The use of Computer Simulation Techniques in Production Management

The use of Computer Simulation Techniques in Production Management


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Abstract. The purpose of this paper is to present the possibility of using computer simulation techniques to optimize production processes. The paper presents a simulation model, which is the basis for solving decision problems, in particular regarding the determination of alternative scenarios for the allocation of production resources. The simulation model was built in FlexSim. It consists of a finite set of decision variables and constraints that result from the analyzed technological process. The basic stages of creating a simulation model are discussed and the results of the simulation are presented.

Production Management, Simulation, Optimization, FlexSim

Published online 7/20/2022, 8 pages
Copyright © 2022 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA

Citation: KRYNKE Marek and KLIMECKA-TATAR Dorota, The use of Computer Simulation Techniques in Production Management, Materials Research Proceedings, Vol. 24, pp 126-133, 2022


The article was published as article 19 of the book Terotechnology XII

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

[1] R. Ulewicz, R. Kucęba. Identification of problems of implementation of Lean concept in the SME sector, Eng. Manag. Prod. Serv. 8 (2016) 19–25.
[2] M. Mazur, H. Momeni. LEAN Production issues in the organization of the company – results, Production Engineering Archives 22 (2019) 50–53.
[3] M. Krynke, K. Mielczarek, O. Kiriliuk. Cost Optimization and Risk Minimization During Teamwork Organization, Management Systems in Production Engineering 29 (2021) 145–150.
[4] M. Krynke. Risk Management in the Process of Personnel Allocation to Jobs, 8th Int. Conf. System Safety: Human-Technical Facility-Environment (CzOTO 2019) (2020) 82–90.
[5] M. Matuszny. Building decision trees based on production knowledge as support in decision-making process, Production Engineering Archives 26 (2020) 36–40.
[6] J. Karcz, B. Ślusarczyk. Criteria of quality requirements deciding on choice of the logistic operator from a perspective of his customer and the end recipient of goods, Production Engineering Archives 27 (2021) 58–68.
[7] M. Beaverstock, A. Greenwood, W. Nordgren. Applied Simulation Modeling and Analysis Using FlexSim 5th Ed. FlexSim Software Products, Inc, 2017.
[8] D. Klimecka-Tatar, M. Ingaldi, M. Obrecht. Sustainable Developement in Logistic – A Strategy for Management in Terms of Green Transport, Management Systems in Production Engineering 29 (2021) 91–96.
[9] T.D.C. Le, D.D. Nguyen, J. Oláh, M. Pakurár. Optimal vehicle route schedules in picking up and delivering cargo containers considering time windows in logistics distribution networks: A case study, Production Engineering Archives 26 (2020) 174–184.
[10] M. Drbúl, D. Stančeková, O. Babík, J. Holubjak, I. Görögová, D. Varga. Simulation Possibilities of 3D Measuring in Progressive Control of Production, Manufacturing Technology 16 (2016) 53–58.
[11] J. Pietraszek, R. Dwornicka, A. Szczotok. The bootstrap approach to the statistical significance of parameters in the fixed effects model. ECCOMAS 2016 – Proc. 7th European Congress on Computational Methods in Applied Sciences and Engineering 3, 6061-6068.
[12] J. Pietraszek, N. Radek, A.V. Goroshko. Challenges for the DOE methodology related to the introduction of Industry 4.0. Production Engineering Archives 26 (2020) 190-194.
[13] M. Kekez, L. Radziszewski. Modelling of pressure in the injection pipe of a diesel engine by computational intelligence, P. I. Mech. Eng. D-J. Aut. 225 (2011) 1660-1670.
