scholarly journals Analysis of Labor Productivity of Brick Masonry Work in Building Construction in Kathmandu Valley

2021 ◽  
Vol 6 ◽  
pp. 159-175
Author(s):  
Nirmal Lawaju ◽  
Nabin Parajuli ◽  
Santosh Kumar Shrestha
Keyword(s):  
Production Rate ◽  
Labor Productivity ◽  
Construction Projects ◽  
Model Development ◽  
Construction Project ◽  
Brick Masonry ◽  
Building Construction ◽  
Ann Model ◽  
Cost Component ◽  
Data Set

Construction labor productivity is the most determinant of success of any construction project. Labor is considered as more variable and unpredictable cost component for the successful accomplishment of construction projects. The main aim of this research is to develop an artificial neural network (ANN) model to predict the production rate for brick masonry work by assessing the various factor affecting labor productivity. Out of forty-four factors selected from a literature review, the top thirteen factors were selected for model development after the questionnaire survey and ranking them based on Relative Importance Index (RII). The model was developed in Neurosolution version 7.1.1.1 using the various input data set collected from active construction site of brick masonry. 65% of data set were used for training, 20 % of data set were used for cross-validation and remaining 15 % of data set were used for testing. The error between actual productivity and estimated productivity was computed using Mean Square Error (MSE) which was 0.019 which verified that the estimated production rate was within an acceptable range. After the successful testing of model, a sensitivity analysis was performed to analyze the order of most influencing factors affecting labor productivity. The developed ANN model can be used for estimating the labor productivity of brick masonry work for any building construction project by incorporating the influence of selected parameters or factors.

scholarly journals Application of Boosting Regression Trees to Preliminary Cost Estimation in Building Construction Projects

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Yoonseok Shin
Keyword(s):  
Cost Estimation ◽  
Construction Projects ◽  
High Performance ◽  
Learning Algorithm ◽  
Early Stage ◽  
Construction Project ◽  
Regression Tree ◽  
Building Construction ◽  
Regression Problem ◽  
Additional Information

Among the recent data mining techniques available, the boosting approach has attracted a great deal of attention because of its effective learning algorithm and strong boundaries in terms of its generalization performance. However, the boosting approach has yet to be used in regression problems within the construction domain, including cost estimations, but has been actively utilized in other domains. Therefore, a boosting regression tree (BRT) is applied to cost estimations at the early stage of a construction project to examine the applicability of the boosting approach to a regression problem within the construction domain. To evaluate the performance of the BRT model, its performance was compared with that of a neural network (NN) model, which has been proven to have a high performance in cost estimation domains. The BRT model has shown results similar to those of NN model using 234 actual cost datasets of a building construction project. In addition, the BRT model can provide additional information such as the importance plot and structure model, which can support estimators in comprehending the decision making process. Consequently, the boosting approach has potential applicability in preliminary cost estimations in a building construction project.

Factors that trigger bullying amongst subcontractors toward intention to quit in the construction projects

2019 ◽  
Vol 10 (1) ◽  
pp. 140-152
Author(s):  
Alireza Jalali ◽  
Nur Izzati Hidzir ◽  
Mastura Jaafar ◽  
Norziani Dahalan
Keyword(s):  
Construction Projects ◽  
Workplace Bullying ◽  
Construction Project ◽  
Partial Least Square ◽  
Least Square ◽  
Intention To Quit ◽  
Equation Modeling ◽  
Key Factors ◽  
Data Set ◽  
Content Type

Purpose The purpose of this paper is to examine the relationships between three key factors that cause workplace bullying among subcontractor managers toward intention to quit the undertaken project within the context of Malaysia. Design/methodology/approach This study utilized the simple sampling method to select its study sample, while the questionnaire survey approach was implemented amidst 500 G6 and G7 contractor managers across Peninsular Malaysia. A total of 210 completed questionnaires were returned. Partial least square-structural equation modeling was administered to analyze the data via SmartPls 3.0 software. Findings This study discovered three significant factors (main contractor leadership, construction culture, work organization and job design) that displayed positive effect on workplace bullying among subcontractor managers toward intention to quit. The study outcomes can serve as a direction for policy makers to reduce bullying within the construction project environment. Practical implications This study serves as an instruction for main contractors to reinvent their style of management in overcoming bullying in construction projects. This paper guides that collaborative relationship among various parties in construction projects, including the representatives of main contractors and subcontractor managers, may assist in addressing the hostile environment of construction project, in order to create a constructive relationship between them that leads to overall project success. Originality/value Recognition of the three key factors that lead to workplace bullying among subcontractor managers in the construction industry, which are bound to enhance intention to quit based on the data set with strong statistical results, has made the research original.

scholarly journals Modeling Baseline Energy Using Artificial Neural Network – A Small Dataset Approach

