• TECHNOLOGIES

    An approach of FRA and its use for UFV supported manufacturing

    Machines. Technologies. Materials., Vol. 13 (2019), Issue 10, pg(s) 437-438

    While many modern industries are tending to use UFV (unmanned flying vehicles) in a near future, there are also many problems of yet unknown procedures to make possible the usage of such UFV. In a current age of aviation development there is an approach of FRA (free routing area) utilization to support growing congestion of many flying vehicles in air space. From our prospective, those manufacturing implementing “Industry 4.0” ideas are expected to use UFV to support supply chains. Hence, both problems and solution approaches to support many aircraft in airspace and to control airspace congestion within safe boundaries can be used also in a local scale of UFV supported manufacturing. This research paper is focused on problems and ability to build routes within FRA and analysis of possible use of known approaches to solve similar problems of modern automated manufacturing.

  • THEORETICAL PROBLEMS IN INNOVATIONS

    The innovative development of quality management

    Innovations, Vol. 7 (2019), Issue 4, pg(s) 124-126

    Smart Products have information about their manufacturing processes, management of their quality, future application and recycling. They actively support the production processes (when they will be produced, with what parameters, with what materials they should be produced, where their quality control should be located , when, what modifications, etc.). In these conditions, quality management should meet new requirements imposed by the fourth industrial revolution.

  • INNOVATION POLICY AND INNOVATION MANAGEMENT

    Building an interpretive structural model for factors defining co-participation level in an Industry 4.0 environment

    Innovations, Vol. 7 (2019), Issue 3, pg(s) 101-104

    This publication addresses the factors that support the process of developing an individual approach to customers, which is one of the main tasks of the so-called Fourth Industrial Revolution or Industry 4.0. The emphasis is on the study of the interrelationships and the interaction between these factors and their integration in a structured way, with the help of the so-called Interpretive Structural Modeling (ISM) to help integrate them into a comprehensive conceptual framework that represents producer-customer interactions under Industry 4.0 conditions and, as a result, increase the efficiency of the process of creating value according to the individual requirements and expectations of the customer.

  • BUSINESS & “INDUSTRY 4.0”

    Measuring the level of digital maturity of Bulgarian industrial enterprises

    Industry 4.0, Vol. 4 (2019), Issue 5, pg(s) 258-264

    Bulgaria is considerably lagging behind the general trends in the EU for the introduction of a digital society and it is therefore necessary to adopt specific measures and to focus efforts on overcoming the lagging behind. Creating the right conditions for the introduction of Industry 4.0 will support, on the one hand, the competitiveness of production and attracting investment in the economy and, on the other, will help to increase efficiency in optimal resource use. The aim of the study is to reveal the possibilities for digital transformation of the Bulgarian business and to give recommendations for process transformation, using adequate strategic tools. The results of the study show that investment and innovation in IT are a key factor in boosting productivity in the EU and it is expected that three quarters of the value of the digital economy will come from traditional sectors (industry), so it is crucial to support its digital transformation.

  • BUSINESS & “INDUSTRY 4.0”

    The impact of Industry 4.0 on the competitiveness of SMEs

    Industry 4.0, Vol. 4 (2019), Issue 5, pg(s) 250-255

    The small and medium sized enterprises (SMEs) are the foundation of the growth of most European economies. Although increasing of their competitiveness is high on the agendas of the policy makers, the business support organisations, and the entrepreneurs and managers themselves, there is still lack of relevant discussion regarding the SMEs’ development through implementation of Industry 4.0 principles. The conducted analysis has also noted a difference in the relevant literature for the definition of the I4.0 and its scope. Based on this we find it necessary to propose definition which clearly explains the objectives of I4.0 and defines its scope. Furthermore, this paper presents potential opportunities for and implemented impact of I4.0 on SMEs with insight in the developments in Bulgaria. The analysis presents the benefits from and the obstacles for implementation of Industry 4.0. Such transformation raises critical discussion for the influence over the workers’ education and skills, and the product lifecycles. This paper also examines the role of the governments as enabler of SMEs in the implementation process.

  • DOMINANT TECHNOLOGIES IN “INDUSTRY 4.0”

    The approach to cut relevant airspace area for flights planning and automated routing

    Industry 4.0, Vol. 4 (2019), Issue 5, pg(s) 220-222

    Airspace is now one of the most frequently mentioned environments when discussing technologies of autonomous or unmanned vehicles or machines. There is a number of technologies developed to support unmanned flying vehicles (UFV) and so called air drones. The actual influence of such kind of machines on transport industry is crucial. It is also obvious, that many modern military operations involve UFV with built-in AI or remote control. Nevertheless, one of important problems for any flying vehicle (aircraft or drone either) is to plan the most suitable route satisfying all necessary primary and collateral requirements: reach destination, consume minimum fuel or energy, follow the safest areas, avoid adverse circumstances etc. Among the tasks to build the effective route for the flight we find an important problem to cut a relevant area in airspace to perform route search. This research is dedicated to discuss and ground the basics of a reliable approach to solve this problem.

