The food industry has recently faced rapid and constant changes due to the current industrial revolution, Industry 4.0, which also profoundly altered dynamics of overall. Due emerging digitalisation, manufacturing models are changing through use smart technologies, such as robotics, Artificial Intelligence (AI), Internet Things (IoT), machine learning, etc. They experiencing a new phase automation that enables innovative more efficient processes, products services. introduction these novel...

The construction sector has always occupied a strategic place in the European economy. industry suffered during 2007–2008 global financial crisis, and today is undergoing recovery process. Among all subsectors, civil engineering highest growth rate. Currently, to face profound industrial changes emerging with digital transformations (Industry 4.0), sustainability, climate change energy efficiency. To promote of accelerate recovery, we need create highly qualified competent workforce that can...

The growth of the renewable energy industry is happening at a swift pace pushed, by emergence Industry 4.0. Smart technologies like artificial intelligence (AI), Big Data, Internet Things (IoT), Digital Twin (DT), etc. enable companies within sector energies to drastically improve their operations. In this sectoral context, where upgraded sustainability standards also play vital role, it necessary fulfil human capital requirements imminent technological advances. This article aims determine...

The exponential growth of digitalisation and the continuous increase in sustainability needs are currently reshaping European manufacturing industry through its entire value chain. Industrial sectors have undergone significant changes globally recent years, they will continue to face this deep transformation. sectors, more specifically, companies, need develop a relevant strategy that can support their organisation handle upcoming future technological developments requirements properly. In...

Abstract The need for sustainable production, efficient use of resources, energy efficiency and reduction in CO 2 emission are currently the main drivers that transforming European process industry besides Industry 4.0. Since potential industrial symbiosis (IS) (EE) about environmental, economic social issues has been discovered, interest them is gradually increasing. funding investments IS EE highly encouraged by Commission, while more policies as well research innovation (R&I)...

In this study, an innovative methodology using trivariate copula-based conditional quantile regression (CBQR) is proposed for estimating copper recovery. This approach compared with six supervised machine learning methods, namely, Decision Tree, Extra Support Vector Regression (linear and epsilon), Multilayer Perceptron, Random Forest. For comparison purposes, open access database representative of a porphyry deposit used. The contains geochemical information on minerals, mineral zoning...

The reliability of Printed Circuit Boards (PCBs) is critical in modern electronics, particularly industries such as aerospace, automotive, and telecommunications, where failure can lead to significant operational financial consequences. IPC-9701 standard provides a framework for evaluating PCB by testing solder joint performance under mechanical thermal stress conditions. Traditional methods, temperature cycling tests (TCT), shock tests, vibration analysis, are labor-intensive,...

The machine tool industry, which is the starting point of all metal producing activities, presently undergoing rapid and continuous changes as a result fourth industrial revolution Industry 4.0. Manufacturing models are profoundly transforming with emerging digitalization. Smart technologies like artificial intelligence (AI), big data, Internet Things (IoT), digital twin, allow companies to optimize processes, increase efficiency reduce waste through new phase automation. These technologies,...

This paper is focused on preventive maintenance optimisation in manufacturing environments, with the objective of determining optimal frequencies for multi-equipment systems under cost and profit criteria. The initiative considers interaction production, work process material, quality aspects. In this suitability discrete event simulation to model or modify complex system models combined aptitude that multi-objective evolutionary algorithms have shown deal problems develop a management...

The aim of this paper is to characterize the mechanical behavior corrugated cardboard boxes using simple models that allow an approach load capacity and deformation boxes. This very interesting during a box design stage, in which does not exist yet. On one hand, mathematical model strength with different geometry obtained from experiments according Box Compression Test Edge Crush standards. second finite element simulation proposed only material elastic modulus compression direction needed....

The definition of geostatistical domains is a stage in the estimation mineral resources, which sample resulting from mining exploration process divided into zones that show homogeneity or minimal variation main element interest grade, having geological and spatial meaning. Its importance lies fact quality techniques, therefore, correct quantification resource, will improve geostatistically stationary areas. present study seeks to define for using non-traditional approach based on k-prototype...

Some companies improve their production performance using manufacturing or operations models. In the last decade these models have come to be known as “X” systems (XPS), company-specific systems. XPS been oriented mainly implement lean and continuous improvement principles, but shown little progress in terms of sustainability principles. The emergence databases (DBs), big data, business intelligence (BI) enabled creation system panels measure manage processes. These also allow assessment...

Due to economic and physical limitations, our understanding of mineral resources in a specific area interest is limited fragmented. Traditionally, this problem has been solved using the Kriging geostatistical method, where ore grade estimated at unmeasured locations known values surrounding points. The advantage method lies calculation weights through spatial variability model as variogram. However, imperfect, it based on assumption stationarity, aditivity, linearity potential subjectivity...

This article proposes a novel methodology for estimating metallurgical copper recovery, critical feature in mining project evaluations. The complexity of modeling this nonadditive variable using geostatistical methods due to low sampling density, strong heterotopic relationships with other measurements, and nonlinearity is highlighted. As an alternative, copula-based conditional quantile regression method proposed, which does not rely on linearity or additivity assumptions can fit any...

La denominada Industria 4.0 o cuarta revolución industrial promueve, entre otros, el uso de los sistemas inteligencia negocio Business Intelligence (BI) para manejo grandes cantidades datos provenientes entornos Big Data. Los BI contemplan tanto aplicaciones, infraestructura y herramientas, como las mejores prácticas que permiten acceso análisis la información mejorar optimizar procesos toma decisión en agilidad rendimiento sus resultados. El presente artículo presenta un caso implantación...

Artificial Intelligence (AI) has already strongly transformed many industries such as healthcare, finance, automotive, education and retail. In recent years, AI implementation in Business to Customer (B2C) e-commerce is increasing significantly. The aim of this research study the impact significance fashion e-commerce. For purpose, we conducted a systematic review literature articles. which 79 articles related topic were retrieved from "Web Of Science" database. First, categorized according...

This paper presents the design of a multi-objective tool for sizing shell and tube heat exchangers (STHX), developed under University/Industry collaboration. work aims to show feasibility implementing artificial intelligence tools during Heat Exchangers in industry. The STHX optimisation using algorithms is visited topic literature, nevertheless, degree implementation this concept uncommon industrial companies. Thus, challenge research consists development that can be used by approach...

Calculating adequate vehicle routes for collecting municipal waste is still an unsolved issue, even though many solutions this process can be found in the literature. A gap exists between academics and practitioners field. One of apparent reasons why rift that academic tools often are not easy to handle maintain by actual users. In work, problem collection modeled using a simple but efficient especially solution. Real data have been used, it has solved Genetic Algorithm (GA). Computations...