Execution Of Construction Projects Research Articles

A Multicriteria Approach for Landslide Hazard Zonation in the Lesser Kumaun Himalaya

ABSTRACTThe socioeconomic prosperity of a region is intricately tied to its infrastructure development, particularly the connectivity provided by highways. Preserving the economic well‐being of an area demands meticulous planning and the execution of construction projects with minimal risk. Landslide hazard zonation (LHZ) is a crucial tool for assessing the likelihood of landslide occurrences in specific regions. This study delves into the LHZ of a 171.2 km2 area, focusing on critical causative factors such as slope inclination and aspect, slope mass material, Land Use/Land Cover (LULC), distance from fault lines, roads, and drainage systems. The classification resulted in four distinct zones along the National Highway (NH‐109) stretch from Bhowali to Almora. Notably, the moderate‐hazard zone encompasses 60.4% of the area, followed by the high‐hazard zone at 24.4%, the low‐hazard zone at 11.9%, and the very high‐hazard zone at 3.3%. To enhance the reliability of the study, 63 previously identified landslide locations were marked based on diverse sources, including field studies and landslide inventory data from the Geological Survey of India (GSI). In the validation process, 12 past landslide occurrences were situated within the very high‐hazard zone, 32 in the high‐hazard zone, 18 in the moderate‐hazard zone, and only one in the low‐hazard zone. The receiver operating characteristic (ROC) curve yielded a commendable quality with a % area under the curve (AUC) of 71.2%. In summary, this research underscores the importance of LHZ in assessing and mitigating landslide risks along a stretch of the NH‐109 corridor. The findings provide valuable insights for informed decision‐making in infrastructure development and risk management, contributing to the sustainable growth and protection of the region's livelihood.

IMPACTO DO PLANEJAMENTO E GESTÃO NA CONCLUSÃO DE OBRAS: ESTUDO DE CASO DE UMA CONSTRUÇÃO EM ILHÉUS-BA

This study aims to investigate the performance of a project in the municipality of Ilhéus-BA, with emphasis on the Scheduled Percentage Completed (PPC) and the main justifications for not meeting weekly targets. Using descriptive observational research with a qualitative and quantitative approach, data collection was carried out over 34 weeks, with information recorded in a spreadsheet developed to monitor progress and identify deviations. The results showed that only 5 of the 34 weeks managed to reach or exceed the PPC index of 75%, with an overall average of 62%. The study seeks to highlight the importance of having more effective planning and improved resource and team management. It is recommended to implement a more efficient supply management system and strategies to ensure team continuity and qualification. These findings provide valuable information to promote continuous improvement in the execution of construction projects, helping to mitigate delays and optimize the achievement of targets in future projects.

Integration of parametric design tools with artificial intelligence in the construction industry - a review

Background: Technology continues to reshape the design and execution of construction projects in today's global scenario. Objective: The objectives of the research are focused on providing insight into the most prominent Parametric Design (PD) tools in the construction sector, accurately identifying the Artificial Intelligence (AI) techniques and algorithms used in the PD of buildings and structures, and prominently highlighting the benefits derived from the collaboration between these tools and AI in the context of construction. Methods: The present review is carried out using the Prisma methodology, with a specific search string, and applied to the determined scientific databases, between the years 2015 and 2023 and using exclusion and inclusion criteria. Results: The research concludes that the integration of parametric tools and AI, with special attention to Rhinoceros 3D + Grasshopper, has a significant impact on building through adaptive and complex models. Collaboration with artificial neural networks (ANN) and convolutional neural networks (CNN) enables detailed simulations and automations. Conclusions: The benefits are numerous: optimized designs, automation, improved quality and efficient decision-making, all of which drive innovation in construction projects.

