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Trends in Modeling and Simulation of Production Processes and Systems
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Trends in Modeling and Simulation of Production Processes and Systems

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Industrial Technologies".

Deadline for manuscript submissions: closed (10 November 2021) | Viewed by 17365

Special Issue Editor

Prof. Dr. Peter Trebuňa

E-Mail Website
Guest Editor
Department of Industrial and Digital Engineering, Faculty of Mechanical Engineering, Technical university of Košice, Košice, Slovak Republic
Interests: industrial and digital engineering; smart factory; modelling and simulation; digital twin
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue of the MDPI journal "New Trends for Modeling and Simulation of Production Processes and Systems" will be devoted to the latest trends in the implementation of the Industry 4.0 strategy into internal production processes. Priority should be given to the issues of putting the Industry 4.0 strategy into practice. In the context of the global COVID-19 pandemic, the present points to the unpreparedness of companies to deploy digital technologies in their production. Companies that have used digital concepts and automated manufacturing processes in the past have a competitive advantage today. The risk of the human factor is trying to eliminate every area of ​​human life, through autopilots in the aviation industry, the deployment of autonomous cars in road traffic and virtual commissioning in the industrial sector. The use of progressive and unconventional technologies in production shows a significant reduction in costs, which companies can then invest in innovations of their own portfolio of activities. This issue should be dedicated to these areas.

Prof. Peter Trebuňa
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • modelling
  • simulation
  • simulation models
  • engineering experiment
  • industrial engineering
  • digital engineering
  • additive technologies
  • product development
  • production efficiency
  • digitization
  • cyber-physical production systems
  • smart factory
  • digital twin
  • logistics 4.0

Published Papers (6 papers)

