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Tytuł artykułu

Optimization of the Conveyor Line System Using Computer Simulation on the Example of a Modern Warehouse

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper presents a outline of a modern large-area warehouse of an enterprise engaged in the sale of, among others, food products, software, books, automotive components, and many others. The techniques, methods, research and design tools used were described. A control system was designed, its plan and network connections of control devices based on the characteristics of technological documentation. The design of logical structures controlling the conveyor line, network topology configuration and also the safety system was proposed. The performance and errors of the line were checked in the simulation process. The paper also includes the process of commissioning and testing an industrial PLC (Programmable Logic Controller) on a real object, which is a modern warehouse.
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Twórcy
autor
  • Division of Mechanical Engineering, Poznan University of Technology, ul. Piotrowo 3, 61-138 Poznan, Poland
autor
  • Division of Mechanical Engineering, Poznan University of Technology, ul. Piotrowo 3, 61-138 Poznan, Poland
  • Division of Mechanical Engineering, Poznan University of Technology, ul. Piotrowo 3, 61-138 Poznan, Poland
Bibliografia
  • 1. Sika R., Rogalewicz M., Popielarski P., Czarnecka-Komorowska D., Przestacki D., Gawdzińska K., Szymański P. Decision Support System in the Field of Defects Assessment in the Metal Matrix Composites Castings. Materials 2020; 13: 3552. https://doi.org/10.3390/ma13163552.
  • 2. Ignaszak Z., Popielarski P. Sensitivity Tests of Simulation Models Used in Chosen Calculation Codes on Uncertainty Of Thermo-Mechanical Parameters During Virtual Mechanical Stress Estimation For Ferrous Alloy Castings”, Defect and Diff usion Forum 2011; 312–35: 758–763.
  • 3. Hajkowski J., Sika R., Rogalewicz M., Popielarski P., Matysiak W., Legutko S. Material Databases and Validation in Modelling the Structure of Castings Using the Cellular Automaton Method, Materials 2021; 14(11). DOI: 10.3390/ma14113055.
  • 4. Shcherbovskykh S., Kozlowski K., Pazderski P. Evaluation of Integral Anti-Windup Feedback Coefficient for PI Regulator, 2018 IEEE 9th International Conference on Dependable Systems, Services and Technologies (DESSERT) 2018; 74–77. DOI: 10.1109/DESSERT.2018.8409102
  • 5. Araujo A.F., Varela M.R.L., Gomes M.S., Barreto R.C.C., Trojanowska J. Development of an Intelligent and Automated System for Lean Industrial Production, Adding Maximum Productivity and Efficiency in the Production Process, Lecture Notes in Mechanical Engineering, Advances in Manufacturing (Manufacturing 2017), Springer 2017; 131–140.
  • 6. Nowakowski W., Łukasik Z., Bukalski W. Methods for Assessing The Safety of Industrial Automation Systems, Safety and Ecology 2018; 19(12). DOI: 10.24136/atest.2018.375.
  • 7. Acemoglu D., Restrepo P. Modeling Automation, AEA Papers and Proceedings 2018; 108: 48–53. DOI: 10.1257/pandp.20181020.
  • 8. Pryanichnikov V.E., Aryskin A.A., Eprikov S.R., Kirsanov K.B., Khelemendik R.V., Ksenzenko A.Y. Technology Of Multi-Agent Control For Industrial Automation With Logical Processing Of Contradictions. http://go.gale.com, Accessed 25.05.2022.
  • 9. Sujova E., Strihavkova E., Cierna H. An Analysis of the Assembly Line Modernization by Using Simulation Software, Manufacturing Technology 2018; 18(5): 839–845.
  • 10. Desai N., Punnekkat S. Safety of fog-based industrial automation systems, IoT-Fog ’19, April 15–18, Montreal, QC, Canada 2019; 6–10. 10.1145/3313150.3313218.
  • 11. Skoczylas A., Stefaniak P., Anufriiev S., Jachnik B. Belt Conveyors Rollers Diagnostics Based on Acoustic Signal Collected Using Autonomous Legged Inspection Robot. Applied Sciences 2021; 11(5): 2299. DOI: 10.3390/app11052299.
  • 12. Urinov S.R. Modeling and Control Methods Of Consistently Operating Conveyors of Mining Transport Systems, International Conference on Agriculture Sciences, Environment, Urban and Rural Development, Morocco, 30 December 2021.
