International Scientific Journals
of Scientific Technical Union of Mechanical Engineering "Industry 4.0"

Industry 4.0 which creates “smart factories” present a recent trend in development. The area represents a merge of cyberphysical systems and Internet of Things, which aims to improve manufacturing technologies. Industry 4.0 strives to boost the algorithms and technologies used in industrial processes during the production processes, process preparations, and products delivery. Our intention is to improve the robotics transport system in factory floor. There are a lot of different research approaches in this area for further improvement. Our approach is to deal with multi-agent systems control, because of the great potential it has in practical applications in industrial robotics. The strive for minimizing the work time and maximizing the efficiency can be satisfied through the usage of multiple coordinated agents to achieve the end goal. The use of Automated Guided Vehicles (AGVs), combined with concepts for task planning of multiple agents broadened during the late 20th century. In this paper, the multi-agent system consists of several mobile robots, in other words platforms, which need to transport materials in a workhouse. The goal of each mobile platform is to carry the specified object to a set position. These appointed goals are not predefined and can be changed according to the needs of the user. Working in a dynamic environment, numerous agents with different tasks to complete can be exposed to many obstacles which may be the cause of accidents. For this reason, a careful path planning is required in such environments. The suggested path planning algorithm for this system is A*. A* is a fast path finder, which can navigate quite well in a planar environment, but it is not favorable for dynamical settings. Therefore, a combination of the A* algorithm with a collision avoidance method is proposed for overcoming these difficulties. By doing this, the A* algorithm is expanded to work in dynamical situations and can assure the convergence of any agent towards their goal. This fusion of both, the path finding algorithm and the collision avoidance method, can aid the cooperation of the agents and improve the efficiency of the system as a whole.

Sustainable development is an integral part of economic development in all countries, even when attention is driven away from it. The balance between the need of humanity to produce and the desire to not destroy the planet in the process is constantly questioned and shaken. With the disruptive new models that Industry 4.0 has shown to the world, and with the constantly expanding opportunities for technologies, production, and improvement of the way businesses function, the question of sustainability stands. How will the new business models affect sustainable development, and will they manage to put humanity’s future in the spotlight? This paper explores the opportunities to sustainable development, introduced by Industry 4.0.

From the mid 70-es, when the microelectronic devices could be integrated into industrial product and production equipment, the cooperation among European countries entered into a new era. The author’s personal carrier has touched several areas of automation and networking technology aspects throughout this progress domain. Cooperation and international networking for industrial research and development has evolved along the development of ICT technologies that finally led to the advent of cyber-physical systems, IIoT and many related technologies as BigData, Cloud-computing, Analytics integrated with Artificial Intelligence, DeepLearning, remote and teleoperations, AR&VRetc. This paper gives selected samples form the vast initiatives presently accessible for those, who take up actions along the Industry4.0 global arena, as EU FPs, EUREKA, ManuFuture ETP,etc.

The development of “Smart Factories”, featured by the arrival of “Internet of Things”, “Cyber-Physical Systems”, “Cloud Computing”, “Big Data” etc., became widely deployed at the industrialized economies. Several researches highlighted the impact of utilizing such technologies (so-called Industry 4.0) on the industry; i.e. enhancement of products’ quality, manufacturing processes, and customers’ satisfaction. However, very few researchers focused on determining the impact of Industry 4.0 on enhancing the practice of Total Quality Management (TQM). This paper identified the set of qualitative and quantitative measures that can be used to determine the impact of implementing Industry 4.0 technologies at any industrial firm from a TQM perspective. The paper explored the TQM principles, identified qualitative and quantitative measures to be assessed, and suggested the means of data gathering sources and analysis techniques, hence, it would be possible in further research to determine the quantitative impact of Industry 4.0 on TQM

Nanostructured materials have unique properties which completely differ from the initial solid state condition. In this presentation we will discuss different techniques to fabricate such materials, their physical and optical parameters and characteristics, possible application areas. Main attention will be paid to aluminum and silicon nanostructured layers which are the promising alternatives of transparent semiconductors or metals as well as electroluminescent light emitting media.

