Computers in Industry

The introduction of assistive construction robots can significantly alleviate physical demands on construction workers while enhancing both the productivity and safety of construction projects. Leveraging a Building Information Model (BIM) offers ...

• A BIM framework to support human-robot collaborative construction.
• Technical and physical setup solutions from the preparation stage to end-of-work.
• Automatic generation of interactive digital twin from the BIM and construction ...

Large numbers of maintenance Work Request Notification (WRN) records are created by industry as part of standard business work flows. These digital records hold invaluable insights crucial to best practice in asset management. Of particular ...

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• Free-text maintenance work request documents hold valuable causal information on asset failures.
• Work requests are multi-sentence and contain information extraneous to causal analysis so a novel sentence-level noise removal method is ...

Effective fault detection and diagnosis (FDD) is crucial for proactively identifying irregular states that could jeopardize operator well-being and process integrity. In the era of Industry 4.0, data-driven FDD techniques have received particular ...

• Process fault detection is difficult due to large and complex datasets.
• Domain knowledge is required to unpick relationships to give accurate predictions.
• KESA integrates engineering knowledge with deep learning for fault ...

Ultrasound welding technology is widely applied in the field of industrial manufacturing. In complex working conditions, various factors such as welding parameters, equipment conditions and operational techniques contribute to the formation of ...

• Designed DCFE-Module for complex defect extraction in welding dataset.
• LSAM-Module is designed with SAM-Conv for improved defect perception in welding.
• Integration of EVC and EMA enhances defect detection by balancing information.

The Digital Twin paradigm is a very promising technology that can be applied to various fields and applications. However, it lacks a unifying framework for classifying and defining use cases. The goal of this paper is to address the identified ...

• Industrial Digital Twin use cases have been collected, analyzed, and summarized.
• A first framework for classifying industrial Digital Twin use cases is proposed.
• An analysis guide shows how the Digital Twins are used in industry.

Structural components produced through hot stamping of lightweight materials, such as aluminium alloys, play a pivotal role in mass reduction, leading to decreased CO₂ emissions and enhanced fuel efficiency, especially in applications such as ...

• Establishing a cloud-based database of manufacturing processes.
• Developing distinctive digital characteristics (DC) of hot stamping process.
• Proposing a novel methodology to unlock inherent values of manufacturing metadata.

Trade restrictions, the COVID-19 pandemic, and geopolitical conflicts have significantly exposed vulnerabilities within traditional global supply chains. These events underscore the need for organisations to establish more resilient and flexible ...

• Turbulent trade environments have highlighted the need for organisations to enhance the resilience and diversity of their supply chains.
• The model of autonomous supply chains, characterised by predictive and self-decision-making ...

Computational fluid dynamics (CFD) has been extensively used as a simulation tool for product development in various industrial fields. Engineers sequentially query the CFD simulator to evaluate their design instances, during which they improve ...

• A CFD-ML system based on stream-based active learning is proposed.
• It adaptively alternates between the CFD simulator and ML model for evaluating design queries.
• It reduces costs compared to using only the CFD simulator.
• It ...

The booming Internet economy and generative artificial intelligence have driven the rapid growth of the digital content trading industry, creating an urgent need for the fair protection of the rights of both buyers and sellers. To meet this need, ...

• Protecting the rights of both buyers and sellers throughout content transactions.
• Offering solutions for the orderly development of the content trading industry.
• Client-side embedding is implemented alongside resolving the ...

Efficient firefighting operations are crucial for ensuring the safety of firefighters and preventing direct exposure to high-temperature and high-radiation environments. However, traditional firefighting robots face the challenges of low ...

• Innovative Approach: Novel solution for firefighting robots.
• CG-DALNet Model: Lightweight network with contextual guidance.
• UAV Vision Assisted Autonomous Firefighting Decision-making.
• Significant Performance Improvements: ...

Accurate X-ray image defect segmentation is of paramount importance in industrial contexts, as it is the foundation for product quality control and production safety. Deep learning (DL) has demonstrated powerful image scene understanding ...

• A core-profile decomposition network is proposed for X-ray image defect segmentation.
• Core feature learning creates an effective space to extract X-ray image features.
• Elasticity profile refinement uses elasticity scores to enhance ...

In the context of the Fourth Industrial Revolution, a large amount of heterogeneous data and information is generated during the lifecycle of complex products, which poses a considerable challenge for manufacturers and effective knowledge ...

• A well-structured domain ontology to enhance design for maintenance (DFM).
• Ontology promotes the formalization and effective reuse of DFM knowledge.
• The semantic interoperability has been validated through a case study.
• Rule-...

Generative Artificial Intelligence (AI) models serve as powerful tools for organizations aiming to integrate advanced data analysis and automation into their applications and services. Citizen data scientists—individuals without formal training ...

• A new model is developed to assess the impact of generative AI citizen on data scientist performance.
• A SWOT analysis is performed to develop factors in the model.
• Data from 268 retail companies is collected for model evaluation.

Object picking is a fundamental, long-lasting, and yet unsolved problem in industrial applications. To complete it, 6 Degrees-of-Freedom pose estimation can be crucial. This task, easy for humans, is a challenge for machines as it involves ...

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• Collaborative robots for industrial object picking in the context of smart manufacturing.
• Synthetic data generation and domain shift between simulated and real images.
• Detection, segmentation, and 6D pose estimation of challenging ...

Resistance spot welding (RSW) is a widely used welding technology in automotive manufacturing, and weld nugget quality is closely related to the quality of the vehicle body. Offline random checks are largely relied on the quality inspection of ...

• Weld nuggets are classified by learning the features of the weld spot point cloud.
• LFE module is designed to obtain the local features of the point cloud.
• A residual ratio module is developed to fuse the local and global features.

Wafer map defect detection plays an important role in semiconductor manufacturing by identifying root causes and accelerating process adjustments to ensure product quality and reduce unnecessary expenditures. However, existing methods have some ...

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• Detect defect type by basic defect discrimination and defect number detection.
• Construct a dual-branch multi-level network using high-performance Basic block.
• A composite loss function based on focal loss improves the network ...

Digital Twins (DT) encompass virtual models interconnected with a physical system through data links. Although DTs hold significant potential for positive organisational impact, their successful adoption in industrial practice remains limited. ...

• Identifies 10 unique characteristics of Digital Twin projects that distinguish them from conventional projects in manufacturing organisations.
• First article to present 28 detailed Digital Twin stakeholder communication challenges.
• ...

After two decades of research and development, process mining techniques are now recognized as essential analysis tools, as they have their own Gartner Magic Quadrant. The development of process mining techniques is rooted in process-related ...

• Process mining need to move from single cases to multiple object types and events.
• This aligns well with essential concepts from production and logistics.
• Process mining evaluation is elaborated by proposing an “evaluation ladder”.