Project Cost Performance Research Articles

Construction of a Value Growth Prediction Model for the Integration of Construction Project Management and BIM Technology

Abstract BIM technology is an important technology for digitizing construction project management in order to improve management efficiency, and it has a supportive role in predicting the relevant indicators of project management. The article constructs a project management prediction model based on BIM technology that integrates GSVM and EVS. The earned value method is used to calculate the project schedule performance index and cost performance index, and the gray support vector machine is adopted to map the nonlinear data into the high-dimensional space and carry out calculations in order to simplify the complexity of calculations and improve the prediction efficiency and accuracy. The case study shows that the project duration was shortened by 21 days and 242,000 dollars reduced the cost by applying the model of this paper. Structural equations confirm the positive effect of BIM technology and the GSVM-EVM model on the performance of construction project management and the positive effect of BIM technology on the prediction effect of the GSVM-EVM model.

A Review on Adoption of Bim in Reducing Construction Rework

In the construction industry, the aim of project control is to ensure that the projects are completed on time, within budget and achieving other project objectives .Rework is one of the most major problems in the construction industry. It has an impact on time, cost, quality, and practically every other project success factor. There is always a significant loss of resources, materials, investments, and workforce-time as a result of rework and poor use of resources and materials in the works. Rework may be reduced by designing and planning with full understanding of customers and stakeholders, good communication amongst project aspects, applying quality management systems, and utilizing Information Technology. Because of the worldwide expansion of IT and the widespread use of BIM ,which coordinates all of the software and parts of the construction--the appearance of mistakes and inconsistencies has been drastically reduced in recent years, allowing specialists to realize their full potential in doing projects. To the best of the author’s knowledge, this study is to use actual project data to measure the effects of BIM implementation on rework in construction projects. The study's findings enable practitioners to develop techniques to reduce rework with BIM implementation, enhance project cost and time performance, and increase project delivery efficiency

Pengaruh Kepemimpinan Tranformasional, Budaya Organisasi, Lingkungan dan Stress Kerja terhadap Rework di Mediasi Oleh Work Motivation pada Pelaksanaan Proyek Konstruksi

During the implementation period as well as during the maintenance period, there was a lot of work improvement, demolition, or in other words there was a lot of rework, where this rework illustrates the poor quality performance of the project implementation. Many aspects at the implementation stage of this construction project can cause product quality failure (non-performance) so that it must be disassembled and reworked, one of these factors is caused by the aspect of human resources. Quality performance problems that lead to rework can be said to often occur in the implementation of construction projects, both in the type of road projects, bridges, buildings, waterworks, and other types of construction projects. Rework causes cost overruns in project implementation which impact on project cost performance, and ultimately affect overall company performance. One of the dominant causes of the rework incident, among other aspects, is human resources. This research uses descriptive research method. The role of human resources is essentially one of capital and holds the most important position in achieving company goals. To achieve the success of a company not only in terms of technological excellence, but the role of human resources is the most important component in achieving company success.

Client Peripheral Knowledge and Outsourcing Project Outcomes

ABSTRACT Client peripheral knowledge is the knowledge residing in the client organization regarding the specific technologies and methodologies needed to successfully complete an IT (information technology) project that has been outsourced by the client. Data is collected from 205 USA managers, who have overseen outsourced IT projects, to see if peripheral knowledge in their own client organization affected outsourced project processes and outcomes. The project processes examined are the degree of stability of requirements during the project, and the level of vendor activities to interface with the client. The project outcome is operationalized as client satisfaction, as well as project cost performance and time performance. We find client peripheral knowledge positively affects requirement stability and vendor activities to interface with the client; requirement stability in turn positively affects client satisfaction and time performance; and vendor activities positively affect client satisfaction, but levy a penalty on the cost performance and time performance.

Project Cost Management and Performance of National Housing Corporation Projects in Kenya.