2018 ◽  
Vol 12 (2) ◽  
pp. 662
Author(s):  
Wan Nazirah Wan Md Adnan ◽  
Nofri Yenita Dahlan ◽  
Ismail Musirin
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Cross Validation ◽  
Model Development ◽  
Energy Model ◽  
Ann Model ◽  
Data Set ◽  
Validation Technique ◽  
Artificial Neural ◽  
Small Dataset

In this work, baseline energy model development using Artificial Neural Network (ANN) with resampling techniques; Cross Validation (CV) and Bootstrap (BS) are presented. Resampling techniques are used to examine the ability of the ANN model to deal with a small dataset. Working days, class days and Cooling Degree Days (CDD) are used as ANN input meanwhile the ANN output is monthly electricity consumption. The coefficient of correlation (R) is used as performance function to evaluate the model accuracy. For this analysis, R is calculated for the entire data set (R_all) and separately for training set (R_train), validation set (R_valid) dan testing set (R_test). The closer R to 1, the higher similarities between targeted and predicted output. The total of two different models with several number of neurons are developed and compared. It can be concluded that all models are capable to train the network. Artificial Neural Network with Bootstrap Cross Validation technique (ANN-BSCV) outperforms Artificial Neural Network with Cross Validation technique (ANN-CV).  The 3-6-1 ANN-BSCV, with R_train = 0.95668, R_valid = 0.97553, R_test = 0.85726 and R_all = 0.94079 is selected as the baseline energy model to predict energy consumption for Option C IPMVP.

scholarly journals KARAKTERISTIK MANAJER PROYEK TERHADAP KINERJA KONSTRUKSI GEDUNG DI KABUPATEN BADUNG

2016 ◽  
Vol 4 (2) ◽  
Author(s):  
I Putu Widyarsana ◽  
N. Martha Jaya ◽  
Gd. Astawa Diputra
Keyword(s):  
Regression Analysis ◽  
Construction Projects ◽  
Linear Regression Analysis ◽  
Construction Project ◽  
Multiple Linear Regression Analysis ◽  
Project Manager ◽  
Building Construction ◽  
Project Implementation ◽  
Conceptual Skills

Abstract Badung regency in Bali, where the tourism industry is growing very rapidly. Building continues to grow, such as hotels, villas, resorts, hospitals, and so forth. Implementation of building construction projects in Badung not be separated from the issue of costs, quality of execution and completion time of the project. These problems arise due to lack of skills / competencies project manager of the responsibility to integrate and coordinate all available resources for the achievement of project objectives. In this case the role of Project Manager will determine the success of a project. So, there should be a study of the basic capabilities that must be owned by the Project Manager, among others: Conceptual Skills, Technical Skill, and Soft Skills. Data collection is done by the method of observation and surveys. Factor analysis was conducted to identify factors / characteristics Project Manager that affect the quality of the construction project implementation performance. Multiple linear regression analysis determined the relationship of the performance characteristics of the project manager building construction projects in Badung. Factor analysis resulted in the identification of 22 variables that affect the quality of the building construction project implementation performance. Multiple linear regression analysis determines the characteristics of the Project Manager greatest influence on the quality of the building construction project implementation performance is Social Skills aspect of 33.08% compared to the other two aspects, namely the conceptual skills (32.10%) and Technical (9.40%) . The total value of the influence of the three aspects of the characteristics of the project manager of 74.58% means that there are still approximately 25.42% influenced by other factors, such as the state of nature, the environmental situation, location, and so on, the implementation of building construction projects in Badung.

Research of Construction Process Quality Control in Building Engineering

2013 ◽  
Vol 438-439 ◽  
pp. 1637-1640
Author(s):  
Dong Ming Xu ◽  
Kai Wen Yang ◽  
Yi Jun Shi
Keyword(s):  
Quality Control ◽  
Construction Projects ◽  
Construction Project ◽  
Process Quality ◽  
Building Construction ◽  
Construction Process ◽  
Schedule Control ◽  
Control Cost ◽  
Factors Affecting ◽  
Building Engineering

By analyzing the points of construction process quality control in the building construction project and the relationship among quality control, cost control and schedule control, the main factors affecting the construction process quality control in the building construction project are given out, and a practical system is established. This system includes pre-construction quality planning, quality control, drawings reviewing technical tests, building products quality control, responsibility for quality and other aspects. The practical application of this system in some building construction projects proved its effectiveness in the project quality control.

scholarly journals STUDY ON RISK MANAGEMENT PRACTICES ON PUBLIC BUILDING CONSTRUCTION PROJECT: IN CASE OF EASTERN WOLLEGA ZONE

2021 ◽  
Vol 6 (3) ◽  
Author(s):  
Zelalem Mebrate Ejeta ◽  
Zelalem M ◽  
Vignesh Kumar M ◽  
Getnet Tadesse ◽  
Biftu Jaleta
Keyword(s):  
Risk Management ◽  
Construction Projects ◽  
Management Practices ◽  
Management Practice ◽  
Construction Project ◽  
Research Work ◽  
Building Construction ◽  
Market Condition ◽  
Public Building ◽  
Project Objectives

