Abstract
A reconfigurable manufacturing system (RMS) is designed at the outset with the capability of rapid adjustment of production capacity and functionality in response to fluctuations in product demand. This paper is presenting a model of RMS containing reconfigurable/modular machines assembled from sets of basic and auxiliary modules to exhibit two key characteristics: a defined range of functionality and scalable capacity. By suitable selection of modules, different operation capabilities with a varying degree of capacity can be developed. Products with alternative process plans and two discrete levels (low and high) of capacity requirements are considered for the modular machines. The objective of the work is to identify the best production sequence and respective process plans in order to minimize the total number of module changes while fulfilling the capacity constraint. Self-organizing migrating algorithm (SOMA) an evolutionary migration algorithm-based search is applied to find the near-optimal solution for the NP-hard combinatorial optimization problem. The approach is illustrated through a numerical problem along with computational results as applied to a hypothetical RMS model.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Koren, Y., Heisel, U., Joveane, F., Moriwaki, T., Pritschow, G., Ulsoy, G., van Brussel, H.: Reconfigurable manufacturing systems. Ann. CIRP 48(2), 527–541 (1999)
Deif, A.M., ElMaraghy, W.: Investigating optimal capacity scalability scheduling in a reconfigurable manufacturing system. Int. J. Adv. Manuf. Technol. 32, 557–562 (2007)
Mehrabi, M.G., Ulsoy, A.G., Koren, Y., Heytler, P.: Trends and perspectives in flexible and reconfigurable manufacturing systems. J. Intell. Manuf. 13, 135–146 (2002)
Xiaobo, Z., Jiancai, W., Zhenbi, L.: A stochastic model of a reconfigurable manufacturing system: Part I, a framework. Int. J. Prod. Res. 38(10), 2273–2285 (2000)
Landers, R.G., Min, B.K., Koren, Y.: Reconfigurable machine tools. Ann. CIRP 50, 269–274 (2001)
Moon, Y.M., Kota, S.: Design of reconfigurable machine tools. J. Manuf. Sci. Eng. Trans. ASME 124, 480–483 (2002)
Moon, Y.M., Kota, S.: Generalized kinematic modeling of reconfigurable machine tools. J. Mech. Des. Trans. ASME 124, 47–51 (2002)
ElMaraghy, H.A.: Flexible and reconfigurable manufacturing systems paradigms. Int. J. Flex. Manuf. Syst. 17, 261–276 (2006)
Pattanaik, L.N., Jain, P.K., Mehta, N.K.: Cell formation in the presence of reconfigurable machines. Int. J. Adv. Manuf. Technol. 34, 335–345 (2007)
Bi, Z.M., Lang, S.Y.T., Shen, W., Wang, L.: Reconfigurable manufacturing systems: the state of the art. Int. J. Prod. Res. 46, 967–992 (2008)
Bensmaine, A., Dahane, M., Benyoucef, L.: A non-dominated sorting genetic algorithm based approach for optimal machines selection in reconfigurable manufacturing environment. Comput. Ind. Eng. 66(3), 519–524 (2013)
Goyal, K.K., Jain, P.K., Jain, M.: A novel methodology to measure the responsiveness of RMTs in reconfigurable manufacturing system. J. Manuf. Syst. 32(4), 724–730 (2013)
Paolo, R.: Decision-making method of reconfigurable manufacturing systems’ reconfiguration by a Gale-Shapley model. J. Manuf. Syst. 45, 149–158 (2017)
Khaled, L., Najib, M.N., Pierre, C., Khalid, K.: Modularity in the design of reconfigurable manufacturing systems. IFAC-P. 50(1), 3511–3516 (2017)
Erik, P., Daniel, T., Leovan, M., Darek, C.: Assessment of reconfiguration schemes for Reconfigurable Manufacturing Systems based on resources and lead time. Robot. Comput. Integr. Manuf. 43, 30–38 (2017)
Yair, S.: Reconfigurable machine tool: CNC machine for milling, grinding and polishing. Proced. Manuf. 21, 221–227 (2018)
Zelinka, I., Lampinen, J: SOMA-self-organizing migrating algorithm. In: Proceedings of the 6th International Conference on Soft Computing, Brno, Czech Republic, pp. 177–187 (2000)
Kumar, A., Pattanaik, L.N., Agrawal, R.: Optimal sequence planning for multi-model reconfigurable assembly systems. Int. J. Adv. Manuf. Technol. (2018). https://doi.org/10.1007/s00170-018-2826-8
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Pattanaik, L.N. (2020). Self-Organizing Migrating Algorithm to Minimize Module Changes at Machine-Level in Reconfigurable Manufacturing. In: Shunmugam, M., Kanthababu, M. (eds) Advances in Simulation, Product Design and Development. Lecture Notes on Multidisciplinary Industrial Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-32-9487-5_2
Download citation
DOI: https://doi.org/10.1007/978-981-32-9487-5_2
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-32-9486-8
Online ISBN: 978-981-32-9487-5
eBook Packages: EngineeringEngineering (R0)