scholarly journals Povećana sigurnost radnika primjenom kolaborativnih robota u proizvodnim procesima Industrije 4.0

Sigurnost ◽  
2020 ◽  
Vol 62 (1) ◽  
pp. 11-18
Author(s):  
Isak Karabegović ◽  
Edina Karabegović
Keyword(s):  
First Generation ◽  
Industrial Revolution ◽  
Industrial Robots ◽  
Smart Manufacturing ◽  
Medium Size ◽  
Collaborative Robots ◽  
Production Processes ◽  
Working Together ◽  
Levels Of Automation ◽  
Complete Automation

SUMMARY: By applying Industry 4.0, modernization of the production processes in industry is achieved. However, the safety of workers must be a priority. Automation of production processes and raising it to a higher level can be achieved by employing collaborative robots working together with workers. The degree of safety measures guarantees that there are no work injuries. In using collaborative robots we exploit all the advantages that they possess over first-generation industrial robots. They work together with workers, workers work in a safe environment, robots take up less space, they are not physically separated from workers, they are easy to manipulate, they are cheaper, and are suitable for small and medium size companies. We have the possibility of introducing different levels of automation in the production process, i.e. we can partially automate the tasks where complete automation is too complex or not economical. The use of collaborative robots will grow in the future, since the goals of the fourth industrial revolution cannot be achieved without collaborative robots, in other words, without the "smart manufacturing process" or "smart factory".

scholarly journals Towards smart biomanufacturing: a perspective on recent developments in industrial measurement and monitoring technologies for bio-based production processes

2020 ◽  
Vol 47 (11) ◽  
pp. 947-964 ◽  
Author(s):  
Carina L. Gargalo ◽  
Isuru Udugama ◽  
Katrin Pontius ◽  
Pau C. Lopez ◽  
Rasmus F. Nielsen ◽  
...  
Keyword(s):  
Industrial Revolution ◽  
Control Strategies ◽  
Smart Manufacturing ◽  
Monitoring And Control ◽  
Large Sets ◽  
Production Processes ◽  
Recent Developments ◽  
Monitoring Technologies ◽  
And Control ◽  
Industrial Measurement

AbstractThe biomanufacturing industry has now the opportunity to upgrade its production processes to be in harmony with the latest industrial revolution. Technology creates capabilities that enable smart manufacturing while still complying with unfolding regulations. However, many biomanufacturing companies, especially in the biopharma sector, still have a long way to go to fully benefit from smart manufacturing as they first need to transition their current operations to an information-driven future. One of the most significant obstacles towards the implementation of smart biomanufacturing is the collection of large sets of relevant data. Therefore, in this work, we both summarize the advances that have been made to date with regards to the monitoring and control of bioprocesses, and highlight some of the key technologies that have the potential to contribute to gathering big data. Empowering the current biomanufacturing industry to transition to Industry 4.0 operations allows for improved productivity through information-driven automation, not only by developing infrastructure, but also by introducing more advanced monitoring and control strategies.

Project-Driven Digital Transformation Management

2020 ◽  
Vol 8 (4) ◽  
pp. 27-34
Author(s):  
A. Lahova
Keyword(s):  
Industrial Revolution ◽  
New Technologies ◽  
Digital Transformation ◽  
Digital Products ◽  
Fourth Industrial Revolution ◽  
Production Processes ◽  
Transformation Approach ◽  
Complete Automation ◽  
Petrochemical Company ◽  
Main Components

The mankind is on the verge of the fourth industrial revolution that leads to the emergence of new technologies, digital products and the complete automation of most production processes. The numerous companies nowadays are concerned at the persistence of their competitive positions on the market and, therefore, address to the implementation of digital transformation. Nevertheless, digital transformation is a new phenomenon, and companies on the verge of digitalization are puzzled by the issue of applying the correct approach to managing digital change. This paper highlights the main components of a successful digital transformation approach, and suggests a way to implement a digital transformation for a petrochemical company.

