The Usage of an Intelligent Virtual Sensor as a Form of Approximation to the Final Consumer

2018 ◽  
pp. 349-356
Author(s):  
Mário Macedo ◽  
Ricardo Barbosa ◽  
Ricardo Santos
Keyword(s):  
Virtual Sensor ◽  
Final Consumer

Virtual Sensor Idea-Based Geolocation Using RF Multipath Diversity

2016 ◽  
Vol E99.A (10) ◽  
pp. 1799-1805
Author(s):  
Zhigang CHEN ◽  
Lei WANG ◽  
He HUANG ◽  
Guomei ZHANG
Keyword(s):  
Virtual Sensor ◽  
Multipath Diversity

scholarly journals MODEL-BASED DESIGN OF AM COMPONENTS TO ENABLE DECENTRALIZED DIGITAL MANUFACTURING SYSTEMS

2021 ◽  
Vol 1 ◽  
pp. 2127-2136
Author(s):  
Olivia Borgue ◽  
John Stavridis ◽  
Tomas Vannucci ◽  
Panagiotis Stavropoulos ◽  
Harry Bikas ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Manufacturing Systems ◽  
Production Systems ◽  
Data Generation ◽  
Production Networks ◽  
Model Based ◽  
Manufacturing Technologies ◽  
Am Processes ◽  
Final Consumer

AbstractAdditive manufacturing (AM) is a versatile technology that could add flexibility in manufacturing processes, whether implemented alone or along other technologies. This technology enables on-demand production and decentralized production networks, as production facilities can be located around the world to manufacture products closer to the final consumer (decentralized manufacturing). However, the wide adoption of additive manufacturing technologies is hindered by the lack of experience on its implementation, the lack of repeatability among different manufacturers and a lack of integrated production systems. The later, hinders the traceability and quality assurance of printed components and limits the understanding and data generation of the AM processes and parameters. In this article, a design strategy is proposed to integrate the different phases of the development process into a model-based design platform for decentralized manufacturing. This platform is aimed at facilitating data traceability and product repeatability among different AM machines. The strategy is illustrated with a case study where a car steering knuckle is manufactured in three different facilities in Sweden and Italy.

scholarly journals Design of a neural virtual sensor for the air and charging system in a Diesel engine

2020 ◽  
Vol 53 (2) ◽  
pp. 14061-14066
Author(s):  
Vincenzo Alfieri ◽  
Carmen Pedicini ◽  
Corrado Possieri
Keyword(s):  
Diesel Engine ◽  
Virtual Sensor ◽  
Charging System

scholarly journals Disentangling Individual Phases in the Hunted vs. Farmed Meat Supply Chain: Exploring Hunters’ Perceptions in Italy

Foods ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 174
Author(s):  
Maria Elena Marescotti ◽  
Eugenio Demartini ◽  
Michael Gibbert ◽  
Roberto Viganò ◽  
Anna Gaviglio
Keyword(s):  
Supply Chain ◽  
Production Process ◽  
Emerging Market ◽  
Final Phase ◽  
Game Meat ◽  
Wild Game ◽  
Wild Boar Meat ◽  
Training Activities ◽  
Final Consumer

The growing body of literature concerning the hunted wild game meat (HWGM) supply chain is mainly focused on the final consumer, while little is known about upstream production processes. Even though the hunter plays a central role here, it is not well understood how hunters themselves perceive their role in the various phases of the production process. The present study explores Italian hunters’ perception of the HWGM supply chain and compares it to their perception towards the conventional farmed meat supply chain. We distinguish several phases of this production process and find that the final phase related to on-site game dressing is considered problematic, perhaps because hunters perceive themselves as less skilled than professional butchers. The results, in fact, show that hunters prefer hunted products over farmed meat, but that they consider hunted wild boar meat less safe compared to farmed pork. Findings from this study provide a rare glimpse from the inside of the supply chain and reveals the needs for a broad risk assessment analysis on the Italian game meat supply chain. Considering the development of the Italian emerging market of the HWGM, our results also highlight the relevance of training activities on hunters in order to increase the safety and quality of the final product.

