematically and the differences between assessment results. This study examined the various types of metrics used in the assessment of the productivity of construction projects. First, a literature review was conducted first to identify prevailing productivity metrics at four levels, namely trade, project, company, and industry. Then, the questionnaire was developed and disseminated to 53 Singapore-based construction companies for data collection. Subsequently, non-parametric statistical tests were conducted to analyze the data collected by the questionnaire. Results showed that the top five metrics in terms of usage frequency and relative importance were “constructability score”, “buildable design score”, “square meter of built-up floor area per man-day”, “square meter per dollar”, and “output per worker.” In addition, results showed that differences existed in the assessment results when productivity metrics at different levels were used to conduct the same measurement. This is the first study to explore the most widely used metrics in productivity assessments of construction projects and investigate possible differences in assessment results. This study could help the authorities to review, evaluate, and modify the productivity metrics used in practice. Thus, this study is beneficial to the practice as well.

scholarly journals Climate and construction delays: case study in Chile

2015 ◽  
Vol 22 (6) ◽  
pp. 596-621 ◽  
Author(s):  
Pablo Ballesteros-Pérez ◽  
Maria Luisa del Campo-Hitschfeld ◽  
Manuel Alejandro González-Naranjo ◽  
Mari Carmen González-Cruz
Keyword(s):  
Construction Projects ◽  
Climatic Data ◽  
Weather Variables ◽  
Cost Overruns ◽  
Content Type ◽  
Construction Productivity ◽  
Outdoor Work ◽  
Standard Construction ◽  
Practical Implications

Purpose – Construction projects usually suffer delays, and the causes of these delays and its cost overruns have been widely discussed, the weather being one of the most recurrent. The purpose of this paper is to analyze the influence of climate on standard construction work activities through a case study. Design/methodology/approach – By studying the extent at which some weather variables impede outdoor work from being effectively executed, new maps and tables for planning for delays are presented. In addition, a real case regarding the construction of several bridges in southern Chile is analyzed. Findings – Few studies have thoroughly addressed the influences of major climatic agents on the most common outdoor construction activities. The method detailed here provides a first approximation for construction planners to assess to what extent construction productivity will be influenced by the climate. Research limitations/implications – Although this study was performed in Chile, the simplified method proposed is entirely transferable to any other country, however, other weather or combinations of weather variables could be needed in other environments or countries. Practical implications – The implications will help reducing the negative social, economic and environmental outcomes that usually emerge from project delays. Originality/value – Climatic data were processed using extremely simple calculations to create a series of quantitative maps and tables that would be useful for any construction planner to decide the best moment of the year to start a project and, if possible, where to build it.

scholarly journals Factors Causing Delay in Pile Cap Work (Case Study: Trans Studio Mall Makassar Upgrade Project)

2021 ◽  
Vol 3 (3) ◽  
pp. 28-36
Author(s):  
Sulistiawati Marioga ◽  
Josefine Ernestine Latupeirissa ◽  
Meti
Keyword(s):  
Construction Projects ◽  
Pearson Correlation ◽  
Strong Relationship ◽  
Correlation Factor ◽  
Construction Engineering ◽  
Engineering Construction ◽  
Late Delivery ◽  
Pile Cap ◽  
Pile Caps

Pile cap as an important part used in construction engineering. Construction projects have a completion schedule, and pile caps as part of a construction project must not be delayed. The purpose of this study is to determine the factors that cause delays in Pile cap work. The analysis method to calculate the results of questionnaire distribution is simple correlation analysis. The results of this study indicate that there are seven factors causing delays  Pile cap work on the Trans Studio Mall Makassar upgrade project, namely: (1) Lack of manpower, (2) Late delivery of materials, (3) Rainfall intensity factor, (4) Lack of labor expertise, (5) equipment shortage, (6) equipment damage, (7) the factor of the change of design by the owner. From the results of the calculation of the product moment correlation factor of the lack of labor with the Pearson correlation coefficient value of 0.821 has a very strong relationship.

Case Study of “TIEAMM” Approach to Geohazard Identification, Characterization, and Mitigation

2020 ◽  
Author(s):  
Joshua Nasrallah ◽  
Bailey Theriault ◽  
Andreas Kammereck
Keyword(s):  
Management Program ◽  
Team Approach ◽  
Subject Matter Experts ◽  
Construction Work ◽  
Differential Movement ◽  
Integrity Management ◽  
Mitigation Design ◽  
The Right ◽  
Ongoing Monitoring

Abstract This study presents the implementation of a multidisciplinary team approach to geohazard identification, characterization, assessment, and mitigation \, that includes landslide subject matter experts (SMEs) in geotechnical and hydrotechnical engineering and geology and pipeline stress analysis with the pipeline owner/operator (Owner). This approach provided targeted and programmatic geohazard training, identification, exploration, assessment, mitigation, and monitoring, and hase been coin as the “TIEAMM” approach. The Owner worked with the geohazard SMEs to develop a system-wide geohazard pipeline integrity management program, including a phased geohazard assessment along the right-of-way, office and field-based training for the local operations staff, risk-based design mitigation approaches, on-site construction support, and continued monitoring. The landslide discussed in this study is used as an example to demonstrate the TIEAMM approach; this site was identified by local operations staff, documenting differential movement of approximately 15 feet between November 2018 and February 2019. A more detailed geological exploration and assessment as well as a pipeline strain assessment was completed. The work allowed for mitigation efforts and corresponding costs to be optimized. The mitigation design was flexible to address ongoing monitoring, and then field-fit to address site conditions observed during the construction work. The approach to geohazard management completed for this site provided the data and information needed to make informed decisions to support targeted optimization for the scope and scale of mitigation work, and thereby avoided over-conservative (and thereby overly-costly) mitigation efforts.

