Neural Network Comparison for Paint Errors Classification for Automotive Industry in Compliance with Industry 4.0 Concept

2019 ◽  
pp. 353-359
Author(s):  
Michal Kebisek ◽  
Lukas Spendla ◽  
Pavol Tanuska ◽  
Gabriel Gaspar ◽  
Lukas Hrcka
Keyword(s):  
Neural Network ◽  
Automotive Industry ◽  
Industry 4.0 ◽  
Network Comparison

scholarly journals The Role of Industry 4.0 and BPMN in the Arise of Condition-Based and Predictive Maintenance: A Case Study in the Automotive Industry

2021 ◽  
Vol 11 (8) ◽  
pp. 3438
Author(s):  
Jorge Fernandes ◽  
João Reis ◽  
Nuno Melão ◽  
Leonor Teixeira ◽  
Marlene Amorim
Keyword(s):  
Business Process ◽  
Automotive Industry ◽  
Industry 4.0 ◽  
Process Model ◽  
Business Process Management ◽  
Process Management ◽  
Predictive Maintenance ◽  
The Evolution Of Industry

This article addresses the evolution of Industry 4.0 (I4.0) in the automotive industry, exploring its contribution to a shift in the maintenance paradigm. To this end, we firstly present the concepts of predictive maintenance (PdM), condition-based maintenance (CBM), and their applications to increase awareness of why and how these concepts are revolutionizing the automotive industry. Then, we introduce the business process management (BPM) and business process model and notation (BPMN) methodologies, as well as their relationship with maintenance. Finally, we present the case study of the Renault Cacia, which is developing and implementing the concepts mentioned above.

scholarly journals Embedded vision device integration via OPC UA: Design and evaluation of a neural network-based monitoring system for Industry 4.0

Procedia CIRP ◽  
2021 ◽  
Vol 100 ◽  
pp. 43-48
Author(s):  
Sascha Julian Oks ◽  
Sebastian Zöllner ◽  
Max Jalowski ◽  
Jonathan Fuchs ◽  
Kathrin M. Möslein
Keyword(s):  
Neural Network ◽  
Monitoring System ◽  
Industry 4.0 ◽  
Embedded Vision ◽  
Device Integration

scholarly journals Automotive Industry in the Context of Industry 4.0 Strategy

2018 ◽  
Vol 13 (2) ◽  
pp. 61-65
Author(s):  
Juraj Sinay ◽  
Zuzana Kotianová
Keyword(s):  
Change Management ◽  
Automotive Industry ◽  
Driving Force ◽  
Industry 4.0 ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
On Line

Abstract The emergence of cyber-physical systems encourages constant adaptation to the complex requirements of new systems, creating new requirements for businesses that must adapt their activity to change. The automotive industry is the decisive industry and the driving force behind the development of the Slovak economy. Changes that have occurred in the automotive industry are reflected in the high automation of processes, which is reflected in the need to change management, in particular the need for on-line automotive tracking.

scholarly journals Digital industry and manufacturing automation: impact on employment

2020 ◽  
Vol 1 (2) ◽  
pp. 17-19
Author(s):  
Danil Alekseevich Zyukin
Keyword(s):  
Automotive Industry ◽  
Industry 4.0 ◽  
Structural Complexity ◽  
Digital Transformation ◽  
Fourth Generation ◽  
Production Sector ◽  
Manufacturing Automation ◽  
Manufacturing Enterprises ◽  
Systemic Level

The aim of article. The digital industry (Industry 4.0, the fourth-generation industry) is developing - based on the digital transformation of the production sector. Countries must create a workforce ready for future infrastructure. This requires the cooperation of universities, government and industry, including initiatives aimed at training workers for the transforming productive sector. The pandemic has COVID-19 exacerbated the problem of employment. Methodology: it is necessary to study the problem of employment at the systemic level, with an analysis of the structural complexity and development of digital transformations. This article explores this problem for manufacturing enterprises, in particular the automotive industry. The Results and Conclusions present the results of the analysis and make forecasts.

scholarly journals Supply chain resilience and industry 4.0: a evaluation of the Brazilian northeast automotive OEM scenario post COVID-19

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Milton C. Soares ◽  
Cristiano V. Ferreira ◽  
Thiago B. Murari
Keyword(s):  
Supply Chain ◽  
Product Quality ◽  
Automotive Industry ◽  
Industry 4.0 ◽  
Future Outlook ◽  
Control Plan ◽  
Quality Planning ◽  
Planning And Control ◽  
Brazilian Northeast ◽  
And Control

