scispace - formally typeset
Search or ask a question

How construction technology improve quality and productivity of construction project? 

Best insight from top research papers

Construction technology, such as Digital Technologies (DTs), Building Information Modeling (BIM), and Blockchain, significantly enhance the quality and productivity of construction projects. DTs in the Nigerian construction industry improve operational efficiency, productivity, task execution speed, working methodology, and data documentation . BIM monitoring models based on information technology optimize construction quality by ensuring accurate monitoring data, leading to improved quality, efficiency, and reduced construction time . Additionally, BIM and construction management tools as Information and Communication Technology (ICT) enable efficient production planning, monitoring, and control, streamlining project delivery through improved collaboration and communication, resulting in early project completion . Blockchain technology, when applied in construction, enhances quality management and traceability, leading to improved project quality and safety management with shorter management times and increased management capabilities .

Answers from top 5 papers

More filters
Papers (5)Insight
Blockchain technology enhances construction project quality by introducing a blockchain-based management system, reducing management time, expanding management range, and improving overall management efficiency.
Construction technology, such as BIM and ICT tools, enhances quality and productivity by enabling efficient production planning, monitoring, and control through improved communication, collaboration, and data visualization in construction projects.
Construction technology, specifically BIM monitoring based on information technology, enhances construction quality by ensuring data accuracy, increasing qualified rate by 0.05%, and reducing construction period by 5 days.
Construction technology, specifically digital technologies, enhance quality and productivity by increasing operational efficiency, task speed, seamless workflow, accurate data documentation, and overall project innovation and safety practices.
Construction technology improves quality and productivity by enhancing worker performance and information access on-site, as shown in the study analyzing the impact of technology in the construction industry.

