Journal of Construction Engineering, Management & Innovation
Delays in construction projects are a common problem around the world, negatively impacting both the project and the people involved; thus, a country's sustainable development depends on the successful completion of construction projects. In the construction management process, time limits have a profound impact on project success. If these time limits are not followed, construction may be delayed or contract parties may lose rights. With this novel model, construction contract parties will be able to track expiration dates carefully in order to avoid forfeitures. A smart email prototype is developed in this study to track time limits and alert parties daily before the expiration date to demonstrate the benefits of smart applications in improving project management processes and performance. Time limits during the tendering phase are examined under nine headings: "tender notices", "assigning a tender commission", "publishing a correction notice", "validity periods for tenders and guarantee letters", "finalizing the tender proceedings", "amending and clarifying tender documents", "signing contracts", "prohibitions and criminal liability", and "complaints or appeals". Smart technologies, such as the one proposed in this research, are being increasingly used in Construction Project Management to facilitate digital transformation, resulting in more efficient and effective projects.
Smart buildings aim to enhance user satisfaction and optimize operations through efficient facility management, employing IoT technology as a key enabler. IoT relies on sensors to collect building data, process information, and trigger actions via actuators. Despite the proliferation of IoT devices, there's a notable absence of a comprehensive framework for smart building management (SBM) in existing literature. While previous SBM frameworks focus on software, network, or data collection aspects, none address the classification of use cases for IoT devices, which form the backbone of these frameworks. The absence of a framework leads to a lack of standardized descriptions and contextual awareness of use cases, hindering research on SBM and its goal of maximizing beneficial outputs. This study addresses this gap by introducing a multi-dimensional conceptual framework for mapping potential IoT device use cases within the context of academic buildings. The proposed framework consists of four dimensions: (1) IoT device name and categorization, (2) Building components, (3) building smartness dimensions, and (4) smart building management objectives. The study provides a detailed visual and textual representation of the framework, which is validated through four use cases, demonstrating its promising applicability in SBM. Initial observations from the framework implementation indicate its effectiveness in mapping existing sensors and identifying new potential use-cases and providing a tool for understanding and advancing the integration of IoT devices in smart buildings. This framework has the potential to serve as a communication tool for fostering collaboration among different research institutes and universities, contributing to the development of strategic SBM research programs.
Işık Ateş Kıral
Because the construction industry inherently contains dangerous practices, safety training has a critical role in preventing accidents and mitigating hazardous outcomes. However, due to the inefficiency of traditional safety training methods and the riskiness of hands-on training, virtual safety practices have great potential to train construction workers. Therefore, this study aims to investigate the effectiveness of virtual safety exercises, comparing the workers’ safety awareness on real and virtual construction sites utilizing eye-tracking technology. Eye-tracking data collected from eleven workers during the experiments in the real and virtual construction sites were analyzed using three main eye-tracking metrics, namely total fixation duration, first fixation duration, and time to the first fixation. The result of the study showed that the workers’ time to first fixation duration in the real site is significantly lower than in the virtual environment (Z = -4.18, ρ < 0.05), which means that participants noticed risk sources in the actual construction site more quickly compared to the virtual environment. On the other hand, total fixation duration (Z = -3.99, ρ < 0.05) and first fixation duration (Z = -3.99, ρ < 0.05) in the virtual environment were significantly higher than in the actual construction site, indicating that participants had higher attention level and higher risk perception during the virtual tour. The results support the effectiveness of a risk-free virtual environment by showing the participants' high level of attention and increased risk perception. By creating the most appropriate virtual environment for the relevant construction task, workers’ safety awareness can be enhanced utilizing non-hazardous and effective Virtual Reality (VR) safety tools.
Sahin Tolga Guvel
Reducing the amount of waste material in the construction industry is a crucial goal for sustainability worldwide. Cutting rebars to fit the lengths needed for a building generates significant rebar waste. This study aims to reduce rebar-cutting waste in construction projects. In addition to planning the cut lengths of the standard 12-meter rebar using optimization methods, the study intends to reduce rebar-cutting waste by producing rebars in different lengths based on order frequency. A combination of genetic algorithm, fuzzy logic system, and a new algorithm method optimizes the cutting process, resulting in a significant reduction of rebar waste. Unlike prior studies, this research proposes a unique cutting length order for the rebar list created after optimization, aiming to reduce rebar cutting waste below the optimized level. The results show that the reduction in the amount of rebar waste is satisfactory.
