Construction Project Control Research Articles

Project management, process control and organizational coordination of construction projects: Basis for construction project performance framework

Project management, process control and organizational coordination of construction projects: Basis for construction project performance framework

Project Controls Model for Sustainable Construction Projects

As sustainability rises in significance in the construction industry, there is a need to adopt new project management techniques to help achieve increases in sustainability objectives. There have been several research works that have investigated the integration of sustainability in construction. However, there is a gap in addressing performance measurement and evaluation during the construction phase. Traditional project performance evaluation methods use the Earned Value Management (EVM) technique to assess time, cost, and scope performance. However, EVM does not address the performance of sustainability goals. The main objective of this paper is to develop a new project controls method for sustainable construction projects. Sustainability performance indicators can play an essential role in advancing the practice of sustainable construction. Accordingly, a Sustainable Earned Value Management (SEVM) model incorporating sustainability indicators was developed to monitor the attainment of sustainability objectives in construction projects in addition to the traditional objectives. The proposed SEVM model uses the construction planning optimization model to prepare the baseline plan to monitor the project’s time, cost, and sustainability performance. The proposed model enhances the monitoring and control of sustainable construction projects in terms of time, cost, and sustainability using sustainability indicators.

Application Analysis of BIM Technology in Construction Engineering Cost Management

With the rapid development of information technology, Building Information Modeling (BIM) technology has gradually occupied an important position in the construction industry. With the introduction of BIM technology, the cost control of construction projects can be greatly improved [1]. The use of this technology can not only reduce the project approval time but also improve the quality of the project. In addition, it can also help the construction personnel to solve the project changes, maintenance costs, insurance rates, and other related issues, so that the operation of the project is more efficient and economical. This paper will discuss the role of BIM technology in depth, and explore the advantages and disadvantages of each link through the research of the project, to provide a reference for the promotion of this new project. By constantly adjusting the application strategy, the goal is to meet the current market demand.

Building information modeling (BIM) implementation and construction project success in Malaysian construction industry: mediating role of project control

PurposeThe primary objective of this study is to analyze the correlation between the application of building information modeling (BIM), the construction project success (CPS) and project control. Additionally, this research aims to explore the potential mediating effect of project control on the link between BIM and construction project success in the Malaysian construction industry.Design/methodology/approachThe present study employs a quantitative research methodology and adheres to a positivist research philosophy in order to examine the influence of BIM implementation on the CPS and project control within the Malaysian construction sector. The data were collected by structured questionnaire survey from 200 respondents using a purposive sampling strategy, and the results were analyzed by using partial least square (PLS)-structural equation modeling (SEM). The study's findings are all the more noteworthy since, despite the small sample size, 218 persons genuinely participated thanks to the purposive sampling approach.FindingsThe findings of this study indicate that there are notable and positive associations between various variables related to the implementation of BIM. These variables include accurate quantities and estimations, risk management, facility management integration, optimized resource allocation and real-time monitoring. Furthermore, these relationships are observed to have a significant impact on both CPS and project control. The study revealed that project control serves as a mediator in the relationship between the deployment of BIM and the CPS in the Malaysian construction sector, with the exception of its influence on risk management.Originality/valueThe originality of this research consists in examining the mediating function of project control in the relationship between BIM implementation and CPS. This study contributes to the existing knowledge by enhancing our understanding of the processes via which BIM positively influences project outcomes.

Cost Control Strategies in the Pre-Construction Period of Highway Construction

Effective cost control in the investment and design phases of highway construction is crucial for managing project expenses. However, current management practices often overlook pre-construction cost management, leading to budget overruns and project delays during later stages. To ensure the smooth execution and cost control of highway construction projects, this paper examines the significance of cost control, evaluates the current state and challenges of highway construction, and proposes strategies for cost management. These strategies aim to establish a robust foundation for cost management in highway projects.