In order to achieve its goal in using intelligent adaptive and predictive technical systems with self-X functions and cognitive information processing in continuous interaction with environment, the Industry 4.0 initiative implies integration of Cyber-Physical Systems (CPS), the Internet of Things (IoT) and cloud computing leading to what is called "smart factory". This, in turn, faces the CPS with new challenges in terms of increasing the degree of distribution, autonomy, mobility, communication and security of the systems and their components, as well as expanding their functionality in the direction of data analytics, information and knowledge extraction, and increasing their intelligence. This paper discusses and analyses the CPS in the context of Industry 4.0 and the main trends in the development of process automation and control in order to suggest an appropriate and advanced agent based approach for development of CPS for process control. The proposed approach is based on using the following standards – from one side the IEC61499 Standard for agent specification and from other side the IEC62264 and IEC 61512 Standards for defining the different kind of agents in the control system. The presented approaches are illustrated with a partly presented example of development of Injector control system. Finally some conclusions are made.

The future of industry contains many challenges. Necessity is to increase the degree of digitization and achieve a new level of productivity. The rise emergence of modern production lines operating in accordance with the concept of Industry 4.0 foresees the creation and implementation of new technologies and the emergence of autonomous production units capable of independent existence within the manufacturing process. They must closely communicate with other elements and cooperate with all the elements in the production process. In this article we describe architecture of theoretical cyber-physical system and give components and technologies necessary to implement a modern enterprise designed according to Industry 4.0 standards.

This study discusses the structure of Turkish National Innovation System (NIS) and challenges faced in the last decade in the context of the digital transformation. As a developing country and a member of G-20, how these challenges of Turkish NIS are mitigated and further be dealt with. It comprises lessons and provides cases for various similar NISs. In order to evaluate and provide policy recommendations for accelerating the transformation of Turkish economy, it benefits from systems approach as a basic academic framework. It is found that Turkey faces four key structural challenges calling for urgent response for their targets of 2023 (hundredth year of the Republic), namely productivity, growth, employment and investment. Implementing a relatively simple rule compatible with the peculiarities of the system and focusing on the diversity of policy mix, the study proposes ways to mitigate these structural challenges towards digital transformation.

Horizontal and vertical integration of companies within the value networks plays a substantial role for faster and wider implementation of Industry 4.0 and adoption of new digital business models. The policy for open data encourages companies to integrate more data flows coming from public sources into their operations. Thus, digital transformation of companies needs to reconsider the available public and open data flows and to improve their business models. The present paper aims to present and analyze how companies can integrate Open data in digital transformation process and new business models` adoption. The main elements of digital business models within Industry 4.0 and smart factories is introduced and discussed. Open data models and standards are analyzed and assessed as a source for value creation within companies. Finally, the paper identifies and discuss the main approaches for companies to implement open data into their business models.

The development in the information and communication technologies conditions the beginning of the fourth industrial revolution(FIR) The current report considers the peculiarities of the cyberphisical systems, as the basis of the fourth industrial revolution (Industry 4.0) and the need of their inner horizontal and vertical integration.

Aluminum nanostructured coatings are the promising alternatives to transparent semiconductors or metals. In this paper we describe the fabrication of these coatings by electrochemical anodization of aluminum deposited by magnetron sputtering on a glass substrate. The process of anodization is strictly controlled by process parameters followed by selective chemical etching of aluminum oxide. Optical transmittance and surface resistance depend on the mesh dimensions of Al nanostructured coatings and have been investigated theoretically and experimentally.

Due to increasingly competitive is required the companies to provide personalized products and services. This contributes not only to ensure custumer satisfactition, but also to require application of modern technical solutions like digitized solutions, specialized software, automation of production and services. All these changes are the foundation and the specificities of the fourth industrial revolution ("Industry 4.0)." This article performs the key features and principles of Industry 4.0, just like and the role and the requirements to the human factor. In this connection there are different scenarios applicable to companies in the light of the fourth technological revolution.