[14] M. Ingaldi, S.T. Dziuba. Modernity evaluation of the machines used during production process of metal products, METAL 2015 – 24th Int. Conf. Metallurgy and Materials (2015), Ostrava, Tanger 1908-1914.
[15] A. Szczotok, J. Pietraszek, N. Radek. Metallographic Study and Repeatability Analysis of γ’ Phase Precipitates in Cored, Thin-Walled Castings Made from IN713C Superalloy. Archives of Metallurgy and Materials 62 (2017) 595-601.
[16] E. Skrzypczak-Pietraszek. Phytochemistry and biotechnology approaches of the genus exacum. In: The Gentianaceae – Volume 2: Biotechnology and Applications, 2015, 383-401.
[17] M. Zenkiewicz, T. Zuk, J. Pietraszek, P. Rytlewski, K. Moraczewski, M. Stepczyńska. Electrostatic separation of binary mixtures of some biodegradable polymers and poly(vinyl chloride) or poly(ethylene terephthalate), Polimery/Polymers 61 (2016) 835-843.
[18] M. Opydo, R. Kobyłecki, A. Dudek, Z. Bis. The effect of biomass co-combustion in a CFB boiler on solids accumulation on surfaces of P91 steel tube samples, Biomass and Bioenergy 85 (2016) 61-68.
[19] E. Radzyminska-Lenarcik, R. Ulewicz, M. Ulewicz. Zinc recovery from model and waste solutions using polymer inclusion membranes (PIMs) with 1-octyl-4-methylimidazole, Desalination and Water Treatment 102 (2018) 211-219.
[20] M. Ulewicz, A. Pietrzak. Properties and structure of concretes doped with production waste of thermoplastic elastomers from the production of car floor mats. Materials 14 (2021) art. 872.
[21] J. Jura, M. Ulewicz. Assessment of the Possibility of Using Fly Ash from Biomass Combustion for Concrete. Materials 14 (2021) art. 6708.
[22] B. Szczodrowska, R. Mazurczuk. A review of modern materials used in military camouflage within the radar frequency range, Technical Transactions 118 (2021) art.e2021003.
[23] M. Morawski,T. Talarczyk, M. Malec. Depth control for biomimetic and hybrid unmanned underwater vehicles, Technical Transactions 118 (2021) art. e2021024.
[24] A. Kubecki, C. Śliwiński, J. Śliwiński, I. Lubach, L. Bogdan, W. Maliszewski. Assessment of the technical condition of mines with mechanical fuses, Technical Transactions 118 (2021) art. e2021025.
[25] M. Zmindak, L. Radziszewski, Z. Pelagic, M. Falat. FEM/BEM techniques for modelling of local fields in contact mechanics, Communications – Scientific Letters of the University of Zilina 17 (2015) 37-46.
[26] J. Pietraszek, E. Skrzypczak-Pietraszek. The uncertainty and robustness of the principal component analysis as a tool for the dimensionality reduction. Solid State Phenom. 235 (2015) 1 8.
[27] J. Pietraszek, A. Szczotok, N. Radek. The fixed-effects analysis of the relation between SDAS and carbides for the airfoil blade traces. Archives of Metallurgy and Materials 62 (2017) 235-239.
[28] J. Pietraszek, A. Gadek-Moszczak, N. Radek. The estimation of accuracy for the neural network approximation in the case of sintered metal properties. Studies in Computational Intelligence 513 (2014) 125-134.
[29] J. Korzekwa, M. Bara, J. Pietraszek, P. Pawlus. Tribological behavior of Al2O3/inorganic fullerene-like WS2 composite layer sliding against plastic, Int. J. Surf. Sci. Eng. 10 (2016) 570-584.
[30] N. Radek, J. Pietraszek, A. Gadek-Moszczak, Ł.J. Orman, A. Szczotok. The morphology and mechanical properties of ESD coatings before and after laser beam machining, Materials 13 (2020) art. 2331.
[31] N. Radek, J. Konstanty, J. Pietraszek, Ł.J. Orman, M. Szczepaniak, D. Przestacki. The effect of laser beam processing on the properties of WC-Co coatings deposited on steel. Materials 14 (2021) art. 538.