Projects from government give recipients or beneficiaries an exceptional premium, success of a project is not a time activity, success of a project must be conducted within the scope and also sufficient financial support should be in place. This includes ensuring and involving all stakeholders. The purpose of the study was to assess the relationship between project cost management and performance of National Housing Corporation projects in Kenya. The study was guided by general system theory. The study adopted positivism research philosophy and explanatory research design was used. The target population of the study was 425 projects of National Housing Corporation Projects from 2013 to 2020 and this was our unit of observation; a simple random sampling was used to select 206 respondents which was our unit of analysis. Primary data was collected using structured self –administered questionnaire while secondary data was collected from publications, annual reports, books, researches dissertations and the internet. Data collection procedure was done using drop and pick method. Data analysis was done using Statistical Package for Social Science (SPSS) version 28 software and descriptive and inferential statistics analysis presented in form of tables. The study was confirmed in National housing corporation projects in all the 47 county governments of Kenya. The findings of the study established that project cost management significantly predicts performance of national housing corporation project in Kenya. Specifically, the findings of the study established that project cost management had a positive correlation on performance of National Housing Corporation Projects in Kenya. The study supports the current theories related to the study. The study recommends National Housing Corporation should enhance adoption of project cost management so that performance of projects to be improved and this will go a long way in ensuring that there is improved performance of National Housing Corporation Projects in Kenya

Comparing time and cost performance of DBB and DB public construction projects in Kuwait

Kuwait is an enormous construction site as many vital public projects are under construction or in preparatory stages to achieve the vision of a New Kuwait by 2035. However, the new Public Tenders Law No. 49 of 2016 authorized the sole operation of the Design-Bid-Build (DBB) method as the delivery system method, preventing the employment of Design-Build (DB). Hence, this research undertook a comparative analysis of cost and time performance of DBB and DB public construction projects in Kuwait for the first time, marking the originality of this study. Moreover, 160 projects were collected from four government entities. Then, the total collected projects were categorized based on contract types and project sizes depending on contract cost. This research has recognized that DB has superior performance compared to DBB regarding cost growth for all collected projects, both contract types, projects of less than 300,000 KD, and projects between 300,000 and 12 million KD. No statistically significant differences between DBB and DB projects regarding schedule growth were found for all collected projects, both contract types and project sizes. Furthermore, the findings indicated that the DBB projects’ construction intensity was faster than that of DB projects with a value between 300,00 KD and 12 million KD. For projects that had a value of more than 12 million KD, the DB projects’ construction intensity was faster than that of DBB projects. Hence, it is concluded that the issue is not with the DB delivery systems themselves, but rather with the deployment of these systems.

The impacts of 5D-Building Information Modeling on construction's Time and cost performance

The construction sector is essential to a country's economic growth and development. This is why the construction of building projects is one of the most pressing concerns for the Indonesian government. The industrial sector has become increasingly dynamic and responsive to the challenges of building projects due to technological advancements. One example is the Building Information Modelling (BIM) 5D, an emerging technology integrating project implementation time and costs into a 3D model. Therefore, this study aims to investigate the success factors of BIM 5D implementation on the time and cost performance of high-rise building construction projects at Campus-II UIN Sunan Ampel Surabaya. This was achieved through a quantitative research method using a questionnaire completed by 62 respondents: the project manager, site manager, engineering head, and site engineer. Moreover, descriptive statistics were utilized to examine the frequency distribution of concentration measures and data distribution on sample characteristics and variables. The findings showed that the factors of tender document, human resources, BIM software, planning process and production process simultaneously positively affected the construction project's cost and time performance.

Strategy development of contractor with Contractor Full Pre-Finance (CPF) scheme using risk-based approach to increase cost performance of toll road development projects

Strategy development of contractor with Contractor Full Pre-Finance (CPF) scheme using risk-based approach to increase cost performance of toll road development projects

Predicting Cost and Schedule Performance of Green Building Projects Based on Preproject Planning Efforts Using Multiple Linear Regression Analysis

Predicting Cost and Schedule Performance of Green Building Projects Based on Preproject Planning Efforts Using Multiple Linear Regression Analysis

Impact of health and safety management implementation on cost performance of construction projects in Abuja, Nigeria

