Industry 4.0
Vol. 8 (2023), Issue 2

Table of Contents

  • TECHNOLOGICAL BASIS OF “INDUSTRY 4.0”

  • DOMINANT TECHNOLOGIES IN “INDUSTRY 4.0”

    • Conceptual design and 3D modeling of a microfluidic device for liver cells investigation

      pg(s) 39-41

      The cell engineering is one of the most developing fields during the last decade needing specially fabricated polymer microfluidic devices and systems. One of the main functionalities of the microfluidic devices is to mimic the in-vivo environment where the cells and tissue live. The various types in-vitro microfluidic devices and systems could replace the experiments with animals in the biomedical investigations. The aim of this publication is 3D modeling and simulation of a microfluidic device for liver cells investigation. Suitable materials could be used with main properties related with fully transparency and bio-compatibility of the selected polymers. A new technology for development of the microfluidic device will be proposed, incorporating a thin layer of liver cells for investigation of their behavior during treatment with different substances. The conceptual work principle of the developed bio-chip will be presented. The future investigations, related to the fabrication of a real physical prototype and research experiments will be mentioned briefly in conclusions.

    • Robust Control With Fuzzy Based Neural Network For Robot Manipulators

      pg(s) 42-46

      The utilization of robotic systems is prevalent in various industries, such as defence and automotive, and is commonly utilized in industrial settings. The movements of these systems can be controlled through software programming, allowing for the manipulation of objects and modification of trajectory as desired. However, it is important to exercise caution during these operations as improper manipulation may result in undesired outcomes. As a result, the control of robotic systems has become a crucial aspect in modern industry.
      The parameters of robotic systems are subject to change based on the loads they carry. Robust control is a method that adapts the control system to accommodate these changes in parameters, thereby maintaining stability and performance. This control method allows for the desired level of control to be maintained even in the presence of changing system parameters. In contrast to traditional robust control methods, robust control utilizes variable parameters with a constant upper limit for parameter uncertainty. Control parameters are updated over time using cosine and sine functions, however, determining appropriate values for these parameters can be challenging. To address this issue, a neural network model utilizing fuzzy logic compensator is employed to continuously calculate the appropriate control parameter values. The effectiveness of this proposed control method is demonstrated through graphical representation.

    • Heat-insulating lightweight concretes and composite materials on the basis of inorganic binders with application in construction

      pg(s) 47-51

      A general overview of a number of thermal insulation materials and products made on the basis of inorganic binders (mainly Portland cement) is presented. The technological methods of production, the main operational indicators and the application in construction of various heat-insulating and structural-heat-insulating lightweight concretes are examined. The structure of various cellular concretes (foam concretes and aerated concretes), composite materials and lightweight aggregate concrete was analyzed. The role of the origin, technological processing, characteristics and composition of different types of light additive materials for the formation of the final operational properties of the products has been traced.

    • Structural analysis of Formula Student vehicle chassis using Ansys software

      pg(s) 52-56

      Formula Student is a student engineering competition. Students all over the world compete to build a racing vehicle. One of the main elements of this vehicle is the vehicle chassis. The chassis is one of the most important elements from the aspect of driver safety. There are different chassis design concepts. The two most common are the monocoque chassis and the tubular chassis. In this paper, a detailed structural analysis of the tubular chassis of the Formula Student vehicle was performed using the software. The chassis model was created in the CATIA software, and then the structural analysis was done in the ANSYS software. By applying modern software, it is possible to better understand the problems during construction, and significant financial and time savings can be made. ANSYS software can also be of great help in chassis optimization.

  • BUSINESS & “INDUSTRY 4.0”

    • Developing spreadsheet model for organizing replenishment process in small and medium enterprises

      pg(s) 57-59

      Spreadsheet software is commonly used in small and medium enterprises for a wide range of processes including analyzing the collected data, monitoring over the dynamics in data values, grouping and sorting, automating daily tasks, etc. Its automation features allow applying additional processing of the available data to make helpful suggestions for the managers. This paper describes the steps to develop a tool based on a spreadsheet model that could help managers in the procurement process. The main features of the presented model are: calculating safety stock based on a chosen rule; suggesting the reorder point and the latest reorder date for the articles; marking articles in different colors for the purposes of prioritization and grouping in one delivery from the same supplier. The consumption forecast is calculated using extrapolated historical data. The tool could be used by the procurement managers in order to automate their daily tasks on monitoring the stock levels. The model is adjustable and could include additional data sources (i.e. pre ordered quantities, etc.) to increase its the accuracy or exclude some of the data sources (i.e. historical data on the consumption), using only preprocessed indicators (i.e. mean consumption) with tradeoffs on its accuracy.

  • SOCIETY & ”INDUSTRY 4.0”

    • The impact of digital civilization on society and the (consumer) identity of individuals

      pg(s) 60-64

      The research problem refers to the consequences of the 3rd industrial, digital, revolution on society and individuals and their (consumer) identity: digital intergenerational gap, technological dependence, technological influence on the behavior and (consumer) identity of individuals and the authoritarian (demotivational) effects of contemporary consumerism. The research subject is the influence of “high-tech culture” [21] on society and individuals and their (consumer) identity. The main hypothesis is that the impact of digital civilization and culture on society and individuals and their (consumer) identity is ambivalent (de/-humanistic). The scientific goals are: 1) description of the polyvalent impact of digital civilization and culture and computer communication, as well as technological accessories for communication; 2) understanding the digital generation gap and the analogy between (virtual) social groups: “digital natives” and “digital immigrants” [21] and “netocrats and consumtary” [8], as contemporary consumers; 3) scientific explanation of the authoritarian and emancipatory effects of high-tech culture and consumerism on contemporary consumers; 4) scientific prediction of new, digital, slave ownership, as a consequence of the development of robotics within the framework of the 4th industrial revolution. The social goals are: expanding knowledge about digital civilization and culture and 2) pragmatic explanation of the dis-/functional consequences of the 3rd and 4th industrial revolution. Desk research [9; 5] is used as a method of collecting and analyzing data from previous research, along with methods of observation, deduction, induction, abstraction, concretization and synthesis. Results are achieved goals.

    • Unstructured social media data processing with artificial intelligence

      pg(s) 65-67

      Social media, being used by billions of people around the globe have a significant impact on the field of big data. The proliferation of social platforms has resulted in a deluge of unstructured data in the form of user-generated content, including text, video, audio, and web pages. This data, while rich in information, poses significant challenges for traditional data processing tools, which are primarily designed to handle structured data. Processing unstructured data requires specialized tools and techniques, such as natural language processing (NLP) and artificial intelligence (AI). One solution for processing this type of data is the IDOL tool, which can not only collect data from social media, but can also process it with the help of artificial intelligence. With its support one can extract trends, dynamic patterns or relationships to improve business decision-making. In the current paper, a new approach for processing unstructured data from social media is proposed, which involves collaboration and integration of different software products.

    • Management of intellectual personnel in the era of Industry 4.0

      pg(s) 68-71

      New technologies of Industry 4.0, their measurement and research tools are named; the consequences and risks for society, the state and people are defined. Peculiarities of modern management of intellectual personnel are studied. The motivation of the work of the intellectual staff is substantiated. The importance of the involvement of intellectual personnel in the company has been proven.