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A heuristic approach to module synthesis in the design of reconfigurable manufacturing systems

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Abstract

While it is well recognized in the literature that modularity is a very important enabler for reconfigurability in manufacturing systems, there is very limited practical guidance on how the various required functions of a production system should be grouped into modules. In this work, a new heuristic approach is developed and presented, to aid the system developer in the identification and synthesis of potential modules during the early design stage of a reconfigurable manufacturing system. The work involves the identification of key module drivers for such systems, and of key criteria that can be used to facilitate the optimization of the granularity and effectiveness of the system. The results are presented in the form of a semi-algorithmic design tool that can be easily understood and used by the developer. The tool is applied to three very different industrial case studies, and is shown to be applicable to various manufacturing scenarios and sub-sectors. The use of the new tool is compared to the use of a design structure matrix approach to function clustering for module synthesis, and is shown to be easier and more objective in its application.

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References

  1. Mehrabi MG, Ulsoy AG, Koren Y (2000) Reconfigurable manufacturing systems: key to future manufacturing. J Intell Manuf 11:403–419. https://doi.org/10.1023/A:1008930403506

    Article  Google Scholar 

  2. Koren Y (2006) General RMS characteristics. Comparison with dedicated and flexible systems. Reconfigurable Manuf. In: Syst. Transform. Factories. Springer Berlin Heidelberg, Berlin, Heidelberg, pp 27–45. https://doi.org/10.1007/3-540-29397-3_3

    Google Scholar 

  3. Andersen A-L, Brunoe TD, Nielsen K, Rösiö C (2017) Towards a generic design method for reconfigurable manufacturing systems: analysis and synthesis of current design methods and evaluation of supportive tools. J Manuf Syst 42:179–195. https://doi.org/10.1016/J.JMSY.2016.11.006

    Article  Google Scholar 

  4. Singh A, Gupta S, Asjad M, Gupta P (2017) Reconfigurable manufacturing systems: journey and the road ahead. Int J Syst Assur Eng Manag 8:1849–1857. https://doi.org/10.1007/s13198-017-0610-z

    Article  Google Scholar 

  5. Koren Y, Shpitalni M (2010) Design of reconfigurable manufacturing systems. J Manuf Syst 29:130–141. https://doi.org/10.1016/J.JMSY.2011.01.001

    Article  Google Scholar 

  6. van Voorthuysen E, Olsen J, Langley K, Lipski M, Subramanian K (2017) Design for scalability of industrial processes using modular components. Proc Inst Mech Eng Part B J Eng Manuf 231:1464–1478. https://doi.org/10.1177/0954405415598893

    Article  Google Scholar 

  7. Renzi C, Leali F, Cavazzuti M, Andrisano AO (2014) A review on artificial intelligence applications to the optimal design of dedicated and reconfigurable manufacturing systems. Int J Adv Manuf Technol 72:403–418. https://doi.org/10.1007/s00170-014-5674-1

    Article  Google Scholar 

  8. Bussmann S, Schild K (2001) An agent-based approach to the control of flexible production systems. 8th Int. Conf. Emerg. Technol. Fact. Autom. Proc. (Cat. No.01TH8597), vol. 2, IEEE; n.d., pp 481–488. https://doi.org/10.1109/ETFA.2001.997722

  9. Farid AM, Ribeiro L (2015) An axiomatic design of a multiagent reconfigurable mechatronic system architecture. IEEE Trans Ind Informatics 11:1142–1155. https://doi.org/10.1109/TII.2015.2470528

    Article  Google Scholar 

  10. Khedri Liraviasl K, ElMaraghy H, Hanafy M, Samy SN (2015) A framework for modelling reconfigurable manufacturing systems using hybridized discrete-event and agent-based simulation. IFAC-PapersOnLine 48:1490–1495. https://doi.org/10.1016/J.IFACOL.2015.06.297