Leveraging Technology to Improve and Streamline Operations in the African Construction Sector: A Case-Based Approach

The advent of innovation in tools, materials and techniques has transformed the planning, management and execution of construction projects. Globally, the construction sector has been embracing digital technologies to enhance efficiency, reduce cost and ensure sustainability to overcome challenges and meet evolving demands in the industry. Using a case-based approach, this study shows instances from South Africa of how the construction process is being revolutionised through the deployment of cutting-edge technologies to improve and streamline operations. The approach provides an introductory background on how technology has affected construction with an extensive literature review providing clarifications and insights on construction activities, processes and key technological advancements, in addition to highlighting their importance. Findings from the cases revealed that the projects deployed one or more forms of project management software, such as RIB Software, Autodesk Revit, Primavera P6, Microsoft Project, Procore, and Aconex. It was further found that these deployments enhanced collaboration and communication, improved design coordination and clash detection, and enabled efficient resource allocation and project planning among stakeholders. The study concludes that construction activities play a key role in economic development. Sustainable construction practices would require the adoption and implementation of state-of-the-art technological solutions in the 4th Industrial Revolution that will aid the totality of construction management processes. As evidenced in the various projects, the effectiveness of construction management software in streamlining the construction process is a testament to the critical role of technological advancement as a driver of sustainability.

ANALYZING THE IMPACT OF CONSTRUCTION DELAYS ON DISPUTES IN INDIA: A STATISTICAL AND MACHINE LEARNING APPROACH

In Major construction projects execution and performance were being negatively impacted by claims and disputes in terms of cost overrun, quality, stakeholders relationships, and productivity. Therefore understanding the significance of underlying the claims is essential. In this study, the primary root causes behind delay claims and disputes in construction projects were identified, examined, and rated. The significance of these factors was assessed using Relative Importance Index (RII) values. In addition, a machine learning model employing the Random Forest Genetic Algorithm (RFGA) was implemented to foresee the related risks and ascertain their levels. In a pilot survey, the data were collected across multiple construction projects at different phases such as scrutiny stage, design and planning stage, bidding stage, operation stage, and maintenance or after-construction stage. From Relative Important Index values from the statistical approach, it emerges that delay claims are generally causes from the owner followed by project-specific activities. Delays in processing bill payments, natural disasters, lack of contract awareness, and delay in final bill payment are the top causes of delay claims which converted to conflicts and disputes in mostly operating stage. The Random Forest Genetic Algorithm model predicted that factors like altering the original design, reluctance to cooperate by contractor, and increase of wages have lower risk whereas factors Poor site conditions, delay in approvals of schedules and change orders, natural calamities, late in running bill payment, repetition of work due to error in original work are at higher risk in terms of conflict and dispute. The model gives an accuracy of 0.89 and 0.87 for training data and testing data. The study will highlight possible research avenues and enhance project management strategies so that the project succeeds its goal.

Evaluating the Application of Construction Projects Management Methodologies during Construction Projects Execution in Charities Organization

Over the past four decades, particularly in the Arabian Gulf region, there has been a significant increase of non-governmental charitable institutions leading to a wide spread of their humanitarian assistance, social services and diverse construction projects in impoverished and developing countries. Successful implementation of charitable construction projects requires proficient leadership, administrative accumen, and scientific expertise to achieve project objectives in terms of scope, time, cost and quality. This study delves into existing research on extrapolation, utilizating both quantitative and qualitative approaches using digital statistical analysis. By examining all the resolution points and axes, a set of essential criteria has been identified. The criteria can be considered as successful benchmarks for charitable organizations aiming to enhance the implementation of their construction projects.

Implementasi Building Information Modeling (BIM) terhadap Mutual Check 100 pada Pekerjaan Struktur Proyek Rusun Asrama Polisi Pingit Yogyakarta

