Nexus between Building Information Modeling and Internet of Things in the Construction Industries

Mohammed, Baydaa Hashim; Sallehudin, Hasimi; Yadegaridehkordi, Elaheh; Satar, Nurhizam Safie Mohd; Hussain, Afifuddin Husairi; Abdelghanymohamed, Shaymaa

doi:10.3390/app122010629

Cited by 13 publications

(6 citation statements)

References 66 publications

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“…Inadequate exploration of the combination of machines gaining knowledge of other rising technologies, along with the Internet of Things (IoT) and Building Information Modeling (BIM) (Patel et al, 2021). Inadequate consideration of the moral and legal implications of deploying machine-learning techniques in production tasks (Mohammed et al, 2022). Loss of complete frameworks or pointers for implementing gadgets and gaining knowledge of answers in the construction industry (Hamilton and Davison, 2022).…”

Section: Literature Reviewmentioning

confidence: 99%

Exploring Machine Learning Techniques to Maximize Efficiency in Construction Industry Electrical and Electronics Engineering Projects

Obinnaya Chikezie Victor

2023

IJAIML

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The construction industry plays a vital role in the global economy but grapples with inefficiencies in electrical and electronics engineering projects, resulting in delays, increased costs, and reduced productivity. This study explores the application of machine learning techniques to enhance efficiency in these projects. Specifically, it focuses on developing and implementing machine learning algorithms for optimizing project scheduling, material procurement, and equipment utilization. Additionally, predictive analytics will be examined for risk identification and mitigation in electrical and electronics engineering tasks within construction. The research combines literature review and empirical analysis to understand industry challenges and the potential benefits of using machine learning. Empirical analysis involves creating and testing machine learning models using real-world project data. The expected outcome is a set of practical recommendations for project managers, engineers, and stakeholders in construction to improve efficiency and reduce costs. Overall, this research contributes to ongoing efforts to enhance construction industry efficiency and productivity through the application of machine learning techniques in electrical and electronics engineering projects.

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Section: Literature Reviewmentioning

confidence: 99%

Exploring Machine Learning Techniques to Maximize Efficiency in Construction Industry Electrical and Electronics Engineering Projects

Obinnaya Chikezie Victor

2023

IJAIML

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“…Several aspects of construction projects have been addressed separately through BIM and IoT, including safety risk assessment, conflict management, building construction sustainability, and monitoring of construction processes on-site, according to Mohammed [31]. Although IoT is still being widely adopted, drones are becoming more popular, robots and 3D printing are still in the development phase, and are only used for a limited number of applications.…”

Section: Literature Reviewmentioning

confidence: 99%

A model proposal for managing time limits in construction contracts

Öz

2023

JCEMI

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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.

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“…However, it is just at the beginning stage where the IoT is just starting to be implemented [10]. The growth of IoT in the Malaysian construction industry is still far away from the other Asian countries like South Korea, Singapore, China and Hong Kong [10,15]. The IoT is not fully utilised in the Malaysian construction industry, hence, the construction players in Malaysia have not discovered more on the benefits of IoT to help them in improving project efficiency [16].…”

Section: Introductionmentioning

confidence: 99%

Internet of Things (IoT): Real-Time Monitoring for Decision Making Among The Malaysian Contractors

Hong Cing Cing,

Nur Syaimasyaza Mansor

2023

ARASET

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The complexity of construction projects and the poor decision-making process often result in cost and time overruns. With the rapid growth of Industrial Revolution (IR4.0) in Malaysia, Internet of Things (IoT) is being expanded in the construction industry to improve project efficiency and performance. One of the benefits of IoT is it provides a real-time monitoring function to ensure that the construction players can access accurate data and information at the exact time throughout the project life cycle and assist in their decision making. Most studies have focused on how decision making is aided through the application of IoT during the design phase, with few studies focusing on the construction phase, particularly from the perspective of contractors. Without IoT, contractors need to use their professional experiences and limited data to make their decisions. As the contractors have to make a lot of decisions during the construction phase, the adoption of IoT can help the contractors to make fast and precise decisions. Despite its benefits, the adoption of IoT in the Malaysian construction industry is still low. With the focus on Grade 7 (G7) contractors in Malaysia, this paper intends 1) to study the types of IoT-based real-time monitoring technologies for decision-making among the contractors, and 2) to explore the potential improvements of decision making by the contractors after the adoption of IoT. The research adopted the qualitative method via semi-structured interviews. Based on the findings, there are 10 types of IoT-based real-time monitoring technologies being used and they have been utilised in several areas e.g. machineries and equipment, materials, labours, project sequences, waste management, risk management, productivity and quality of works, cost control and environmental protection. The function of the real-time monitoring of IoT such as the real-time data and report, sudden changes reporting, agentless real-time monitoring, root cause analysis, alerts and warnings and predictions, help the contractors in making their decision timely and accurately. Finding reported herein is considered significant towards raising industry players' awareness and acceptance of IoT in construction projects, thereby improving project efficiency and performance.

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Nexus between Building Information Modeling and Internet of Things in the Construction Industries

Cited by 13 publications

References 66 publications

Exploring Machine Learning Techniques to Maximize Efficiency in Construction Industry Electrical and Electronics Engineering Projects

Exploring Machine Learning Techniques to Maximize Efficiency in Construction Industry Electrical and Electronics Engineering Projects

A model proposal for managing time limits in construction contracts

Internet of Things (IoT): Real-Time Monitoring for Decision Making Among The Malaysian Contractors

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