Building Construction Projects Research Articles

Cost Budget Analysis for Equal Distribution of Labour for Multi-Storey Buildings Construction

Although all resources on a construction project have their respective roles, the availability of labour significantly impacts how far the project moves forward and is completed. According to Kastor and Sirakoulis (2009), calculating the number of workers according to the construction schedule is crucial because, without this consideration, the resulting schedule may not be effective and efficient. process used for construction project resources to reduce fluctuations (Waluyo & Aditama, 2017). This research compares labour allocation, duration, and labour wage cost budgets under several conditions. These conditions include actual project conditions, planning, and results after levelling using an auto schedule. In project planning, the fluctuations obtained are pretty sharp. After the auto schedule levelling, the manpower no longer experienced overallocation, but fluctuations between weeks were still relatively high. This can happen because the quantity of work and labour in the construction projects under review is not comparable to the effects of project delays. The results obtained from the comparisons analyzed on the X-storey building construction project are that the auto schedule does not change the initial planning duration, which remains at 133 days. There was a disparity of 0.02% in auto schedule planning costs from 1,098,345,000.00. Meanwhile, in actual conditions, the labour cost budget increased by 0.12% from IDR 967,880,000.00 after the auto-schedule levelling process. It can be concluded that before resource levelling is carried out, it is necessary to review project scheduling and accelerate the duration of implementation, specifically if construction projects experience delays and other factors, so as not to cause fluctuations caused by the uneven quantity of work over some time.

Mitigating the effects of delay risk in building construction projects in Ghana

Mitigating the effects of delay risk in building construction projects in Ghana

Cost Overrun and Delays in Construction Management by Using Primavera

Abstract: Project management is the practice of organizing, planning, carrying out, overseeing, and wrapping up a team's work in order to accomplish particular objectives and satisfy particular success criteria within a given time frame. Each project is unique, and managing it is necessary to meet the project's need for increased productivity. Notwithstanding the centuries-long evolution of the construction industry and the decades-long quest for novel solutions by researchers, a variety of obstacles still need to be overcome in order to improve the speed, safety, affordability, and accuracy of the construction process. Utilizing a program called Prima Vera p6, which is a tool for project planning and progress tracking, the study focuses on an ongoing residential building construction project (G+5) . This project is a G+5 storey residential building with a rectangular shape RCC framed construction with a total size of 1391 Sq. Mtr. And the floor height is 3m. We used Primavera to calculate project quantities, schedule, and estimate the project. We created a Gantt chart and a network diagram for this project and completed it in a timely and cost-effective manner. It gathers all relevant data from the relevant agencies and closely monitors the work processes. Through our work on it, we have learned a great deal about the challenges that businesses encounter on a daily basis. Though every project is unique, as I've already shown, we may learn from our mistakes and prevent them in future endeavors. Using Primavera P6, a project management tool, a comparison of the original and actual time and cost is conducted in this study. The project monitoring process itself might not be completed effectively even with well-established planning and policies.

Assesment of Quality Management Practice on High-Rise Building, the Case of Banking and Insurance Companies in Addis Ababa

This research focuses on the assessment of quality management practices within the context of constructing high-rise buildings, with a particular emphasis on buildings designated as headquarters for banking and insurance companies in Addis Ababa. The objective of this study is to gain a comprehensive understanding of the various factors that contribute to the successful execution of complex construction projects in this domain. Employing a hybrid research approach that combines both qualitative and quantitative methods, the investigation explores a range of aspects related to quality assurance, monitoring, evaluation, and regulatory oversight. The study explores the impact of inadequate quality management on the overall quality, structural integrity, and safety of high-rise buildings. It also identifies barriers and challenges in implementing quality management practices, as well as performance indicators and metrics for assessing the effectiveness of quality control measures. Additionally, the research delves into monitoring construction activities for compliance with quality control measures and ensuring quality standards for materials used in high-rise construction. Furthermore, it discusses quality benchmarks, standards, and the monitoring and evaluation of quality assurance measures implementation within organizations, including policies and procedures specific to high-rise building projects. Through interviews with various stakeholders, this study aims to provide valuable insights into enhancing the quality management processes in high-rise construction projects, ultimately contributing to the advancement of building safety and integrity in urban environments. Building upon these insights, the research concludes by presenting a series of strategic recommendations designed to enhance quality management practices in high-rise building construction projects. These recommendations span multiple dimensions, including strengthening regulatory oversight, implementing integrated quality assurance policies, establishing comprehensive monitoring and evaluation frameworks, defining quality benchmarks and performance metrics, ensuring robust materials quality control.

