Construction Project Management Research Articles

Multi-objective time-cost-safety risk trade-off optimization for the construction scheduling problem

PurposeThe purpose of this study is to enable the planning of construction projects with simultaneous consideration of time, cost and safety risks. It also aims to improve the decision-making process by evaluating the effectiveness of the Rao-2 algorithm in solving multi-objective time-cost-safety risk problems. In the end, this model is designed to support project managers in enhancing management approaches by addressing project challenges and constraints more efficiently.Design/methodology/approachIn this study, the Rao-2 algorithm, along with Grey Wolf Optimization (GWO) and Whale Optimization algorithm (WOA), were improved using the crowding distance-based non-dominated sorting method. Rao-2 was first compared to GWO and WOA. Subsequently, it was compared with well-established algorithms in the literature, including genetic algorithm (GA), particle swarm optimization (PSO) and differential evolution (DE). The C-metric, hypervolume and spread metrics were employed for performance measurement. The performance of the algorithms was evaluated on four case studies consisting of 11, 13, 18 and 25 activities.FindingsThe results revealed that Rao-2 performs better than other algorithms as the number of activities increases, when compared using the Hypervolume, Spread and C-metric measures. In terms of performance measures, the GWO algorithm outperformed Rao-2 in some evaluation metrics for the instance involving 11 activities. However, as the number of activities grew, the Rao-2 method consistently generated higher-quality Pareto fronts and outperformed GWO and WOA in all evaluation metrics. The solutions generated by Rao-2 were also superior to those obtained from GA, PSO and DE in all case studies, further demonstrating the capability of our framework to produce a wide range of optimal solutions with high diversity across different case studies.Originality/valueThis research demonstrates that Rao-2 not only improves solution quality when generating Pareto fronts but also achieves better results with fewer function evaluations compared to GA, PSO and DE. The algorithm's efficiency makes it particularly well-suited for optimizing time, cost and safety risks in large-scale construction projects, which in turn positions Rao-2 as a better choice for such projects by producing superior results compared to other algorithms. By providing high-quality solutions with reduced computational demands, Rao-2 offers a faster and more resource-efficient tool for decision-making, contributing to advancements in both the theory and practice of construction project management.

Agile Project Management in the Pre-Construction Stage: Facing the Challenges of Projectification in the Construction Industry

Given the complex and dispersed nature of construction projects, which demand collaboration among varied experts, it is crucial to reevaluate project management and execution approaches to enhance their performance. Agile principles offer a path towards heightened responsiveness within tasks and processes, addressing the construction industry’s fast-paced nature and growing client demands for timely project completion. However, adopting new management methodologies, such as Agile, needs a significant cultural shift, enabling the cultivation of multi-skilled and self-managing teams. Projectification, a growing trend in contemporary society where more activities are managed as projects, has gained significant relevance in recent years. This study examines the application of Agile project management (specifically Agile Scrum methodology) during the pre-construction phase of a construction project through the lens of Projectification. As evidenced by the research results, applying the Agile methodology in the pre-construction phase may help enhance flexibility and collaboration, enabling teams to adapt quickly to evolving project requirements and unforeseen challenges. The findings demonstrate that Agile methodologies offer numerous benefits, including enhanced adaptability, flexibility, accountability, transparency, and teamwork. Additionally, there were significant reductions in time and costs, emphasizing the value of Agile practices in construction project management.

Automated Classification of Exchange Information Requirements for Construction Projects Using Word2Vec and SVM

This study addresses the challenge of automating the creation of Exchange Information Requirements (EIRs) for construction projects using Building Information Modelling (BIM) and Digital Twins, as specified in the ISO 19650 standard. This paper focuses on automating the classification of EIR paragraphs according to the ISO 19650 standard’s categories, aiming to improve information management in construction projects. It addresses a gap in applying AI to enhance BIM project management, where barriers often include technological limitations, a shortage of specialists, and limited understanding of the methodology. The proposed method uses Word2Vec for text vectorisation and Support Vector Machines (SVMs) with an RBF kernel for text classification, and it attempts to apply Word2Vec with cosine similarity for text generation. The model achieved an average F1 score of 0.7, with predicted categories for provided sentences and similar matches for selected phrases. While the text classification results were promising, further refinement is required for the text generation component. This study concludes that integrating AI tools such as Word2Vec and SVM offers a feasible solution for enhancing EIR creation. However, further development of text generation, particularly using advanced techniques such as GPT, is recommended. These findings contribute to improving managing complex construction projects and advancing digitalization in the AECO sector.

