Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30458
On the Analysis and a Few Optimization Issues of a New iCIM 3000 System at an Academic-Research Oriented Institution

Authors: D. R. Delgado Sobrino, R. Holubek, R. Ružarovský

Abstract:

In the past years, the world has witnessed significant work in the field of Manufacturing. Special efforts have been made in the implementation of new technologies, management and control systems, among many others which have all evolved the field. Closely following all this, due to the scope of new projects and the need of turning the existing flexible ideas into more autonomous and intelligent ones, i.e.: moving toward a more intelligent manufacturing, the present paper emerges with the main aim of contributing to the analysis and a few customization issues of a new iCIM 3000 system at the IPSAM. In this process, special emphasis in made on the material flow problem. For this, besides offering a description and analysis of the system and its main parts, also some tips on how to define other possible alternative material flow scenarios and a partial analysis of the combinatorial nature of the problem are offered as well. All this is done with the intentions of relating it with the use of simulation tools, for which these have been briefly addressed with a special focus on the Witness simulation package. For a better comprehension, the previous elements are supported by a few figures and expressions which would help obtaining necessary data. Such data and others will be used in the future, when simulating the scenarios in the search of the best material flow configurations.

Keywords: Flexible/Intelligent assembly/disassembly cell (F/IA/DC), Flexible/Intelligent Manufacturing Systems/Cell (F/IMS/C), Material Flow Optimization/Combinations/Design (MFO/C/D)

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1328764

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1742

References:


[1] Bohács. G., Gáspár, D. & Rinkács, A. (2012). Adaptive simulation techniques for modeling material flow systems. In: IEEE 10th Jubilee International Symposium on Intelligent Systems and Informatics, SISY. Pages 559-563.
[2] Chryssolouris, G. (2006). Manufacturing Systems: Theory and Practice. USA. Ed. 2nd. In: Mechanical Engineering Series. ISBN 0-387-25683-0, e-ISBN 0-387-28431-1, ISBN 978-0387-25683-2
[3] Dani┼íov├í, N.; Ružarovsk├¢, R. & Vel├¡┼íek, K. (2012). Robotics System Design for Assembly and Disassembly Process. In WASET 67 2012
[4] Delgado Sobrino, D. R. &Košťál, P. (2012). Contributions to the design of the material flow at an intelligent manufacturing cell: advantages of the use of simulation. In: Machine Design. ISSN 1821-1259. Vol. 4, No. 2 (2012), p. 83-88.
[5] Delgado Sobrino, D. R., Košťál, P. &Velíšek, K. (2012). Contributions to the design and analysis of the material flow at an intelligent manufacturing cell. In: Proceedings of the 8th International Conference of DAAAM Baltic Industrial Engineering: Tallinn, Estonia. Tallinn University of Technology. ISBN: 978-9949-23-265-9. pp. 436-441.
[6] Delgado Sobrino, D.R. &Velíšek, K. (2013). On the initial design and analysis of the material flow at an intelligent manufacturing cell: benefits of the use of simulation. In: Advances Science Letters, Volume 19, Number 3, pp. 903-907(5). Available in: http://www.ingentaconnect.com/content/asp/asl/2013/00000019/000000 03/art00042
[7] FestoSpol. SR. (2012). System description and scope of delivery. Bratislava, Slovakia.
[8] Heilala, J. (1999). Use of simulation in manufacturing and logistics systems planning. VTT Manufacturing Technology, Finland.
[9] Kosturiak, J. &Gregor, M. (1998). FMS Simulation: Some Experience and Recommendations, Simulation Practice and Theory, Vol. 6, Issue 5, July 15, 1998, 423-442
[10] Kovács, G. &Bóna, K. (2009). Applying a multi-criteria decision methodology in the implementation of tenders for the acquisition of the infrastructure of logistics systems. In: PeriodicaPolytechnica Transportation Engineering, Volume 37, Issue 1-2, 2009, pp. 39-44.
[11] Papadopoulos, C. T. et al. (2009). Analysis and design of discrete part production lines. In: Springer optimization and its applications, vol. 31, New York. ┬® Springer Science+Business Media, LLC 2009. ISSN: 1931-6828, ISBN: 978-0-387-89493-5, e-ISBN: 978-0-387-89494-2.
[12] Verma, R., Gupta, A. & Singh, K. (2009). A critical evaluation and comparison of four manufacturing simulation softwares. Kathmandu University Journal of Science, Engineering and Technology: vol. 5, no. i, January, 2009, pp 104- 120