THE USE OF SIMULATION ENVIRONMENT FOR SOLVING THE ASSEMBLY LINE BALANCING PROBLEM
Wojciech DANILCZUK
wojciech.danilczuk@pollub.edu.plLublin University of Technology, Faculty of Mechanical Engineering, Department of Automation, Nadbystrzycka 36, 20-618 Lublin (Poland)
Abstract
The paper describes the application of a simulation environment (Tecnomatix Plant Simulation) for solving a real manufacturing problem. The studied case consisted in rebalancing the production line with a specified number of operators on the line. The first stage of the study involved determination of the production cycle and key performance indicators. The production system was then divided into work cells. After that, proposed design assumptions were verified via a simulation model.
Keywords:
line balancing problem, manufacturing simulation, production system modeling, Tecnomaix Plant Simulation, manufacturingReferences
Banks, J., Carson, J. S., Nelson, B. L., & Nicol, D. M. (2010). Discrete-Event System Simulation. USA: Prentice Hall.
Google Scholar
Bangsow, S. (2010). Manufacturing Simulation with Plant Simulation and SimTalk. Berlin: Springer.
DOI: https://doi.org/10.1007/978-3-642-05074-9
Google Scholar
Danilczuk, W., Gola, A., & Cechowicz, R. (2014). Analiza konfiguracji linii produkcyjnych na postawie modeli symulacyjnych. In K. Bzdyra (Ed.), Informatyczne Systemy Zarządzania (tom 5, pp.25–42). Koszalin: Wyd. Politechniki Koszalińskiej.
Google Scholar
Esmaeilian, B., Behdad, S., & Wang, B. (2016). The evolution and future of manufacturing: A review. Journal of Manufacturing Systems, 39, 79–100. https://doi.org/10.13140/RG.2.1.2720.0402
DOI: https://doi.org/10.1016/j.jmsy.2016.03.001
Google Scholar
Gola, A., & Wiechetek, Ł. (2017). Modelling and simulation of production flow in job-shop production system with enterprise dynamics software. Applied Computer Science, 13(4), 87–97. https://doi.org/10.23743/acs-2017-32
Google Scholar
Groover, M. (2000). Automation, Production Systems, and Computer-Integrated Manufacturing (2nd Edition). New York: Prentice hall.
Google Scholar
Grzechca, W. (2010). Dualność problem balansowania linii montażowej. In R. Knosala (Ed.), Komputerowo Zintegrowane Zarządzanie (pp. 532–539). Opole: Oficyna Wydaw. Polskiego Towarzystwa Zarządzania Produkcją.
Google Scholar
Helgeson, W. B, & Birnie, D. P. (1961). Assembly line balancing problem using ranked positional weights technique. Journal of Industrial Engineering, 12(6), 394–398.
Google Scholar
Kilbridge, M., & Wester, L. (1961). A Heuristic Method of Assembly Line Balancing. Journal of Industrial Engineering, 19(6), 292–298.
Google Scholar
Kłosowski, G., & Kozłowski, E. (2017). Optymalizacja wielokryterialna w procesie produkcji mebli. Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 4, 101–106.
DOI: https://doi.org/10.5604/01.3001.0010.7372
Google Scholar
Longo, F. (2010). Emergency simulation: state of the art and future research guidelines. SCS M&S Magazine, 1(4), 2010-04.
Google Scholar
Salveson, M. E. (1955). The Assembly Line Balancing Problem. The Journal of Industrial Engineering, 6(3), 18–25.
DOI: https://doi.org/10.1115/1.4014559
Google Scholar
Scholl, A. (1999). Balancing and Sequencing of Assembly Lines. Physica-Verlag Heidelberg.
DOI: https://doi.org/10.1007/978-3-662-11223-6
Google Scholar
Zemczak, M. (2013). Zagadnienie balansowania linii montażowej i szeregowania zadań w systemach produkcji mixed-model. In K. Bzdyra (Ed.), Informatyczne Systemy Zarządzania (tom 4, pp. 115–128). Koszalin: Wyd. Politechniki Koszalińskiej.
Google Scholar
Plant Simulation. (n.d.). Retrieved 2018, from Siemens PLM Software website https://www.plm.automation.siemens.com/en/products/tecnomatix/manufacturingsimulation/material-flow/plant-simulation.shtml
Google Scholar
Authors
Wojciech DANILCZUKwojciech.danilczuk@pollub.edu.pl
Lublin University of Technology, Faculty of Mechanical Engineering, Department of Automation, Nadbystrzycka 36, 20-618 Lublin Poland
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