Computers in Industry

The management of construction projects requires adequate techniques to support the continual exchange of information across disciplines. Recent advances in Building Information Modelling (BIM) have exposed new ways for process and ...

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• A Blockchain data provenance framework is proposed to manage BIM data in construction

This paper proposes a novel anomaly detection methodology for industrial systems based on Digital Twin (DT) ecosystems. In addition to DTs, conceived as a digital representation of a physical entity, this paper proposes a new concept ...

• This study presents the concept of Snitch Digital Twin applied to anomaly detection.

Data-driven prognostics and health management is an important part of the future industry. It allows the detection of system faults and estimation of its remaining useful life (RUL) to anticipate failures and schedule appropriate ...

• New prognostics method based on combination of direct and recursive estimation models.

This paper presents a novel methodology in the field of Prognosis and predictive Maintenance (PdM) of industrial components. It has been designed as an inclusive PdM approach grounded on flexible strategies capable of characterizing ...

• Behavioral characterization based on behavior patterns and two behavioral indicators.

Prolonging garment longevity is a well-recognized key strategy to reduce the overall environmental impact in the textile and clothing sector. In this context, change or degradation in esthetic or visual appeal of a garment with usage ...

• A deep learning-based predictive system for garment visual degradation is developed.

In recent years, the integration of Digital Twins (DT) for the adoption of smarter maintenance strategies has grown exponentially in different industrial sectors. New IoT and edge computing systems are being developed for this purpose, ...

• A methodology applicable to the development of any edge-based AI solution.
• ...

Fast-growing global markets are forcing companies to continuously re-assess customer needs when designing new products. Product evaluation is a critical task to ensure success, but it can require significant financial and time ...

• Jordan's socio category highly affected by formal product characteristics.
• ...

Accidents tend to happen during tunnel construction due to the harsh environmental and geological conditions. Towards high safety risk during tunnel construction, a digital-twin based multi-information intelligent early warning and ...

• A digital-twin based multi-information intelligent early warning and safety management platform is developed.

The tool condition has been a major concern in modern computer numerical control (CNC) machining due to its direct effects on the quality of final product both in the surface and dimensional integrity. The conventional machine vision-...

• Develop a single image super-resolution approach for direct tool wear estimation.

The purpose of this paper is to examine how blockchain and in general distributed ledger technology can help to solve intellectual property challenges of today´s era of digitization. We investigate business ventures leveraging ...

• Studies the impact of distributed ledger technology for the management of the intellectual property life cycle.

In the last years, multiple quality control tasks consist in classifying some items based on their aesthetic characteristics (aesthetic quality control, AQC), where usually the aspect of the material is not measurable and is based on ...

• Hierarchical ordinal classification using convolutional neural networks.
• ...

This research examines maintenance outsourcing in the presence of cyber-attacks. The research findings contribute to the literature on maintenance outsourcing by considering how cyber-attacks affect channel coordination and, ...

• Optimization of preventive maintenance frequency and security level against cyber-attacks.

Virtual Reality (VR) has been widely adopted for the creation of training experiences, since it appears to allow overcoming, especially for practical training, some of the limitations of real exercises. Many previous works focused on ...

• The best ways to use VR Training Systems (VRTS) has yet to be fully investigated.

The presence of surface defects during abrasive belt grinding has a significant impact on the service performance of the parts, and the precise extraction of surface defect feature information helps to enhance grinding quality. However,...

• A quantitative characterization model FCSNet for surface defects in abrasive belt grinding is established.

In recent years, Augmented Reality (AR) has been effectively proposed as a tool to support workers in manual procedural tasks in industry, such as assembly and maintenance. It is very common for workers to deal with complete equipment ...

• AR instructions in blind areas is challenging in maintenance.
• Authoring AR ...

Automated Guided Vehicles (AGVs) are among the most popular automated transportation systems in flexible manufacturing systems (FMSs). Bi-directional AGVs are particularly efficient; nevertheless, their control is complex as they ...

• Conflict-free routing of bi-directional AGVs.
• Hybrid control architecture to ...

Digital twins represent physical systems in virtual space to enable knowledge intensive tasks. For complex physical systems, effective digital integration can often be achieved by means of a system of aggregated digital twins coupled ...

• Design for information integration for complex physical systems.
• Six-step ...

The opportunities to shorten supply chains, open supplier markets, improve response times, and ultimately optimize stocks, generate interest in adopting additive manufacturing (AM) in spare parts’ supply chains. However, large-scale ...

• The opportunities to optimize supply chain and stocks generate interest in adopting additive manufacturing in spare parts.

Data-driven methods based on health indicators (HIs) have been proven effective for remaining useful life (RUL) prediction. Significant differences may exist among HI degradation sequences due to various equipment failure behaviors. In ...

• The grey incidence analysis (GIA) method is used to measure the similarity level of two sequences.

Recently, many studies on product design have been utilizing online data. They analyze user-generated online data and draw design implications. However, most of them provide customers’ tendency for feature categories rather than spec ...

• This study proposes an interpretable machine learning-based approach for spec guidance.

Accurate detection of faults is desired to reduce risks and costs. The identification of the propagation path of faults and the system’s variables responsible of faulty operating conditions is also paramount. This paper presents a new ...

Nowadays, guaranteeing the highest product variety in the shortest delivery time represents one of the main challenges for most of industries. The dynamic contexts where they have to compete push them to quickly readapt their processes,...

• Dynamic contexts push companies to quickly readapt their processes, increasing the need of reactive data-driven decision support tools to make the data ...

Integrating blockchain into the Internet of Things (IoT) for security is a new development in computational communication systems. While security threats are changing their strategies and constructing new threats on blockchain-based ...

• Investigate blockchain-based IoT attacks and tackle cyber threats to blockchain-based IoT systems.

The use of advanced communications and smart mechanisms in industry is growing rapidly, making cybersecurity a critical aspect. Currently, most industrial communication protocols rely on the Transport Layer Security (TLS) protocol to ...

• Industrial Internet of Things (IIoT) relies on DTLS and certificate validation
• ...

This publication addresses the adaptive control of manufacturing deviations in micro gear hobbing. We aim to establish Zero Defect Manufacturing in a series production using manipulated parts with a small sample size and machine ...

• Modular approach for implementing adaptive quality control loops.
• Use case: ...

Logistics processes are attracting growing attention because of the globalisation of the market. Its growing complexity and the need for reducing costs have provoked the seek of new solutions based on the processing of the complex ...

• The mapping synthesises 169 studies following a systematic and replicable process.

Design representation is a common task in the design process to facilitate learning, analysis, redesign, communication, and other design activities. Traditional representation techniques rely on human expertize and manual construction ...

• A methodology to visually represent a design description using semantic networks.

Zero defect manufacturing (ZDM) aims at eliminating defects throughout the value stream as well as the cost of rework and scrap. The ambitious goal of zero defects requires the extensive utilization of emerging technologies. Amidst the ...

• Human-centric is a key pillar in building a more resilient industry, yet often overlooked.