From process-based to technology-driven: a study on functionalities as key elements of collaborative planning methods for construction projects

With the advancement of emerging technologies, significant attempts have been made to develop collaborative planning methods and to involve as many project stakeholders as possible in the construction project planning and control process. However, inadequate consideration has been paid to the characteristics, goals, and principles underlying these methods to meet the needs of collaboration for project planning between project teams. To deal with this, a multi-stage methodology was carried out to achieve the aims of this study. The first step was identifying collaborative planning methods and their functionalities in the construction sector. Further, a quantitative analysis based on Social Network Analysis (SNA) was conducted to determine the most frequently utilized functionalities in collaborative planning methods. The results revealed that process-based collaborative planning methods’ functionalities prioritized process and people-related characteristics such as team trust and promise, as well as social interactions, whereas technology-driven methods highlighted visualization along with collaboration and communication as a key element of collaborative planning. Subsequently, this study contributes to the body of construction project planning and control knowledge from both theoretical and practical perspectives by enhancing the understanding and sensemaking of project stakeholders towards the underlying concepts and objectives of collaborative planning methods.

高校建筑工程的造价管理与控制

With the continuous development and popularization of education in China, the pace of expansion in higher education institutions has been accelerating, leading to an increase in the scale of operation and the number of various construction projects in colleges and universities. As education becomes more widespread, to meet the demand for high-quality talent training, higher education institutions must actively improve their infrastructure to provide students with a good learning and living environment. In the context of the increasing scale and number of university construction projects, higher requirements have been set for construction cost management, and implementing effective cost management and control is an important prerequisite and foundation for improving the economic benefits of university construction projects. This article starts from the characteristics and significance of construction cost management, analyzes the problems in cost management and control of university construction projects from the stages of investment decision-making, bidding, construction, and completion settlement, proposes targeted countermeasures, and on this basis, provides rational suggestions for improving the level of cost management and control in university construction projects.

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%

Analysis of the Influence of Adjacent New Pile Foundation Construction on the Structural Deformation of the In-service Subway Tunnels

Taking the construction project of a new bridge pile foundation above an in-service subway in Xi’an as an example, considering the influence of horizontal symmetrical construction of pile foundation hole forming on the deformation of different sections of asymmetric tunnels, a three-dimensional finite element geometric model of pile-tunnel-soil is established based on ABAQUS software. Through the numerical simulation analysis of the structural deformation behavior of the in-service subway tunnel under the two construction stages of pile foundation hole forming and concrete pouring, the horizontal and vertical deformation laws of the key points of the in-service subway tunnel caused by the construction of the adjacent new pile foundation are analyzed from different angles.The calculation results show that: the deformation of the interval tunnel is mainly caused by vertical displacement, resulting in overall settlement of the tunnel. However, the settlement value is within a controllable range and does not affect the normal operation of the in-service subway tunnel. The concrete pouring stage has a greater impact on subway tunnels. The research work has important reference value for the reasonable safety monitoring and control of similar construction projects.

Sistem Analisis Kinerja Menggunakan Metode Earned Value Untuk Proyek Pekerjaan Electrical Greenhouse di Kota Batam

Infrastructure projects such as greenhouse construction, are important for economic growth. Effective project control is essential, especially in terms of managing budgets and ensuring timely completion. The Earned Value (EVM) method is used in construction project control because it integrates costs, time, and work progress. This allows for the identification of potential cost and time overruns. Data on expenditures and project-related documentation are gathered for analysis. Work plans and project schedules are used to determine the value of work yet to be completed. The research findings up to the 10th month indicate that the projected total cost for completing the entire project is IDR 10.773.835.000. This leaves 8% of the total budgeted value as remaining project budget. According to the data reported in the 11th month, the projected time for completing the project is 334 days. This is approximately 304 days ahead of the planned schedule. In summary, the EVM method is a valuable tool for project control in the construction industry. It can help to identify potential cost and time overruns, and ensure that projects are completed on time and within budget.

ANALYSIS OF PROJECT DELAY USING THE CRITICAL PATH METHOD (CPM): A CASE STUDY ON THE CONSTRUCTION PROJECT OF THE OPD OFFICE BUILDING IN PASURUAN

In construction project control, the main factors of concern are quality, time and cost control. So it is necessary to use one method in the implementation of control. This study aims to analyze the time and cost of the Raci OPD Office Building Construction project. The benefit of this research is to anticipate potential delays that occur in the project. The problem limitation is focused on work that has not been completed in the remaining time of the contract period. To analyze time and cost, this research uses Critical Path Method (CPM) and Time-Cost Trade-Off (TCTO) which begins with determining the work network and critical path. TCTO analysis is carried out by shortening the duration of work by adding 3 hours of overtime and calculating the Crash Slope of each job on the critical path. Rescheduling is done by accelerating the work that has the lowest cost. The results showed that the most effective rescheduling was carried out on the Lt.3 Installation and Plastering work with the acquisition of an acceleration duration of 8 days. And the total cost required for this acceleration is Rp. 29,441,424, - or Rp. 1,226,726, - per day for 24 days.