Related Questions

What are the specific AI technologies that have shown significant impact on the performance improvement of construction projects?4 answersArtificial intelligence (AI) technologies have shown significant impact on the performance improvement of construction projects. These technologies include artificial neural networks (ANN) and neuro-fuzzy models, which have been used to evaluate construction schedules and control project activities, resulting in optimal performance and improved project outcomes. AI has also been applied in the architectural, engineering, and construction (AEC) industry to predict risks such as project delays, budget overruns, and low resource use efficiency. It has been found that AI can increase efficiency, reduce costs, increase productivity, improve safety, and provide timely and accurate information. Additionally, AI has been leveraged in the context of Lean Construction, with research focusing on AI-related publications and exploring the capabilities of AI models like ChatGPT for education, conceptual analysis, and Lean application development. Overall, AI technologies, including machine learning, natural language processing, and computer vision, have the potential to revolutionize construction project planning and management, improving efficiency, accuracy, and performance.
What technologys are use for improve productivity for the construction projects?4 answersVarious technologies are being used to improve productivity in construction projects. These technologies include digital twin, cyber-physical systems, geographic information systems, global navigation satellite systems, onboard instrumentation systems, radio frequency identification, internet of things, telematics, machine learning, deep learning, computer vision, and photogrammetry. These technologies are applied in different areas such as monitoring and control, tracking and navigation, and data-driven performance optimization. Additionally, computer vision and artificial intelligence are used to develop algorithms that provide real-time feedback on worker productivity and identify different types of activities being conducted. Machine learning algorithms, such as artificial neural networks and support vector machines, are integrated with monitoring tools and technologies to enhance automated monitoring performance. These technologies and approaches aim to optimize project efficiency, reduce costs, and increase the overall productivity of construction activities.
How can artificial intelligence (AI) be used to improve construction projects?4 answersArtificial intelligence (AI) can be used to improve construction projects in several ways. Firstly, AI can help predict risks such as project delays, budget overruns, and low resource use efficiency, allowing for proactive measures to be taken. Secondly, AI can assist in better planning and providing timely and accurate information, leading to increased efficiency and productivity. Thirdly, AI can replace conventional modeling approaches and offer advantages over traditional methods for handling ambiguous circumstances, resulting in increased computer efficiency, decreased mistake rates, and faster decision-making. Additionally, AI can improve construction scheduling accuracy by incorporating historical data, site-specific conditions, and other variables that traditional methods may overlook, leading to improved project performance and reduced costs. Overall, AI has the potential to revolutionize the construction industry by improving project efficiency, accuracy, and performance.
How does smart tech improve productivity in construction?5 answersSmart technology improves productivity in construction by leveraging advancements such as robotics, automation, sensors, and wireless devices to increase efficiency, quality, and safety on construction sites. The Internet of Things (IoT) further enhances these benefits by enabling devices to connect and share data, allowing for better integration and coordination. Smart city construction, as a new urban development model, has been found to increase urban carbon productivity through technological progress, industrial structure upgrading, and energy structure optimization. Factors influencing the intended effect of smart technology in construction projects include collaborative innovation between cities, optimizing industrial structure, and accelerating renewable energy replacement. The use of digital technologies, particularly the Internet of Things (IoT), in smart construction methods such as offsite construction, lean construction, and real-time monitoring and control, has the potential to transform construction operations and improve efficiency. The use of information technologies, such as Smart spaces, can lead to increased efficiency, lower production costs, improved decision-making, and enhanced company image in the construction industry.
How can digital technologies be used to improve the efficiency, productivity, and sustainability of construction projects?5 answersDigital technologies can be used to improve the efficiency, productivity, and sustainability of construction projects. Adoption and implementation of technologies such as cloud-based communication and collaboration solutions, BIM, Construction Management (CM) Software, AR/VR, 3D printing, Digital Twins, AI, Big Data, IoT, Blockchain, Modular Construction, Offsite Manufacturing, Prefabrication, Robotic, Drones, Mobile Apps, and 5G can expedite progress in the construction industry (CI). These technologies increase efficiency and productivity, reduce risks and time, provide higher security and green sustainability, and improve overall economics. Digitalization promotes safety and well-being, planning enhancements, collaboration, waste reduction, employee upskilling, design enhancements, communication and knowledge transfer, and accuracy in information management, leading to improved productivity. Digital construction, with its digital tools and data, can address challenges in profitability/productivity, project performance, skilled labor shortages, and sustainability concerns. Lean processes, combined with digital production management systems and the Last Planner System® (LPS), can support efficient production planning, monitoring, and controls, leading to improved project delivery and collaboration.
Technology in Construction?3 answersTechnology is playing a significant role in reshaping the construction industry by reducing carbon emissions, managing large-scale projects, and improving efficiency and transparency. The adoption of digital transformation technologies such as cloud-based communication, 3D printing, Building Information Modelling (BIM), and Internet of Things (IoT) has expedited progress in the construction industry. Lean construction principles have also been successfully implemented to eliminate waste and increase profitability in construction projects. Furthermore, the introduction of the latest digital technologies, including artificial intelligence, has revolutionized construction processes, making them more efficient and effective. Overall, technology is driving advancements in construction, leading to safer, faster, and more cost-effective projects.