Is blockchain cost-effective in construction project management? A systematic review from the perspective of transaction cost

PurposeBlockchain technology (BCT) is considered a promising tool to improve the productivity of construction project management. Existing research has studied its potential costs and benefits for the construction industry. However, the potential costs and benefits of BCT failed to be compared as actual costs and benefits of specific applications for stakeholders. To fill this gap, this study seeks to analyze the cost-effectiveness of BCT-based applications in construction project management.Design/methodology/approachThis study is conducted with a customized systematic literature review based on transaction cost theory to enable qualitative comparison. With a deliberately designed structure confining extraneous variables, the costs and benefits of BCT-based applications are identified and compared. The inherent dependent relations of processes and the evolution relations of functions are identified. The cost-effectiveness of blockchain adoption is then analyzed.FindingsSeven functions and six challenges are identified within five processes. The result suggests all identified functions are cost-effective except for manual instruction (coding smart contracts manually). The smart contracts require explicit definition and logic to be effective. However, the construction projects essentially require the institution to be flexible due to unpredictability. The adoption of smart contracts and corresponding additional requirements can increase the transaction cost of bounded rationality.Research limitations/implicationsAs manual instruction is fundamental to realize other functions, and its advanced substitute relies on its broad adoption, its cost-effectiveness must be improved for applications to be acceptable to stakeholders. The establishment of a universal smart contract model and a universal, legitimate and efficient database structure are recommended to minimize the cost and maximize the effect of applications.Originality/valueThis study contributes to the knowledge by providing a comprehensive analysis of BCT adoption’s cost-effectiveness in construction project management. The adopted review structure can be extended to analyze the qualitative benefits and challenges of management automation in the early stages.

Relationship network of safety management elements in the construction industry under the perspective of resilience

PurposeConstruction safety resilience is gradually gaining attention in the field of engineering construction as a new management concept and way to improve safety performance. However, how to cope with the dilemma of the unclear relationship of construction safety resilience elements at the practice level and promote the harmonization of construction safety goals and resilience enhancement paths has become an urgent challenge for safe construction.Design/methodology/approachThis study analyzes the components of construction safety resilience elements. A relationship network model of construction safety resilience elements is developed by using the social network analysis method. The location and influence of each element in the network and the interrelationships among the elements are explored in depth.FindingsThe findings reveal a robust interconnection among the elements of safety resilience in the construction industry. Key components such as safety behavior, risk prevention and control mechanisms, disaster prevention and mitigation technologies as well as information technology, are positioned at the core of the network. Notably, safety behavior exerts the most significant influence over the other elements, serving as the linchpin of safety management in the construction industry. Moreover, the interplay among safety resilience elements in the construction sector can alter the structure of the relationship network.Originality/valueThis study adopts the social network approach to solve the problem that it is difficult to quantitatively analyze the elements of construction safety resilience and their interrelationships and to clarify the interactions among the core elements, which can help to further assist the construction project manager to continuously optimize safety resilience and improve construction safety.

Engineering Value in Projects Building Construction: Case Research Sofifi 3-Story ASN Official House - North Maluku Province

The sustainability of construction projects often hinges on managing costs effectively, as illustrated by the case study of an ASN housing building project in Sofifi, North Maluku. This research aims to achieve significant cost savings by optimizing the selection of construction materials and methods, utilizing the Value Engineering Method. This method systematically assesses the value of each component relative to its function, promoting an innovative approach to minimizing unnecessary expenditures. The research followed several structured stages: information gathering, creative ideation, analysis, evaluation, and development, each focusing on identifying feasible alternatives to reduce costs. The analysis identified two key solutions: replacing conventional flooring with precast materials for floor work and substituting lightweight brick walls with red brick walls. Implementing these changes reduced the total project cost from IDR 2,295,005,206 to IDR 1,698,939,324, achieving savings of IDR 596,115,883 (35%). The findings of this study provide practical implications for construction project management, offering a structured approach to material and method selection that can be adapted to broader-scale projects for enhanced cost-efficiency.

