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Optimizing supply chain in a foundry through computer simulation using FlexSim - a case study

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Języki publikacji
EN
Abstrakty
EN
The article presents the optimization of supply chain management in a foundry using computer simulation with the FlexSim program. The authors analyze collaboration with external entities in the production process, focusing on the settlement of raw materials, transportation services, and storage costs. Special attention is given to the production plans of subcontractors integrated into the operational production schedule. Utilizing the 3D FlexSim environment, they showcase a simulation model optimized for minimizing the costs of production, transportation, and storage of alloying elements essential for iron casting production. The case study illustrates the effective use of computer simulation in refining supply chain management within the context of the foundry production process.
Wydawca
Rocznik
Strony
172--181
Opis fizyczny
Bibliogr. 33 poz., rys., tab.
Twórcy
autor
  • Czestochowa University of Technology, Poland
Bibliografia
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  • 5. Dadi, V., Nikhil, S. R., Mor, R. S., Agarwal, T., Arora, S., 2021. Agri-Food 4.0 and Innovations: Revamping the Supply Chain Operations, Production Engineering Archives, 27(2), 75-89. DOI: 10.30657/pea.2021.27.10
  • 6. Daroń, M., 2022. Simulations in planning logistics processes as a tool of decision-making in manufacturing companies, Production Engineering Archives, 28(4), 300-308. DOI: 10.30657/pea.2022.28.38
  • 7. Deja, A., Ślączka, W., Dzhuguryan, L., Dzhuguryan, T., Ulewicz, R. 2023. Green technologies in smart city multifloor manufacturing clusters: A framework for additive manufacturing management, Production Engineering Archives,29(4) 428-443, DOI: 10.30657/pea.2023.29.48
  • 8. Drljača, M., 2019. Reversible Supply Chain in function of competitiveness, Production Engineering Archives, 22(22), 30-35. DOI: 10.30657/pea.2019.22.06
  • 9. Drljača, M., Petar, S., Raad, M., Štimac, I., 2020. The role and position of Airport City in the Supply Chain, Production Engineering Archives, 26(3), 104-109. DOI: 10.30657/pea.2020.26.21
  • 10. Gołda, G., Kampa, A., Krenczyk, D., 2019. The Methodology of Modeling and Simulation of Human Resources and Industrial Robots in FlexSim. In P. Pawlewski, P. Hoffa-Dabrowska, P. Golinska-Dawson, & K. Werner-Lewandowska (Eds.), EcoProduction. Environmental issues in logistics and manufacturing. FlexSim in academe: Teaching and research, 87-99. Springer. DOI: 10.1007/978-3-030-04519-7_7
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  • 12. Knop, K., 2023. Use of Selected Tools of Quality Improvement in a Company Producing Parts for the Automotive Industry - Case Study. In Materials Research Proceedings, Quality Production Improvement and System Safety, 344-353. Materials Research Forum LLC. DOI: 10.21741/9781644902691-40
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  • 16. Krynke, M., 2021. Management optimizing the costs and duration time of the process in the production system, Production Engineering Archives, 27(3), 163-170. DOI: 10.30657/pea.2021.27.21
  • 17. Krynke, M., Mielczarek, K., Vaško, A., 2019. Analysis of the Problem of Staff Allocation to Work Stations, Quality Production Improvement - QPI, 1(1), 545-550. DOI: 10.2478/cqpi-2019-0073
  • 18. Laguna, M., 2011. OptQuest: Optimization of Complex Systems, OPTTEK SYSTEMS, INC. https://www.opttek.com/sites/default/files/pdfs/optquest-optimization%20of%20 complex%20systems.pdf
  • 19. Nguyet, B. T. M., Huyen, V. N., Oanh, T. T. K., Phuong, N. T. M., Hang, N. P. T., Uan, T. B., 2020. Operations management and performance: a mediating role of green supply chain management practices in MNCS, Polish Journal of Management Studies, 22(2), 309-323. DOI: 10.17512/pjms.2020.22.2.21
  • 20. Pawlewski, P., Anholcer, M., 2019. Using CSP Solvers as Alternative to Simulation Optimization Engines. In P. Pawlewski, P. Hoffa-Dabrowska, P. Golinska-Dawson, & K. Werner-Lewandowska (Eds.), EcoProduction. Environmental issues in logistics and manufacturing. FlexSim in academe: Teaching and research, 131-143. Springer. DOI: 10.1007/978-3-030-04519-7_10
  • 21. Pietraszek, J., Skrzypczak-Pietraszek, E., 2015. The uncertainty and robustness of the principal component analysis as a tool for the dimensionality reduction. Solid State Phenomena, 235, 1-8. DOI: 10.4028/www.scientific.net/SSP.235.1
  • 22. Pietraszek, J., Szczotok, A., Kołomycki, M., Radek, N., Kozień, E., 2017a. Non-parametric assessment of the uncertainty in the analysis of the airfoil blade traces. In METAL Conference Proceedings, METAL 2017 Conference Proceedings, 1412-1418. TANGER Ltd.
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  • 25. Radek, N., Tokar, D., Kalinowski, A., Pietraszek, J., 2021. Influence of laser texturing on tribological properties of DLC coatings, Production Engineering Archives 27(2), 119-123. DOI: 10.30657/pea.2021.27.15
  • 26. Saragih, J., Tarigan, A., Pratama, I., Wardati, J., Silalahi, E. F., 2020. The impact of total quality management, supply chain management practices and operations capability on firm performance, Polish Journal of Management Studies, 21(2), 384-397. DOI: 10.17512/pjms.2020.21.2.27
  • 27. Schmid, M., 2022. Multi-physical contact simulation in Vehicle applications, Production Engineering Archives, 28(4), 369-374. DOI: 10.30657/pea.2022.28.45
  • 28. Siwiec, D., Pacana, A., Ulewicz, R., 2022. Concept of a model to predict the qualitative-cost level considering customers’ expectations, Polish Journal of Management Studies, 26(2), 330-340. DOI: 10.17512/pjms.2022.26.2.20
  • 29. Skrzypczak-Pietraszek, E., Pietraszek, J., 2014. Seasonal changes of flavonoid content in Melittis melissophyllum L. (Lamiaceae), Chemistry and Biodiversity, 11(4), 562-570. DOI: 10.1002/cbdv.201300148
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  • 32. Umam, R., Sommanawat, K., 2019. Strategic flexibility, manufacturing flexibility, and firm performance under the presence of an agile supply chain: A case of strategic management in fashion industry, Polish Journal of Management Studies, 19(2), 407-418, DOI: 10.17512/pjms.2019.19.2.35
  • 33. Vanko, K., Pompáš, L., Madaj, R., Vicen, M., Šutka, J., 2023. Optimization of assembly devices of automated workplaces using the TRIZ methodology, Production Engineering Archives, 29(3), 231–240. DOI: 10.30657/pea.2023.29.27
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-4f3ed28f-b921-41bc-8a2e-27aa1ccd4c9e
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