Construction activities lack understanding of health and safety management implementation and perceived safety cost as a burden. Stakeholders, especially contractors within the construction industry believe that investment in health and safety management system increases overall construction cost, and therefore, tend to neglect relevant accident prevention activities on construction sites. Therefore, this study has the following objectives: it assesses the impact of health and safety management implementation on cost performance of construction projects in Abuja, Nigeria; identifies health and safety management practices adopted by construction sites and to assess the cost implication associated with the implementation of health and safety management practices within the selected construction sites. Data were collected using structured questionnaires and analyzed using simple percentile and mean item score. The study identifies 35 elements of health and safety management implementation on cost performance of construction sites, under 4 major components out of which safety manager on site with the mean score 4.51, onsite safety inspection 4.25, safety helmet 3.95 and tool – box talk 3.89 were the most important under each component of health and safety management system. The result reveals that the cost of implementing health and safety programme is a major challenge facing Nigerian contractors and companies in terms of high-cost involvement in the area of injuries and hazard on site. This tends to increase the overall cost of the project. Therefore, the paper recommends that adequate cost control measures be adopted to checkmate health and safety expenditure during construction process instead of total avoidance of health and safety programme.

Factors Influencing Cost Performance of Construction Projects in Kaduna State

The prime objective of every client is to accomplish the project within the agreed budget and time. The construction industry has been described as one of the most fragmented, multifaceted, time and material-driven industry. The industry is always faced with challenges such as low quality, low productivity, delay, cost overrun, etc. The issue of cost does have obvious implications for the key stakeholders in particular, and the industry in general. Therefore, this study aimed at exploring those factors that influence cost performance of the construction projects in Kaduna State with a view of establishing the bases for professionals to note when carrying out cost management of any project. The objective of this study is to establish the main factors influencing cost in the Kaduna state construction projects. This study was carried out in Kaduna state, Nigeria. The Methodology used was quantitative research approach. With the aid of a questionnaire survey, data was collected using Simple random sampling. The target population of this study was 827 while the sample size used was 270. 198 questionnaires were filled and returned. Exploratory factor analysis was used to analyse the data so as to identify factors capable of being understood. Out of which seven underlying factors were identified. The seven-component solution explained a total of 75.782% of the variance explained with component 1 contributing 19.250%, component 2 contributing 14.585%, component 3 contributing 11.737%, component 4 contributing 10.744%, component 5 contributing 7.813%, component 6 contributing 6.872% and component 7 contributing 4.781% establishing the factors influencing cost performance in the Kaduna state construction projects. They are: Project Management Factor, Expertise and Market Forces Factors, Contract Management Factors, Contractual and Socioeconomic Factors, Government Policies and External Factors, Procedural and Standards factor and, Experience and Service Cost Factor. Hence, concluded that much focus should be placed on these factors in order to reduce the cost of construction project, enhance construction cost performance for the client and generate confidence within the construction industry for professionals. The study recommended that the clients, consultants and contractors should undertake the execution of construction works with deliberate and due diligence towards minimizing these factors influence on the cost of construction project as identified from the study.

Assessment of Cost and Time Performance of Tertiary Educational Trust Fund (TETFund) Construction Project in South-West Nigeria

Funds have been allocated to TETFund annually for infrastructural development in Nigeria to address decays of educational facilities and create an enabling environment for teaching and learning. This study evaluates time and cost performance of public building construction projects funded by TETFund in South-West Nigeria. The study adopted questionnaire survey by self-administering two hundred and fifty (250) questionnaires to project clients, consultants and contractors engaged in TETFund projects in South-West Nigeria. One hundred and eighty-six 186 (74.4%) of the questionnaires were retrieved from the respondents and were used in the study. Also, record of project cost and duration were purposively obtained from two hundred and fifty-four (254) TETFund sponsored projects from Institutions in South-West Nigeria. Mean Score (MS) was used to rank the various items and components while regression analysis was used to forecast future project cost and time. The top three factors that influence cost and time based on the perceptions of the respondents are client satisfaction with the project (MS= 3.86), construction time predictability (MS= 3.85) and construction cost predictability (MS= 3.83). From the TETFund project records analysed, a total sum of ₦10,856,167,497.14 was spent on TETFund building construction projects in South-West Nigeria from 2003-2013 with a contingency sum of ₦163,248,265.44. The average percentage cost overrun for TETFund projects was 1.62% and that of time overrun was 112.23%. Regression analysis of the predicted project time and cost was significant and can be used to forecast time and cost of future TETFund projects. Therefore, it was recommended that accurate cost estimate, adequate project planning and good specification should be carried out by project stakeholders before contracts are awarded to enhance construction project performance. Also, the developed regression model of estimated project cost and time can be used to predict cost and time of future construction projects.

