Novel Capacity Planning Methods for Flexible and Reconfigurable Assembly Systems

Dávid Gyulai

2014

Abstract

The importance of efficient planning methods is increasing with the evolution of manufacturing systems, since flexible and reconfigurable system structures require different planning approaches than the dedicated ones. The research presented in the paper is focused on production and capacity planning methods, which are able to cope with the dynamic changes that occur in the reconfigurable and flexible assembly systems. In the preceding publications of the author, some novel approaches were presented that support the management of modular reconfigurable resources and complex product portfolios.

References

  1. Asl, F. M. and Ulsoy, A. G. (2003). Stochastic optimal capacity management in reconfigurable manufacturing systems. CIRP Annals-Manufacturing Technology, 52(1):371-374.
  2. Bousonville, T., Focacci, F., Le Pape, C., Nuijten, W., Paulin, F., Puget, J.-F., Robert, A., and Sadeghin, A. (2005). Integration of rules and optimization in plant powerops. In Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, pages 1-15. Springer.
  3. Boysen, N., Fliedner, M., and Scholl, A. (2009a). Production planning of mixed-model assembly lines: overview and extensions. Production Planning and Control, 20(5):455-471.
  4. Boysen, N., Fliedner, M., and Scholl, A. (2009b). Sequencing mixed-model assembly lines: Survey, classification and model critique. European Journal of Operational Research, 192(2):349-373.
  5. Ceryan, O. and Koren, Y. (2009). Manufacturing capacity planning strategies. CIRP Annals-Manufacturing Technology, 58(1):403-406.
  6. Colledani, M. and Tolio, T. (2005). A decomposition method to support the configuration/reconfiguration of production systems. CIRP Annals-Manufacturing Technology, 54(1):441-444.
  7. Deif, A. M. and ElMaraghy, W. (2006). Effect of reconfiguration costs on planning for capacity scalability in reconfigurable manufacturing systems. International Journal of Flexible Manufacturing Systems, 18(3):225-238.
  8. Giard, V. and Jeunet, J. (2010). Optimal sequencing of mixed models with sequence-dependent setups and utility workers on an assembly line. International Journal of Production Economics, 123(2):290-300.
  9. Gyulai, D., Kádár, B., Kovács, A., and Monostori, L. (2014a). Capacity management for assembly systems with dedicated and reconfigurable resources. CIRP Annals - Manufacturing Technology, 63(1):457 - 460.
  10. Gyulai, D., Kádár, B., and Monostori, L. (2014b). Capacity planning and resource allocation in assembly systems consisting of dedicated and reconfigurable lines. In Proceedings of the 8th International Conference on Digital Enterprise Technology. Fraunhofer IAO.
  11. Gyulai, D. and Vén, Z. (2012). Order-stream-oriented system design for reconfigurable assembly systems. In Pannon, U., editor, Proceedings of the Factory Automation 2012, pages 138-143. University of Pannonia.
  12. Gyulai, D., Vén, Z., Pfeiffer, A., Váncza, J., and Monostori, L. (2012). Matching demand and system structure in reconfigurable assembly systems. Procedia CIRP, 3:579-584.
  13. Hon, K. and Xu, S. (2007). Impact of product life cycle on manufacturing systems reconfiguration. CIRP AnnalsManufacturing Technology, 56(1):455-458.
  14. Iijima, J. (1996). Automatic model building and solving for optimization problems. Decision Support Systems, 18(3):293-300.
  15. Niroomand, I., Kuzgunkaya, O., and Asil Bulgak, A. (2012). Impact of reconfiguration characteristics for capacity investment strategies in manufacturing systems. International Journal of Production Economics, 139(1):288-301.
  16. Pfeiffer, A., Kádár, B. G., Popovics, G., Kardos, C., Vén, Z., Kemény, L., and Monostori, L. (2012). Applying model-reconstruction by exploring MES and PLC data for simulation support of production systems. In Proceedings of the 2012 Winter Simulation Conference, pages 1-13, Seattle. IEEE.
  17. Popovics, G., Kardos, C., Kemény, L., Gyulai, D., and Monostori, L. (2012). Uniform data structure for production simulation. In Zudor, A. I., Kemény, Z., and Monostori, L., editors, MITIP 2012. 14th International Conference on Modern Information Technology in the Innovation Processes of the Industrial Enterprises. Proceedings volume, pages 168-177, Budapest. MTA SZTAKI.
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Paper Citation


in Harvard Style

Gyulai D. (2014). Novel Capacity Planning Methods for Flexible and Reconfigurable Assembly Systems . In Doctoral Consortium - DCSIMULTECH, (SIMULTECH 2014) ISBN Not Available, pages 23-28


in Bibtex Style

@conference{dcsimultech14,
author={Dávid Gyulai},
title={Novel Capacity Planning Methods for Flexible and Reconfigurable Assembly Systems},
booktitle={Doctoral Consortium - DCSIMULTECH, (SIMULTECH 2014)},
year={2014},
pages={23-28},
publisher={SciTePress},
organization={INSTICC},
doi={},
isbn={Not Available},
}


in EndNote Style

TY - CONF
JO - Doctoral Consortium - DCSIMULTECH, (SIMULTECH 2014)
TI - Novel Capacity Planning Methods for Flexible and Reconfigurable Assembly Systems
SN - Not Available
AU - Gyulai D.
PY - 2014
SP - 23
EP - 28
DO -