IMPROVING MATERIAL FLOW IN A MODIFIED PRODUCTION SYSTEM
Dariusz Plinta
dplinta@ath.bielsko.plUniversity of Bielsko-Biala (Poland)
https://orcid.org/0000-0002-4638-5319
Katarzyna Radwan
University of Bielsko-Biala (Poland)
Abstract
Material flow management aims to ensure the consistency of supply and reliability of the production processes being carried out. 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. 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.
Keywords:
modelling and simulation of production processes, material flow, production systemReferences
Allet, J. (2016). Production and Preparation Optimization in Single Production. Chandler-Gilbert Community College.
Google Scholar
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
DOI: https://doi.org/10.48084/etasr.5376
Google Scholar
Blackstone, J. H. (2016). APICS Dictionary (15th edition). APICS.
Google Scholar
Bozarth, C. B., & Handfield, R. B. (2018). Introduction to Operations and Supply Chain Management (5th edition). Pearson Education.
Google Scholar
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
Google Scholar
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
DOI: https://doi.org/10.14743/apem2022.2.434
Google Scholar
Gola, A. (2014). Economic Aspects of Manufacturing Systems Design. Actual Problems of Economics, 6(156), 205–212.
Google Scholar
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
DOI: https://doi.org/10.17531/ein.2019.1.11
Google Scholar
Kelton, D. (2014). Simulation with Arena (sixth edition). Mc Graw Hill Education. 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
DOI: https://doi.org/10.1007/978-3-030-23946-6_7
Google Scholar
Knosala, R. (2017). Inżynieria produkcji. Kompendium wiedzy. Polskie Wydawnictwo Ekonomiczne.
Google Scholar
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
DOI: https://doi.org/10.35784/acs-2019-04
Google Scholar
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
DOI: https://doi.org/10.17559/TV-20131113100109
Google Scholar
Litwin, P., Mądziel, M., & Stadnicka, D. (2019). Simulations of Manufacturing Systems: Applications in Achieving the Intended Learning Outcomes. In: L.M. Camarinha-Matos, H.
Google Scholar
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
DOI: https://doi.org/10.1007/978-3-030-28464-0_54
Google Scholar
Maciąg, A., Pietroń, R., & Kukla, S. (2013). Prognozowanie i symulacja w przedsiębiorstwie. Polskie Wydawnictwo Ekonomiczne.
Google Scholar
Małopolski, W. (2012). Modeling and optimization of manufacturing systems using Arena software. Technical Transactions: Mechanics, 109(8-M), 91–108.
Google Scholar
Pająk, E. (2021). Zarządzanie produkcją - produkt, technologia, organizacja. Wydawnictwo Naukowe PWN.
Google Scholar
Pająk, E., Klimkiewicz, M., & Kosieradzka, A. (2014). Zarządzanie produkcją i usługami. Polskie Wydawnictwo Ekonomiczne.
Google Scholar
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
DOI: https://doi.org/10.35784/acs-2021-06
Google Scholar
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
DOI: https://doi.org/10.3390/su13052947
Google Scholar
Szatkowski, K. (2014). Nowoczesne zarządzanie produkcją. Ujęcie procesowe. Wydawnictwo Naukowe PWN.
Google Scholar
Szatkowski, K. (2018). Przygotowanie produkcji. Wydawnictwo Naukowe PWN.
Google Scholar
Authors
Dariusz Plintadplinta@ath.bielsko.pl
University of Bielsko-Biala Poland
https://orcid.org/0000-0002-4638-5319
Authors
Katarzyna RadwanUniversity of Bielsko-Biala Poland
Statistics
Abstract views: 261PDF downloads: 142
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
All articles published in Applied Computer Science are open-access and distributed under the terms of the Creative Commons Attribution 4.0 International License.
Most read articles by the same author(s)
- Dariusz Plinta, Karolina Kłaptocz, VIRTUAL REALITY IN PRODUCTION LAYOUT DESIGNING , Applied Computer Science: Vol. 17 No. 1 (2021)
- Dariusz PLINTA, Martin KRAJČOVIČ, APPLICATION OF THE AUGMENTED REALITY IN PRODUCTION PRACTICE , Applied Computer Science: Vol. 13 No. 2 (2017)
Similar Articles
- Mohanad ABDULHAMID, Njagi KINYUA, SOFTWARE FOR RECOGNITION OF CAR NUMBER PLATE , Applied Computer Science: Vol. 16 No. 1 (2020)
- Jacek CABAN, Grzegorz LITAK, Bartłomiej AMBROŻKIEWICZ, Leszek GARDYŃSKI, Paweł STĄCZEK, Piotr WOLSZCZAK, IMPACT-BASED PIEZOELECTRIC ENERGY HARVESTING SYSTEM EXCITED FROM DIESEL ENGINE SUSPENSION , Applied Computer Science: Vol. 16 No. 3 (2020)
- Nasir ALAWAD, Afaf ALSEADY, FUZZY CONTROLLER OF MODEL REDUCTION DISTILLATION COLUMN WITH MINIMAL RULES , Applied Computer Science: Vol. 16 No. 2 (2020)
- Jarosław WIKAREK, Paweł SITEK, Mieczysław JAGODZIŃSKI, A DECLARATIVE APPROACH TO SHOP ORDERS OPTIMIZATION , Applied Computer Science: Vol. 15 No. 4 (2019)
- Malek M. AL-NAWASHI , Obaida M. AL-HAZAIMEH, Mutaz Kh. KHAZAALEH , A NEW APPROACH FOR BREAST CANCER DETECTION- BASED MACHINE LEARNING TECHNIQUE , Applied Computer Science: Vol. 20 No. 1 (2024)
- Janani DEWMINI, W Madushan FERNANDO, Izabela Iwa NIELSEN, Grzegorz BOCEWICZ, Amila THIBBOTUWAWA, Zbigniew BANASZAK, IDENTIFYING THE POTENTIAL OF UNMANNED AERIAL VEHICLE ROUTING FOR BLOOD DISTRIBUTION IN EMERGENCY REQUESTS , Applied Computer Science: Vol. 19 No. 4 (2023)
- Marcin Topczak, Małgorzata Śliwa, ASSESSMENT OF THE POSSIBILITY OF USING BAYESIAN NETS AND PETRI NETS IN THE PROCESS OF SELECTING ADDITIVE MANUFACTURING TECHNOLOGY IN A MANUFACTURING COMPANY , Applied Computer Science: Vol. 17 No. 1 (2021)
- Kuppan Chetty RAMANATHAN, Manju MOHAN, Joshuva AROCKIA DHANRAJ, BACKWARD MOTION PLANNING AND CONTROL OF MULTIPLE MOBILE ROBOTS MOVING IN TIGHTLY COUPLED FORMATIONS , Applied Computer Science: Vol. 17 No. 3 (2021)
- Noor SABAH, Ekhlas HAMEED, Muayed S AL-HUSEINY, OPTIMAL SLIDING MODE CONTROLLER DESIGN BASED ON WHALE OPTIMIZATION ALGORITHM FOR LOWER LIMB REHABILITATION ROBOT , Applied Computer Science: Vol. 17 No. 3 (2021)
- Yehor TATARCHENKO, Volodymyr LYFAR, Halyna TATARCHENKO, INFORMATION MODEL OF SYSTEM OF SUPPORT OF DECISION MAKING DURING MANAGEMENT OF IT COMPANIES , Applied Computer Science: Vol. 16 No. 1 (2020)
<< < 3 4 5 6 7 8 9 10 11 12 > >>
You may also start an advanced similarity search for this article.
