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Improving material flow in a modified production system

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The aim of the article is to present a model of material flow organisation in a changing production system operating under small batch production conditions. Material flow is an element of the value stream that transforms production inventory into a finished product, creating value for the purchaser. Material flow management aims to ensure the consistency of supply and reliability of the production processes being carried out. Carrying out simulations for various production scenarios will be the basis for developing an effective method of material flow management in small batch production of cutting tools. Material flow simulation makes it possible to uncover selectively disruptive factors in existing production systems in order to systematically improve systems. Implementing material flow simulation in a timely manner allows the right trajectory to be established before manufacturing reality knowledge is available.
Rocznik
Strony
95--106
Opis fizyczny
Bibliogr. 22 poz., fig., tab.
Twórcy
  • University of Bielsko-Biala, Faculty of Mechanical Engineering and Computer Science, Department of Production Engineering, Poland
  • University of Bielsko-Biala, Faculty of Mechanical Engineering and Computer Science, Department of Production Engineering, Poland
Bibliografia
  • [1] Allet, J. (2016). Production and Preparation Optimization in Single Production. Chandler-Gilbert Community College.
  • [2] Alquraish, M. (2022). Modelling and Simulation of Manufacturing Processes and Systems: Overview of Tools, Challenges, and Future Opportunities. Engineering, Technology & Applied Science Research, 12(6), 9779–9786. https://doi.org/10.48084/etasr.5376
  • [3] Blackstone, J. H. (2016). APICS Dictionary (15th edition). APICS.
  • [4] Bozarth, C. B., & Handfield, R. B. (2018). Introduction to Operations and Supply Chain Management (5th edition). Pearson Education.
  • [5] Burduk, A., Łapczyńska, D., & Popiel, P. (2021). Simulation modeling in production effectiveness improvement – case study. Management and Production Engineering Review, 12(2), 75–85. https://doi.org/10.24425/mper.2021.137680
  • [6] Butrat, A., & Supsomboon, S. (2022). A Plant Simulation approach for optimal resource utilization: A case study in the tire manufacturing industry. Advances in Production Engineering & Management, 17(2), 243–255. https://doi.org/10.14743/apem2022.2.434
  • [7] Gola, A. (2014). Economic Aspects of Manufacturing Systems Design. Actual Problems of Economics, 6(156), 205–212.
  • [8] Gola, A. (2019). Reliability analysis of reconfigurable manufacturing structures using computer simulation methods. Eksploatacja i Niezawodność – Maintenance and Reliability, 21(1), 90–102. https://doi.org/10.17531/ein.2019.1.11
  • [9] Kelton, D. (2014). Simulation with Arena (sixth edition). Mc Graw Hill Education.
  • [10] Kłos, S., & Patalas-Maliszewska, J. (2020). Using the simulation method for modelling a manufacturing system of predictive maintenance. Advances in Intelligent Systems and Computing (vol. 1004, pp. 57–64). Springer. https://doi.org/10.1007/978-3-030-23946-6_7
  • [11] Knosala, R. (2017). Inżynieria produkcji. Kompendium wiedzy. Polskie Wydawnictwo Ekonomiczne.
  • [12] Kolny, D., Kurczyk, D., & Matuszek, J. (2019). Computer support of ergonomic analysis of working conditions at workstations. Applied Computer Science, 15(1), 49–61. https://doi.org/10.23743/acs-2019-04
  • [13] Lehocká, D., Hlavatý, I., & Hloch, S. (2016). Rationalization of material flow in production od semitrailer frame for automotive industry. Technical Gazette, 23(4), 163806. https://doi.org/10.17559/TV-20131113100109
  • [14] Litwin, P., Mądziel, M., & Stadnicka, D. (2019). Simulations of Manufacturing Systems: Applications in Achieving the Intended Learning Outcomes. In: L.M. Camarinha-Matos, H. Afsarmanesh & D. Antonelli (Eds.), Collaborative Networks and Digital Transformation. PRO-VE 2019. IFIP Advances in Information and Communication Technology (vol. 568, pp. 615–623). Springer. https://doi.org/10.1007/978-3-030-28464-0_54
  • [15] Maciąg, A., Pietroń, R., & Kukla, S. (2013). Prognozowanie i symulacja w przedsiębiorstwie. Polskie Wydawnictwo Ekonomiczne.
  • [16] Małopolski, W. (2012). Modeling and optimization of manufacturing systems using Arena software. Technical Transactions: Mechanics, 109(8-M), 91–108.
  • [17] Pająk, E. (2021). Zarządzanie produkcją - produkt, technologia, organizacja. Wydawnictwo Naukowe PWN.
  • [18] Pająk, E., Klimkiewicz, M., & Kosieradzka, A. (2014). Zarządzanie produkcją i usługami. Polskie Wydawnictwo Ekonomiczne.
  • [19] Plinta, D., & Kłaptocz, K. (2021). Virtual reality in production layout designing. Applied Computer Science, 17(1), 61–69. https://doi.org/10.23743/acs-2021-06
  • [20] Silva, V., Ferreira, L., Silva, F., Tjahjono, B., & Ávila, P. (2021). Simulation-Based Decision Support System to Improve Material Flow of a Textile Company. Sustainability, 13(5), 2947. https://doi.org/10.3390/su13052947
  • [21] Szatkowski, K. (2014). Nowoczesne zarządzanie produkcją. Ujęcie procesowe. Wydawnictwo Naukowe PWN.
  • [22] Szatkowski, K. (2018). Przygotowanie produkcji. Wydawnictwo Naukowe PWN.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b5ac6c08-416f-4ec6-8b0d-63720030edb6
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