    Article  Google Scholar 

  11. Borgo S, Cesta A, Orlandini A, Umbrico A (2016) A planning-based architecture for a reconfigurable manufacturing system. Proc. Twenty-Sixth Int. Conf. Autom. Plan. Sched., AAAI, pp 358–366

  12. Haddou Benderbal H, Dahane M, Benyoucef L (2018) Modularity assessment in reconfigurable manufacturing system (RMS) design: an archived multi-objective simulated annealing-based approach. Int J Adv Manuf Technol 94:729–749. https://doi.org/10.1007/s00170-017-0803-2

    Article  Google Scholar 

  13. Shaik AM, Rao VVSK, Rao CS (2015) Development of modular manufacturing systems—a review. Int J Adv Manuf Technol 76:789–802. https://doi.org/10.1007/s00170-014-6289-2

    Article  Google Scholar 

  14. Rogers GG, Bottaci L (1997) Modular production systems: a new manufacturing paradigm. J Intell Manuf 8:147–156. https://doi.org/10.1023/A:1018560922013

    Article  Google Scholar 

  15. Huang C-C, Kusiak A (1998) Modularity in design of products and systems. IEEE Trans Syst Man, Cybern - Part A Syst Humans 28:66–77. https://doi.org/10.1109/3468.650323

    Article  Google Scholar 

  16. Malhotra V, Raj T, Arora A (2009) Reconfigurable manufacturing system: an overview. Int J Mach Intell 1:38–46. https://doi.org/10.9735/0975-2927.1.2.38-46

    Article  Google Scholar 

  17. Harrison R, Lee SM, Ong MH, West AA (2006) Distributed engineering of modular reconfigurable automation systems. Proc. 12th IFAC Int. Symp. Inf. Control Probl. Manuf. St Etienne, France, pp 523–528

    Google Scholar 

  18. Kamrani AK, Gonzalez R (2003) A genetic algorithm-based solution methodology for modular design. J Intell Manuf 14:599–616. https://doi.org/10.1023/A:1027362822727

    Article  Google Scholar 

  19. Koren Y, Heisel U, Jovane F, Moriwaki T, Pritschow G, Ulsoy G, van Brussel H (1999) Reconfigurable manufacturing systems. CIRP Ann 48:527–540. https://doi.org/10.1016/S0007-8506(07)63232-6

    Article  Google Scholar 

  20. Rösiö C, Säfsten K (2013) Reconfigurable production system design—theoretical and practical challenges. J Manuf Technol Manag 24:998–1018. https://doi.org/10.1108/JMTM-02-2012-0021

    Article  Google Scholar 

  21. Azzopardi S, Saliba MA, Zammit D, Pace C (2009) An intersectoral reconfigurable manufacturing automation testbed: preliminary design considerations. Proc ASME/IFToMM Int Conf Reconfigurable Mech Robot pp 696–704

  22. Fredriksson P (2006) Mechanisms and rationales for the coordination of a modular assembly system: the case of Volvo cars. Int J Oper Prod Manag 26:350–370. https://doi.org/10.1108/01443570610650530

    Article  Google Scholar 

  23. Bi ZM, Zhang WJ (2001) Modularity technology in manufacturing: taxonomy and issues. Int J Adv Manuf Technol 18:381–390. https://doi.org/10.1007/s001700170062

    Article  Google Scholar 

  24. Kusiak A (2002) Integrated product and process design: a modularity perspective. J Eng Des 13:223–231. https://doi.org/10.1080/09544820110108926

    Article  Google Scholar 

  25. Ericsson A, Erixon G (1999) Controlling design variants: modular product platforms. Society of Manufacturing Engineers, Dearborn, MI

    Google Scholar 

  26. Deif AM, ElMaraghy WH (2006) A systematic design approach for reconfigurable manufacturing systems. In: ElMaraghy HA, ElMaraghy WH (eds) Adv. Des. Springer London, London, pp 219–228. https://doi.org/10.1007/1-84628-210-1_18

