Abstract
In present global economy manufacturing systems be supposed to be more responsive to progressively changing, developing customer demands and diminishing product life cycles. Reconfigurable manufacturing system (RMS) is measured as an advanced manufacturing system well resourced to offer preferred functionality and capacity when exactly it needed. RMS is capable of achieving beneficial characteristics of both Flexible Manufacturing system (FMS) and dedicated manufacturing system (DMS). Reconfigurable machines (RM) are designed after formation of part family considering manufacturing operation need to perform on job. The learning of RMS is in incubation period hence; cost effective implementation of RMS in real life depends upon best set of part family formation. In this paper part family is formed for variety of gears and eccentric pin having variations in their geometry and manufacturing process. Part family is formed by using operation sequence dependent BMIM (by passing moves and idle machines) similarity coefficient and Average linkage clustering (ALC) method is applied to group part in family. Dendogram formed for part family shows percentage of similarity between parts; so the families of parts processing with use of RMS gets benefits of similarity in expressions of reduction in set up time on hobbing machines, cost related with designing fixtures and tools.
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References
Galan R, Racero J, Eguia I, Garcia J (2007) A systematic approach for product families formation in reconfigurable manufacturing systems. Robot Comput-Integr Manuf 23:489–502
Goyal K, Jain P, Jain M (2013) A comprehensive approach to operation sequence similarity based part family formation in the reconfigurable manufacturing system. Int J Prod Res 51:1762–1776
Kadhkoush M, Elmaraghy H (2014) Product family formation for reconfigurable assembly systems. Procedia CIRP 17:302–307
Koren Y, Shpitalni M (2010) Design of reconfigurable manufacturing systems. J Manuf Syst 29:130–141
Koren Y, Wang W (2012) Scalability planning for reconfigurable manufacturing system. J Manuf Syst 31:83–91
Putnik G, Sluga A, Eimaraghy H, Teti R, Korean Y, Yolio T, Hon B (2013) Scalability in manufacturing systems design and operation: state-of-art the future developments roadmap. CIRP Ann 62:751–774
Singh A, Kumar P, Singh S (2013) Vision, principles and impact of reconfigurable manufacturing system. Int J Eng Adv Technol 3:238–240
Tillbury D, Kota S (1999) Integrated machine and control design for reconfigurable machine tools. In: Proceedings of IEEE/ASME, 1999, pp 629–634
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Shivads, R.K., Telsang, M.T. (2018). Operation Sequence Dependent Part Family Formation for Reconfigurable Manufacturing System (RMS). In: Antony, K., Davim, J. (eds) Advanced Manufacturing and Materials Science. Lecture Notes on Multidisciplinary Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-76276-0_41
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DOI: https://doi.org/10.1007/978-3-319-76276-0_41
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