Unveiling Construction Quality Factors: Insights from Asian Economy's Building Projects

Economic growth of any country depends on the construction projects and industry in the region. Therefore, the construction industry in Pakistan is directly related to quality and continual improvements in construction projects. Quality is a sensitive and high-priority issue in global construction including in Pakistan. The prime objective of this research study was to investigate major factors influencing the quality of building construction projects in Pakistan. The intended of this research study was to provide guidelines and information to all stakeholders such as owners, project consultants, and project contractors during the construction site of projects so that they are completed on time and with quality. The descriptive survey method was utilized with both qualitative and quantitative approaches. Qualitative approach was used to collect data through project documents and in-depth interviews. N-Vivo software were used at the preliminary stage for the analysis of qualitative data to identify these factors and the linked sub-factors. Analysis of this qualitative data identified 32 factors that influence building construction projects. Questionnaire design was based on qualitative data analysis. The quantitative approach was used to collect data from building construction projects in Pakistan through via questionnaires. The 150 questionnaires links were sent to Pakistan building construction companies in Google form, and 120 respondents filled out the questionnaire. In this way, the response rate is 80%, enough to get accurate results. The SPSS software was used for analysis of collective data. The important quality factors were resulted from a stepwise RFI, RSI, IRII on the quality factors resulted from the factor analysis approach. The correlation coefficient was used to find the relationship between consultants and contractors with the owner. On the basis of analysis, it is concluded that the most significant factors influencing the quality of a building construction project were identified. the Findings of this study were:  the skill and interest of labor during construction are a significant impact on the quality in Pakistan, escalation of material prices had influenced the quality of construction projects, making decisions based on price rather than the value of work, Lack of implementation of quality standards of work has greatly influenced the quality of construction industry projects, lack of comprehensive and accurate bill of quantities (BOQ), excessive design changes during construction and shortage of resource materials. In Pakistan, all the stakeholders should consider and take action for these influencing quality factors before starting construction projects.

Analysis of Impact of GST and RERA on Residential Building Construction Projects in Pune Region

Analysis of Impact of GST and RERA on Residential Building Construction Projects in Pune Region

Assessment of Compliance and Welfare of Construction Workers at Selected Building Construction Project in Kathmandu: Implications for Labor Act Implementation

This study assesses compliance and welfare among construction workers at selected building construction projects in Kathmandu, examining implications for Labor Act implementation. Utilizing literature review and questionnaire surveys, data from 228 workers, with 99 in the sample, were analyzed. The questionnaire surveyed 31 special Labor Act provisions, employing dichotomous questions. Results show high worker awareness of rights under the Labor Act, notably regarding employer duties, non-discrimination, working hours, overtime, and safety. However, gaps exist in awareness regarding remuneration, transportation, and timely wage payment. Mann-Whitney U tests comparing male and female respondents revealed no statistically significant differences in scores, suggesting gender neutrality in compliance perceptions. Challenges in labor law enforcement, including insufficient mechanisms, resource constraints, and monitoring gaps, were identified. Recommendations include strengthening enforcement, enhancing awareness, capacity-building, and stakeholder collaboration. Continuous monitoring and evaluation are emphasized to ensure construction worker welfare in Kathmandu.

Dynamic assessment of the abatement effects of the low-carbon practices in the prefabricated building supply chain

PurposePrefabricated buildings (PBs) have proven to effectively mitigate carbon emissions in the construction industry. Existing studies have analyzed the environmental performance of PBs considering the shift in construction methods, ignoring the emissions abatement effects of the low-carbon practices adopted by participants in the prefabricated building supply chain (PBSC). Thus, it is challenging to exploit the environmental advantages of PBs. To further reveal the carbon reduction potential of PBs and assist participants in making low-carbon practice strategy decisions, this paper constructs a system dynamics (SD) model to explore the performance of PBSC in low-carbon practices.Design/methodology/approachThis study adopts the SD approach to integrate the complex dynamic relationship between variables and explicitly considers the environmental and economic impacts of PBSC to explore the carbon emission reduction effects of low-carbon practices by enterprises under environmental policies from the supply chain perspective.FindingsResults show that with the advance of prefabrication level, the carbon emissions from production and transportation processes increase, and the total carbon emissions of PBSC show an upward trend. Low-carbon practices of rational transportation route planning and carbon-reduction energy investment can effectively reduce carbon emissions with negative economic impacts on transportation enterprises. The application of sustainable materials in low-carbon practices is both economically and environmentally friendly. In addition, carbon tax does not always promote the implementation of low-carbon practices, and the improvement of enterprises' environmental awareness can further strengthen the effect of low-carbon practices.Originality/valueThis study dynamically assesses the carbon reduction effects of low-carbon practices in PBSC, informing the low-carbon decision-making of participants in building construction projects and guiding the government to formulate environmental policies.