Influence of digitalisation adoption level on construction project delivery in Nigeria

PurposeThe rate of project failure across the globe seems to reinforce poor performance as a norm. However, engagement with construction digitalisation (CD) represents a departure point for improving project performance. Amidst researchers' recent empirical engagement with CD, the knowledge of the relationship model between CD and project delivery (PD) is abysmal. As a result, developing a business case for CD in developing countries has been slow due to the dearth of empirical evidence. This paper aims to investigate the influence of digitalisation on project performance.Design/methodology/approachAnchored on cross-sectional survey research design using a questionnaire survey in which a total of 183 copies of structured questionnaires were randomly distributed to medium- and large-sized construction firms operating in Abuja, Nigeria's federal capital. A total of 126 valid responses were received giving an overall response rate of 68.8%. The responses were analysed using mean item score, principal component analysis and multiple linear regression.FindingsFindings from the regression analysis reveal that digitalisation has varying levels of impact on PP measured using quality, time and cost. The relationship model with time performance is weak (r = 0.526, r2 = 0.277); on cost performance, the significant model is also weak (r = 0.502, r2 = 0.252) and moderate on quality (r = 0.663, r2 = 0.439). CD influences project cost, time and quality performance despite the weak relationship model. The results indicate that the most effective benchmark of CD is quality performance.Originality/valueThis study established the relationship between digitalisation and construction PD within the construction industry context, an area lacking research attention in emerging economies. This study is the first study in emerging economies that established the influence of digitalisation on construction PD statistically.

Toward a Deeper Understanding of Optimism Bias and Transport Project Cost Overrun

There is a growing face-value acceptance of optimism bias as the primary cause of transport cost overruns. This article provides a timely review of literature on optimism bias and transport infrastructure project cost overruns. The article identifies significant gaps and unanswered questions about the relationship between optimism bias in project cost appraisal and cases of transport infrastructure cost overruns. The presence and nature of optimism bias in the complex institutional environment of project cost appraisal are largely understudied and not well understood. Consequently, this has significant implications for the development of effective mitigation strategies for improving transport project cost performance.

Analyze the Effect of Waste Materials and Material Management with Lean Construction to Improve Project Cost Performance

The purpose of this study is to measure how significant the influence of material management owned by the project team has an impact on the implementation of project financial performance. Research on stakeholder interaction analysis is designed based on its objectives, including explanatory research. The results showed that the application of the Lean Construction approach in material management can have a significant impact on improving project cost performance. Reducing material waste through the identification and elimination of waste provides the potential for significant cost savings. In addition, the use of effective material management strategies, such as reliable supplier selection, good inventory control, and proper coordination between project teams, also contributes to cost efficiency. In conclusion, material management has a significant influence on project financial performance directly with the lean construction process.

VARIABLES AND INDICATORS TO MEASURE THE PERFORMANCE OF SUSTAINABLE CONSTRUCTION PROJECT MANAGEMENT OF CITY PARK

City people need a quality city park. It makes the city park development project anticipate the needs of the community and the environment. Currently, city parks in Jakarta aren’t qualified, because the gaps in the management of city park construction projects. The research aim is to provide a set of variables and indicators that influence the pre-construction stage of managing a sustainable City Park construction project to measurement city park project cost performance and quality, as a reference for increasing the achievement of city park functions. This study applies a combination of Soft System Methodology (SSM) and Hard System Methodology (HSM) with Focus Group Discussion (FGD) and questionnaires. This research is consultant's point of view pilot project. The research results are a set of variables and indicators for performance measurement as a basis for developing a model of sustainable city park construction projects management in future research.