AbstractCOVID-19 outbreak has heavily impacted the manufacturing industry, including Brazilian Automotive Industry. The effects of COVID-19 created restrictions in several industry processes as supply chain. On the other hand, several industry 4.0 technologies is able to support the industry supply chain activities in the COVID 19 scenarios, as well it may contributed for the automotive industry recovery and it will define the next steps of this industry. A supply chain is a network between a company and its suppliers to produce and distribute a specific product to the final buyer. Industry 4.0 is related to the technology development and the digitalization process that improve significantly productivity. Considering the automotive process, an important reference model is described in Advanced Product Quality Planning and Control Plan, that is a manual that communicate the guidelines of the product quality planning and control plan for internal and external suppliers. In this scenario, this paper evaluated the current situation and the future outlook for the adoption of Industry 4.0 technologies in the automotive OEM post-pandemic scenario on the point of view of automotive specialists. The results of this research provide an overview of the current situation and the future outlook for the usage of Industry 4.0 technologies by the Brazilian Northeast automotive OEM, from the perspective of manufacturing engineering experts on APQP.

scholarly journals Computer aided design of sequencing problem – the concept of Paint Shop 4.0

Mechanik ◽  
2018 ◽  
Vol 91 (7) ◽  
pp. 529-531
Author(s):  
Jolanta Krystek ◽  
Sara Alszer ◽  
Szymon Bysko
Keyword(s):  
Automotive Industry ◽  
Computer Aided Design ◽  
Industry 4.0 ◽  
Paint Shop ◽  
Actual Structure ◽  
New Approach ◽  
Digital Factory ◽  
Sequencing Problem ◽  
Car Body ◽  
Aided Design

Presented is the concept of paint shop operation for the automotive industry – Paint Shop 4.0, based on the ideas of Industry 4.0 and Digital Factory. A new approach to the issue of car body sequencing, taking into account the actual structure of the paint shop department with buffers, has been presented. In the created application, proprietary car body sequencing algorithms were implemented.

scholarly journals Industry 4.0 in the Italian automotive industry

2018 ◽  
Author(s):  
Francesco Zirpoli ◽  
Anna Cabigiosu
Keyword(s):  
Automotive Industry ◽  
Industry 4.0 ◽  
New Technologies ◽  
Auto Industry ◽  
Production Quality ◽  
Perceived Risks

The paper analyzes the Italian auto industry investments in Industry 4.0 technologies and firms’ perceived risks, constraints and limits to new technologies adoption. Results show that firms 4.0 are those at the higher level of the supply pyramid and closer to the final market, and are among the most innovative, dynamic and performing companies. Particularly firms invested to improve the Production, Quality, Logistics and Maintenance areas. The study also analyzes the relevance of the Italian Government’s plan for sustaining innovative investments and overall the main risks and constraints that could hinder the activation of Industry 4.0 initiatives in this setting.

scholarly journals Industry 4.0 through the lenses of technology, strategy, and organization A compilation of case study evidence

2020 ◽  
Vol 51 (11) ◽  
pp. 14-25
Author(s):  
Krisztina Demeter ◽  
Dávid Losonci ◽  
Róbert Marciniak ◽  
Judit Nagy ◽  
Péter Móricz ◽  
...  
Keyword(s):  
Case Studies ◽  
Automotive Industry ◽  
Technology Implementation ◽  
Industry 4.0 ◽  
Public Information ◽  
Technology Strategy ◽  
Comprehensive Investigation ◽  
Business Services ◽  
Management Literature

In the last few years, the management literature has become noisy with Industry 4.0 (I4.0). Although several concepts and typologies intend to make the phenomenon more understandable, these endeavours generally focus on technological aspects or specific issues. Therefore, integrated approaches of the I4.0 transformation on the business side and a comprehensive investigation of this phenomenon on the academic side are still needed. This paper synthetizes the lessons of 15 case studies from five sectors (automotive, FMCG, logistics services, retail, and business services) and places them in a triadic framework of technology, strategy, and organization. The case studies are based on interviews, internal documents and public information. This paper reveals that the analysed companies focus on I4.0 technologies that are substantially related to the development of core activities. Companies in a highly competitive global environment (e.g., automotive industry and business services) are more prepared and progress faster with I4.0 technology implementation.

Sign in / Sign up

Export Citation Format

Share Document