Occupational safety & health risk analysis in formwork in high-rise building projects

The implementation of Occupational Health and Safety Management systems remains a significant concern, particularly in the context of multi-storey building construction projects. Within the realm of these complex endeavors, the management of work-related accidents during formwork operations is of paramount importance. This research employs a rigorous methodology involving questionnaire distribution and interviews, complemented by advanced analytical tools such as the Frequency Adjusted Importance Index (FAII) and Bow Tie Analysis. The study focuses on the Indonesian Development University’s high-rise building project, systematically assessing potential hazards associated with formwork activities. Furthermore, this research evaluates the inherent risk levels and proposes comprehensive control measures to mitigate these hazards effectively. By shedding light on the intricate interplay between safety management and high-rise construction, this study contributes to the enhancement of occupational safety and health practices in the construction industry, ultimately promoting safer and more efficient work environments.

Manajemen Waktu Pada Pekerjaan Arsitektur Proyek Pembangunan Gedung Yayasan Pelita Ilmu Insani

The success or failure of a project can be influenced by the lack of planning of project activities, and the supervision carried out is ineffective and has an impact on the project running inefficiently. Then, it will result in delays and a decrease in the quality of work and have an impact on swelling the project budget. Project management is needed in order to manage projects starting from implementation to the end of a project. This research uses a case study on the Pelita Ilmu Foundation Building Construction Project, especially architectural work. This building is located on Jl. Rawa Kuda, Kp. Rawa Kuda RT/RW 004/002 Karangharum, Kedungwaringin District, Bekasi Regency, West Java 17540 [1]. The S curve is used to find out how long a project takes to complete. The aim of this research is to determine time efficiency in terms of the S Curve graph. The results of time management analysis using the S Curve on the graph showed that the realization of time delays was not in accordance with the plan.

Unisma Sports Center Building Project Control Analysis Using the Critical Path Method (CPM)

The purpose of this research is to determine the scheduling activities for the construction of the Sport Center Building at the Islamic University of Malang, to determine and analyze the control of building construction projects managed by the Islamic University of Malang using the CPM (Critical Path Method) method. This research uses the research method used in this research, namely the descriptive method. The data collection techniques used were observation, interviews, and library research. After obtaining information through interviews, data analysis was carried out using the CPM (Critical Path Method) method. The researcher has completed the research and from this analysis, the researcher found that the construction work carried out by the Islamic University of Malang required 180 days of work using the CPM (Critical Path Method) method, so the optimal duration of the project can be accelerated to 33 days so that the initial project duration is 196 days. working days to 163 days with an efficiency of 16,837%

Conflict Handling Styles used by Design Team Leaders During Post Contract Stage of Building Construction Projects in Sri Lanka

In comparison to other industries, construction sector encompasses a distinct, complex, and a competitive environment. It enriches the community with improvements when individuals with diverse perspectives, abilities, and degrees of construction expertise collaborate with each other. In this highly competitive multiparty context, conflicts have been labeled as one of the key constraints that prevent the `success of construction projects. Conflict is a fact that everyone must deal with on a regular basis. Construction projects are therefore not an exception. It entails different types of conflicts. To handle these different types of conflicts, construction professionals use different conflict handling styles. Therefore, the aim of this study is to investigate design team leaders’ preference of conflict handling styles and its impact on team spirit of the members of the design team during the post contract stage of building construction projects in Sri Lanka. To collect data, an e-based, closed-ended questionnaire was used incorporating the conflict handling styles introduced in Rahim's Dual Concern theory. The questionnaire was answered by 56 professionals who have the experience of working in the design team during the post contract stage. The study was limited to the building construction projects in Sri Lanka. To analyze the gathered data, descriptive statistics such as mean, percentage, count correlation co-efficient etc. were used. The study has revealed that during the post contract stage, the design team leaders use all five conflict handling styles of Rahim’s Dual concern theory: integrating style, obliging style, dominating style, avoiding style, and compromising style in different frequencies to handle conflicts among design team professionals. The design team professionals often use compromising style and rarely use integrating style, obliging style, dominating style, and avoiding style to handle conflicts among the design team professionals during the post contract stage respectively. Furthermore, the study indicates that these styles bring different levels of impact to the team spirit of design team professionals during the post contract stage of building construction projects in Sri Lanka. The team spirit of design team members is shown to be strongly affected by the compromising style. In contrast, the other four conflict handling styles, integrating style, obligating style, dominating style, and avoiding style, were identified to moderately impact team spirit. Moreover, findings revealed that all these five conflicts handling styles show a strong relationship with the team spirit of design team members during the post-contract stage of building construction projects in Sri Lanka. The research findings may assist construction industry design team leaders and other stakeholders to manage conflicts in a more efficient way and provide an insight to the way to handle conflicts to improve the team spirit of the design team during the post-contract stage of building construction projects in Sri Lanka. KEYWORDS: Conflicts, Conflict Handling Styles, Building Projects, Design team, Construction industry, Post contract stage.