scholarly journals Development of a wind turbine gearbox virtual load sensor using multibody simulation and artificial neural networks

2021 ◽  
Author(s):  
Baher Azzam ◽  
Ralf Schelenz ◽  
Björn Roscher ◽  
Abdul Baseer ◽  
Georg Jacobs
Keyword(s):  
Time Series ◽  
Wind Turbine ◽  
High Speed ◽  
Time Series Data ◽  
Development Trend ◽  
Series Data ◽  
Ann Model ◽  
Wind Turbine Gearbox ◽  
Virtual Sensor ◽  
Artificial Neural

AbstractA current development trend in wind energy is characterized by the installation of wind turbines (WT) with increasing rated power output. Higher towers and larger rotor diameters increase rated power leading to an intensification of the load situation on the drive train and the main gearbox. However, current main gearbox condition monitoring systems (CMS) do not record the 6‑degree of freedom (6-DOF) input loads to the transmission as it is too expensive. Therefore, this investigation aims to present an approach to develop and validate a low-cost virtual sensor for measuring the input loads of a WT main gearbox. A prototype of the virtual sensor system was developed in a virtual environment using a multi-body simulation (MBS) model of a WT drivetrain and artificial neural network (ANN) models. Simulated wind fields according to IEC 61400‑1 covering a variety of wind speeds were generated and applied to a MBS model of a Vestas V52 wind turbine. The turbine contains a high-speed drivetrain with 4‑points bearing suspension, a common drivetrain configuration. The simulation was used to generate time-series data of the target and input parameters for the virtual sensor algorithm, an ANN model. After the ANN was trained using the time-series data collected from the MBS, the developed virtual sensor algorithm was tested by comparing the estimated 6‑DOF transmission input loads from the ANN to the simulated 6‑DOF transmission input loads from the MBS. The results show high potential for virtual sensing 6‑DOF wind turbine transmission input loads using the presented method.

The Analysis Of E-Commerce Logistics Efficiency Of The Ukrainian Construction Enterprises

2021 ◽  
Vol 38 (4) ◽  
Author(s):  
Marina Kravchenko ◽  
Hanna Manoryk ◽  
Natalia Sytnik
Keyword(s):  
Electronic Commerce ◽  
Economic Activity ◽  
Construction Materials ◽  
Net Income ◽  
Sales Channel ◽  
Direct Sales ◽  
Construction Enterprises ◽  
Manufacturing Enterprises ◽  
Industrial Enterprises ◽  
Final Consumer

An important component of successful economic activity of industrial enterprises is the optimal sales model combined with e-commerce opportunities. The article analyzed two construction materials manufacturing enterprises categories: those using exclusively a sales network for the promotion of their products, and those developing a direct sales system to the final consumer via electronic commerce. These are basically two different logistical approaches to the process of selling their own products. The efficiency of using e-commerce logistics means is determined by the correlation of sales expenses index with an indicator of enterprises' net income. It was proved sales expenses' indicator affects the dynamics of the net income indicator positively only for the enterprises using e-commerce logistics as a means of setting up a direct sales channel for their products. The article provides recommendations for creating an optimal logistics e-commerce system for construction materials manufacturing enterprises.

The impact of a pandemic on the development of logistics: EU experience and problems in Ukraine

2021 ◽  
pp. 90-100
Author(s):  
Olena Kuzmenko ◽  
Valentyn Kuzmenko ◽  
Viktoriya Kukhtina
Keyword(s):  
International Business ◽  
Material Resources ◽  
On Demand ◽  
Analysis And Synthesis ◽  
Logistics Market ◽  
General Scientific ◽  
The Impact ◽  
Final Consumer ◽  
The Eu