Along with the development of Industry 4.0 technology, Building Information Modeling (BIM) has emerged as an innovation in planning, designing, and executing construction projects. BIM is a technological concept with methods and workflows based on project work information, all integrated into a digital model, which is then translated into a three-dimensional representation to enhance building design and construction productivity. In the Police Dormitory Apartment Project in Pingit, the need for quick and accurate calculations, cost projections, and volume of structural work is crucial. This can be easily realized through the application of Tekla Structures Building Information Modeling (BIM). It is expected that there will be a clear depiction of how BIM-based construction technology can be effectively utilized in this project. The method used is the BIM method with Tekla as the supporting software. From this modeling, it was found that the total cost of foundation work had a cost difference of IDR 19.973.729,42, which is 1,63%; the total cost of pedestal column work had a cost difference of IDR 13,713,600.03, which is 6,37%; and the total cost of sloof work had a cost difference of IDR 14.423.328,99, which is 6,06%. The total cost difference for all structural work on the foundation, sloof, and pedestal column was IDR 48.110.658,44, which is 2.86%. This suggests that the cost calculations using Tekla Structures are smaller compared to the MC100 work quantity.

Evaluating the effective factors of BIM for enhancing the construction interface management

Maintaining the proper interface management among the construction stakeholders is becoming more crucial due to the interconnected nature of construction work. Adopting and implementing building information modelling (BIM) technology can aid in the proper execution of construction projects. Therefore, the main goal of this study is to evaluate the effective factors of BIM using DeLone and McLean’s (DM) model. The DM model's factors evaluate the system or technology in terms of system quality, information quality, service quality, and most importantly, the system's net benefits and user satisfaction. The questionnaire was developed with the expert's opinion and the survey was conducted. As megaprojects have more complicated and various levels of information sharing, this study targeted collecting responses from industrial project practitioners in India. From the survey, a total of 166 responses were obtained. Using these data, the frequency test, reliability test, and the relative importance index (RII) were performed. These effective factors of BIM contribute significantly to project performance improvement through proper interface management and communication among stakeholders. The findings of the study emphasized the importance of user satisfaction and the net benefits of BIM. Thus, this study provides further insights to increase the adoption and implementation of BIM technology.

Combining BIM and Strategic Management for Efficient Planning and Execution of Construction Projects

Construction projects are faced with a range of challenges. These can be addressed significantly by combining Building Information Modeling (BIM) and strategic management (SM) right from planning to execution phases of construction projects. This study argues that these two problem-solving mechanisms can be leveraged in combination for the attainment of efficient planning and execution of construction projects. It draws evidence from secondary data, sourced from the internet and subjected to systematic review and thematic and content analyses. The descriptive analysis done proves BIM and SM to be indeed capable of ensuring efficient planning and execution of construction projects, when duly deployed and the constraints to their application tackled sufficiently. The study concludes that the combination of BIM and SM produces more results and guarantees efficient planning and execution of construction projects much more than when either of them is used alone. Organizations and institutions are charged to resort to combining these strategies as well as others in finding solutions to problems such as those confronting construction projects.

Integration of facility manager in planning, design, and execution of construction projects

Integration of facility manager in planning, design, and execution of construction projects

Artificial Intelligence in the Effective Execution Process of Construction Projects in the Future

The construction industry currently constitutes 13% of the global gross domestic product (GDP), with projections indicating an 85% increase in value to $15.5 trillion by 2030. The widespread adoption of information technology (IT) has significantly enhanced the integration of disparate data in construction project environments. Consequently, the construction sector including full construction value chain, is undergoing a transformative phase. The increasing investment in artificial intelligence (AI) makes it impossible to keep pace with its rapid advancements. Hence, this study aims to examine the role of AI in facilitating the effective execution of construction projects in the future. This research employs a document analysis approach and scrutinizes 20 relevant papers from both domestic and international scientific databases. Methodologically, this study adopts an applied research approach, and based on the method of data collection, it is considered a descriptive survey method. Therefore, a questionnaire was designed and distributed among 100 experts and practitioners familiar with AI concepts in Tehran for data collection to conduct a census-style field study. Subsequently, Smart PLS software was employed for data analysis. The findings not only validate the model's reliability, validity and fit but also present solutions and pertinent issues related to challenges concerning AI future role in enhancing project execution efficacy.

