Procedia Computer Science

We are now living in the Intelligent Industry or Industry 4.0 era; therefore, it is very important its application in situations that allow us to simulate and model any necessary process. In this case, we are concerned with tulip production in a ...

A technological gap to monitor fruit quality evolution in the food supply chain is causing a huge waste of fruits. A digital twin is a promising tool to minimize fruit waste by monitoring and predicting the status of fresh produce throughout its ...

Nowadays, large industries of financial, technological, manufacturing, energetic, and service sectors have accomplished the incorporation of Data Science in their operations, processes, and work structures, obtaining significant improvements in ...

Telesurgery is a medical practice that has been developed for the last two decades. The idea is very simple, a highly trained surgeon performs a surgical intervention on a patient while being away from the operating room. The surgery execution is ...

Consumables life in general, and fusing lamp life in particular, is an important factor in determining Total Cost of Ownership (TOC) for multi-jet fusion 3D printing customers and thus impacting customers’ perception of device quality and ...

This paper presents a smart sensor dashboard for a digital twin of a smart manufacturing workshop. We described the development of the digital twin followed by three user studies on the visualization and interaction aspects of the smart sensor ...

In the context of Industry 4.0 (I 4.0), one of the most important aspects is data, followed by the capital required to deploy advanced technologies. However, most Small and Medium Enterprises (SMEs) are neither data ready nor have the capital to ...

Enterprises suffer from increasing competition and dynamic markets, the resulting disruptions of the operational process, trigger turbulences. This causes additional costs. However, methods to determine these costs are hardly available. This paper ...

The article deals with the spacecraft’s waveguide paths elements obtaining permanent joints problem, for which the electron beam welding application is proposed. Along with electron beam welding advantages lots, there are also some peculiarities. ...

Knowledge has emerged as a key commodity in smart manufacturing and as a critical resource for innovation and entrepreneurship in Industry 4.0. Innovative firms develop competitive advantages through knowledge exploitation and exploration, whether ...

Many industrial processes remain being executed manually due to the necessary dexterity to perform them and their complexity to be replicated and automated. In this paper, we present TRAINMAN-MAGOS, a finger-tracking based solution which uses a ...

Predictive maintenance and sound operating industrial equipment are essential for nearly any production plant. The absence of a systematic maintenance program and data-driven mindset in making manufacturing decisions may result in serious safety ...

Digital transformation in manufacturing is having a distinct impact on a variety of business models, including aircraft maintenance. Airline operators are revamping their Maintenance, Repair and Overhaul (MRO) activities with the use of integrated ...

Smart manufacturing allows for greater job autonomy and distributed decision-making. This job enrichment poses in turn higher demands on the industrial workforce. In this context, cognitive assistance systems are seen as a means to support human ...

Artificial Intelligence (AI) is known to be a driving force behind the Industry 4.0. Nowadays the current hype on development and industrial adoption of the AI systems is mostly associated with the deep learning, i.e., with the abilities of the AI ...

Chatter detection and avoidance are indispensable for many industries that rely on the machining process. The physics-based analytical models and recently successful machine learning methods can provide solutions using data from a unique setting. ...

In modern machining processes, chatter is an inherent phenomenon that hinders efficiency, productivity, and automation. Numerous methods have been proposed using analytical, computational, and artificial intelligence methods to detect and avoid ...

Digital transformation is challenging the competitiveness of micro and small enterprises (MSEs), especially in emerging markets where factors that inhibit the growth of these businesses traditionally prevail. This paper aimed to assess the digital ...

Thermal error significantly impacts the machining precision of machine-tools. Thermal deformations in the machine-tool structure caused by the various machine heat sources is at the origin of this phenomenon. In order to ensure the expected ...

In today’s manufacturing industry, enterprise-resource-planning (ERP) systems reach their limit when planning and scheduling production subject to multiple objectives and constraints. Advanced planning and scheduling (APS) systems provide these ...

In recent decades, government investments in occupational safety and health programs, as well as the development and training of workers’ skills have taken place. Furthermore, the demand for training methods tailored to the needs of workers led ...

Artificial Intelligence is an important asset of Industry 4.0. Current discoveries within machine learning and particularly in deep learning enable qualitative change within the industrial processes, applications, systems and products. However, ...

In this work, we present a cloud-based digital twin for monitoring of a clamping technology for machining of composite parts. Supporting large and/or freeform composite parts is crucial to avoid bending during drilling. Bending of the part will ...

Revolution 4.0, which all enterprises have to face, may affect entire industries, changing the way of design, production, delivery and payment for goods or service provision process. One of the major changes, that is required, is full automation ...

The world is faced with challenges presented by eroding natural resources as a sequel of perturbations in the environment due to rapid industrialization and population rise with reckless attitude towards the environment. Population growth is ...

In this paper, we present a novel unsupervised approach for online outlier detection in multivariate streaming process data, which we developed in collaboration with our industrial company partner from the field of plastics industry. The main idea ...

Turbulent markets pose increasing challenges for manufacturing companies. Disruptions such as customer order changes, machine breakdowns, or delivery failures require constant adjustments in operations. The efficient and effective handling of ...

To support the vision of Industry 4.0 and smart factories, manufacturing companies need to evolve their machines towards intelligent, connected cyber-physical systems (CPS). Software is at the heart of these digital transformation processes. OPC ...

The purpose of this research is to perform statistical data analysis of currently manually collected data in an area of the industrial manufacturing organisation employed in this study that is not digitalised to show the value that can be achieved ...