An important aspect of any industry is the rapid and effective adaptation to changing conditions. The logistics market during the pandemic and related constraints has changed significantly, and competition in this segment has become higher than ever. Many consumers are forced to reduce consumption, companies have reduced supplies and production, diversified their activities. The transportation market has become denser and the struggle for the customer has intensified. Optimization of financial, labor, and material resources through the reduction of activities can negatively affect the quality of logistics services, the speed of processing goods, and their delivery to the final consumer. Based on the relevance, the aim of the research is to study the impact of the COVID-19 pandemic on logistics, assess the results of such impacts in the EU, as well as outline trends and prospects for the logistics market in terms of declining coronavirus and market recovery. The research methodology is based on the use of general scientific and specific methods, in particular: analysis and synthesis, induction and deduction, systematization, generalization. The scientific novelty of the study is that the changes that have taken place in logistics have led to the emergence of new trends and trends that need to be generalized and evaluated in terms of prospects for impact on the industry. The study summarized the conclusion that the coronavirus pandemic created opportunities for some companies and threats for others. As a result of the constraints and challenges that have become inherent in international business and logistics, e-commerce, on-demand delivery, and the concept of “last kilometers” are developing rapidly in the EU and Ukraine. The logistics market has a tendency to consolidate and diversify. At the same time, once the European economy returns to normal, most of the changes that have taken place in logistics will be irreversible. Keywords: logistics, pandemic consequences, trade, supply chain, transport

A step forward toward the high-resolution assessment of virtual water flows at the company’s scale

2021 ◽  
Author(s):  
Elena De Petrillo ◽  
Marta Tuninetti ◽  
Francesco Laio
Keyword(s):  
Water Management ◽  
High Resolution ◽  
Water Resources ◽  
Virtual Water ◽  
The State ◽  
Green Water ◽  
Blue Water ◽  
Food Trade ◽  
Water Flows ◽  
Final Consumer

<p>Through the international trade of agricultural goods, water resources that are physically used in the country of production are virtually transferred to the country of consumption. Food trade leads to a global redistribution of freshwater resources, thus shaping distant interdependencies among countries. Recent studies have shown how agricultural trade drives an outsourcing of environmental impacts pertaining to depletion and pollution of freshwater resources, and eutrophication of river bodies in distant producer countries. What is less clear is how the final consumer – being an individual, a company, or a community- impacts the water resources of producer countries at a subnational scale. Indeed, the variability of sub-national water footprint (WF in m<sup>3</sup>/tonne) due to climate, soil properties, irrigation practices, and fertilizer inputs is generally lost in trade analyses, as most trade data are only available at the country scale. The latest version of the Spatially Explicit Information on Production to Consumption Systems model  (SEI-PCS) by Trase provides detailed data on single trade flows (in tonne) along the crop supply chain: from local municipalities- to exporter companies- to importer companies – to the final consumer countries. These data allow us to capitalize on the high-resolution data of agricultural WF available in the literature, in order to quantify the sub-national virtual water flows behind food trade. As a first step, we assess the detailed soybean trade between Brazil and Italy. This assessment is relevant for water management because the global soybean flow reaching Italy may be traced back to 374 municipalities with heterogeneous agricultural practises and water use efficiency. Results show that the largest flow of virtual water from a Brazilian municipality to Italy -3.52e+07 m<sup>3</sup> (3% of the total export flow)- comes from Sorriso in the State of Mato Grosso. Conversely, the highest flow of blue water -1.56e+05 m<sup>3</sup>- comes from Jaguarão, in the State of Rio Grande do Sul, located in the Brazilian Pampa. Further, the analysis at the company scale reveals that as many as 37 exporting companies can be identified exchanging to Italy;  Bianchini S.A is the largest virtual water trader (1.88 e+08 m<sup>3</sup> of green water and 3,92 e+06 m<sup>3</sup> of blue water), followed by COFCO (1,06 e+08 m<sup>3</sup> of green water and 6.62 m<sup>3</sup> of blue water)  and Cargill ( 6.96 e+07 m<sup>3</sup> of green water and 2.80 e+02 m<sup>3</sup> of blue water). By building the bipartite network of importing companies and municipalities originating the fluxes we are able to efficiently disaggregate the supply chains , providing novel tools to build sustainable water management strategies.</p>

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