Analysis Study of Change Contract Order (CCO) Management on Construction Project Implementation Performance in Central Lombok Regency

In construction projects, both in the public and private sectors, the occurrence of risks, such as Contract Change Orders (CCOs), is common, posing challenges to project implementation. CCOs, reflecting uncertainties in project execution, can manifest at any stage of the project, from inception to completion. Within the construction projects undertaken by the Central Lombok PUPR Office, serving as the project owner, organizer, or government project stakeholder, CCOs frequently occur, indicating a significant area of concern. This study aims to identify the primary causal factors and influences of CCOs through the utilization of questionnaire surveys, bolstered by statistical analysis employing SPSS for Windows. Our findings reveal that the predominant causal factor contributing to CCOs is the 'increasing volume according to field needs,' representing 6.61% of the total factors identified. Furthermore, the influence of CCOs on project performance is notably impacted by 'increasing daily production,' accounting for 17.4% of the total influence observed. This research not only sheds light on the specific factors driving CCOs but also underscores their implications for the successful execution of construction projects in Central Lombok Regency. By understanding these dynamics, stakeholders can implement proactive measures to mitigate risks, enhance project management practices, and ultimately improve project outcomes.

Determining Time for completion Construction Projects Using Time List

The main text of civil contracts consists of three main parts: the contract’s subject, the contract’s amount, and the contract’s time. Various techniques are used to specify the amounts of civil projects. The most conventional method is using basic price lists published by Iran’s Planning and Budgeting Organization. By the end of the second phase of studies and design and following the completion of all maps and execution details, as well as the specification of the materials to be consumed, the consulting engineer initially determines the volumes of all executive operations from the map and then uses the prices of the items contained in the price lists published by the organization mentioned above to specify the execution price of each of the working items. In the end, the engineer sums up the costs of executing the items and applies the overhead factor to specify the cost of executing the project to initiate the process of tender. To determining time for completion the construction project, however, there is no computational technique, and the [time for completion process] is usually performed by the order of the employer or by taking into consideration the construction time of similar projects by the consulting engineers. One of the techniques to schedule the project is to use the critical path network technique. Project execution time is the sum of the time allotted to perform various working packages within a critical path. The duration of each work package can be determined by using the items that make up that work package. The time to execute each working item involves a probable distribution similar to a normal distribution, and the most probable time to execute an activity is in the middle of a probable distribution diagram. In the schedule, the duration of the execution of each work package is determined by using the previous experiences of the experts. According to Goldart, when people are asked to estimate the timing of an activity, they apply a safe time to insure themselves against unforeseeable events, though they can perform their activities at shorter times, also .In this study, to determine the execution time of each item included in the price list, the item price breakdown tables that have been published by the Program and Budget Organization have been used, and a list similar to the price list called the time list has been proposed, with the difference that For each item, instead of the implementation cost, the implementation time of that item is included according to the unit of that activity. First, the time list for building items, the price list of mechanical facilities and the price list of electrical facilities have been extracted, and then by using them, the execution time of the items of each work package is determined according to the amount of each item and the number of available resources, and the total times The implementation of work packages is the critical time of project implementation. Finally, the sum of times allotted to execute working packages will be on the critical path of project execution time. It was concluded that time for completion construction project execution by the time list showed a 22.6% reduction [in execution time] compared to the time prediction technique using expert experiences.

Construction Waste Management from Environmental Law Perspective in Indonesia

Several prior studies have linked the relationship between construction activities and environmental degradation. This research focuses on one of the major issues confronting the Indonesian construction industry, namely construction waste management. In practice, construction waste cannot be avoided and thus must be managed properly. Using a descriptive normative legal study approach and a case approach, this research seeks to investigate the practices and conditions of construction waste management as well as the regulatory legal framework related to construction waste management in Indonesia. This study found that the practice of implementing construction waste management varies greatly depending on the understanding and skills of construction business actors, especially contractors and subcontractors. In addition, normative studies show that there is no regulation that specifically regulates the management of construction waste in Indonesia. Therefore, this research contributes by: (1) encouraging the government to make policies that specifically regulate construction waste management, (2) encouraging periodic monitoring and supervision efforts on the implementation of construction waste management, and (3) encouraging the active participation of the community to participate in supervising the execution of construction projects, especially regarding the management of construction waste. Therefore, this study emphasizes the importance of a legal framework for construction waste management in order to realize sustainable construction.