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Research

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15 pages, 9872 KiB  
Article
Case Study: 3D Modelling and Printing of a Plastic Respirator in Laboratory Conditions
by Miriam Pekarcikova, Peter Trebuna, Marek Kliment and Stefan Kral
Appl. Sci. 2022, 12(1), 96; https://doi.org/10.3390/app12010096 - 23 Dec 2021
Cited by 3 | Viewed by 2341
Abstract
The importance of 3D printing is primarily that it enables customized production and, through Industry 4.0 technology, enables decentralized production. The article deals with the issue of 3D modelling and 3D printing of plastic respirators in the laboratory conditions of the authors’ workplace. [...] Read more.
The importance of 3D printing is primarily that it enables customized production and, through Industry 4.0 technology, enables decentralized production. The article deals with the issue of 3D modelling and 3D printing of plastic respirators in the laboratory conditions of the authors’ workplace. In the above case study, the process of creating 3D models of individual parts of a plastic respirator and the production of a given model using a 3D printer is processed. The article also outlines the trends in 3D printing in connection with Blockchain and their importance on the Supply Chain. Full article
(This article belongs to the Special Issue Trends in Modeling and Simulation of Production Processes and Systems)
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15 pages, 14343 KiB  
Article
Optimization of Costs and Production Process of Fire Dampers
by Jaroslava Kádárová, Michaela Kočišová, Katarína Teplická, Alžbeta Suhányiová and Laura Lachvajderová
Appl. Sci. 2022, 12(1), 75; https://doi.org/10.3390/app12010075 - 22 Dec 2021
Viewed by 2067
Abstract
Currently, companies are trying to optimize production, even more so as the economic situation is gradually deteriorating in many countries around the world, which is currently caused mainly by the COVID 19 pandemic. A specific type of production is that on production lines, [...] Read more.
Currently, companies are trying to optimize production, even more so as the economic situation is gradually deteriorating in many countries around the world, which is currently caused mainly by the COVID 19 pandemic. A specific type of production is that on production lines, which are individual workplaces where various production and assembly operations take place. The aim of the article is to analyze the impact of the choice of the control method for the production process on the optimization of costs and the process. The subject of the research is the production of fire-fighting throttles on a production line that has three workplaces. The problem of waste on the production line was identified by direct measurements of time consumption at the individual workplaces and by using images of the working day schedule. The article compares three approaches to production line management and waste reduction. The first approach was based on counting the number of finished products on the production line. The second approach analyzed in detail the duration of the individual operations into which the workplaces were divided. In the third approach, a method of balancing workplaces was used, which brought time and cost savings. The achieved results, using different methods of production management, are analyzed in detail, and the conclusions evaluated. The article contributes a comparison of the achieved results of cost optimization through the course of production of fire dampers. The research results were applied in practice. The research used methods of industrial engineering in the field of ergonomics, technical and economic analysis, and production management. Visualization of hourly performances, downtimes and failures, execution of work procedures, Shop Floor Management and many others, are recommended as ways to implement waste elimination when using the methods of industrial engineering. Full article
(This article belongs to the Special Issue Trends in Modeling and Simulation of Production Processes and Systems)
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19 pages, 3601 KiB  
Article
System of Parametric Modelling and Assessing the Production Staff Utilisation as a Basis for Aggregate Production Planning
by Martin Krajčovič, Beáta Furmannová, Patrik Grznár, Radovan Furmann, Dariusz Plinta, Radovan Svitek and Ivan Antoniuk
Appl. Sci. 2021, 11(19), 9347; https://doi.org/10.3390/app11199347 - 8 Oct 2021
Cited by 7 | Viewed by 2006
Abstract
The requirement to achieve effective solutions in the shortest possible time in the manufacturing environment is essential, and it can be solved only by effective production planning methods. The scientific problem is that traditional methods for creating and assessing the production plans are [...] Read more.
The requirement to achieve effective solutions in the shortest possible time in the manufacturing environment is essential, and it can be solved only by effective production planning methods. The scientific problem is that traditional methods for creating and assessing the production plans are insufficient for the future and it is necessary to look for new alternatives. The planners in the framework of designing the production layouts and subsequent capacity planning of the employees are missing the information, methods and tools for making clear decisions. The production costs in general and especially the costs for the workforce create a large part of the operating costs in many manufacturing enterprises. The scientific goal of the article is to present a design of the system for parametric modelling and assessing the working utilisation of the production staff intended for reducing costs. The described solution is based on object-oriented analysis and contains a methodology of planning and controlling the production process in the industrial environment. The designed methodology was used for developing a planning module of project software and was shown through a case study in a company dealing with the production of automotive components. Effective modelling of the digital copy of the manufacturing system in the software environment is one of the most difficult and important steps for developing reliable information systems for planning and inspection in the industry. The methodology’s results in a company are that the solution can be used as a basis for the aggregate production planning that brings savings and efficiency increases. The research results can be used in any company with strictly defined working positions, working activities, and limiting conditions. Full article
(This article belongs to the Special Issue Trends in Modeling and Simulation of Production Processes and Systems)
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12 pages, 1502 KiB  
Article
Numerical Simulation of Intrachamber Processes in the Power Plant
by Boris Benderskiy, Peter Frankovský and Alena Chernova
Appl. Sci. 2021, 11(11), 4990; https://doi.org/10.3390/app11114990 - 28 May 2021
Cited by 3 | Viewed by 1641
Abstract
This paper considers the issues of numerical modeling of nonstationary spatial gas dynamics in the pre-nozzle volume of the combustion chamber of a power plant with a cylindrical slot channel at the power plant of the mass supply surface. The numerical simulation for [...] Read more.
This paper considers the issues of numerical modeling of nonstationary spatial gas dynamics in the pre-nozzle volume of the combustion chamber of a power plant with a cylindrical slot channel at the power plant of the mass supply surface. The numerical simulation for spatial objects is based on the solution conjugate problem of heat exchange by the control volume method in the open integrated platform for numerical simulation of continuum mechanics problems (openFoam). The calculation results for gas-dynamic and thermal processes in the power plant with a four-nozzle cover are presented. The analysis of gas-dynamic parameters and thermal flows near the nozzle cover, depending on the canal geometry, is given. The topological features of the flow structure and thermophysical parameters near the nozzle cap were studied. For the first time, the transformation of topological features of the flow structure in the pre-nozzle volume at changes in the mass channel’s geometry is revealed, described, and analyzed. The dependence of the Nusselt number in the central point of stagnation on the time of the power plants operation is revealed. Full article
(This article belongs to the Special Issue Trends in Modeling and Simulation of Production Processes and Systems)
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18 pages, 2587 KiB  
Article
Mathematical Modeling of the Manufacturing Sector’s Dominant Part as a Base for Automation
by Elena Grešová and Jozef Svetlík
Appl. Sci. 2021, 11(7), 3295; https://doi.org/10.3390/app11073295 - 6 Apr 2021
Cited by 5 | Viewed by 2461
Abstract
The current great expansion of automation and robotics affects a multiplicity of various fields. A prominent example is industry, where the different manufacturing processes and technologies embrace a certain level of automation and robotics. Thus, the use of robotics and automation implementation is [...] Read more.
The current great expansion of automation and robotics affects a multiplicity of various fields. A prominent example is industry, where the different manufacturing processes and technologies embrace a certain level of automation and robotics. Thus, the use of robotics and automation implementation is part of a rapidly rising trend in industry. The presented paper deals with the manufacturing segment in the context of automation. The main subject is data analysis, with our own subsequent model building and final realization of the prediction corresponding to the machinery and electrical machinery sector as a highly relevant automation driver through the use of mathematical modeling. The design of the model is accompanied by optimization of the particular weights. Determination of the most suitable model is preceded by creating and testing a number of models to decide upon the final one. The construction of the mathematical model pursues the aim of making predictions relating to the machinery and electrical machinery sector for the specific national economy as the concluding investigation step. We apply a polynomial approximation as the research method. The software selected for our purposes is Matlab. Full article
(This article belongs to the Special Issue Trends in Modeling and Simulation of Production Processes and Systems)
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Review

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21 pages, 2808 KiB  
Review
State of the Art and Future Directions of Digital Twins for Production Logistics: A Systematic Literature Review
by Alexander Kaiblinger and Manuel Woschank
Appl. Sci. 2022, 12(2), 669; https://doi.org/10.3390/app12020669 - 11 Jan 2022
Cited by 30 | Viewed by 5286
Abstract
Digital Twins (DTs) are widely discussed in the context of the Industry 4.0 paradigm as one of the main opportunities to strengthen the overall competitiveness of manufacturing enterprises. Despite a substantial scientific discussion, there is still no unified understanding regarding the constitution and [...] Read more.
Digital Twins (DTs) are widely discussed in the context of the Industry 4.0 paradigm as one of the main opportunities to strengthen the overall competitiveness of manufacturing enterprises. Despite a substantial scientific discussion, there is still no unified understanding regarding the constitution and subsequent usage of DTs within production logistics systems. Therefore, this paper focuses on the application of DTs in production logistics. The authors discuss common definitions, characteristics, and functionalities of DTs and outline current developments and implications from state-of-the-art implementation approaches, by using a systematic literature review. Moreover, based on the research findings, the authors evaluate a set of DT case studies, identify current research gaps, and present potential directions for future research initiatives regarding the field of production logistics in manufacturing enterprises. Full article
(This article belongs to the Special Issue Trends in Modeling and Simulation of Production Processes and Systems)
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