Scheduling Analysis with Monte Carlo Simulation and Statistic Method on a Building Construction Project

In the construction of an office building in Indonesia, a delay occurred in the first-floor concrete work. The project was planned to be completed in 161 days but it took 168 days to complete. This study analyzed the issues that arose by doing a scheduling analysis and by comparing the Monte Carlo Simulation and the Statistic method. A comparison between these methods was carried out to determine the project duration scheduling probability level from each method. The data included in the study were the project’s Time Schedule and the interview data from respondents who were directly related to the office building construction project. Monte Carlo Simulation analysis showed that to get a 100% probability level, the duration can only be accelerated by two days, from 168 days to 166 days, while the Statistical method analysis showed that to get a 99.99% probability level the duration can only be accelerated by 4,2 days, from 168 days to 163.8 days. From the results above, it can be concluded that the Monte Carlo Simulation has a more accurate calculation than the Statistic Method because the result from the Monte Carlo Simulation was 166 days with a 100% probability level. It is close to the project realization duration which was 168 days.
 Keywords: construction delay analysis, monte carlo simulation, statistic method comparison

Multi-Objective Optimization of Tasks Scheduling Problem for Overlapping Multiple Tower Cranes

The scheduling of tower crane operations is a complex process. Overlapping areas between tower cranes often lead to increased collision possibilities, resulting in additional tower crane operation complexity. Single objectives related to time or economic aspects were always considered in dealing with this issue, which neglected other objectives and the relationships between different objectives. Therefore, this article proposes a novel method for the schedule of prefabricated component lifting tasks on the construction site, integrating the multi-objective optimization model with the decision-making method with the aim of minimizing energy consumption costs and minimizing the amplitude of the costs among multiple tower cranes. A non-dominated sorting genetic algorithm-III (NSGA-III) written in Python is used as the multi-objective optimization algorithm—which considers the selection of tasks for each tower crane and the order of lifting for each tower crane and technique for order preference by similarity to an ideal solution (TOPSIS), and is applied as the decision-making method for ranking the Pareto front. Then, a green construction production and education integration training building construction project located in Jinan, China is used as the case study to verify that the method is practical and reasonable. The results show that conflicts can be effectively avoided, energy consumption costs reduced, and equipment utilization increased by rationally distributing lifting tasks among multiple overlapping tower cranes. And among the top 11 solutions, the lifting tasks and priorities for tower crane 1 are close to the same. In contrast, the task lifting for tower crane 2 was assigned based on the balance of the energy consumption costs of the two tower cranes. The discovery of this article is helpful to eliminate collisions, interference, and frequent start and stop of several tower cranes, so as to realize the safe, stable, and efficient operation of the construction site.

Investigation on the Nature of Safety Rule Violations in High-Rise Construction Projects

The construction sector has consistently demonstrated a greater risk of fatal and non-fatal occupational accidents than other economic sectors, particularly with respect to high-rise building construction projects. Despite searing progress in the regulatory domain, and progressive formulation of new safety agenda for the industry, the truth is safety incidences involving fatalities and injuries still perpetuate with varying degrees of intensity. This is further aggravated by the loss of vital project resources of materials, equipment, and labours, which is counter-productive, unsustainable, and occasionally polluting. What is abundantly clear is that human factor when dealing with safety intricacies and observation still plays a considerable role in determining key safety objective accomplishment. With that in mind, it was the aims of this study to delve deeper into this issue among practitioners at the forefront of the high-rise building construction works in Malaysia. Specifically, it investigates, analyses, and ranks the degree of severity of the safety rule violation repercussion, the frequency, and perpetrators. A questionnaire survey approach was devised and distributed to respondents from among the developers, consultants, contractors, and relevant authorities. The data collected were analysed using SPSS package by determining the average index, standard deviation, variance, and frequency analysis. The results have shown that the lack of fire protection was perceived to lead to the most severe repercussion, while the lack of risky, near-miss, accident reporting, and the lack of Logout or Tagout (LOTO) procedures during servicing and maintenance activities were the most frequent safety rule violations. In addition, the contractor party was the most regular offender of the safety regulations, understandably by virtue of numbers. In conclusion, these outcomes could facilitate safety authorities and professionals in devising pragmatic schemes that best utilize both the persuasive and punitive mitigation measures for better safety outcomes.