Socio-Technological Aspects of Automation in Public Works Activities

1987 ◽  
Vol 19 (3-4) ◽  
pp. 633-643
Author(s):  
William F. Garber
Keyword(s):  
Industrial Revolution ◽  
Work Force ◽  
Public Works ◽  
Human Society ◽  
Training Problem ◽  
Total Employment ◽  
The Usa ◽  
History Of ◽  
Complete Automation ◽  
The Impact

The history of human society is replete with examples of advances in technology overrunning the ability of societal organizations to efficiently handle the resulting massive societal dislocations. The social impacts of the “Industrial Revolution of the 18th and 19th Centuries” illustrate how profound such effects can be. The automation-computer-robotics revolution now underway also has the potential for serious societal changes. In this regard public works activities are subject to increasing amounts of automation with impacts upon current and net total employment and training needs. To evaluate the present status of automation in the USA, questionnaires were sent to public works authorities in 110 cities or agencies. The current degree of automation, the impact upon employment and the skills now needed by public works employers were queried. It was found that in most cases automation was just starting; but that as complete automation as was possible was inevitable given the increasing complexity of the tasks, the demands of the public and the long term prospects for public works funding. In many cases the candidates now in the work force were not properly trained for automation needs. Retraining and changes in the educational system appeared necessary if the employees now needed were to be continuously available. Public works management as well as several labor organizations appeared to be aware of this need and were organizing to handle the training problem and the changes in employment qualifications now necessary. It appeared to be a consensus that the larger societal effects of automation should be handled by society as a whole.

scholarly journals Behavioural Study of the Force Control Loop Used in a Collaborative Robot for Sanding Materials

Materials ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 67
Author(s):  
Rodrigo Pérez Ubeda ◽  
Santiago C. Gutiérrez Rubert ◽  
Ranko Zotovic Stanisic ◽  
Ángel Perles Ivars
Keyword(s):  
Force Control ◽  
Feed Rate ◽  
Significant Variation ◽  
Industrial Robots ◽  
Control Loop ◽  
Saturation State ◽  
Collaborative Robots ◽  
Increase Productivity ◽  
Different Characteristics ◽  
Collaborative Robot

The rise of collaborative robots urges the consideration of them for different industrial tasks such as sanding. In this context, the purpose of this article is to demonstrate the feasibility of using collaborative robots in processing operations, such as orbital sanding. For the demonstration, the tools and working conditions have been adjusted to the capacity of the robot. Materials with different characteristics have been selected, such as aluminium, steel, brass, wood, and plastic. An inner/outer control loop strategy has been used, complementing the robot’s motion control with an outer force control loop. After carrying out an explanatory design of experiments, it was observed that it is possible to perform the operation in all materials, without destabilising the control, with a mean force error of 0.32%. Compared with industrial robots, collaborative ones can perform the same sanding task with similar results. An important outcome is that unlike what might be thought, an increase in the applied force does not guarantee a better finish. In fact, an increase in the feed rate does not produce significant variation in the finish—less than 0.02 µm; therefore, the process is in a “saturation state” and it is possible to increase the feed rate to increase productivity.

scholarly journals Effects of Industry 4.0 on the Labor Markets of Iran and Japan

Economies ◽  
2018 ◽  
Vol 6 (3) ◽  
pp. 39 ◽  
Author(s):  
Majid Ziaei Nafchi ◽  
Hana Mohelská
Keyword(s):  
Labor Markets ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Developed Countries ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Science Technology ◽  
Levels Of Automation ◽  
Technology And Economy ◽  
The Impact

Industry 4.0 is the essence of the fourth Industrial revolution and is happening right now in manufacturing by using cyber-physical systems (CPS) to reach high levels of automation. Industry 4.0 is especially beneficial in highly developed countries in terms of competitive advantage, but causes unemployment because of high levels of automation. The aim of this paper is to find out if the impact of adopting Industry 4.0 on the labor markets of Iran and Japan would be the same, and to make analysis to find out whether this change is possible for Iran and Japan with their current infrastructures, economy, and policies. With the present situation of Iran in science, technology, and economy, it will be years before Iran could, or better say should, implement Industry 4.0. Japan is able to adopt Industry 4.0 much earlier than Iran and with less challenges ahead; this does not mean that the Japanese labor market would not be affected by this change but it means that those effects would not cause as many difficulties as they would for Iran.