    Google Scholar 

  27. Moon YM (2006) Reconfigurable machine tool design. In: Reconfigurable machine tool design. Reconfigurable Manuf. Syst. Transform. Factories. Springer, Berlin, Heidelberg, pp 111–139. https://doi.org/10.1007/3-540-29397-3_7

    Chapter  Google Scholar 

  28. Pérez RR, Aca SJ, Valverde TA, Ahuett GH, Molina GA, Riba RC (2004) A modularity framework for concurrent design of reconfigurable machine tools. Springer, Berlin, Heidelberg, pp 87–95. https://doi.org/10.1007/978-3-540-30103-5_10

    Google Scholar 

  29. Browning TR (2016) Design structure matrix extensions and innovations: a survey and new opportunities. IEEE Trans Eng Manag 63:27–52. https://doi.org/10.1109/TEM.2015.2491283

    Article  Google Scholar 

  30. ElMaraghy H, AlGeddawy T (2015) A methodology for modular and changeable design architecture and application in automotive framing systems. J Mech Des 137:121403. https://doi.org/10.1115/1.4031549

    Article  Google Scholar 

  31. Lameche K, Najid NM, Castagna P, Kouiss K (2017) Modularity in the design of reconfigurable manufacturing systems. IFAC-PapersOnLine 50:3511–3516. https://doi.org/10.1016/J.IFACOL.2017.08.939

    Article  Google Scholar 

  32. Thebeau RE (2001) Knowledge management of system interfaces and interactions for product development process. Dissertation, Massachusetts Institute of Technology

  33. Adams KM (2015) Design methodologies. Springer, Cham, pp 15–43. https://doi.org/10.1007/978-3-319-18344-2_2

    Google Scholar 

  34. Spiewak SA, Duggirala R, Barnett K (2000) Predictive monitoring and control of the cold extrusion process. CIRP Ann 49:383–386. https://doi.org/10.1016/S0007-8506(07)62970-9

    Article  Google Scholar 

  35. Downtime Costs Auto Industry $22k/Minute-Survey n.d. https://news.thomasnet.com/companystory/downtime-costs-auto-industry-22k-minute-survey-481017. Accessed 4 Feb 2019

  36. Nofen D, Klussmann J, Loellmann F (2003) Transformability by modular facility structures. Proc. 2nd CIRP Int. Conf. Reconfigurable Manuf., Ann Arbor, MI

  37. Heisel U, Meitzner M (2004) Progress in reconfigurable manufacturing systems. J Manuf Sci Prod 6:1–8

    Article  Google Scholar 

  38. Rauch E, Matt DT, Dallasega P (2016) Application of axiomatic design in manufacturing system design: a literature review. Procedia CIRP 53:1–7. https://doi.org/10.1016/J.PROCIR.2016.04.207

    Article  Google Scholar 

  39. Thebeau RE (2001) Matlab DSM Clustering Code. http://www.dsmweb.org/en/dsm-tools/research-tools/matlab.html. Accessed 4 Feb 2019

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Funding

This work was funded by the Maltese National Research and Innovation Programme through the Malta Council for Science and Technology (Contract Number R&I-2006-045).

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Authors and Affiliations

  1. Faculty of Engineering, University of Malta, Msida, MSD, 2080, Malta

    Michael A. Saliba, Sandro Azzopardi, Conrad Pace & Dawn Zammit

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  1. Michael A. Saliba
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  2. Sandro Azzopardi
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  3. Conrad Pace
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  4. Dawn Zammit
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Correspondence to Michael A. Saliba.

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Saliba, M.A., Azzopardi, S., Pace, C. et al. A heuristic approach to module synthesis in the design of reconfigurable manufacturing systems. Int J Adv Manuf Technol 102, 4337–4359 (2019). https://doi.org/10.1007/s00170-019-03444-4

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