Integration of automatic generated simulation models, machine control projects and management tools to support whole life cycle of industrial digital twins.

Garrido, Josefina; Sáez, J.

doi:10.1016/j.ifacol.2019.11.465

Cited by 10 publications

(4 citation statements)

References 5 publications

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“…Meanwhile, the use of AI in the construction phase enhances overall productivity and efficiency by facilitating analysis of material and property data, pattern detection, and other contributions [24]. A study on blockchain technology indicates that it has impacted confidence and transparency in the realm of construction projects [25]. There has also been tremendous usage of GIS technology for the visualization of site conditions, offering significant advantages [26].…”

Section: Technologymentioning

confidence: 99%

Assessing the Digital Transformation Readiness of the Construction Industry Utilizing the Delphi Method

Naji,

Gunduz,

Alhenzab

et al. 2024

Buildings

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The rapid advancement of digital technology has enabled digital transformation across various sectors, including construction. The construction industry has long been associated with conventional, labor-intensive practices that can adversely influence the entire construction process. However, this culture is changing as key players in the sector are progressively identifying and embracing the vast opportunities and associated benefits of using digital tools and technologies to improve the performance and outcomes of the overall project lifecycle. To this end, this study uses the Delphi technique to identify 70 factors that contribute to the digital transformation of the construction industry, categorizing them into five groups: management, design, technology, policy, and infrastructure. Delphi analysis is used to examine the critical success factors for digital transformation identified in the literature and rate their importance during the preconstruction, construction, and facility management phases. Furthermore, this research results in the introduction of the Digital Transformation Level of Readiness Framework (DTRLF) to help facility management firms, clients, organizations, contractors, and designers comprehend the implementation of digital transformation within their respective domains and support decision-makers in establishing action to adapt related technologies in their respected project phases.

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Section: Technologymentioning

confidence: 99%

Assessing the Digital Transformation Readiness of the Construction Industry Utilizing the Delphi Method

Naji,

Gunduz,

Alhenzab

et al. 2024

Buildings

View full text Add to dashboard Cite

show abstract

“…Despite these benefits, human expertise and judgment are still essential in reviewing and verifying AI analysis results, as AI is not a replacement for human professionals. AI can also be used in the construction phase to improve efficiency, safety, and productivity [86]. It can analyze data on materials and properties to help make informed decisions on material selection, and it can analyze large amounts of data to identify patterns and improve decision-making.…”

Section: ) Aimentioning

confidence: 99%

A Systematic Review of the Digital Transformation of the Building Construction Industry

Naji,

Gunduz,

Alhenzab

et al. 2024

IEEE Access

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Construction sector spending makes a significant contribution to the global economy, with approximately $10 trillion being spent on building and construction activities annually. However, the construction industry has traditionally been perceived as slow to adapt to new technologies compared to other sectors. Recently, the construction industry has experienced a substantial shift towards Digital Transformation. As new technologies have emerged, the construction industry has begun to realize the importance of Digital Transformation in the pre-construction, construction, and facility management phases. A high degree of Digital Transformation has been seen regarding site monitoring, wearables, sensors, and identifying hazards. This paper intends to sketch a global picture of digital technologies implemented in the construction industry throughout the entire project lifecycle. By fully analyzing more than 200 papers, the paper finds that various aspects of the construction industry, including technologies, policies, regulations, and infrastructures, are still in the early stages of Digital Transformation. The findings from this review will help researchers and practitioners in the construction industry understand the global picture of digital technology implementation and where the construction industry stands in the Digital Transformation process. This paper also serves as a starting point for future work on Digital Transformation in the construction industry. The research paper is limited to vertical aspects in building projects and does not include horizontal integration. Finally, this study will give a guideline with successful examples of which technologies are being used in specific phases, so future researchers can get a holistic view of the use of digital technology in the entire building environment.

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“…This solution is primarily concerned with the workpiece flow in the observed system. Changes in the model are triggered by discrete events, such as the need for operations, and the model operates on an abstraction level that ignores the physical and mechanical complexities of the system under investigation (Ding et al, 2019;Garrido & Sáez, 2019). Thus, except for the properties of interest for investigation, this type of simulation modeling leaves out the rest in favor of simplifications.…”

Section: Literature Reviewmentioning

confidence: 99%

DES and IIoT fusion approach towards real-time synchronization of physical and digital components in manufacturing processes

Monek,

Fischer

2023

Rep. Mech. Eng.

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Today's manufacturing systems offer more products to meet specific needs. Complex production systems in rapidly changing environments result from product variation, shorter product life cycles, and supply chain expansion. A cyber-physical production system (CPPS) can use manufacturing and logistics data to plan, monitor, and control production. Discrete event simulation (DES) and digital twin (DT) technology can model and evaluate manufacturing and logistics processes using high-level decision support and process monitoring. The cost of collecting input data from different enterprise data sources and mapping it into models and the lack of qualified experts prevent the widespread use of these methods in industry, especially in small and medium-sized enterprises and larger multinational companies. This research aims to create a modular digital twin framework for manufacturing process optimization and real-time monitoring in an industrial environment with few components. The system can identify and track the product through the manufacturing cycle while updating the DT in real-time and can be used independently to collect input parameters for discrete event-driven simulations and even for automatic simulation building in the future. The framework's operation will be shown through an example. With the proposed IIoT (industrial internet of things) system integration, it can detect faults and warn of deviations from normal operation, and DT can drastically reduce data collection and model building and support model reusability, increasing sustainability.

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Integration of automatic generated simulation models, machine control projects and management tools to support whole life cycle of industrial digital twins.

Cited by 10 publications

References 5 publications

Assessing the Digital Transformation Readiness of the Construction Industry Utilizing the Delphi Method

Assessing the Digital Transformation Readiness of the Construction Industry Utilizing the Delphi Method

A Systematic Review of the Digital Transformation of the Building Construction Industry

DES and IIoT fusion approach towards real-time synchronization of physical and digital components in manufacturing processes

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