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

Enhancing Performance in Construction Project Management Teams

The seminar paper provides a pragmatic perspective of the topic of enhancing performance in construction project management teams. The paper provides a detailed collated review of several key areas pertaining to construction project management teams and their performance based on the findings of previous research. The study has focused on a range of aspects namely, leadership, competence and capabilities, effective communication, decision-making, interpersonal relationships and emotional intelligence, project management and governance approaches, trust, psychological safety, and team culture. Each sub-topic (aspect) has been structured in a manner that includes a brief introduction to the aspect, its importance for construction projects, the current state in construction projects, strategies, and approaches to eliminate the issues and contribute to increase in the team’s overall performance and finally, the novel strategies and tools pertaining to the focus area. The author anticipates that the content provided in this seminar paper shall be beneficial for effective decision making by organizational leadership and for the project leadership and the team to pay more consideration towards the strategies and approaches to enhance the elaborated aspects that are often overlooked in construction projects.

Automated construction site layout design system for prefabricated buildings using transformer based conditional GAN

Construction site layout plans (CSLP) are crucial for efficient prefabricated construction project management. Traditional manual design process is costly and time-consuming, while optimization methods heavily depend on expert knowledge. Recent advancements in deep generative models present promising alternatives. However, their application to the generation of prefabricated construction site layouts is hindered by several challenges, including limited datasets, significant overlap between facilities, and the necessity to generate layouts based on fixed facilities with specific attributes such as minimal transportation costs. These challenges constrain the efficacy and applicability of the generated layouts. To address these issues, this study introduces an innovative automated generative design system for prefabricated construction site layouts, leveraging a novel Transformer-based conditional generative adversarial network (GAN). The data preparation module of the system collects and augments layout data for training. The CSLGAN module is designed to generate layouts that conform to spatial constraints and desired attributes, with minimal facility overlap. Furthermore, this study establishes benchmarks in terms of model capacity and specialized performance metrics. Extensive experiments demonstrate the effectiveness of the proposed system in automated construction site layout generation.

An Integrated Approach to Constraints Theory and Fuzzy Analytical Hierarchy Process (FAHP) in Construction Projects (Case Study)

The research endeavors to harness the benefits stemming from the integration of constraint theory into construction project management, with the primary goal of mitigating project completion delays. Additionally, it employs fuzzy analysis to determine the relative significance of fundamental constraints within projects by assigning them appropriate weights. The research problem primarily revolves around two key issues. Firstly, the persistent utilization of outdated methodologies and a heavy reliance on workforce experience without embracing modern computerized technologies. Secondly, the recurring problem of project delivery delays. Construction projects typically encompass five fundamental constraint types: cost restrictions, time constraints, administrative and legal limitations, technical and design constraints, and environmental constraints. To address these issues, a field study was conducted, focusing on the development of a housing complex in Qa'imaqamiya, Al-Mada'in district, Bismayah. The researchers propose a three-stage methodology to tackle these challenges. In the initial stage, the theory of accelerated activities is applied to all concurrent implementable tasks. Subsequently, the second stage introduces a hierarchical analysis process, known as FAHP, to quantify the importance of each constraint. Finally, in the third phase, fuzzy logic is employed to calculate the projected duration and associated costs for each activity, ensuring project execution and delivery within agreed-upon timeframes. After applying the proposed methodology, there is a reduction in completion time by up to (23%). Research Type: Research Paper

Retraction: “Empowering Users as a Principle of Construction Project Management”

Retraction: “Empowering Users as a Principle of Construction Project Management”

Impact of leadership skills on the success of large and medium construction projects management in Yemen

Large and medium construction projects in Yemen often face budget and timeline overruns. While technical aspects are heavily focused on, the importance of leadership skills in project teams is often overlooked. This study aims to identify the impact of leadership skills on the success of these projects. A questionnaire was distributed to engineers working in both governmental and non-governmental institutions and organizations, with projects costing above $100,000. Out of the 385 questionnaires distributed, 340 responses were collected, and 246 valid responses were used for analysis. The findings indicate a strong correlation between leadership skills and project success, highlighting the significant role of effective leadership in guiding construction projects. Specific skills such as team management, problem-solving, prioritization, planning, decision making, conflict management, communication, and fostering team spirit are crucial in Yemen’s construction sector. Recommendations include the development of leadership skills programs, emphasis on collaborative team management, integration of experiential learning in education, continuous professional development, and research initiatives. These insights aim to enhance the resilience and success of construction projects in Yemen and provide valuable guidance to project managers, policymakers, and stakeholders in the sector.

