Simulation Based Analysis of Reconfigurable Manufacturing System Configurations

Abstract:

Nowadays, manufacturers seek customers’ satisfaction by increasing products variety and customization while striving for agility and productivity. To remain competitive, companies must design manufacturing systems that not only produce high-quality products at low cost, but also respond to market changes in an economical way. One of the critical problems of manufacturing systems design is to decide which of possible configurations is the most advantageous for a company. This article presents the possibility of using simulation methods in the process of analysis of possible configurations of Reconfigurable Manufacturing System according to maximization the productivity of the system.

• Periodical: Applied Mechanics and Materials (Volume 844)
• Pages: 50-59
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.844.50
• Online since: July 2016
• Authors: Arkadiusz Gola*, Antoni Świć
• Keywords: Reconfigurable Manufacturing System, RMS, Simulation, System Configuration

References

[1] M. Relich, A. Świć, A. Gola, A Knowledge-Based Approach to Product Concept Screening, Advances in Intelligent Systems and Computing, 373 (2015) 341-348, DOI: 10. 1007/978-3-319-19638-1_39.

DOI: 10.1007/978-3-319-19638-1_39

[2] T. Tolio, M. Sacco, W. Terkaj, M. Urgo, Virtual Factory: an Integrated Framework for Manufacturing Systems Design and Analysis, Procedia CIRP, 7 (2013) 25-30.

DOI: 10.1016/j.procir.2013.05.005

[3] H. ElMaraghy, A. Azab, G. Schuh, C. Pulz, Managing variations in products, processes and manufacturing systems, CIRP Annals – Manufacturing Technology, 58 (2009) 441-446.

DOI: 10.1016/j.cirp.2009.04.001

[4] Gola A., Economic Aspects of Manufacturing Systems Design, Actual Problems of Economics, 156, 6 (2014) 205-212.

[5] A. Gola, M. Relich, G. Kłosowski, A. Świć, Mathematical Models for Manufacturing Systems Capacity Planning and Expansion – an Overview, Applied Mechanics and Materials, 125-131, DOI: 10. 4028/www. scientific. net/AMM. 791. 125.

DOI: 10.4028/www.scientific.net/amm.791.125

[6] Y. Koren, U. Heisel, F. Jovane, T. Moriwaki, G. Pritschow, G. Ulsoy, H. Van Brussel, Reconfigurable Manufacturing Systems, Annals of the CIRP, 48, 2 (1999) 527-540.

DOI: 10.1016/s0007-8506(07)63232-6

[7] Y. Koren, The Golobal Manufacturing Revolution: Product-Process-Business Integration and Reconfigurable Systems, John Wiley & Sons, Inc, (2010).

[8] E. Abele, T. Liebeck, A. Worn, Measuring Flexibility in Investment Decisions for Manufacturing Systems, Annals of the CIRP, 55, 1 (2006) 433-436.

DOI: 10.1016/s0007-8506(07)60452-1

[9] Y. Koren, M. Shpitalni, Design of Reconfigurable Manufacturing Systems, Journal of Manufacturing Systems, 29 (2010) 130-141.

DOI: 10.1016/j.jmsy.2011.01.001

[10] A. Gola, A. Świć, Economic Analysis of Manufacturing Systems Configuration in the Context of Their Productivity, Actual Problems of Economics, 162, 12 (2014) 385-394.

[11] G. Kłosowski, A. Gola, A. Świć, Application of Fuzzy Logic Controller for Machine Load Balancing in Discrete Manufacturing System [in: ] K. Jackowski et al. (Eds. ), Intelligent Data Engineering and Automated Learning – IDEAL 2015, Springer International Publishing, 2015, pp.256-263.

DOI: 10.1007/978-3-319-24834-9_31

[12] A. Gola, A. Świć, Computer-Aided Machine Tool Selection for Focused Flexibility Manufacturing Systems Using Economical Criteria, Actual Problems of Economics, 124, 10 (2011) 383-389.

[13] J. Banks, J. S. Carson, B. L. Nelson, D. M. Nicol, Discrete-Event System Simulation, Prentice Hall, USA, (2010).

[14] A. Gola, W. Konczal, RMS – System of the Future or New Trend in Science, Advances in Science and Technology, 7, 20 (2013) 35-41.

[15] V. Malhotra, T. Raj, A. Arora, Reconfigurable Manufacturing System: An Overview, International Journal of Machine Intelligence, 1, 2 (2009) 38-46.

[16] A. Gola, A. Świć, Reconfigurable Manufacturing Systems as a Way of Long-Term Economic Capacity Management, Actual Problems of Economics, 166, 4 (2015) 15-22.

[17] United States Patent: Reconfigurable Manufacturing System Having a Production Capacity Method for Designing Same And Method for Changing its Production Capacity, Patent No.: US 6 349 237 B1, Date of Patent: 19th of February (2002).

[18] A. Matta, M. Tomasella, A. Valente, Impact of Ramp-up on the Optimal Capacity-Related Reconfiguration Policy, International Journal of Flexible Manufacturing Systems, 19, 3 (2008) 173-194.

DOI: 10.1007/s10696-007-9023-7

[19] Ł. Sobaszek, Computer Programming as a Tool for the Engineering Problems Analysis, Applied Computer Science, 9, 2 (2013) 57-71.

[20] M. Osak-Sidoruk, A. Gola, A. Świć, A method for modelling the flow of objects to be machined in FMS using Enterprise Dynamics, Applied Computer Science, 10, 3 (2014) 46-56.

[21] S. Kłos, J. Patalas-Maliszewska, Throughput Analysis of Automatic Production Lines Based on Simulation Methods, [in: ] K. Jackowski et al. (Eds. ), Intelligent Data Engineering and Automated Learning – IDEAL 2015, Springer International Publishing, 2015, pp.181-190.

DOI: 10.1007/978-3-319-24834-9_22