Optimization of the Lean Production Process Using the Virtual Manufacturing Cell

Abstract:

The most important element of the production process is the optimization of the conducted operations. It is particularly important for the lean production process. In the paper is presented the analysis of the optimization approach using the CAE systems, the multi-agents systems (MAS) and the distributed robotics (DR) systems. Using the CAE techniques it is possible to elaborate the virtual environment in which the manufacturing cell is designed. The interaction between the virtual model and the process rule base allow improving the design of the existing standard machining technology. The MAS approach let to create the structure of the manufacturing process, taking into account both the machining stands and transport units according to the elaborate technological process. Finally the utilization of the DR approach for the optimization of transport operations including the heuristic algorithms. Moreover in the paper are presented the results of the investigations of analyzed problem on the base of complex production line for the cylindrical elements. The simulations and other analysis have been conducted in advanced computer systems. Also the basic relation between mentioned systems are discussed.

• Periodical: Advanced Materials Research (Volume 1036)
• Pages: 858-863
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1036.858
• Online since: October 2014
• Authors: Agnieszka Sękala*, Aleksander Gwiazda, Zbigniew Monica, Wacław Banaś
• Keywords: CAD/CAE Systems, Lean Production, Multi-Agents Approach, Simulation

References

[1] G. Ćwikła, The methodology of development of the Manufacturing Information Acquisition System (MIAS) for production management, Applied Mechanics and Materials 474 (2014) 27-32.

DOI: 10.4028/www.scientific.net/amm.474.27

[2] C. Grabowik, K. Kalinowski, W. Kempa, I. Paprocka, A survey on CAPP systems development methods, Advanced Materials Research, 837 (2014) 387-392.

DOI: 10.4028/www.scientific.net/amr.837.387

[3] K. Kalinowski, Multistage decision making process of multicriteria production scheduling. Journal of Machine Engineering 12/3 (2012) 20-33.

[4] W. Janik, The method of a material loss detection for cylindrical shape parts of elements with a 3D scanning application, International Journal of Modern Manufacturing Technologies 5/2 (2013) 58-64.

[5] I. Paprocka, B. Skołud, Robust scheduling, a production scheduling model of failures, Applied Mechanics and Materials 307 (2013) 443-446.

DOI: 10.4028/www.scientific.net/amm.307.443

[6] S. Topolska, The role of quality control operations in a process of plastic forming, Journal of Achievements in Materials and Manufacturing Engineering 23/2 (2007) 95-98.

[7] A. Sękala, P. Michalski, D. Krenczyk, Needs of conterporary market: introduction to e-F@ctory®. in: Extreme Machines 1 (2007) (Control Engineering Polska), Trade Media International Holdings sp. z o. o., Warszawa 2007, pp.6-10.

[8] S. M. Deen (ed. ), Agent based manufacturing, Springer Verlag, Berlin (2003).

[9] V. Botti, A. Giret, Anemona: A multi-agent methodology for holonic manufacturing systems, Springer Verlag, Berlin (2008).

[10] M. Wooldridge, N.R. Jennings, Intelligent Agents: Theory and Practice, The Knowledge Engineering Review 10/2 (1995) 115-152.

DOI: 10.1017/s0269888900008122

[11] W. Banaś, K. Herbuś, G. Kost, A. Nierychlok, P. Ociepka, D. Reclik, Simulation of the Stewart platform carried out using the Siemens NX and NI LabVIEW programs, Advanced Materials Research 837 (2014) 537-542.

DOI: 10.4028/www.scientific.net/amr.837.537

[12] A. Dymarek, T. Dzitkowski, K. Herbuś, G. Kost, P. Ociepka, The simulator for teaching how to drive a car for people with disabilities, Solid State Phenomena 198 (2013) 59-64.

DOI: 10.4028/www.scientific.net/ssp.198.59

[13] A. Dymarek, T. Dzitkowski, K. Herbuś, G. Kost, P. Ociepka, Geometric analysis of motions exercised by the Stewart platform, Advanced Materials Research 837 (2014) 351-356.

DOI: 10.4028/www.scientific.net/amr.837.351

[14] J. Ćwiek, J. Łabanowski, S. Topolska, M. Sozańska, Determination of failure causes of a steam turbine casting, Solid State Phenomena 183 (2012) 37-42.

DOI: 10.4028/www.scientific.net/ssp.183.37

[15] S. Topolska, Quality control in the process of rings of train wheels manufacturing, Journal of Achievements in Materials and Manufacturing Engineering 31/2 (2008) 712-718.

[16] J. Ćwiek, J. Łabanowski, S. Topolska, The effect of long-term service at elevated temperatures on structure and mechanical properties of Cr-Mo-V steel, Journal of Achievements in Materials and Manufacturing Engineering 49/1 (2011) 33-39.

[17] S. Topolska, J, Łabanowski, Corrosion of evaporator tubes in low emission steam boilers, Archives of Materials Science and Engineering 42/2 (2010) 85-92.

DOI: 10.2478/v10077-008-0046-x

[18] A. Dymarek, T. Dzitkowski, Passive reduction of system vibrations to the desired amplitude value, Journal of Vibroengineering 15/3 (2013) 1254-1264.

[19] A. Dymarek, T. Dzitkowski, Active synthesis of discrete systems as a tool for reduction vibration, Solid State Phenomena 198 (2013) 427-432.

DOI: 10.4028/www.scientific.net/ssp.198.427

[20] A. Sȩkala, J. Świder, Hybrid graphs in modelling and analysis of discrete-continuous mechanical systems, Journal of Materials Processing Technology 164-165 (2005) 1436-1443.

DOI: 10.1016/j.jmatprotec.2005.02.044

[21] K. Białas, A. Sȩkala, Vibration analysis of mechanical systems with the discrete-continuous distribution of parameters, Solid State Phenomena 198 (2013) 698-703.

DOI: 10.4028/www.scientific.net/ssp.198.698