Цифровий інструментарій BIM-менеджменту

Introduction. This article examines the main digital tools of BIM management, their functionality and impact on construction project management processes. Current trends in the development of BIM tools, as well as their importance for the future of the construction industry, are considered. Problems. The introduction of BIM (Building Information Modeling) was a revolutionary step in the construction industry, but with it came new challenges related to the adaptation and use of digital BIM management tools. One of the key problems is insufficient standardization and integration of various software products, which leads to information fragmentation and complicates interaction between participants in construction projects. Many companies face difficulties in the integration of different BIM tools due to the lack of a unified information environment and standardized processes. The second important problem is the lack of proper qualifications and knowledge in the field of BIM management among construction industry specialists. The low level of digital literacy and shortcomings in the training of specialists slow down the process of introducing innovative technologies, and also reduce the effectiveness of using digital tools. This is especially true for small and medium-sized companies, which often do not have the resources to train staff or purchase expensive software.

Agile project management for sustainable residential construction: A study of critical success factors

Sustainability principles should be incorporated into all decision-making stages for residential construction projects to ensure maximum revenue while maintaining essential residential building services. This study identifies and analyzes the critical success factors (CSFs) necessary for implementing agile project management (APM) in residential construction projects. Data were collected from 120 professionals in the Nigerian construction industry through questionnaire surveys to understand the implementation of APM. The CSFs were obtained from previous research and analyzed within the specific context of the Nigerian construction industry through questionnaire surveys. The CSFs were grouped into two main categories using exploratory factor analysis: dynamic project optimization and agile project foundations. The model for the CSFs was developed using partial least squares structural equation modeling. The study found that the dynamic project optimization element had the most significant impact on the model, highlighting its importance as a key CSF in APM implementation. These results support the adoption of APM within Nigeria’s construction industry as stakeholders and professionals seek effective strategies to reduce costs and improve sustainability.

A Survey of Data-Driven Construction Materials Price Forecasting

The construction industry is heavily influenced by the volatility of material prices, which can significantly impact project costs and budgeting accuracy. Traditional econometric methods have been challenged by their inability to capture the frequent fluctuations in construction material prices. This paper reviews the application of data-driven techniques, particularly machine learning, in forecasting construction material prices. The models are categorized into causal modeling and time-series analysis, and characteristics, adaptability, and insights derived from large datasets are discussed. Causal models, such as multiple linear regression (MLR), artificial neural networks (ANN), and the least square support vector machine (LSSVM), generally utilize economic indicators to predict prices. The commonly used economic indicators include but are not limited to the consumer price index (CPI), producer price index (PPI), and gross domestic product (GDP). On the other hand, time-series models rely on historical price data to identify patterns for future forecasting, and their main advantage is demanding minimal data inputs for model calibration. Other techniques are also explored, such as Monte Carlo simulation, for both price forecasting and uncertainty quantification. The paper recommends hybrid models, which combine various forecasting techniques and deep learning-advanced time-series analysis and have the potential to offer more accurate and reliable price predictions with appropriate modeling processes, enabling better decision-making and cost management in construction projects.

Engendering project management competencies in Saudi Arabian construction professionals

Purpose Persisting construction performance shortcomings in the Saudi Arabian construction industry requires engendering project management competencies in construction professionals’ roles and responsibilities. The purpose of this study was to determine significant construction project management competencies for Saudi Arabian construction professionals. Design/methodology/approach A cross-sectional questionnaire survey used project managers’ competencies from the literature. Construction professionals participated in the survey. Normalisation was used to determine the critical individual competencies. Statistically significant differences due to designations and organisations were analysed. Factor analysis revealed the relationships among significant competencies. Findings The most critical individual competencies included communication, team building and leadership skills. However, Project managers and all other construction professionals had statistically significant differences in insights on some of the critical competencies. The results revealed seven components: behaviour and attitude-related competencies; fundamental project management-related competencies; pro-active, knowledge and creativity-related competencies; political and organisational-related competencies; stakeholder management and experience-related competencies; management-related competencies; and confidence, commitment and negotiation-related competencies. Research limitations/implications Evidently, inculcating project management competencies is essential for construction professionals to enhance project performance. The failure to get insights from the National Project Management Office officials was a limitation; however, views from construction professionals were sufficient as they are the most affected stakeholders. Originality/value The study determined project management competencies necessary for Saudi Arabian construction professionals to improve their project delivery performance.