This research underscores the significance of energy-efficient measures, particularly in the context of an island-based housing project in Antalya, with a focus on diverse glass combinations. Employing Integrated Assessment Models, the study pioneers an examination of the economic dimensions linked to carbon emissions from residential buildings, addressing a critical gap in existing literature. The rapid population growth in the world causes the opening of new settlement areas and the increase in energy use. Since most of the energy needed is met from fossil fuels, the amount of global emissions is increasing day by day. Energy efficient studies are carried out in order to reduce this increase and to eliminate the environmental damages it will cause. In this study, Design Building Models were created by applying 9 scenarios created using three different insulating glass series, four different glass combinations and two different inter-glass filling gases to an island-based housing project in Antalya. The amount of electrical energy consumed annually in the design building models was obtained by performing hourly analyses with the DesignBuilder simulation program. In case the power plant that produces this amount of energy consumed uses seven different energy sources the amount of CO2-eq. emissions it will produce and the costs in 2030, 2040, and 2050 for the elimination of global environmental damages it causes are obtained by using the net present value method with 2.5%, 3%, and 5% discount rates. In our country, there are not many studies analyzing the economic dimension of the environmental damages caused by the emissions of residential buildings. The most distinctive feature that distinguishes this study from other studies is the examination of the energy savings of different glass combinations in an island-based housing project and the analysis of the economic dimension of the environmental impacts of the emission amounts with the help of Integrated Assessment Models. This study aims to contribute to the development of strategies to reduce environmental impacts and to make more informed decisions by governments in the selection of energy resources by determining electricity consumption, carbon emissions, and carbon social cost in a housing model designed with a focus on energy efficiency.
Life cycle cost analysis (LCCA) methodology is based on principles that provide a reliable means for determining the total cost of a project, facility, or process from its initial stages to the end of its life or salvage period. The LCCA objective for the construction industry is to establish or calculate the optimum solution for investment in a project that would meet the long-term's lowest cost estimate. This, in turn, allows selecting the best investment option for selected project(s). The contribution of this study is to identify and quantify the factors which relate and assist in gaining new knowledge, insight and understanding of life cycle cost analysis practice in Qatar’s construction industry. A survey was designed and distributed to different construction contractors, subcontractors, and consultants to evaluate their expectations and perceptions in the construction industry regarding LCCA application in the construction industry. A data sample of 101 working professionals was analyzed using statistical data. The data obtained were analyzed using statistical analysis techniques using the relative importance index to determine the ranking between different groups of LCCA factors. According to the research and data analysis findings, 27.7% of employees had an average exposure to LCCA during their work training and/or studies, while 72.3 % lacked exposure to LCCA. 32.7% of respondents had LCCA implemented during their tenure or work stay in the organization or project, and 36.6 % of respondents informed that their organization/companies advocate the use of LCCA during the planning stages of the project. 14.9% of respondents said their respective companies had any policies for LCCA implementation in their respective departments. An extensive look into LCCA knowledge, awareness, implementation, and variables that can improve LCCA implementation in Qatar is given by this research study.
Although the COVID-19 pandemic has profoundly disrupted construction projects worldwide, studies on its impacts on building inspection services remain limited. Ensuring adequate quality and safety through inspections is particularly important for projects delivering critical public assets. Thus, this study aims to investigate Turkish building inspectors' perspectives regarding the effects of the pandemic on public construction works between 2020 and 2022. For this purpose, a survey was conducted with 66 professionals involved in public inspection services. The findings revealed the established problems in the building inspection system, independent of the pandemic period, as well as the additional impediments caused by COVID-19, such as changing work routines, site operation issues, and quality problems. Furthermore, the agreement analysis verified the high level of consensus on the impacts of the pandemic among different participant groups, except that more experienced inspectors considered their tasks more challenging during this period. Implementing a balanced set of incentives and accountability measures, adopting remote inspection technologies, promoting modular construction applications, providing support programs for inspectors, and establishing long-term policies were presented as the key recommendations to build more resilient inspection mechanisms for the post-pandemic era. This research is believed to provide valuable insights into the theory and practice by exploring the diverse pandemic disruptions and response mechanisms.