Advanced Manufacturing Metrology in Context of Industry 4.0 Model

2019 ◽  
pp. 1-11 ◽  
Author(s):  
Vidosav D. Majstorovic ◽  
Numan Durakbasa ◽  
Yasuhiro Takaya ◽  
Slavenko Stojadinovic
Keyword(s):  
Industry 4.0 ◽  
Advanced Manufacturing

Big data/analytics platform for Industry 4.0 implementation in advanced manufacturing context

2021 ◽  
Author(s):  
Renan Bonnard ◽  
Márcio Da Silva Arantes ◽  
Rodolfo Lorbieski ◽  
Kléber Magno Maciel Vieira ◽  
Marcelo Canzian Nunes
Keyword(s):  
Big Data ◽  
Industry 4.0 ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Advanced Manufacturing

scholarly journals Highlighting the benefits of Industry 4.0 for production: an agent-based simulation approach

2020 ◽  
Vol 27 (3) ◽  
Author(s):  
Julio Takashi Cavata ◽  
Alexandre Augusto Massote ◽  
Rodrigo Filev Maia ◽  
Fábio Lima
Keyword(s):  
Manufacturing Process ◽  
Industry 4.0 ◽  
Simulation Method ◽  
Production Performance ◽  
Time Interval ◽  
Advanced Manufacturing ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Manufacturing Simulation ◽  
Traditional Manufacturing

Abstract: Advanced Manufacturing or Industry 4.0 concepts bring new advances and challenges to current industrial processes. Such concepts are not always well understood and their results in terms of production performance may not be clear. This work proposes a comparison between a traditional manufacturing process and an advanced manufacturing process, both modelled by a multiagent society. In the traditional manufacturing simulation, the agents follow the defined times of each process, including the maintenance times. In the advanced manufacturing simulation, the decision about when to stop a piece of equipment for maintenance is defined by the agent according to data received from sensors and the definitions of the process. The results indicate a significant improvement in equipment usage and consequently higher production in the same time interval. The process simulation clearly indicates that the application of advanced manufacturing concepts in industry is relevant in order to increase the efficiency of production processes. Among the main concepts introduced in advanced manufacturing models are the Internet of Things (IoT), Cyber-Physical Systems (CPSs), and Artificial Intelligence (AI). The models generated are computationally simulated using an agent-based simulation method from the software AnyLogic. The results obtained should contribute to encouraging small and medium sized enterprises to adopt the concepts of Industry 4.0 in their businesses.

scholarly journals New Strategic Approaches to Gaining from Emerging Advanced Manufacturing Markets

2021 ◽  
Vol 15 (3) ◽  
pp. 6-21
Author(s):  
Yuri Simachev ◽  
◽  
Anna Fedyunina ◽  
Maksim Yurevich ◽  
Mikhail Kuzyk ◽  
...  
Keyword(s):  
Industrial Policy ◽  
Industry 4.0 ◽  
High Tech ◽  
Advanced Manufacturing ◽  
Industrial Policies ◽  
Competitive Edge ◽  
Structure And Dynamics ◽  
Wide Range ◽  
Current Context

Advanced Manufacturing (AM) markets are a major factor of contemporary worldwide growth that to a large extent determines countries’ competitiveness. Strengthening and/or optimizing the positions on AM markets is among the major challenges for modern industrial policy. This article discusses the structure and dynamics of the development of advanced manufacturing markets, as well as the specifics of the policies of the countries strengthening their positions in these markets. Gaining entry into AM markets currently implies individual countries’ and industries’ adopting different models which combine a wide range of factors. Small nations are rapidly applying such approaches, gaining advantages and thus increasing their competitive edge, which creates certain challenges for leading high-tech countries too slow to adjust their industrial policies. So far the basis for Industry 4.0 markets is just emerging, and remains limited to a few nations including developing ones. Country cases are presented below to illustrate the development of AM markets. The authors conclude that in the current context, no universal approaches to shaping a successful industrial policy remain. The most productive strategy is to combine the unique advantages of a particular economy.

Advanced Manufacturing or Industry 4.0 Scholarly Works: Are They Relevant to Technology Development?

2021 ◽  
pp. 349-358
Author(s):  
Izaskun Alvarez-Meaza ◽  
Jon Borregan-Alvarado ◽  
Ernesto Cilleruelo-Carrasco ◽  
Rosa Maria Rio-Belver
Keyword(s):  
Industry 4.0 ◽  
Technology Development ◽  
Advanced Manufacturing

scholarly journals Operating Digital Manufacturing in Industry 4.0: the role of advanced manufacturing technologies