STUDY OF COST AND TIME ANALYSIS USING THE TIME COST TRADE-OFF (TCTO) METHOD IN THE CONSTRUCTION PROJECT OF THE OFFICE BUILDING OF A GOVERNMENT AGENCY (OPD) IN PASURUAN

In construction project control, the main factors of concern are quality, time and cost control. So it is necessary to use one method in the implementation of its control. This study aims to analyze the time and cost of the Raci OPD Office Building Construction project. The benefit of this research is to anticipate potential delays that occur in the project. The problem limitation is focused on work that has not been completed in the remaining time of the contract period. To analyze time and cost, this research uses Critical Path Method (CPM) and Time-Cost Trade- Off (TCTO) which begins with determining the work network and critical path. TCTO analysis is carried out by shortening the duration of work by adding 3 hours of overtime and calculating the Crash Slope of each job on the critical path. Rescheduling is done by accelerating the work that has the lowest cost The results showed that the most effective rescheduling was carried out on the Lt.3 Installation and Plastering work with the acquisition of an acceleration duration of 8 days. And the total cost required for this acceleration is Rp. 29,441,424, - or Rp. 1,226,726,- per day for 24 days.

A model for the application of big data analytics in cost prediction and control in construction projects

Abstract Construction project cost control is an important aspect of project management. This paper aims to provide an effective cost control management mode for the construction industry by studying the application of big data technology in cost prediction and control management of construction projects. The standard particle swarm algorithm is optimized by establishing a particle object element model, performing iterative and hierarchical updating of particles, and introducing the Tent mapping strategy. Then it is used in the optimization of the Extreme Learning Machine algorithm to design a construction project cost prediction and control model based on APSO-LLM. The index system of the construction project cost prediction and control model is constructed, and the convergence effect, prediction effect, and case application of the model are analyzed. The APSO-LLM model enhances the convergence speed and search accuracy, boosts the optimal fitness by 0.037, and maintains a construction cost prediction error below 3%. The study proves the APSO-LLM model’s applicability, accuracy, and good prediction effect in cost prediction and construction project control.

Application of the controlling mechanism and sustainable development principles in the implementation of construction projects

The relevance of the study is determined by the need to ensure sustainable functioning of construction enterprises by increasing the efficiency of investment projects through the use of controlling mechanisms and application of the ESG concept. As a result of the research, the interrelation of project implementation processes by management phases was analyzed, problems in terms of control of investment and construction projects were identified and directions for improving the control mechanism with the application of the ESG concept were proposed. The purpose and main result of the study is to develop measures to improve the methods of control over the timing of implementation of investment and construction projects, taking into account compliance with the principles of the ESG concept.

Research on the Path of Cost Control and Economic Benefit Enhancement in Construction Engineering Projects

Abstract The increasingly competitive market situation in the construction industry requires that construction enterprises strengthen the cost control of construction projects in order to improve the economic efficiency of enterprises. This paper is based on the improved genetic algorithm to realize the optimization of the cost control strategy of the construction project and effectively overcome the problems of weak cost control consciousness and high material procurement cost in the previous cost control. A construction company is selected as the object for the case study, and the genetic algorithm is used to calculate and analyze the cost control of the construction company. The return on investment, net present value, and internal rate of return are used as indicators to measure the economic benefits before and after optimizing cost control strategies. The improved genetic algorithm calculates that among the cost control factors of the construction company, procurement management, and field operation have a high probability of being selected in the genetic calculation, and the final project cost is 36.7849 million yuan through the genetic algorithm, which achieves the goal of project cost control. At the same time, this paper finds that cost control has a significant positive effect on the improvement of economic efficiency, and the economic efficiency of this construction company before and after the optimization of the cost control strategy is significantly improved.

