MACHINE GROUPING IN CELLULAR MANUFACTURING SYSTEM USING TANDEM AUTOMATED GUIDED VEHICLE WITH ACO BASED SIX SIGMA APPROACH

Iraj Mahdavi, Babak Shirazi, Mohammad Mahdi Paydar

2008

Abstract

Effective design of material handling devices is one of the most important decisions in cellular manufacturing system. Minimization of material handling operations could lead to optimization of overall operational costs. An automated guided vehicle (AGV) is a driverless vehicle used for the transportation of materials within a production plant partitioned into cells. The tandem layout is according to dividing workstations to some non-overlapping closed zones that in each zone a tandem automated guided vehicle (TAGV) is allocated for internal transfers. Also, among adjacent loops some places are determined for exchanging semi-produced parts. This paper illustrates a non-linear multi-objective problem for minimizing the material flow intra and inter-loops and minimization of maximum amount of inter cell flow, considering the limitation of TAGV work-loading. For reducing variability of material flow and establishing balanced loop layout, some new constraints have been added to the problem based on six sigma approach. Due to the complexity of the problem, ant colony optimization (ACO) algorithm is used for solving this model. Finally this approach has been compared with the existing methods to demonstrate the advantages of the proposed model.

References

  1. Asef-Vaziri, A., Dessouky, M., Sriskandarajah, C., 2001. A loop material flow system design for automated guided vehicles. Int. J. Flex. Manuf. Sys. 13, 33-48.
  2. Asef-Vaziri, A. Laporte, G. Sriskandarajah, C., 2005. The block layout shortest loop design problem. IIE Trans. 32, 724-734.
  3. Banerjee, P., Zhou, Y., 1995. Facilities layout design optimization with single loop material flow path configuration. Int. J. Prod. Res. 33, 183-203.
  4. Barad, M., Sinriech, D., 1998. A Petri net model for the operational design and analysis of segmented flow topology (SFT) AGV system. Int. J. Prod. Res. 36, 1401-1426.
  5. Bozer, Y.A., Srinivasan, M.M., 1991. Tandem configuration for automated guided vehicle systems and the analysis of single vehicle loops. IIE Trans. 23, 72-82.
  6. Bozer, Y.A., Srinivasan, M.M., 1992. Tandem AGV systems: a partitioning algorithm and performance comparison with conventional AGV systems. Eur. J. Operat. Res. 63, 173-191.
  7. Chhajed, D., Montreuil, B., Lowe, T., 1992.Flow network design for manufacturing systems layout. Eur. J. Operat. Res. 57 - 145-161.
  8. Farahani, R.Z., Tari, F.G., 2001. Optimal flow path designing of unidirectional AGV systems. Int. J. Eng. Sci. 12 , 31-44.
  9. Farahani, R.Z., Tari, F.G., 2002. A branch and bound method for finding flow-path designing of AGV systems. IIE Trans. 15 , 81-90.
  10. Farahani, R.Z., Laporte, G., Sharifyazdi, M., 2005 A practical exact algorithm for the shortest loop design problem in a block layout. Int. J.Prod. Res. 43, 1879- 1887.
  11. Gaskin, R.J., Tanchoco, J.M.A., 1987. Flow path design for automated guided vehicle system. Int. J. Prod. Res. 25, 667-676.
  12. Gaskin, R.J., Tanchoco, J.M.A., Taghaboni, F., 1989. Virtual flow paths for free ranging automated guided vehicle systems. Int. J. Prod. Res. 27, 91-100.
  13. Hillier, F.S., Lieberman, G.J., 2005. McGraw-Hill International Edition, Eight edition. Operations Research.
  14. Kaspi, M., Tanchoco, J.M.A., 1990. Optimal flow path design of unidirectional AGV systems. Int. J. Prod. Res. 28, 1023-1030.
  15. Kaspi, M., Kesselman, U., Tanchoco, J.M.A., 2002. Optimal solution for the flow path design problem of a balanced unidirectional AGV system, Int. J. Prod. Res. 40, 349-401.