The Construction Industry is embedded with risky situations that affect construction projects and therefore requires systematic processing to achieve project objectives and ensure business sustainability (5). This research work was tries to study the risk management practice on public building construction projects and aims to identify the level that use of risk management practice especially in the public building. The data collection method was a combination of interview and questionnaire. Samples were purposively selected from clients, consultants, and contractors representatives who are now actively participating in public building construction projects. For this study, the data was collected using both primary and secondary sources. Depending on the data that was gathered from the respondent to test the level of awareness, identifying the Risk that affect the performance of public building construction project and major risk management practice on public building construction project are considered and the RII was used to rank the factors. This data was analyzed using SPSS of version 22 to perform descriptive statistics. A total of 75 questionnaires were targeted to be distributed and out of those 50 which is 66.67% are successfully responded. The finding from this study revealed that, about (52%) of the project progress is lagging from the schedule. Regarding the awareness of the risk management, (94%) of the respondents where confirmed that they have awareness of risk management ideologies and they are confident enough to implement their knowledge while, (6%) of them have no concept about the risk management. The top five risks that affect the performance of construction project have been identified and ranked. Accordingly; market condition, unexpected inflation, local taxes, inadequate production of raw materials, and the economic condition of country are the top five identified associated project risks.

scholarly journals FAKTOR-FAKTOR PENERAPAN KESELAMATAN DAN KESEHATAN KERJA YANG MEMPENGARUHI KINERJA PROYEK KONSTRUKSI GEDUNG DI PROVINSI ACEH

2018 ◽  
Vol 1 (4) ◽  
pp. 130-137
Author(s):  
Bunial Bunial ◽  
Muttaqin Muttaqin ◽  
Anita Rauzana
Keyword(s):  
Construction Projects ◽  
Construction Project ◽  
Test Validity ◽  
Sampling Technique ◽  
Building Construction ◽  
Project Work ◽  
Validity And Reliability ◽  
Protection Factor ◽  
Spearman Coefficient ◽  
Aceh Province

PT. Jamsostek stated that in 2012 everyday there are 9 workers who died due to accidents, while total work accident in the same year recorded 103,000 cases. Accidents to these workers will certainly make the productivity of project work decreased, as well as will impact on the poor performance of the project. This study aims to identify the dominant OSH factors applied in the implementation of building construction projects in Aceh Province, and to analyze the relationship and influence between the factors of OSH implementation on the performance of building construction projects in Aceh Province. This study uses qualitative methods through interviews and quantitative through the distribution of questionnaires. The number of research samples obtained by 68 contractor companies. The sampling technique used is purposive sampling. Data processing methods consist of test validity, and reliability, while data analysis consists of descriptive analysis, simple correlation and multiple linear regression. The results showed that the dominant K3 factor applied in the implementation of the building construction project in Aceh Province was a public protection factor with a mean of 4.632. The safety and work competence factors have a good relationship with Spearman coefficient of 0.451 and 0.429, the factors of equipment and work clothes, vehicle lanes, and equipment and machinery have a low correlation with Spearman coefficient of 0.328, 0.386, and 0.243, while fire, and sound, public protection, general, occupational health, and seriousness of the company have a very low relation with Spearman coefficient of 0.077, 0.130, 0.066, 0.107, 0.121, and 0.169 to the performance of building construction projects in Aceh Province. The influence of OSH implementation factors on the performance of building construction project in Aceh Province, which has significant effect is safety factor, equipment and work clothes, vehicle path, equipment and machinery, public protection, general, seriousness of company, and worker competence with tcount ttable and significance value 0.05.

scholarly journals Study of the skills of construction labours in building construction projects in Padang City

2019 ◽  
Vol 276 ◽  
pp. 02013
Author(s):  
Benny Hidayat ◽  
Lilis Novitasari ◽  
Taufika Ophiyandri
Keyword(s):  
Construction Projects ◽  
Construction Project ◽  
Building Construction ◽  
National Statistics ◽  
Workforce Skills ◽  
Observation Method

Labor is one of the most important elements of a construction projects. This is attributed to their role as technical workforce that involved in the construction projects from the start to the end of the projects. Therefore, the projects require a workforce with good competence. Competence of direct labor can be verified with certification. However, from National Statistics Beaureu (BPS) data indicates that less than 10% of direct labor has certification. This study aims to measure the level of competence of direct workforce skills and know the factors that cause the workforce does not have a skill certificate. This research uses an observation method and interviews with labor in the construction project. Validation of data is done by the triangulation technique. The results showed that the competence of labour in Padang City included in the good category. Factors impeding direct labor to certification are certification is not important in a construction project, and there is no requirement for a workforce to be certified.

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