Production logistics digital twins: Research profiling, application, challenges and opportunities

Zhu, Yanbing; Cheng, Jiangfeng; Liu, Zhifeng; Cheng, Qiang; Zou, Xiaofu; Xu, Hao; Wang, Yong; Tao, Fei

doi:10.1016/j.rcim.2023.102592

Cited by 30 publications

(2 citation statements)

References 80 publications

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“…The communication is carried out via ModBus TCP and OPC protocol and the analysis of the data is carried out by LabWIEW, with the aim of demonstrating a more efficient Industry 4.0. Additional applications within the framework of Industry 4.0, which are oriented towards process optimization through the utilization of DTs, are detailed in the following research studies [17][18][19][20][21].…”

Section: Related Workmentioning

confidence: 99%

A Cyber-Physical System Based on Digital Twin and 3D SCADA for Real-Time Monitoring of Olive Oil Mills.

Martinez-Ruedas,

Flores-Arias,

Moreno-Garcia

et al. 2024

Preprint

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Cyber-physical Systems involve the creation, continuous updating and monitoring of virtual replicas that closely mirror their physical counterparts. These virtual representations are fed by real-time data from sensors, Internet of Things (IoT) devices and other sources, enabling a dynamic and accurate reflection of the state of the physical system. This emphasizes the importance of data synchronization, visualization and interaction within virtual environments as a means to improve decision-making, training, maintenance and overall operational efficiency. This paper presents a novel approach to a cyber-physical system to harness the power of Industry 4.0, Digital Twin technology, Virtual Reality (VR) and 3D SCADA in the context of monitoring and optimizing an olive mill. In conclusion, this paper presents a methodology that leverages digital twins and virtual reality to create an immersive, data-driven simulation and monitoring system for an olive mill. The proposed CPS takes data from the physical environment through the existing sensors and measurement elements in the olive mill, concentrates them and exposes them to the virtual environment through the Open Platform Communication United Architecture (OPC-UA) protocol, thus establishing a bidirectional and real-time communication. Furthermore, in the proposed virtual environment, the digital twin is interfaced with the 3D SCADA system, allowing it to create virtual models of the process. This innovative approach has the potential to revolutionize the olive oil industry by improving operational efficiency, product quality and sustainability, while optimizing maintenance practices.

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Section: Related Workmentioning

confidence: 99%

A Cyber-Physical System Based on Digital Twin and 3D SCADA for Real-Time Monitoring of Olive Oil Mills.

Martinez-Ruedas,

Flores-Arias,

Moreno-Garcia

et al. 2024

Preprint

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“…Zhu et al [39] reviewed production logistics activities such as transportation, packaging, warehousing, material distribution, and information processing with digital twin. In transportation, past data embedded in the production logistics of digital twin were used to highlight the bottlenecks in the entire transport process [40].…”

Section: Introductionmentioning

confidence: 99%

A Bibliometric Analysis of Digital Twin in the Supply Chain

Lam,

Lee

2023

Mathematics

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Digital twin is the digital representation of an entity, and it drives Industry 4.0. This paper presents a bibliometric analysis of digital twin in the supply chain to help researchers, industry practitioners, and academics to understand the trend, development, and focus of the areas of digital twin in the supply chain. This paper found several key clusters of research, including the designing of a digital twin model, integration of a digital twin model, application of digital twin in quality control, and digital twin in digitalization. In the embryonic stage of research, digital twin was tested in the production line with limited optimization. In the development stage, the importance of digital twin in Industry 4.0 was observed, as big data, machine learning, Industrial Internet of Things, blockchain, edge computing, and cloud-based systems complemented digital twin models. Digital twin was applied to improve sustainability in manufacturing and production logistics. In the current prosperity stage with high annual publications, the recent trends of this topic focus on the integration of deep learning, data models, and artificial intelligence for digitalization. This bibliometric analysis also found that the COVID-19 pandemic drove the start of the prosperity stage of digital twin research in the supply chain. Researchers in this field are slowly moving towards applying digital twin for human-centric systems and mass personalization to prepare to transit to Industry 5.0.

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