International Journal of Innovative Research in Computer Science and Technology, 2025
Quality in construction projects is important in terms of providing safe, durable end products at... more Quality in construction projects is important in terms of providing safe, durable end products at an economical cost, but evaluation of the efficiency of Quality Management Systems (QMS) is a long-standing incongruent issue due to haphazard measures and various implementation processes. The present paper will explore QMS effectiveness in the construction sector by conducting a literature and industry review to determine the outcomes of performance and identifying factors that lead or contribute to success or failure. The goals of the study include assessing the average QMS elements, such as ISO 9001 guidelines and TQM operations, gauging performance through metrics, including defect elimination, cost reduction, and conformity rates, and proposing the strategies to improve the performance of the system. The paper takes a statistical approach to designing the research findings using data aggregated in peer-reviewed journals and reports in the industry. Findings indicate QMS results in 15-25 percent defect eliminated and 10-15 percent cost savings and leadership and training are the main facilitators albeit obstacles remain such as resource insufficiency. The work will also provide construction professionals with a useful reference point in terms of assessing the effectiveness of QMS, facilitate the compatibility when applied together with information technology such as BIM, and facilitate a more sustainable activity by avoiding unnecessary pieces of work on rework.
The uncertainties (e.g. altering labor
productivity, weather changes, material shipment delays,
a... more The uncertainties (e.g. altering labor productivity, weather changes, material shipment delays, and site-based conditions) have been the root causes of the construction industry continuously struggling to perfectly estimate the durations of activities, which are expected to be properly planned, scheduled, and will thereby control the cost of a project. Conventional approaches that involve probabilistic assessments such as Critical Path Method (CPM) and Program Evaluation and review techniques (PERT) use fixed or constrained probabilistic estimations, and frequently do not consider the range of expert opinion or arrive at a consensus of uncertain time parameters. This paper will utilize a Delphi method that is a systematic, iterative process used to elicit and hone the views of the experts to come up with a collaborative approach to estimating the time taken by construction activities. The tasks are as follows: to carry out a Delphi survey of the experienced construction professionals in a series of rounds and reach the consensus on the likely ranges of project activity durations, and also test the technique by using a case study of a building construction project. Three surveys of anonymous panel of 12 experts (with more than 10 years of experience) were implemented, including the openended estimates, statistical feedback and revisions until the consensus was achieved (coefficient of variation was less than 15 per cent). The estimated duration based on the case study outcomes was refined down to 7 days to 13 days during foundation excavations (median: 10 days) and labor availability was used as the reason (35% weight). The Delphi method also proved more accurate since it yielded tighter ranges and smaller variance of schedules by 15 percent compared to PERT in the case study. Several factors combine in this research to give an easy-to-use and consensus-based method of duration estimation, and consequently improving risk management and schedule accuracy. It provides construction managers practical knowledge to make informed decisions regarding resource planning, facilitates the union with digital planning software, and encourages efficiency within an ecosystem where delays occur in more than 70 percent of projects creating resilient and sustainable project execution.
International Journal of Innovative Research in Computer Science and Technology, 2025
The construction industry is the key to the infrastructure development around the world; however,... more The construction industry is the key to the infrastructure development around the world; however, it is often faced with uncertainties that interfere with the implementation of projects and cause inefficiencies. The correct estimation of the production rate of the activities, i.e. the amount of output that can be produced in a particular suggested unit time or resources, in cases like excavation, pouring concrete or installing steel is vital to robust project planning, scheduling and cost management. The traditional deterministic methods that presuppose the existence of fixed input such as historical averages or expert opinions, do not usually reflect the dynamic variation of the construction settings. Issues like variable labor productivity, variable supply of materials, weather issues and site constraints add much risk into the equation and result in delays and cost overruns on around 70 percent of projects globally. The paper offers solutions to these problems as it is based on creation of very advanced model that uses simulation method due to estimation of likely rates of production taking probabilistic factor to reflect complexities that exist in the real world. The key aims are to create a Monte Carlo simulation framework that will simulate rates of production under uncertainty and show its accuracy with historical data of a project and to assess the effects on important project cost and time metrics. The model was developed in Python with the help of libraries like NumPy which is used to perform numerical calculations and statistical analysis performed using SciPy. The model uses probability distributions (exemplified by a triangular probability distribution applied to chooses labor productivity and a normal probability distribution applied to weather delays) to simulate thousands of iterations. The results/outputs contain average levels of productions, confidence intervals, risk profile, which gives an overall idea of the results that can be obtained. The utility of the model is demonstrated by a case study of a mid-scale commercial building project which indicates that uncertainty effects can change the rate estimates of production by up to 25 percent in cases where the deterministic models are used. Sensitivity analyses allow pointing out important sources of uncertainty, including factors like labor variation and delayed materials so that risk mitigation activities can be purposefully focused. Findings are an improvement in the predictive accuracy with the mean absolute percentage error being less than 10 percent when compared to historical data as compared to traditional methods. The implications of the model include better resource assignment, intelligent choice, and a 15-20 percent decrease in project risks so that there is efficiency and cost effectiveness. Filling the gaps in probabilistic modeling, the work proposes an efficient user-friendly instrument to practitioners and researchers in the construction domain since it is scalable, consistent with the trend toward digitalization of construction industry in projects with Building Information Modeling (BIM) and documents the nature of the project through data-driven management, which can promote sustainable approaches.