Performance Analysis System Using Earned Value Method For Electrical Greenhouse Work Project In Batam City

Infrastructure projects, such as greenhouse construction, are necessary for economic growth. Effective project control is essential, especially in managing budgets and ensuring timely completion. The Earned Value (EVM) method is used in construction project control because it integrates costs, time, and work progress. This allows for the identification of potential cost and time overruns. Data on expenditures and project-related documentation are gathered for analysis. Work plans and project schedules determine the value of work yet to be completed. The research findings up to the 10th month indicate that the projected total cost for completing the project is IDR 10,773,835,000. This leaves 8% of the total budgeted value as the remaining project budget. According to the data reported in the 11th month, the projected project completion time is 334 days. This is approximately 304 days ahead of the planned schedule. In summary, the EVM method is a valuable tool for project control in the construction industry. It can help to identify potential cost and time overruns and ensure that projects are completed on time and within budget.

Automated progress measurement using computer vision technology in UK construction

A critical concern with the UK’s construction project progress monitoring and control techniques is their dependency on data collection, which is time consuming and unproductive and may lead to various circumstances in managing projects. However, collecting and accurately analysing information from construction sites requires the development of technologies. As key artificial intelligence (AI) technology, computer vision (CV) is a powerful tool for big data analysis that can address the aforementioned challenges. This study explores the status of CV-based construction progress monitoring (CV-CPM) adoption and the main barriers to and incentives for its adoption within the UK construction sites. In this respect, after an extensive review of the literature covering the AI technology in construction management and the concept, function and usage of CV and its integration with construction progress monitoring, including its benefits and drivers and technical challenges, a questionnaire was administered to UK construction professionals to collect their perceptions. The study results indicated that construction practitioners were relatively aware of CV-CPM but lacked competencies and skills. CV-CPM has been perceived to be relatively better than the traditional approach. Implications such as the cost of implementation, lack of expertise and resistance to change were the major challenges in CV-CPM adoption. Meanwhile, technological development, decision making and competitiveness were classified as incentives for its adoption.

Cost Management and Risk Control of Construction Projects under the Market Economy

With the continuous development of construction enterprises, the cost management of engineering projects has received more attention as a factor that directly affects the profits of enterprises. Under the deployment of the market economy, which is closely related to it, the construction cost often presents a certain degree of uncertainty.In the face of this uncertainty, properly managing risks and optimizing cost management strategies have become an effective way to maximize the benefits of construction companies. Starting from the problems existing in the cost management of construction enterprises, this paper puts forward some suggestions for their risk control and cost management.

BIM+ Engineering Cost Estimation Optimization Based on Equivalent Approximate Linear Model

Abstract In this paper, a typical equivalent fitting linear modeling method is studied by using BIM technology. This paper realizes the quality-efficiency control of construction projects based on BIM technology. The software can realize the cost data statistics and collection of each sample. The system takes the statistical sequence of each department’s project cost as the original data for dimensionality reduction processing. The variance contribution is used as the weight to calculate the weight of each main component. According to the finite element analysis of combined parameters, the project cost and construction benefit are the restrictive factors. A multi-factor comprehensive evaluation method establishes a rapid construction cost evaluation model. The experimental results show that this method agrees with the conventional calculation method and the measured data. The estimated cost of construction differs little from the measured value. The results show that the model constructed according to different stages of the construction projects has good prediction accuracy.

Exploring the Effectiveness of Immersive Virtual Reality for Project Scheduling in Construction Education

The emergence of immersive technologies, such as virtual reality (VR) headsets, has revolutionized the way we experience the physical world by creating a virtual, interactive environment. In the field of education, this technology has immense potential to provide students with a safe and controlled environment in which to experience real-world scenarios that may be otherwise unfeasible or unsafe. However, limited research exists on the effectiveness of integrating immersive technologies into technical education delivery. This research investigated the potential use of immersive virtual reality (IVR) in university-level construction management courses, with a focus on integrating IVR technology into traditional education for construction project planning and control. The experiment involved comparing the students’ learning and understanding of the subject matter using a set of two-dimensional construction drawings and a critical path method (CPM)-based construction schedule, with and without the use of an immersive environment. The findings suggested that the use of immersive technology significantly improved the students’ ability to understand technical concepts and identify any errors in the construction sequence when compared to traditional teaching methods. This paper presents the details of the experiment and a comparative analysis of both approaches in terms of students’ learning and understanding of project planning, sequencing, and scheduling.