  • TECHNOLOGICAL BASIS OF “INDUSTRY 4.0”

    Reference framework and architecture for development of cyber-physical systems

    Industry 4.0, Vol. 4 (2019), Issue 5, pg(s) 212-215

    The strategic initiative Industry 4.0 implies integration of Cyber-Physical Systems (CPS), Internet of Things (IoT) and cloud computing, leading to what is called “smart factory”. The lack of theoretical foundation and methodologies creates barriers that may hamper the adoption, commercialization, and market success of the new CPS applications. The reference frameworks and architectures support the analysis and specification of domains, and facilitates the unification of methods used by various disciplines such as industrial engineering, control theory, communication and information technology, thus making possible their combined use. The paper presents an analysis of the benefits and use of reference frameworks and architectures in the development of CPS. Standardized meta-models of reference frameworks and architectures are presented. Particular attention is paid to the NIST reference framework and architecture of CPS, with a view to establishing a methodology for development of Cyber-Physical Production Systems.

  • TECHNOLOGICAL BASIS OF “INDUSTRY 4.0”

    Industry 4.0: Emerging challenges for dependability analysis

    Industry 4.0, Vol. 4 (2019), Issue 5, pg(s) 206-209

    Industry 4.0 brings new challenges for the quantitative methods for the evaluation of system dependability properties such as reliability and safety. In this paper, we recall relevant Industry 4.0 and dependability concepts and provide an overview of available reliability and safety metrics and evaluation methods including event trees, fault trees, reliability block diagrams, and more sophisticated dynamic methods based on Markov chain models. The special focus is on the model-based application of these methods. The paper discusses several common MBSE paradigms, such as UML/SysML, AADL, and Simulink, that can be employed in the context of Industry 4.0 and allow automated generation of the dependability evaluation models. Finally, we discuss how the Industry 4.0 increases system complexity, justify what kind of dependability evaluation methods are required, and what limitations we still need to overcome.

  • TECHNOLOGICAL BASIS OF “INDUSTRY 4.0”

    Cognitive styles affecting the performance of research and development (R&D) employees in the era of Industry 4.0

    Industry 4.0, Vol. 4 (2019), Issue 5, pg(s) 203-205

    Cognitive style is how people think, based on certain attitudes, perceptions and personality orientations. Cognitive styles are considered as basic elements for successful performance. Cognitive style is thought to predict performance in two ways: by allowing employees to quickly learn job-related knowledge and by processing information resulting in better decision making. But cognitive styles have received much less attention than they deserve, given their importance to employee’s functioning. The relationship between cognitive style and performance is not completely understood in scientific research. In this context, the thinking styles and performances of people working in Research and Development (R & D) departments such as other work places are determined by these cognitive styles, and it is important to research this in the era of Industry 4.0.

  • Industry 4.0 competencies’ gap analysis

    Industry 4.0, Vol. 4 (2019), Issue 4, pg(s) 153-156

    Because of emergence of Industry 4.0, the manufacturing systems are becoming extremely complex and, despite increasing IT support, they need a new generation of professionals with competences ranging from basic manufacturing processes to information technologies. Worldwide academia is adapting existing courses and is introducing new courses and study programmes to prepare university graduates to face the challenges of Industry 4.0. Such an endeavour is the Erasmus+ project MSIE 4.0 that unites universities from Thailand, Portugal, Poland and Romania. First project’s aim was to determine the real needs for specific competences, by analysing the curricula from several universities. Also, it was organised a survey on needed competences with industrial organisations and students from industrial engineering programmes. Based on the results obtained in these activities, an analysis was performed in order to determine the gap between the required and the actual sets of competences. The results obtained in Romania are presented in this paper.

  • Modeling and simulation of circulating fluidized bed biomass gasifiers in view of Industry 4.0

    Industry 4.0, Vol. 4 (2019), Issue 4, pg(s) 150-152

    Cyber-physical systems are structures that are controlled and monitored by computer-based algorithms consisting of physical components. The energy industry is becoming a large and complex cyber physical system with the industrial revolution. These developments in the energy sector have a positive effect on Industry 4.0. Developments in the fields of production, transmission and distribution, retail sales, trade and consumption from the elements of the energy sector are increasing day by day via sensor-based communicable autonomous systems. U.N. Industrial Revolution in its report in 2017 elaborate the relevancy between the Sustainable Development Goals no. 7 and 9 about sustainable energy and inclusive industry development that Industry 4.0 and sustainable energy transition share crucial concerns that can be interconnected to pursue a sustainable energy transition. Sustainable energy is defined to have two main components: energy efficiency and renewable energy. UNIDO’s initial hypothesis tells that a comprehensive shift in manufacturing may change the behavior in energy consumption, including energy efficiency and renewable energy usage. Circulating fluidized bed (CFB) technology is one of the important factors contributing to the above mentioned concept of sustainable energy.

  • Industry 4.0 competencies’ gap analysis

    Industry 4.0, Vol. 4 (2019), Issue 3, pg(s) 138-141

    Because of emergence of Industry 4.0, the manufacturing systems are becoming extremely complex and, despite increasing IT support, they need a new generation of professionals with competences ranging from basic manufacturing processes to information technologies. Worldwide academia is adapting existing courses and is introducing new courses and study programmes to prepare university graduates to face the challenges of Industry 4.0. Such an endeavour is the Erasmus+ project MSIE 4.0 that unites universities from Thailand, Portugal, Poland and Romania. First project’s aim was to determine the real needs for specific competences, by analysing the curricula from several universities. Also, it was organised a survey on needed competences with industrial organisations and students from industrial engineering programmes. Based on the results obtained in these activities, an analysis was performed in order to determine the gap between the required and the actual sets of competences. The results obtained in Romania are presented in this paper.