See what other people are reading

What is open system approach in BIM?
5 answers
The open system approach in Building Information Modelling (BIM) emphasizes interoperability, scalability, and accessibility. It aims to facilitate future expansion of capabilities by unifying diverse spatial information systems and technologies. Open BIM methodologies integrate Industry Foundation Classes (IFC) with Internet of Things (IoT) for dynamic Asset Management (AM) applications, enhancing real-time data integration and automation of digital AM processes. Additionally, Open Modelling approaches like OpenMARS provide a platform-independent format for risk assessment and performance modeling of complex systems, ensuring flexibility and comprehensive system modeling. Online BIM visualization systems, such as WebBIM, follow the principles of being light-weighted, cross-platform, and open, enabling efficient visualization of large BIM files across mainstream devices. Overall, the open system approach in BIM focuses on enhancing collaboration, data sharing, and system flexibility for improved asset management and performance assessment.
What are the various consensus mechanisms in blockchain? Explain in detail.?
5 answers
Various consensus mechanisms in blockchain include Proof of Work (PoW), Proof of Stake (PoS), and Practical Byzantine Fault Tolerance (PBFT). PoW involves miners solving complex mathematical puzzles to validate transactions and create new blocks, while PoS relies on validators staking their cryptocurrency to validate transactions based on their coin holdings. PBFT focuses on reaching agreement in a distributed system despite malicious nodes. Each consensus mechanism has its strengths and weaknesses, impacting performance, security, and efficiency. PoW is known for its security but high energy consumption, PoS offers energy efficiency but raises concerns about centralization, and PBFT provides fast transaction finality but is limited in scalability. Understanding these mechanisms is crucial for selecting the most suitable one based on specific application requirements.
How bhom could be used for structural analysis?
5 answers
Bayesian Dynamic Linear Models (BDLMs) can be utilized for structural analysis by isolating baseline responses from external effects, aiding in anomaly detection. Additionally, the Inversion Reduced-Basis Method (IRBM) offers a real-time algorithm for dynamic problem analysis, providing high-precision results efficiently. Physicochemical characterization is crucial for understanding protein and antibody molecular structures, emphasizing the need for comprehensive analytical methods to assess structural changes. Structural engineers can benefit from Building Information Modelling (BIM) technology, enhancing collaboration and introducing new analysis avenues within the building design process. Moreover, the ITER bolometer undergoes structural analysis to ensure reliable measurements under extreme environmental conditions during plasma operation, utilizing nonlinear finite element models and transient mechanical analyses.
How do researchers determine the suitability of different MCDM methods for a given problem?
5 answers
Researchers determine the suitability of different Multi-Criteria Decision Making (MCDM) methods for a given problem through various approaches outlined in the literature. One method involves developing a hybrid approach that combines multiple MCDM methods and prioritizes them based on a maximin strategy to ensure unbiased rankings. Additionally, researchers propose a typology for classifying MCDM methods based on the rationality of their pairwise comparison procedures, allowing analysts to choose the method that best fits the multicriteria problem. Furthermore, empirical studies compare the performance of various MCDM methods under uncertain conditions using Monte Carlo simulations to assist decision-makers in selecting the most robust and reliable method for different decision scenarios. These diverse methodologies aid researchers in evaluating and selecting the most appropriate MCDM method for a given problem.
Life cycle assessment of roads maintenance?
4 answers
Life cycle assessment (LCA) plays a crucial role in evaluating the environmental sustainability of road maintenance techniques. Studies show that using recycled materials in road construction is more sustainable and environmentally friendly than using virgin materials. Additionally, the choice of road restoration and maintenance techniques significantly impacts environmental performance, with deep recycling showing a 47% lower impact compared to structural reinforcement techniques over a 30-year cycle. Integrating LCA into Infrastructure Building Information Modeling (IBIM) tools allows for the automatic evaluation of sustainability criteria during the design stage, aiding in selecting the most environmentally and economically sustainable road pavement solutions. Furthermore, the environmental impacts of winter road maintenance operations, particularly the use of deicer, are significant and should be considered in cold-climate road LCA studies to identify emissions hotspots and potential for reductions.
What is the definition of a project in PMBOK PMI?
5 answers
In the PMBOK PMI framework, a project is defined as a temporary endeavor undertaken to create a unique product, service, or result. Projects are characterized by their defined beginning and end, specific objectives, and constraints such as time, cost, scope, and quality. The PMBOK emphasizes the importance of effective project management in achieving organizational goals and delivering value through successful project outcomes. It outlines processes and best practices for managing projects from initiation to closure, ensuring that projects are completed efficiently and meet stakeholder expectations. By following the PMBOK guidelines, organizations can standardize project management practices, improve project success rates, and align projects with strategic objectives.
What is Exploratory research, questions start with ( how?)?
4 answers