Sustainability-Based Value Engineering Management as an Integrated Approach to Construction Projects

The integration of sustainability standards and value engineering methods in public education projects is a significant concern, as it ensures the well-being and sustainability goals of students, lecturers, and employees. This study aims to enhance sustainability within public education campuses by utilizing value engineering processes that establish a balanced correlation between the available budget costs and the sustainability costs that affect educational objectives, strategies, and the overall sustainability of the environment. In order to evaluate the integration of value engineering and the sustainability rating system “LEED protocols” for schools, the study utilized HAP (Hourly Analysis Program) software to perform numerical analysis, with the objective of improving environmental efficiency and cost-effectiveness in school buildings from the perspective of both male and female students. By applying this approach to all engineering disciplines, systems, and materials involved in the project, the study achieved impressive results, including a reduction in energy usage by 53.67%, a cost reduction of 27.48% from the total project budget, and 13 points earned in credit C1 and credit C2 in the Energy and Atmosphere EA category in LEED 2009. These findings are of great importance for the planning and execution of construction projects, specifically in the context of educational infrastructure, and provide valuable insights into the construction and renovation of school buildings, which can be used to enhance the safety, functionality, and aesthetic appeal of these facilities.

Analysis of Implementation Factors and Constraints of Occupational Health and Safety in Multi-Story Building Construction Projects

The implementation of occupational safety and health is one of the key factors in construction project execution, and fundamentally, construction projects involve many hazardous elements. This research aims to analyze the implementation factors and challenges that occur in the application of occupational safety and health (OSH) in high-rise building construction projects by distributing questionnaires to contractors and consultants to obtain data for subsequent analysis. Based on data analysis, nine implementation factors and obstacles in OSH application in building projects were identified, namely workplace safety in the project (X1), equipment and work attire (X2), fire safety (X3), protection of the public (X4), worker health (X5), worker communication (X6), general factors (X7), obstacles from the company's perspective (X8), and obstacles from the worker's perspective (X9). These results were then tested for validity and reliability to determine their validity and reliability, and they were analyzed using descriptive analysis and Pearson correlation analysis. The results of the descriptive analysis indicate that the highest or most frequently implemented OSH factor is the protection of the public (X4) with a mean value of 3.725 and a standard deviation of 0.459. Among the obstacles to OSH implementation, the highest or most frequently occurring factor is the obstacles from the company's perspective (X8) with a mean value of 3.620 and a standard deviation of 0.500. The results of the Pearson correlation analysis show that equipment and work attire (X2) and protection of the public (X4) have the highest correlation value, which is 0.825, indicating a very strong relationship.

Integration of Augmented Reality and Building Information Modeling for Enhanced Construction Inspection—A Case Study

This research addresses a significant challenge in the construction industry: the traditional reliance on CAD drawings and manual methods for building inspection and monitoring. This article presents a transformative proposal utilizing Augmented Reality (AR) to revolutionize these processes. The proposed model is based on an innovative integration of AR technology with Building Information Modeling (BIM), aiming to enhance data life-cycle management and improve the efficiency of construction management practices. The main goal of the article is to demonstrate the practical feasibility and benefits of this AR-BIM integration in construction management, particularly in the realms of inspection and monitoring. This involves developing and testing an accessible, user-friendly, and affordable AR application prototype for mobile devices, employing multiple markers, as a potential replacement for traditional methods. The research methodology comprises five phases, starting with the conversion of 2D CAD drawings into 3D BIM, followed by the simulation of AR-BIM integration at a construction site using a commercial AR application. This is succeeded by assessing the applicability of the commercial AR app and developing a multiple-marker AR application prototype suitable for general platforms. The final phase encompasses the testing and evaluation of this prototype. The findings suggest that the integration of 3D BIM with AR technology is not only feasible, but also beneficial in replacing paper-based processes, thereby enhancing information sharing, communication, and overall project execution efficiency. However, the accuracy of the superimposition between virtual and actual objects needs improvement to reduce discrepancies between as-built and as-planned scenarios. These results hold significant potential for transforming construction project execution by replacing traditional methods with more efficient digital solutions. Future research directions include extensive testing in various construction scenarios, improving model complexity handling, exploring the application of machine learning algorithms for data analysis, and expanding the study to encompass other stages of the construction lifecycle.