Exploring fuzzy AHP approaches for quality management control practices in public building construction projects

Exploring fuzzy AHP approaches for quality management control practices in public building construction projects

RISK LIST IDENTIFICATION ENCOMPASSING TACIT KNOWLEDGE FOR VIRTUAL REALITY IN BUILDING PROJECTS IN JAKARTA

A high-rise building project can be considered as a high-risk project because the work items are quite a lot and high in the structure being built, the occupational health and safety (OHS) of construction plays an important role in the smooth implementation of a construction project. Construction OHS conducts safety briefing to all construction workers when they enter the construction project environment and every morning before the construction begins. Two information systems are used to inform the workers about the conditions and hazards in the construction projects, namely tacit knowledge and explicit knowledge. Therefore, safety induction is less effective and hinders the implementation of construction project work, where construction workers do not know situations that occur when carrying out a job socialized by OHS officers. In this problem, a simulation must be carried out before workers do their work, to carry out this simulation can be done with virtual reality technology. The research was conducted by distributing questionnaires to the OHS staff of construction projects in Jakarta while the data from the questionnaires were calculated. This study aims to find out a list of risks that are still relevant including tacit knowledge and obtained 11 work risks including tacit knowledge from 38 work risks for building construction projects in Jakarta. Keywords: Construction, OHS, Risk, Knowledge management, Virtual reality.

A Proposed Model for Variation Order Management in Construction Projects

This study aims to identify the causes of excessive change orders and their impact on public construction projects in Saudi Arabia. This should support the organizations working in the construction industry to improve variation order management (VOM) as a preventive action by dealing proactively with variation order causes. Therefore, a new methodology was proposed to minimize change orders and their impact on the successful completion of projects as well as cost during the project lifecycle. The methodology involved ten selected turnkey building projects at King Faisal University (KFU) campus, Saudi Arabia. Statistical analyses were conducted to predict the cost overrun in project size and contract value. The findings showed the most significant causes leading to variation order in public construction projects. These include the combined effect of the designer and owner technical committee, designer document, and owner stakeholder committee. Hence, a new model for VOM was developed as a best practice approach, including three stages. The first stage is the initiation process, which includes seven procedures, seven tools, and key responsibilities. The second stage deals with the course of change orders based on a certain number of procedures and weight for each parameter assigned to this phase. It supports decision processes based on a certain average ratio of weights calculation. The third stage is the decision to support decision makers in proceeding or not proceeding with the variation order. Although the present study was conducted in Saudi Arabia’s public building construction project, it is envisaged that these research results are widely applicable to other developing countries. The paper presents a direction for further research to enhance the impact of cost overrun in public sector construction projects in developing countries, i.e., Saudi Arabia.

Optimizing building material selection: A machine learning approach for efficient concrete compressive strength forecasting

Price changes in construction materials have a significant impact on building construction projects. Such price variations occur at random and at varying rates over time. A system that can estimate the magnitude and quantity of the change in material prices with reasonable accuracy is required. The primary goal is to create a machine-learning model that can predict the type of building material chosen based on environmental factors. The compressive strength of concrete is critical in defining its mechanical qualities. Long laboratory testing is needed to determine the compressive strength of concrete. The capacity of powerful machine learning algorithms to forecast concrete compressive strength speeds up these lengthy experimental methods while also lowering expenses. This study provides abilities to precisely anticipate and categorize numerous qualities and traits of distinct materials. The framework includes a broad dataset that details materials, composition, and performance characteristics. Machine learning algorithms such as logistic regression (LR), decision trees (DT), and random forests (RF) train models on the training data. The models are hyper-parameter tweaked and feature developed to achieve the most outstanding performance. The k-fold method is used throughout the training and assessment phase to guarantee robustness and reduce bias. The F1 score and Receiver Operating Characteristic-Area Under Curve (ROC-AUC) curve are two performance measures used to measure how accurate and predictive the trained models are. The study findings provide insights into the qualities of the materials, facilitating improved material selection, quality assurance, and decision-making in the building sector. In the analyses, the best accuracy value was 99.92%, and the precision value was 88.83% using the LR algorithm. As a result, it was determined that the LR algorithm had the least execution 57.826 ms, and is thus the most suitable for use in concrete compressive strength estimation.

Critical Factors Affecting Quality in Building Construction Projects: Systematic Review and Meta-Analysis

Critical Factors Affecting Quality in Building Construction Projects: Systematic Review and Meta-Analysis