Exploratory research is an initial investigation conducted to clarify and define the nature of a problem when researchers have limited experience or knowledge. It aims to provide a greater understanding of a concept or crystallize a problem, often serving as a precursor to more rigorous and conclusive future studies. Researchers utilize exploratory research to design a social-demographic portrait of the audience, assess age group contributions to television viewing, and select permanent study participants. This type of research involves analyzing data without preexisting hypotheses, often leading to the generation of new hypotheses for larger trials. While exploratory analyses can be valuable for hypothesis generation, caution is advised in interpreting results due to the high risk of Type I errors, which may lead to false positive findings.
How to optimize organizational structure for better quality management?
5 answers
To optimize organizational structure for better quality management, it is essential to focus on various aspects highlighted in the research papers. Implementing a systematic approach, such as the one used in the Ural interregional territorial administration of Rosstandart, can enhance the functional characteristics of activities, leading to improved public services and overall quality of life. Additionally, adopting a quality management system based on ISO 9001 principles, as demonstrated by the National Ecological Observatory Network (NEON), can ensure high-quality, standardized data collection. Furthermore, considering the importance of quality in product competitiveness and the need for effective quality management systems, organizations should prioritize transparency, responsibility, and optimization within their structures to achieve better quality management outcomes.
What are the current challenges facing healthcare systems?
5 answers
Current challenges facing healthcare systems include the strain caused by COVID-19, long-term effects like long COVID, overwhelming demand for emergency services, and the need for system-wide changes to adapt to unprecedented challenges. The impact of the pandemic on physical, mental, emotional, and economic aspects of healthcare is significant. Issues such as racism affecting patient care and vaccine hesitancy, as well as the need for a shared definition of self-driven healthcare, are highlighted. Additionally, the growing epidemic of multimorbidity and noncommunicable diseases, coupled with underused self-care interventions, exacerbates healthcare inequalities. These challenges underscore the necessity for innovative solutions like blockchain technology to revamp healthcare systems.
What are the technologies and concepts related to industry 4.0 in manufacturing companies?
7 answers
Industry 4.0, also known as the fourth industrial revolution, introduces a suite of technologies and concepts aimed at revolutionizing manufacturing companies. Central to this transformation are digitalization and connectivity, which enable a more flexible, efficient, and sustainable production environment. Key technologies include the Internet of Things (IoT), which allows for the interconnectivity of machines, products, and systems, facilitating real-time data exchange and monitoring for improved decision-making and efficiency. Cloud computing, big data analytics, and artificial intelligence (AI) are also pivotal, offering the computational power and intelligence needed for processing vast amounts of data, thus enhancing operational efficiency and enabling predictive maintenance. Additive manufacturing, or 3D printing, represents another critical technology, allowing for mass customization and on-demand production, which significantly contributes to resource efficiency and flexibility in manufacturing processes. Cyber-Physical Systems (CPS) integrate physical processes with computation and networking, providing the foundation for advanced automation and real-time data processing capabilities essential for Industry 4.0. The concept of smart manufacturing underpins these technologies, focusing on cost-effective, highly optimized production through the use of smart systems and connected technologies. This approach not only aims at enhancing productivity but also at achieving sustainability by minimizing waste and energy use. Moreover, the digital transformation facilitated by Industry 4.0 technologies requires a cultural shift within organizations, emphasizing the need for businesses to adapt their operations and business models to leverage digital solutions effectively. Furthermore, Industry 4.0 technologies provide opportunities for generating new revenue streams through data-driven services and improving customer satisfaction through personalized and efficient product offerings. The integration of information systems plays a crucial role in this transformation, ensuring easy access to and distribution of data, thereby supporting technological integration and efficient service management. In summary, Industry 4.0 in manufacturing encompasses a broad array of technologies and concepts, including IoT, cloud computing, big data, AI, additive manufacturing, and CPS, all aimed at driving digital transformation, enhancing flexibility, and promoting sustainable development.
What are the current trends and challenges in the management of digital identity across different industries?
5 answers
Current trends in digital identity management encompass federated identity management (FIM) for seamless user experiences, computer vision-based frameworks for contactless recognition, and decentralized approaches in blockchain environments. Challenges include the complexity of implementing digital identities, especially in capturing and processing data accurately, and the need to address real-world problems through extensions to existing protocols like SAML 2.0 and OAuth 2.0. Efforts are underway to reduce complexity, standardize protocols, and include future use cases to enhance security and usability. The shift towards decentralized identity management offers users complete ownership of their identities, presenting both advantages and regulatory considerations.