International Journal of Innovative Research in Engineering and Management, 2025
Efficient scheduling is critical in roadwork projects to meet the dual objectives of time and cos... more Efficient scheduling is critical in roadwork projects to meet the dual objectives of time and cost optimization. Traditional methods such as Critical Path Method (CPM) and Program Evaluation Review Technique (PERT) have demonstrated limitations in handling the sequential and spatial nature of linear projects like road construction. This research investigates the application of Linear Scheduling Methods (LSM) in enhancing project efficiency, focusing on its impact on time and cost management. Using a mixed-method approach, the study analyzes real-world data from a recently completed highway project in Tamil Nadu, India, and employs simulation models to evaluate production rates and buffer distances. The findings highlight significant reductions in project delays and cost overruns through streamlined resource allocation and activity synchronization using LSM. However, challenges such as limited technical expertise and resistance to adoption persist. Recommendations include integrating advanced technologies like artificial intelligence and predictive analytics to further enhance LSM capabilities. This study underscores the potential of LSM to revolutionize project management in road infrastructure, offering scalable solutions for global applications.
International Journal of Innovative Research in Engineering and Managemen, 2025
Linear Construction Methods (LCM) have emerged as a transformative solution for managing linear p... more Linear Construction Methods (LCM) have emerged as a transformative solution for managing linear projects such as road infrastructure, offering significant advantages over traditional scheduling methods like the Critical Path Method (CPM) and the Program Evaluation and Review Technique (PERT). Despite their potential to streamline scheduling, optimize resources, and reduce costs, the adoption of LCM faces several challenges. These include technical barriers, limited expertise, resource constraints, stakeholder resistance, and the lack of supportive policies, especially in developing regions. This research investigates these challenges while exploring innovative solutions that enhance LCM’s effectiveness and applicability. The study utilizes secondary data from case studies, such as the Tamil Nadu Highway Project, and expert consensus through the Delphi method to analyze the key barriers to LCM implementation. Innovations like the integration of Building Information Modeling (BIM), Artificial Intelligence (AI), and Internet of Things (IoT) tools are evaluated for their role in addressing these challenges. The findings highlight the potential of LCM to revolutionize road infrastructure development by improving project timelines, cost efficiency, and sustainability. This research provides practical recommendations for engineers, policymakers, and project managers, including structured training programs, policy incentives, and advanced technology integration. The study underscores LCM’s role as a critical tool for achieving efficient, sustainable, and future-ready road infrastructure.
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Papers by AKASH T
productivity, weather changes, material shipment delays,
and site-based conditions) have been the root causes of the
construction industry continuously struggling to perfectly
estimate the durations of activities, which are expected to
be properly planned, scheduled, and will thereby control the
cost of a project. Conventional approaches that involve
probabilistic assessments such as Critical Path Method
(CPM) and Program Evaluation and review techniques
(PERT) use fixed or constrained probabilistic estimations,
and frequently do not consider the range of expert opinion
or arrive at a consensus of uncertain time parameters. This
paper will utilize a Delphi method that is a systematic,
iterative process used to elicit and hone the views of the
experts to come up with a collaborative approach to
estimating the time taken by construction activities. The
tasks are as follows: to carry out a Delphi survey of the
experienced construction professionals in a series of rounds
and reach the consensus on the likely ranges of project
activity durations, and also test the technique by using a
case study of a building construction project. Three surveys
of anonymous panel of 12 experts (with more than 10 years
of experience) were implemented, including the openended estimates, statistical feedback and revisions until the
consensus was achieved (coefficient of variation was less
than 15 per cent). The estimated duration based on the case
study outcomes was refined down to 7 days to 13 days
during foundation excavations (median: 10 days) and labor
availability was used as the reason (35% weight). The
Delphi method also proved more accurate since it yielded
tighter ranges and smaller variance of schedules by 15
percent compared to PERT in the case study. Several factors
combine in this research to give an easy-to-use and
consensus-based method of duration estimation, and
consequently improving risk management and schedule
accuracy. It provides construction managers practical
knowledge to make informed decisions regarding resource
planning, facilitates the union with digital planning
software, and encourages efficiency within an ecosystem
where delays occur in more than 70 percent of projects
creating resilient and sustainable project execution.