Automated Design of Reconfigurable Manufacturing Systems - A Framework based on a Genetic Algorithm and Discrete System Simulation

J. Padayachee, G. Bright

Abstract

The concept of Reconfigurable Manufacturing Systems (RMSs) was formulated due to the global necessity for production systems that are able to economically evolve according to changes in markets and products. Technologies and design methods are under development to enable RMSs to exhibit transformable system layouts, reconfigurable processes, cells and machines. Existing manufacturing design systems do not encapsulate concepts of reconfigurability in design mechanisms to obtain optimal RMS configurations. This paper presents a framework for a resource allocation and shop floor design system within the context of RMSs. The framework focuses on the automated generation of shop floor configurations for systems with high product variety and shared resources. The DEVS, (Discrete Event System Specification), formalism is used to model reconfigurable equipment and simulate manufacturing processes. The “design engine” in the proposed framework, implements a genetic algorithm for the assembly, evaluation and optimisation of candidate shop floor configurations and their corresponding DEVS models.

References

  1. Abdi, M. R. 2005. Selection of a Layout Configuration for Reconfigurable Manufacturing Systems using the AHP. 8th International Symposium on the Analytic Hierarchy Process Multi-criteria Decision Making. Honolulu, Hawaii, USA.
  2. Chow, A. C. H. & Zeigler, B. P. 1994. Parallel DEVS: A Parallel Hierarchical, Modular Modeling Formalism. In: Proceedings of 1994 Winter Simulation Conference, Lake Buena Vista, FL, USA.
  3. Koren, Y., Heisel, U., Jovane, F., Moriwaki, T., Pritschow, G., Ulsoy, G. & Van Brussel, H. 1999. Reconfigurable Manufacturing Systems. Annals of the CIRP, 48, 527-540.
  4. Koren, Y. & Shpitalni, M. 2010. Design of Reconfigurable Manufacturing Systems. Journal of Manufacturing Systems, 29, 130-141.
  5. Malhotra, V., Raj, T. & Arora, A. 2009. Reconfigurable manufacturing system: an overview. International Journal of Machine Intelligence, 1, 38-46.
  6. Mehrabi, M. G., Ulsoy, A. G. & Koren, Y. 2000. Reconfigurable Manufacturing System and Their Enabling Technologies. International Journal of Manufacturing Technology and Management, 1, 113 - 130.
  7. Moon, Y.-M. & Kota, S. 2002. Design of Reconfigurable Machine Tools. Journal of Manufacturing Science and Engineering, 124, 480 - 483.
  8. Padayachee, J., Bright, G. & Masekamela, I. 2009. Modular Reconfigurable Machine Tools: Design, Control and Evaluation. South African Journal of Industrial Engineering, 20, 127-143.
  9. Saaty, T. L. 2008. Decision Making with the Analytic Hierarchy Process. International Jourrnal of Services Sciences, 1, 83-98.
  10. Tang, L., Yip-Hoi, D. M., Wang, W. & Koren, Y. 2003. Concurrent Line-Balancing, Equipment Selection and Throughput Analysis for Multi-Part Optimal Line Design. CIRP 2nd International Conference on Reconfigurable Manufacturing. Ann Arbor, MI, USA.
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Paper Citation


in Harvard Style

Padayachee J. and Bright G. (2012). Automated Design of Reconfigurable Manufacturing Systems - A Framework based on a Genetic Algorithm and Discrete System Simulation . In Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-8565-21-1, pages 153-158. DOI: 10.5220/0004009001530158


in Bibtex Style

@conference{icinco12,
author={J. Padayachee and G. Bright},
title={Automated Design of Reconfigurable Manufacturing Systems - A Framework based on a Genetic Algorithm and Discrete System Simulation},
booktitle={Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2012},
pages={153-158},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004009001530158},
isbn={978-989-8565-21-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Automated Design of Reconfigurable Manufacturing Systems - A Framework based on a Genetic Algorithm and Discrete System Simulation
SN - 978-989-8565-21-1
AU - Padayachee J.
AU - Bright G.
PY - 2012
SP - 153
EP - 158
DO - 10.5220/0004009001530158