Towards Chinese smart manufacturing ecosystem in the context of the one belt one road initiative

2018 ◽  
Vol 11 (3) ◽  
pp. 291-310 ◽  
Author(s):  
Rafif Al-Sayed ◽  
Jianhua Yang
Keyword(s):  
Industrial Revolution ◽  
Structured Interview ◽  
Industrial Clusters ◽  
Added Value ◽  
Smart Manufacturing ◽  
Content Type ◽  
Factors Affecting ◽  
Industrial Sectors ◽  
Regional Collaboration

Purpose The purpose of this paper is to examine empirically China’s determined thrust to attain a high level of technological innovation and the factors affecting moving towards a smart and sophisticated manufacturing ecosystem in conjunction with the Belt and Road Initiative (OBOR). Design/methodology/approach This research provides empirical determination of the factors affecting moving towards smart manufacturing ecosystems in China. The method is based on combining two approaches: semi-structured interview and questionnaire-based with academics, experts and managers in various Chinese industrial sectors. The results are based on the multivariate analysis of the collected data. A case study of the current manufacturing ecosystem was also analyzed, in order to understand the present state as well as the potential for China’s competitive edge in the developed OBOR countries. Findings The results illustrate the importance of the infrastructure dimension comprising variables related to ecosystems, industrial clusters and Internet of Things IoT and other advanced technologies. A case study of the city of Shenzhen’s transformation into a smart cluster for innovative manufacturing points out how China’s OBOR initiative for regional collaboration will further transform the regional smart clusters into an ultra-large innovation based smart ecosystem. Originality/value This research is the first to study China’ policies towards playing a prominent role in the Fourth Industrial Revolution 4IR in the context of the OBOR initiative, through empirically defining the factors affecting moving towards a knowledge-intensive smart manufacturing ecosystem where the added value is mostly innovation based.

scholarly journals Important Business Considerations For Successful Entry Into The China Market

2013 ◽  
Vol 10 (1) ◽  
pp. 65-82
Author(s):  
Sooun Lee ◽  
Joshua Schwarz ◽  
James Coyle ◽  
Thomas Boulton ◽  
Naoki Kameda
Keyword(s):  
International Management ◽  
Cross Cultural ◽  
Medium Size ◽  
Marketing Plan ◽  
Management Skills ◽  
Chinese Market ◽  
Cross Cultural Communication ◽  
South Korean ◽  
Wide Range ◽  
Working Together

This case requires students to practice international management skills as they consider a wide range of important business questions for a medium-size US company looking to enter the Chinese market. Over the course of four separable modules, students determine the best entry strategy for the company, how to finance the project, how to select the best project manager and how to develop an initial marketing plan. Faculty can choose to assign some or all modules. In addition, the authors, who have implemented this case multiple times with American, Chinese, South Korean and Japanese students working together, discuss the cross-cultural lessons they have learned and recommend ways to improve cross-cultural communication. Specific case questions and case resources are provided.

scholarly journals Approach to an automatic prediction of the state of industrial manipulators using machine learning methods

2021 ◽  
Vol 24 (1) ◽  
pp. 48-54
Author(s):  
A. S. Goncharov ◽  
◽  
A. O. Savelev ◽  
A. S. Pisankin ◽  
A. Y. Chepkasov ◽  
...  
Keyword(s):  
Machine Learning ◽  
Information Technologies ◽  
Industrial Revolution ◽  
Industrial Robots ◽  
Learning Methods ◽  
Emergency Situations ◽  
Machine Learning Methods ◽  
Technological Chain ◽  
Using Data ◽  
Working Out

Due to intensive development of information technologies and the onset of 4th industrial revolution the number of robotic industries is steadily growing. The volume of production and the use of robots is also increasing. At the same time, the support and the management of digital production is being rapidly developing. The robotic systems are incapable of completely excluding a person from the technological chain, since they need timely maintenance and personnel working out the emergency situations. One of the solutions to reduce the risk of unexpected breakdowns is a predictive approach to the maintenance. The implementation of this approach is carried out using data analysis tools. This study presents the results of applying machine learning methods to analyze data from industrial robots in order to predict potential failures

scholarly journals The future of industry with collaborative robots

2019 ◽  
Vol 299 ◽  
pp. 02008 ◽  
Author(s):  
Miriam Matúšová ◽  
Marcela Bučányová ◽  
Erika Hrušková
Keyword(s):  
Quality Of Life ◽  
Production Process ◽  
Large Range ◽  
Industrial Robot ◽  
Industrial Robots ◽  
User Requirements ◽  
Collaborative Robots ◽  
The Future ◽  
Collaborative Robot

Rapidly changing user requirements, improving of quality of life or increased safety at work are allarguments for introducing flexible automation that replaces strenuous or dangerous work. Industrial robots with adaptive directing are now deployed to most industries due to their large range of uses. Theirmain addition for manufacturing is to eliminate downtime of complete operating and manipulating production process, to make easier all particular operation in accordance with ergonomics. The paper describescomparing between conventional industrial robot and collaborative robot.

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