Integrating machine learning and network analytics to model project cost, time and quality performance

This study aims to connect project management, network science and machine learning in an accessible overview applied to a real original dataset. Based on an initial literature review of applicable project performance measures and attributes, relevant project data were collected through an online survey. The information was split into three categories, including the basic project measures (five attributes), project stakeholder network measures (seven attributes), and project complexity measures (seven attributes). In total, 70 responses were collected, and five machine learning approaches (i.e. support vector machine, logistic regression, k-nearest neighbour, random forest and extreme gradient boosting) were applied to model the relationships between project attributes, networks and the Iron Triangle of project cost, time and quality. The results confirm the expected trends affecting project performance and provide an example for the discussion of the applicability of integrated machine learning and network analytics approaches to modelling project performance. The article demonstrates in an accessible way a real case of integration of machine learning, network science and project management and suggests avenues for further research and applications in practice.

Structural model of cost overrun factors affecting Pakistani construction projects

Cost overruns are a global challenge to successfully completing construction projects. Cost overrun has a substantial impact resulting in most construction projects failing to be completed. Several factors have contributed significantly to the industry's decline. The factors were discovered in the literature, assessed, and applied to the construction industry in Pakistan. This study scrutinized and identified the relationships between the factors causing cost overruns in the Pakistani construction industry using the Partial Least Squares Structural Equation Modelling (PLS-SEM) approach. The structural model was created and tested with Smart-PLS software using data from a questionnaire survey of 131 construction practitioners. Six constructs were used to categorise the factors. The model identifies 21 critical factors in Pakistani construction projects, with resource management ranking first. Contract management issues can also contribute significantly to project cost overruns. Model assessment results indicate that the developed model has a substantial power of explaining the factors of cost performance while R2 value showed that 45.7% variance is explained by the model. The model developed model will serve as a jumping-off point for academics, researchers, and practitioners in developing a cost-control system. It is suggested that establishing an efficient and effective contract management protocol among stakeholders throughout the design and supervision stages is extremely beneficial for improving project cost performance and significantly reducing time overruns.

Analysis of factors causing rework and their mitigation strategies in construction projects

Rework has turned into a problem in the building sector since it causes unwanted and pointless effort wastage. Both the design and construction phases of construction projects are affected, and it results in decreased project cost, quality, and schedule performance. Rework costs in large civil engineering projects might be anywhere between 5% and 20% of the contract value. It is crucial to effectively reduce rework as much as possible. Before rework can be managed properly, its underlying causes should found. So as to quantify rework in construction projects. The objective of this study was to find the contributory factors in the building sector, as well as how it affects project costs. The reasons for producing rework in construction projects and mitigation strategies to prevent rework in construction projects were identified based on research of the literature and expert opinion. Data from construction industry experts was gathered through a questionnaire survey. After statistical analysis of the data obtained from the questionnaire survey, structural equation modelling (SEM) was created. The findings of this study demonstrate that important reasons for rework were a lack of coordination and communication, errors and omissions, and changes brought about by parties. The results could improve the performance of the construction project by helping everyone understand why rework happens and how to cut it down as much as possible.

Prediction of cost and schedule performance in post-hurricane reconstruction of transportation infrastructure.

This study aimed to develop predictive models that could be used to estimate the cost and schedule performance of reconstruction of transportation infrastructure damaged by hurricanes and to determine the predictors that are robustly connected to the developed models. Stepwise multiple linear regression and extreme bound analysis (EBA) were used to develop the models and determine the robust and fragile predictors, respectively. The results demonstrated that seven cost performance predictors and nine schedule performance predictors accounted for Adjusted R-Squared of 92.4% and 99.2%, respectively. The results of the EBA revealed that four cost and seven performance predictors were robustly connected to the developed cost and schedule performance predictive models. It was concluded that increases in laborers' wages, the number of inspections, information and data management, and addressing safety and environmental issues prior to a project's execution were predictors of both the cost and schedule performance of reconstruction projects. The outcomes of this study provide knowledge and information that will be helpful to decision-makers who are responsible for mitigating delays and cost overruns, and effectively allocating their limited resources available following a disaster.