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
Statistics
Abstract views: 156PDF downloads: 14
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)
- Wojciech DANILCZUK, Arkadiusz GOLA, COMPUTER-AIDED MATERIAL DEMAND PLANNING USING ERP SYSTEMS AND BUSINESS INTELLIGENCE TECHNOLOGY , Applied Computer Science: Vol. 16 No. 3 (2020)
Similar Articles
- Konrad BIERCEWICZ, Mariusz BORAWSKI, Anna BORAWSKA, Jarosław DUDA, DETERMINING THE DEGREE OF PLAYER ENGAGEMENT IN A COMPUTER GAME WITH ELEMENTS OF A SOCIAL CAMPAIGN USING COGNITIVE NEUROSCIENCE TECHNIQUES , Applied Computer Science: Vol. 18 No. 4 (2022)
- Damian KRASKA, Tomasz TRZEPIECIŃSKI, FINITE ELEMENT BASED PREDICTION OF DEFORMATION IN SHEET METAL FORMING PROCESS , Applied Computer Science: Vol. 14 No. 3 (2018)
- Grzegorz SUCHANEK, Roman FILIPEK, COMPUTATIONAL FLUID DYNAMICS (CFD) AIDED DESIGN OF A MULTI-ROTOR FLYING ROBOT FOR LOCATING SOURCES OF PARTICULATE MATTER POLLUTION , Applied Computer Science: Vol. 18 No. 3 (2022)
- Aneta KARASEK, IT TOOLS SUPPORTING EMPLOYEE MANAGEMENT IN A HIGH-TECH ENTERPRISE , Applied Computer Science: Vol. 15 No. 1 (2019)
- Kamil ŻYŁA, SIMPLIFIED GRAPHICAL DOMAIN-SPECIFIC LANGUAGES FOR THE MOBILE DOMAIN – PERSPECTIVES OF LEARNABILITY BY NONTECHNICAL USERS , Applied Computer Science: Vol. 13 No. 3 (2017)
- Saheed A. ADEWUYI, Segun AINA, Adeniran I. OLUWARANTI, A DEEP LEARNING MODEL FOR ELECTRICITY DEMAND FORECASTING BASED ON A TROPICAL DATA , Applied Computer Science: Vol. 16 No. 1 (2020)
- Behnaz ESLAMI, Mehdi HABIBZADEH MOTLAGH, Zahra REZAEI, Mohammad ESLAMI, Mohammad AMIN AMINI, UNSUPERVISED DYNAMIC TOPIC MODEL FOR EXTRACTING ADVERSE DRUG REACTION FROM HEALTH FORUMS , Applied Computer Science: Vol. 16 No. 1 (2020)
- Sergio SOTO, Edmondo BONILLA, Alberto PORTILLA, Jose C. HERNANDEZ, Oscar ATRIANO, Perfecto M. QUINTERO, FOOD DELIVERY BASED ON PSO ALGORITHM AND GOOGLE MAPS , Applied Computer Science: Vol. 16 No. 1 (2020)
- Hakan AYDIN, Ahmet SERTBAŞ, CYBER SECURITY IN INDUSTRIAL CONTROL SYSTEMS (ICS): A SURVEY OF ROWHAMMER VULNERABILITY , Applied Computer Science: Vol. 18 No. 2 (2022)
- Robert KARPIŃSKI, KNEE JOINT OSTEOARTHRITIS DIAGNOSIS BASED ON SELECTED ACOUSTIC SIGNAL DISCRIMINANTS USING MACHINE LEARNING , Applied Computer Science: Vol. 18 No. 2 (2022)
<< < 10 11 12 13 14 15 16 17 > >>
You may also start an advanced similarity search for this article.