  16. Kim, C.W.. Tanchoco, J.M.A., 1991. Conflict-free shortest-time bi-directional AGV routing. Int. J. Prod. Res. 29, 2377-2391.
  17. Ko, K.C., Egbelu, P.J., 2003. Unidirectional AGV guide path network design: a heuristic algorithm. Int. J. Prod. Res. 41, 2325-2343.
  18. Kouvelis, P., Gutierrez, G.J., Chiang, W.C., 1992. Heuristic unidirectional flow path design approach for automated guided vehicle systems. Int. J. Prod. Res. 30, 1327-1351.
  19. Laporte, G., Asef-Vaziri, A., Sriskandarajah, C., 1996. Some application of the generalized traveling salesman problem. J. Oper. Res. Soc. 47,1461-1467.
  20. Laporte, G., Farahani, Z.R., 2006. Elnaz Miandoabchi, Designing an efficient method for tandem AGV network design problem using tabu search. Applied Mathematics and Computation.
  21. Lin, J.T., Chang, C.C.K., Liu, W.C., 1194. A load routing problem in a tandem-configuration automated guided vehicle system, Int. J. Prod.Res. 32, 411-427.
  22. Rajagopalan, S., Heragu, S.S., Taylor G.D., 2004. A Lagrangian relaxation approach to solving the integrated pick-up/drop-off point and AGV flow path design problem. Appl. Math. Model. 28, 735-750.
  23. Seo, Y., Egbelu, P.J., 1995. Flexible guide path design for automated guided vehicle systems. Int. J. Prod. Res. 33, 1135-1156.
  24. Sinriech, D., Tanchoco, J.M.A., 1991. Intersection graph method for AGV flow path design, Int. J. Prod. Res. 29, 1725-1732.
  25. Sinriech, D., Tanchoco, J.M.A., 1993. Solution methods for the mathematical models of single loop AGV systems. Int. J. Prod. Res. 31, 705-726.
  26. Sinriech, D., Tanchoco, J.M.A., 1994. SFT - segmented flow topology, in: J.M.A. Tanchoco (Ed.), Material Flow System in Manufacturing, Chapter 8. Chapman and Hall, London, 200-235.
  27. Sinriech, D., Tanchoco, J.M.A., 1995. An introduction to the segmented flow approach to discrete material flow systems. Int. J. Prod. Res. 33, 3381-3410.
  28. Sinriech, D., Tanchoco J.M.A., 1997. Design procedures and implementation of the segmented flow topology (SFT) for discrete material flow systems. IIE Trans. 29, 323-335.
  29. Sun, X.-C., Tchernev, N., 1996. Impact of empty vehicle flow on optimal flow path design for unidirectional AGV systems. Int. J. Prod. Res. 34, 2827-2852.
  30. Tanchoco, J.M.A., Sinriech, D., 1992. OSL - optimal single loop guide paths for AGVs. Int. J. Prod. Res. 30, 665-681.
  31. Venkataramanan, M.A., Wilson, K.A., 1991. A branchand bound algorithm for flow path design of automated guided vehicle systems. Nav. Res. Logist. Q. 38, 431-445.
Download


Paper Citation


in Harvard Style

Mahdavi I., Shirazi B. and Mahdi Paydar M. (2008). MACHINE GROUPING IN CELLULAR MANUFACTURING SYSTEM USING TANDEM AUTOMATED GUIDED VEHICLE WITH ACO BASED SIX SIGMA APPROACH . In Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-8111-37-1, pages 261-267. DOI: 10.5220/0001697602610267


in Bibtex Style

@conference{iceis08,
author={Iraj Mahdavi and Babak Shirazi and Mohammad Mahdi Paydar},
title={MACHINE GROUPING IN CELLULAR MANUFACTURING SYSTEM USING TANDEM AUTOMATED GUIDED VEHICLE WITH ACO BASED SIX SIGMA APPROACH},
booktitle={Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2008},
pages={261-267},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001697602610267},
isbn={978-989-8111-37-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - MACHINE GROUPING IN CELLULAR MANUFACTURING SYSTEM USING TANDEM AUTOMATED GUIDED VEHICLE WITH ACO BASED SIX SIGMA APPROACH
SN - 978-989-8111-37-1
AU - Mahdavi I.
AU - Shirazi B.
AU - Mahdi Paydar M.
PY - 2008
SP - 261
EP - 267
DO - 10.5220/0001697602610267