DEVELOPMENT OF GENERAL METHODOLOGICAL REQUIREMENTS FOR THE IMPLEMENTATION AND CONSTRUCTION OF TOOLS FOR ORGANIZATIONAL-TECHNOLOGICAL SUPPORT OF CONSTRUCTION PROJECTS

The article is devoted to the introduction and substantiation of an innovative methodological platform and scientific and applied tools, which are designed to ensure the successful administration of operational activities and the growth of qualifying assets of the enterprise-developer in construction as project management (as part of the enterprise's multi-project business portfolio) and administrative-regulatory activities in the micro-environment of institutional sub- construction sites and stakeholders. The rapid complication of construction production systems causes an increase in the number of sequentially connected elements (crews, mechanisms, vehicles, suppliers, etc.), which, according to the basic law of reliability theory, reduces the reliability of the entire system in proportion to the number of elements in a geometric progression. Consideration of reliability as the stability of numerous specific qualities of building systems in relation to all possible deviations of the given mode of operation of the system requires system-technical design, manufacturing, construction, operation and other stages of the life cycle of building systems. Most often, the definition of the roles of project executors corresponds to the life cycle model. On the basis of the methodology, as introduced in accordance with the new ideas about the essence of the developer's operating system in construction, a new scientific and applied toolkit for the administration of the operational activities of the enterprise executing construction projects and its transformations based on the application of modular construction technology - prefabrication was developed and substantiated. Prefabrication is the preliminary production of building structures in industrial production. Prefabricated structures are delivered to the construction site and used in the construction process. This approach to construction has been revolutionary because it enables standardization, increased quality control, and reduced overall construction time.

Selection Criteria for Named Subcontractors: Case Study of a Building Project

The execution of construction projects involves many parties, one of which is subcontractors. In general, subcontractors can be divided into three types, namely domestic subcontractors, nominated subcontractors, and named subcontractors. Many studies have been carried out regarding the first two types of subcontractors, but studies related to named subcontractors are scarce. In contrast to nominated subcontractors, named subcontractors are selected by the main contractor based on a list of subcontractor names provided by the employer. This research aims to identify the criteria in selecting named subcontractors by the main contractor. This research applies a qualitative method approach with integrative literature review and interview techniques. The results show the company's experience, financial capabilities, technical capabilities, resource factors, and offer price factors as important selection criteria. This research contributes to the body of knowledge considering that there are still few studies on named subcontractors, especially regarding its selection criteria by the main contractor.

Contribution of the real estate sector in the city of esmeraldas: a sustainable and sustainable vision

The study analyzes the factors that contribute to the sustainable and sustainable development of the real estate sector in the city of Esmeraldas, in terms of employment generation, investment promotion, sustainable urban development and tax revenue generation. Therefore, the research focused onto analyze the contribution of the real estate sector in the city of Esmeraldas towards a sustainable and sustainable vision . The study was based on the type of documentary research, which allowed to deepen the most relevant findings on the contribution of the real estate sector to boost the local economy. Among its derivations, it is highlighted that the real estate sector in Esmeraldas is channeled in the construction of properties oriented towards the sale and rental of real estate, experiencing significant changes in the period 2015-2021, with a gradual increase in the execution of construction projects supported by public and private investment, allowing the local economic reactivation and contributing to sustainable development, valuing and promoting the competences of the local economy.