Advertisement

Throughput Analysis of Automatic Production Lines Based on Simulation Methods

  • Sławomir KłosEmail author
  • Justyna Patalas-Maliszewska
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9375)

Abstract

The effectiveness of manufacturing systems is a very important ratio that decides about the competitiveness of enterprises. There are a lot of factors which affect the efficiency of production processes such as: operation times, setup times, lot sizes, buffer capacities, etc. In this paper, a computer simulation method is used to model the throughput and provide a product life span analysis of a number of automatic production lines. The research was done for two topologies of manufacturing systems and different capacities of intermediate buffers. Due to the fact that an increase of intermediate buffers results in an increase of work in process, a flow index of production is proposed that includes a relationship between the throughput of a system and the average life span of products. The simulation model and experimental research was made using Tecnomatix Plant Simulation software.

Keywords

Computer simulation Production line Buffer capacity Throughput Life span of products 

References

  1. 1.
    Vidalis, M.I., Papadopoulos, C.T., Heavey, C.: On the workload and ‘phase load’ allocation problems of short reliable production line with finite buffers. Comput. Ind. Eng. 48, 825–837 (2005)CrossRefGoogle Scholar
  2. 2.
    Battini, D., Persona, A., Regattieri, A.: Buffer size design linked to reliability performance: a simulative study. Comput. Ind. Eng. 56, 1633–1641 (2009)CrossRefGoogle Scholar
  3. 3.
    Demir, L., Tunali, S., Eliiyi, D.T.: The state of the art on buffer allocation problem: a comprehensive survey. J. Intell. Manuf. 25, 371–392 (2014)CrossRefGoogle Scholar
  4. 4.
    Staley, D.R., Kim, D.S.: Experimental results for the allocation of buffers in closed serial production lines. Int. J. Prod. Econ. 137, 284–291 (2012)CrossRefGoogle Scholar
  5. 5.
    Vergara, H.A., Kim, D.S.: A new method for the placement of buffers in serial production lines. Int. J. Prod. Res. 47, 4437–4456 (2009)CrossRefzbMATHGoogle Scholar
  6. 6.
    Yamashita, H., Altiok, T.: Buffer capacity allocation for a desired throughput in production lines. IIE Trans. 30, 883–891 (1998)Google Scholar
  7. 7.
    Gurkan, G.: Simulation optimization of buffer allocations in production lines with unreliable machines. Ann. Oper. Res. 93, 177–216 (2000)MathSciNetCrossRefzbMATHGoogle Scholar
  8. 8.
    Fernandes, N.O., Carmo-Silva, S.: Order release in a workload controlled flow-shop with sequence-dependent set-up times. Int. J. Prod. Res. 49(8), 2443–2454 (2011)CrossRefGoogle Scholar
  9. 9.
    Matta A.: Simulation optimization with mathematical programming representation of discrete event systems. In: Proceedings of the 2008 winter simulation conference, pp. 1393–1400 (2008)Google Scholar
  10. 10.
    Shi, C., Gershwin, S.B.: An efficient buffer design algorithm for production line profit maximization. Int. J. Prod. Econ. 122, 725–740 (2009)CrossRefGoogle Scholar
  11. 11.
    Nahas, N., Ait-Kadi, D., Nourelfath, M.: Selecting machines and buffers in unreliable series-parallel production lines. Int. J. Prod. Res. 47(14), 3741–3774 (2009)CrossRefzbMATHGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Faculty of Mechanical EngineeringUniversity of Zielona GóraZielona GóraPoland

Personalised recommendations