  • 13. Dager C. Smart Conveyors Streamline Wet Wipes Packaging Challenges, https://www.plantengineering.com/articles/smart-conveyors-streamline-wet-wipes-packaging-challenges/, Accessed: 12.05.2022.
  • 14. Büchi G., Cugno M., Castagnoli R. Smart Factory Performance and iIndustry 4.0, Technol Forecast Soc 2020; 150: 119790.
  • 15. Foster R. Automation, Production Systems and Computer-Integrated Manufacturing, Larsen and Keller Education Group, New York, USA 2019.
  • 16. Fischer J., Vogel-Heuser B., Friedrich D. Configuration of PLC Software for Automated Warehouses Based on Reusable Components – An Industrial Case Study, IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA), 2015. DOI: 10.1109/ETFA.2015.7301414.
  • 17. Gordon R., Bejger A. Effect of Temperature Change on Acoustic Emission Signal in IGBT Transistors of Marine Propulsion System Converters. Energies 2020; 15(4276). DOI: 10.3390/en15124276.
  • 18. Gawdzińska K., Chybowski L., Bejger J.A., Krile S. Determination of Technological Parameters of Saturated Composites Based on Sic By Means Of A Model Liquid, Metalurgija 2016; 55(4): 659–662. https://hrcak.srce.hr/157391.
  • 19. Muthukumaraswamy S.A., Nadgauda N. Design and Development of Industrial Automated System using PLCSCADA, IEEE 1oth GCC Conference & Exhibition (GCC), 2019.
  • 20. Setiawan,Sugeng A., Koesoema K.I., Bakhri S., Aditya J. The SCADA System Using PLC and HMI to Improve the Effectiveness and Efficiency of Producation Processes, IOP Conference Series: Material Science and Engineering 2019; 550: 012008.
  • 21. Voytyuk I.N., Bolshunova O.M. Ensuring Energy Efficiency of The Belt-Type Conveyor Bolshunova Electric Motor Drive Operation Due to Noncontact Control of Mass Discharge of Cargo During Its Transport in Mining Condition, IEEE Conference Of Russian Pr Young Researchers In Electrical And Electronic Engineering, Elconrus 2019; 736–739.
  • 22. Amin Al, Mridha M. A mini view of PLC, International Journal of Research in Advanced Engineering and Technology. Impact Factor: RJIF 2020; 6(2): 23–25.
  • 23. Hulewicz A., Krawiecki Z., Dziarski, K. Distributed Control Systems DCS using a PLC Cotroller. ITM Web of Conference 2019; 28: 01041. DOI: 10.1051/itmconf/20192801041.
  • 24. Mazur P., Czerwiński R., Chmiel M. PLC Implementation in the Form of a System-on-a-Chip, Bulletin of the Polish Academy of Sciences Technical, 2020; 68(6). DOI: 10.24425/bpasts.2020.135386.
  • 25. Fu W. A Brief Analysis on the Application of Simens S7–1200 PLC in Sluice Gate Monitoring System of Hydro Power Station. Electric Drive Automation 2019; 41(1): 45–48.
  • 26. Prajakta H., Nimish J., Pranav K., Amol K. Automatic Weighing and Packaging Machine, Internation Research Journal of Engineering and Technology (IRJET) 2019; 6(5): 2129–2138.
  • 27. Oprzędkiewicz K. Real-Time Requirements Meeting in PLC Control System, State Higher Vocational School in Tarnów 2020; 5(2): 1–8. DOI: 10.5604/01.3001.0013.2568.
  • 28. Kazemi S., Kharrati H. Visual Processing and Classification of items on Moving Conveyor with Pick and Place Robot using PLC, Springer Singapore 2017; 3(1): 15–21. DOI: 10.1007/s40903–017–0071–3.
  • 29. Bambura R., Sujovȃ E., Ĉierna H. Utilizing computer simulation to optimize furniture production system, BioResources 2020; 15(3): 6752–6765.
  • 30. Lobur M., Shcherbovskykh S., Kozlowski K., Pazderski D. Experimental Analysis of Rotary Speed Observers for Electric Drive with Cascaded Control System, 2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT) 2018; 125–128. DOI: 10.1109/STC-CSIT.2018.8526615.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-e0dfa05b-35f4-494e-8590-2be721376b44
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