[32] G. Ostasz, K. Czerwińska, A. Pacana. Quality Management of Aluminum Pistons with the Use of Quality Control Points. Management Systems in Production Engineering 28 (2020) 29-33.
[33] A. Maszke, R. Dwornicka, R. Ulewicz. Problems in the implementation of the lean concept at a steel works – Case study, MATEC Web of Conf. 183 (2018) art.01014.
[34] A. Pacana, R. Ulewicz. Analysis of causes and effects of implementation of the quality management system compliant with iso 9001, Pol. J. Manag. Stud. 21 (2020) 283 296.
[35] J. Fabiś-Domagała, G. Filo, H. Momeni, M. Domagała. Instruments of identification of hydraulic components potential failures, MATEC Web of Conf. 183 (2018) art.03008.
[36] G. Filo, J. Fabiś-Domagała, M. Domagała, E. Lisowski, H. Momeni. The idea of fuzzy logic usage in a sheet-based FMEA analysis of mechanical systems, MATEC Web of Conf. 183 (2018) art.3009.
[37] Ł.J. Orman Ł.J., N. Radek, J. Pietraszek, M. Szczepaniak. Analysis of enhanced pool boiling heat transfer on laser-textured surfaces. Energies 13 (2020) art. 2700.
[38] J. Fabis-Domagala, M. Domagala, H. Momeni. A matrix FMEA analysis of variable delivery vane pumps, Energies 14 (2021) art. 1741.
[39] M. Grebski. Mobility of the Workforce and Its Influence on Innovativeness (Comparative Analysis of the United States and Poland), Production Engineering Archives 27 (2021) 40-46.
[40] M. Grebski, M. Mazur. Social climate of support for innovativeness, Production Engineering Archives 28 (2022) 110-116.
[41] I. Kaczmar. Komputerowe modelowanie i symulacje procesów logistycznych w środowisku flexsim, PWN, Warszawa, 2019.
[42] D. Klimecka-Tatar. Context of production engineering in management model of Value Stream Flow according to manufacturing industry, Prod. Eng. Arch. 21 (2018) 32–35.
[43] D. Leks, A. Gwiazda. Application of FlexSim for modelling and simulation of the production process, Selected Engineering Problems 2015 (2015) 51–56.
[44] I. Kaczmar. The use of simulation and optimization in managing the manufacturing process — case study, Gospodarka Materiałowa i Logistyka 2016 (2016) 21–28.
[45] S. Setamanit. Evaluation of outsourcing transportation contract using simulation and design of experiment, Polish Journal of Management Studies18 (2018) 300–310.
[46] D. Krenczyk, W.M. Kempa, K. Kalinowski, C. Grabowik, I. Paprocka. Production planning and scheduling with material handling using modelling and simulation, MATEC Web Conf. 112 (2017) 9015.
[47] K. Knop. Indicating and analysis the interrelation between terms – visual: management, control, inspection and testing, Production Engineering Archives 26 (2020) 110–120.
[48] M. Krynke. Personnel management on the production line using the FlexSim simulation environment, Manufacturing Technology 21 (2021) 657–667.
[49] J. Kyncl. Digital Factory Simulation Tools, Manufacturing Technology 16 (2016) 371–375.
[50] E. Sujová, D. Vysloužilová, H. Čierna, R. Bambura. Simulation Models of Production Plants as a Tool for Implementation of the Digital Twin Concept into Production, Manufacturing Technology 20 (2020) 527–533.
[51] M. Krynke. Management optimizing the costs and duration time of the process in the production system, Production Engineering Archives 27 (2021) 163–170.
[52] J. Kyncl, T. Kellner, R. Kubiš. Tricanter Production Process Optimization by Digital Factory Simulation Tools, Manufacturing Technology 17 (2017) 49–53.
[53] M. Krynke, K. Mielczarek, A. Vaško. Analysis of the Problem of Staff Allocation to Work Stations, Quality Production Improvement – QPI 1 (2019) 545–550.
[54] M. Krynke, K. Mielczarek. Applications of linear programming to optimize the cost-benefit criterion in production processes, MATEC Web Conf. 183 (2018) art. 4004.
[55] FlexSim: User manual, 2017.