scholarly journals Use of the bar chart/S-curve and computerized precedence diagram method on scheduling and controlling building construction projects by contractors: a cross-sectional study

F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 284
Author(s):  
Putri Lynna Adelinna Luthan ◽  
Nathanael Sitanggang ◽  
Abdul Hamid ◽  
Bambang Hadibroto
Keyword(s):  
Construction Projects ◽  
Critical Path ◽  
Cross Sectional Study ◽  
Building Construction ◽  
Project Work ◽  
Cross Sectional ◽  
Diagram Method ◽  
Study Programs ◽  
S Curve ◽  
The Right

Background: Building construction projects have very complex activities, so they require precise and accurate methods of scheduling and control. Using the right method, the project executor can carry out the project according to plan and any schedule deviations can be controlled effectively. This study aims to compare the effectiveness of using the bar chart/S-curve and computerized precedence diagram method (PDM) on scheduling and controlling building construction projects. Methods: The use of the two methods and their effectiveness during project work were analysed using a survey directed to building construction workers. Results: A total of 50 workers completed the survey. The use of PDM (using Microsoft Project) was significantly more effective than the bar chart/S-curve method in scheduling building construction projects (t count 15.516> t table 2.660) and controlling building construction projects (t count 17.233> t table 2.660). In addition, PDM was associated with allowing the project to find the critical path more quickly, overcoming project delays more effectively. Conclusions: By using PDM, a on a building construction project’s schedule for the implementation of the work can be changed immediately, if there is a delay or deviation of work. The findings of this study are useful for construction service companies and the development of construction management science in civil engineering study programs.

scholarly journals Uncertainty Management Associated With Project Scheduling in Mine Construction: A Coal Mining Case Study

2020 ◽  
Author(s):  
Matt Renaud ◽  
Mustafa Kumral
Keyword(s):  
Construction Projects ◽  
Large Scale ◽  
Critical Path ◽  
Optimal Schedule ◽  
Commodity Prices ◽  
Monte Carlo Sampling ◽  
Project Outcomes ◽  
Mining Project ◽  
Mining Projects

Abstract Due to the cyclical nature of commodity prices, the profitability of mining projects relies on proper timing. To ensure optimal profits, mines should be brought online at the time, which maximizes the potential value of the asset. In this paper, a coking coal mine construction case is used to demonstrate the effectiveness of scheduling large-scale construction projects with uncertain durations under price cyclicality. Project parameters are obtained stochastically via Monte Carlo sampling, allowing for the influence of uncertainty to be quantified. The critical path method and linear programming are employed to analyze the results and to optimize the construction process, ensuring the maximum value of the mining project. The parameters are repeatedly sampled to obtain distributions of possible project outcomes, allowing for risk and sensitivity quantification. The optimal schedule for construction was determined to be 247 weeks, with a most likely value of $813 million.

scholarly journals Probability of Winning the Tender When Proposing Using BIM Strategy: A Case Study in Saudi Arabia

Buildings ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 306
Author(s):  
Mahmoud Majzoub ◽  
Ahmed Eweda
Keyword(s):  
Construction Projects ◽  
Selection Process ◽  
Probability Model ◽  
Relative Weight ◽  
Selection Criterion ◽  
Information Modeling ◽  
Winning Probability ◽  
The Right ◽  
The Impact

The procurement process is one of the most important phases in any project life cycle, particularly when it comes to selecting the right contractor for the job. Awarding the contract to the best bid proposal is a critical step to ensure the greatest value. BIM has been recognized as not only a geometric modelling of buildings, but also, it facilitates the different stages in management of construction projects. The purpose of this paper is to study the impact of using Building Information Modeling (BIM) in the tendering process from the contractor’s perspective, based on a probability model able to predict winning probability, regardless of relative weight. The main objective of this research is to measure the likelihood of winning a tender in the case of implementing BIM strategy, compared with contractors who do not use BIM. The research uses a literature review, surveys, and interviews with experts to develop a model that predicts the probability of winning a contract; this is determined by measuring the BIM impact on each selection criterion in a multicriteria selection process using the Analytical Hierarchy Process (AHP) to develop a probability-based model. The results of the survey and the interview show that BIM strategy has a variant influence on the score the contractor could have on each of them raising the probability of winning the tender. The main result of this paper is the property-based model, which is able to predict BIM winning probability regardless of relative weight, which can be applied in any country. Nonetheless, the Saudi case study shows that utilizing BIM when proposing could increase the winning probability by up to 9.42% in the case of Quality-Based Selection (QBS), and to 5.5% in the case of Cost-Based Selection (CBS).

The Calculation of Turbulent Diffusion Coefficients in Aquatic Ecosystems

2019 ◽  
Vol 70 (11) ◽  
pp. 3903-3907
Author(s):  
Galina Marusic ◽  
Valeriu Panaitescu
Keyword(s):  
Transport Equation ◽  
Turbulent Diffusion ◽  
Diffusion Coefficients ◽  
Aquatic Ecosystems ◽  
Specific Area ◽  
Left Bank ◽  
The Right ◽  
Prut River

The paper deals with the issues related to the pollution of aquatic ecosystems. The influence of turbulence on the transport and dispersion of pollutants in the mentioned systems, as well as the calculation of the turbulent diffusion coefficients are studied. A case study on the determination of turbulent diffusion coefficients for some sectors of the Prut River is presented. A new method is proposed for the determination of the turbulent diffusion coefficients in the pollutant transport equation for specific sectors of a river, according to the associated number of P�clet, calculated for each specific area: the left bank, the right bank and the middle of the river.

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