Procedia CIRP ◽  
2020 ◽  
Vol 93 ◽  
pp. 174-179
Author(s):  
Elias Ribeiro da Silva ◽  
Ana Carolina Shinohara ◽  
Christian Petersson Nielsen ◽  
Edson Pinheiro de Lima ◽  
Jannis Angelis
Keyword(s):  
Industry 4.0 ◽  
Digital Manufacturing ◽  
Advanced Manufacturing ◽  
Advanced Manufacturing Technologies ◽  
Manufacturing Technologies

scholarly journals Comparative analysis between challenges in a Brazilian perspective and worldwide initiatives in Advanced Manufacturing

2018 ◽  
Vol 15 (2) ◽  
pp. 209-223 ◽  
Author(s):  
Guilherme Mancilha ◽  
Jefferson Gomes
Keyword(s):  
Comparative Analysis ◽  
Detailed Analysis ◽  
Industry 4.0 ◽  
Advanced Manufacturing ◽  
Brazilian Government ◽  
Research Intensity ◽  
Global Initiatives

The purpose of this paper is to analyze possible actions to overcome the challenges in the process of development Advanced Manufacturing in Brazil, based on a comparative analysis of projects developed in these subjects in other countries and a survey of research intensity on the theme. The first step is the survey of Brazil's Challenges in Advanced Manufacturing based on the results of a series of workshops conducted by the Brazilian government with experts, followed by validation and consolidation of results by confronting with a National Confederation of Industries' survey on Industry 4.0. The second brings a survey of the intensity and relevance of the research on the main aspects of the theme. The last step presents a correlation of the main challenges raised in the first step with global initiatives that work on these subjects, as well as a detailed analysis of the main challenges. The results highlight a direction for the sector from the analysis of research intensity on the themes and a matrix with 40 initiatives correlated to this challenge. From that, it is possible to conclude that the challenges can be overcome by integrating government, companies and universities into initiatives focused on the technologies needed to serve the priority sectors.

scholarly journals Simulation-based analysis of AGV workload used on aircraft manufacturing system: a theoretical approach

2020 ◽  
Vol 42 ◽  
pp. e47034
Author(s):  
Victor Abreu Nunes ◽  
Gustavo Franco Barbosa
Keyword(s):  
Theoretical Approach ◽  
Industry 4.0 ◽  
Manufacturing System ◽  
Discrete Event ◽  
Production Costs ◽  
Automated Guided Vehicles ◽  
Shop Floor ◽  
Advanced Manufacturing ◽  
Digital Factory ◽  
Aircraft Manufacturing

competitiveness in the aircraft manufacturing industry requires continuous improvement and modernization of its manufacturing processes, in order to keep the companies competitive in the market. In this context, the use of advanced manufacturing technologies and systems has been incessantly pursued to achieve productivity gains, sustainability and reduction of production costs, as well as being important in the individuals’ quality of life. Autonomous robotic systems such as Automated Guided Vehicles (AGVs) have been used on shop floor to assist the aggregation of these competitive advantages to the business. Coupled to the use of these vehicles, other technologies such as the internet, digital factory and cloud-computing have been integrated into manufacturing in direction of the so-called advanced manufacturing, or Industry 4.0. Thus, this work aims to apply the concepts of digital factory in an example of aircraft manufacturing system, to analyze the efficiency and workload of the AGVs that transport materials from the warehouse to the assembly stations. Based on a theoretical approach by discrete-event simulation method and guided by the principles of Industry 4.0, analysis related to needed amount of AGVs, cycle times, deliveries and downtime of the vehicles were performed for different situations. Thus, it searches for better results in terms of productivity and decision-making support regarding adding-value related to materials transporting and information over long distances, delays, waiting and unnecessary movement of workers, in order to obtain improvement and profits for the aircraft manufacturing system.

scholarly journals Emergence of Futuristic HRM in Perspective of Human - Cobot’s Collaborative Functionality

2021 ◽  
Vol 10 (5) ◽  
pp. 292-296
Author(s):  
Amit Saxena ◽  
Abhay Saxena ◽  
Rajeev Sharma ◽  
Mukesh Parashar
Keyword(s):  
Human Resource ◽  
Paradigm Shift ◽  
Industry 4.0 ◽  
Smart Manufacturing ◽  
Advanced Manufacturing ◽  
Cognitive Computing ◽  
Collaborative Robots ◽  
The World ◽  
Effective Role

Industry 4.0 buzzed out with a theme of “Smart Manufacturing for the Future”. With the advent of Industry 5.0, the world of technology is registering a paradigm shift from Customization to Personalization. Advanced Manufacturing, Cognitive Computing, AI, Robotics, Collaborative Robots, where all these technologies altogether introduces Industry 5.0 onto the stage. Cobot’s will be part of Human Resource Management. This Paper aims to visualize the Futuristic HRM and to understand the Collaborative Robots performance with Human HR’s. In this study, we had discussed the possible issues related to human-robot collective functionality from the organizational and HRM perspective. We had also suggested the effective role of HR and Cobot HR while dealing with the human and machine employees. We believe that the issues identified in this study will pave way for many upcoming organizational robotics research studies.

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