PRODUCTIVITY IMPROVEMENT MODELS IN CONSTRUCTION PROJECT MANAGEMENT

The relevance of the research topic is due to the increasing complexity of construction projects, stricter requirements for deadlines, quality of work, as well as increased competition in the relevant industry. In the current conditions, traditional management methods often turn out to be ineffective, which leads to deadlines, budget overruns, and a significant decrease in the quality of construction. The purpose of the study is to analyze and systematize ideas about modern models of productivity improvement in construction project management, as well as to assess their potential impact on key performance indicators of projects. Special attention is paid to the formulation of the author's view of the advantages and limitations of specific models. The study revealed contradictions between the need to introduce innovative approaches to working with projects and the conservative practices that have developed in the industry. In addition, it is advisable to point out the discrepancy between the pace of development of digital technologies and the speed of their adaptation in the construction sector. It is concluded that integrated models combining elements of flexible methodologies, digital developments, and Lean approaches are the most effective. The role of digital twins, predictive analytics, and blockchain in improving productivity in this area is particularly emphasized.

Reducing Contract Disputes: A Comparative Analysis of FIDIC and GCC Standard General Conditions of Contract for Construction Projects

Contractors working in foreign countries face challenges and disputes due to differences between customized general contract conditions and the standard conditions of Fédération Internationale des Ingénieurs-Conseils (FIDIC) contracts. In the Gulf Cooperation Council (GCC) region, these conditions are primarily FIDIC-based but customized to local laws and practices. This study addresses the gap in understanding how these customizations impact contract administration and aims to minimize conflicts. The research compares FIDIC clauses on "Commencement, Delay, and Suspension," "Variation and Adjustments," and "Claims, Disputes, and Arbitration" with GCC standard clauses, focusing on party roles, time restrictions, repercussions, and entitlements. Using a comparative analysis methodology, the study examines contract documents and legal frameworks across GCC countries. Key findings reveal that late commencement notices can lead to significant delays and damages, with varied implications across Kuwait, Qatar, and the UAE. Additionally, contractors might incur costs for engineering services during delays. Variation and dispute procedures vary, with Kuwait, Qatar, and Saudi Arabia favoring litigation, while Bahrain, Oman, and the UAE prefer arbitration. This research enhances understanding of the key differences between adopted and standard contract provisions, offering insights to better manage construction projects in the GCC region.

Primjena ekspertnih sustava u građevinarstvu

Expert systems represent “IF-THEN” algorithms that integrate human expert knowledge to solve complex problems. This area of research focuses on finding solutions to challenging situations that are often difficult to resolve using traditional methods. Expert systems have widespread applications in the field of construction. The paper presents some of these applications, including their use in building maintenance, inspection of water and sewage systems, geotechnical engineering, road maintenance, and the selection of appropriate construction materials. Artificial neural networks are effective in optimizing financial plans, estimating the duration of activities, assessing the productivity of work teams, and selecting contractors. Genetic algorithms find their application in resource allocation, selecting optimal solutions for task scheduling and project costs, as well as in building maintenance, while fuzzy logic aids in risk analysis, project management, and cost estimation. Expert methods can be integrated into information systems to provide consistent information necessary for the effective management of construction projects. A review of published papers on the application of expert methods in construction shows that these methods are already significantly represented across all sectors of the construction industry, but also indicates that there are still substantial opportunities for their future application.

Ethical VS abusive leadership: How construction project manager influences workers’ safety behavior with the mediating role of alcohol use and moderating role of alcohol climate

Ethical VS abusive leadership: How construction project manager influences workers’ safety behavior with the mediating role of alcohol use and moderating role of alcohol climate