Browsing by Author "Radman K"

Now showing 1 - 4 of 4
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    Digital technologies and data-driven delay management process for construction projects
    (Frontiers Media S.A, 2022-12-21) Radman K; Jelodar MB; Lovreglio R; Ghazizadeh E; Wilkinson S
    One of the main challenges of construction projects is managing delays; there is still a lot to overcome to reach near-zero delays (mitigation of delays) in all construction projects. Technology and different platforms are applied to support a high volume of data flow acquired from multiple resources during the construction project life cycle; how can these automated and digital progress tracking systems be considered for more effective construction delay management? The aim is to investigate the current state of real-time technologies and their applications and assess how specific attributes of these disruptive technologies can significantly alter delay management in construction industries. Therefore, this study presents a new process-based framework for using technologies with a data lifecycle viewpoint. This research uses a four-step systematic literature review involving identification, screening, extortion-eligibility check, and selection-inclusion. Furthermore, it is followed up by a thematic content analysis on using new technologies to mitigate delays in construction projects. Key trends, themes, areas of concern for research, and limitations identified in previous literature as research gaps and future needs were documented and structured. This work presents a novel process of comprehensive classification of real-time technologies that are being used in the construction industry to acquire data, screen/analyses data, and present information through an Industry 4.0 application: IoT technologies such as sensors, RFID etc., smartphones, planning/scheduling tools (Ms Project, Primavera), and Building Information Modelling (BIM). The developed process-based framework is served as a roadmap to 1) centralise real-time communication between technologies to collect, analysis and presentation data in construction phase, 2) prepare timely reports for project managers to take proper action against those problems delaying project.
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    Real-Time Project Productivity Tracking System: Practical Case in Smart Construction Projects
    (School of Built Environment, Massey University, 2022-02-17) Radman K; Babaeianjelodar M; Lovreglio R; Wilkinson S; Ghazizadeh E; Shahzad WM; Rasheed EO; Rotimi JOB
    Motivation: The productivity and progress tracking systems are currently used in construction projects to acquire the site works data and converting to various digital reports. Knowledge gap: To date, capturing and transferring data processes are slow or inefficient because significant human errors occur in the process. Therefore, project managers can omit critical information, and no timely decision can be made related to delay and unproductivity. Aim and objectives: The purpose of this paper is to encompass a real-time project productivity tracking system to register data and manage delays related to an Electrical and Instrument service trade involved in smart construction projects in New Zealand. Research method: The paper aimed to review industries delay reports, use expert judgment experience, and compare the proposed method with current ones. Preliminary or anticipated findings: The finding shows the proposed method uses a combination of smartphone and Ms Project real-time monitoring software to optimise the current site reporting procedure and workflow of productivity managing. Research significance: The presented method should help construction decision-makers enhance time and cost-effectiveness and manage delay better alongside more effective decisions. Meanwhile, hours booked to collect data and update programs and models dropped by 24%.
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    Real-Time tracking and analysis in construction projects: A RealCONs framework
    (Elsevier Ltd, 2025-09-01) Radman K; Jelodar MB; Lovreglio R; Ghazizadeh E; Wilkinson S
    Construction projects increasingly rely on processing vast amounts of data from multiple sources, including consultants (BIM), cloud-based project management platforms (e.g., Aconex), planning departments, construction sites, main contractors, and subcontractors. However, inefficiencies in data acquisition and reliance on manual data entry hinder real-time project analysis, delay notifications, and decision-making. This study introduces the Real-Time Data-Driven Construction Project Analysis Framework (RealCONs) to address these challenges by streamlining data flow and enhancing project performance. A comparative analysis used eight case studies four employing the existing approach and four utilising RealCONs—to assess improvements in data integration, early delay identification, and decision-making efficiency. The results, validated through Earned Value Management (EVM) and Earned Schedule Management (ESM) metrics, demonstrate that RealCONs significantly enhance project forecasting accuracy, schedule adherence, and cost management. Additionally, statistical analyses, including the Shapiro-Wilk test and the Wilcoxon Signed-Rank analysis, confirm that RealCONs outperform the existing approach by reducing data collection and decision-making delays, enabling project managers to implement proactive mitigation strategies. These findings highlight RealCONs’ potential to improve project efficiency, reduce costs, and optimise real-time construction management.
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    RealCONs: A Digital Framework for Construction Reporting Accuracy and Early Delay Detection
    (International Council for Research and Innovation in Building and Construction, 2025-05-01) Radman K; Babaeian Jelodar M; Lovreglio R
    Accurate and timely reporting is essential for effective construction project management. However, existing progress tracking systems often face challenges such as delayed reporting, data inconsistencies, and inefficient documentation processes, compromising report accuracy and prolonging preparation times. This study introduces RealCONs, a digital framework for on-site project reporting management designed to enhance construction site real-time data acquisition, project tracking and reporting. The framework integrates the Rational Unified Process (RUP) methodology and Unified Modelling Language (UML) to streamline workflows. A comparative analysis was conducted using case studies from the Electrical and Instrumentation (E&I) trade dataset to evaluate RealCONs' effectiveness in 1) improving daily reports generation speed, 2) Reducing reporting errors, and 3) Improving project performance via early delay identification. A mixed-methods approach was employed to validate RealCONs' objectives, analysing daily reports and their preparation times while utilising Earned Value Management (EVM) metrics to assess the impact of early delay identification on project performance (CPI, SPI). The results demonstrate that RealCONs significantly outperforms traditional methods, increasing total report generation by 32.2%, reducing reporting errors by 84%, and enabling earlier delay notifications. Although developed for the E&I trade, the framework offers scalable applications for broader construction and infrastructure projects facing similar reporting inefficiencies.