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Improved methodology for RMS adaptability evaluation

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Abstract

The suggested pragmatic tool and new methodology to assess reconfiguration manufacturing system (RMS) adaptability in small and medium manufacturing industry plays a significant role since it makes to reduce the erroneous reconfiguration in shifting to Industry 4.0 oriented smart factory, and also fill up the gap between theory and physical system. Customizable factors are extracted and mapped for design structure matrix (DSM) and analytic hierarchy process (AHP). Reconfiguration event information is visualized as bill of resource (BoR). Evaluation format of key performance indicators (KPI) choice is suggested. Reconfiguration manager is developed to organize the objects and resource library of reconfigurable assembly module and line. The middleware to control the required resource and objects is proposed. This paper proposes the improved evaluation modeling frame and format based on the newly refined KPI for the adaptability evaluation or assessment of RMS, and shows the available usefulness through an partly applied case in real automotive components manufacturing and assembly factory, and finally discusses issues related with customization of the suggested evaluation methods for reconfiguration.

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Abbreviations

AHP:

analytic hierarchy process

BoM:

bill of material

BoR:

bill of resource

DMS:

dedicated manufacturing system

DSM:

design structure matrix

FMS:

flexible manufacturing system

KPI:

key performance index

MPS:

modular production system

NPV:

net present value

PLM:

products lifecycle management

RMS:

reconfigurable manufacturing system

References

  1. Huettemann, G., Gaffry, C., and Schmitt, R. H., “Adaptation of Reconfigurable Manufacturing Systems for Industrial Assembly-Review of Flexibility Paradigms, Concepts, and Outlook,” Procedia CIRP, Vol. 52, pp. 112–117, 2016.

    Article  Google Scholar 

  2. Ahmad, M., Ahmad, B., Alkan, B., Vera, D., Harrison, R., et al., “Hydrogen Fuel Cell Pick and Place Assembly Systems: Heuristic Evaluation of Reconfigurability and Suitability,” Procedia CIRP, Vol. 57, pp. 428–433, 2016.

    Article  Google Scholar 

  3. ElMaraghy, H. A., “Flexible and Reconfigurable Manufacturing Systems Paradigms,” International Journal of Flexible Manufacturing Systems, Vol. 17, No. 4, pp. 261–276, 2005.

    Article  MATH  Google Scholar 

  4. Koren, Y., “Reconfigurable Manufacturing System,” CIRP Encyclopedia of Production Engineering, Laperrière, L., Reinhart, G., (Eds.), Springer, pp. 1035–1039, 2014.

    Chapter  Google Scholar 

  5. Harms, R., Fleschutz, T., and Seliger, G., “Knowledge Based Approach to Assembly System Reuse,” Proc. of the 9th Biennial ASME Conference on Engineering Systems Design and Analysis, pp. 295–302, 2008.

    Google Scholar 

  6. Reinhart, G. and Wünsch, G., “Economic Application of Virtual Commissioning to Mechatronic Production Systems,” Production Engineering, Vol. 1, No. 4, pp. 371–379, 2007.

    Article  Google Scholar 

  7. Mehrabi, M. G., Ulsoy, A. G., and Koren, Y., “Reconfigurable Manufacturing Systems: Key to Future Manufacturing,” Journal of Intelligent manufacturing, Vol. 11, No. 4, pp. 403–419, 2000.

    Article  Google Scholar 

  8. Koren, Y., “General RMS Characteristics. Comparison with Dedicated and Flexible Systems,” Reconfigurable Manufacturing Systems and Transformable Factories, Vol. 3, pp. 27–45, 2006.

    Article  Google Scholar 

  9. Koren, Y. and Shpitalni, M., “Design of Reconfigurable Manufacturing Systems,” Journal of Manufacturing Systems, Vol. 29, No. 4, pp. 130–141, 2010.

    Article  Google Scholar 

  10. Siltala, N., “Formal Digital Description of Production Equipment Modules for supporting System Design and Deployment,” Tampere University of Technology, 2016.

    Google Scholar 

  11. Giret, A. and Botti, V., “Engineering Holonic Manufacturing Systems,” Computers in Industry, Vol. 60, No. 6, pp. 428–440, 2009.

    Article  Google Scholar 

  12. Frei, R., Barata, J., and Onori, M., “Evolvable Production Systems Context and Implications,” Proc. of IEEE International Symposium on Industrial Electronics, pp. 3233–3238, 2007.

    Google Scholar 

  13. Akillioglu, H., “Evolvable Production Systems: Demand Responsive Planning,” KTH Royal Institute of Technology, 2011. http://www.diva-portal.org/smash/get/diva2:458049/FULLTEXT01.pdf (Accessed 16 JUN 2017)

    Google Scholar 

  14. Kuzgunkaya, O. and ElMaraghy, H. A., “Economic and Strategic Justification of Changeable, Reconfigurable and Flexible Manufacturing,” in: Changeable and Reconfigurable Manufacturing Systems, EIMaraghy, H. A., (Ed.), Springer, pp. 303–320, 2009.

    Chapter  Google Scholar 

  15. Nassehi, A., Newman, S., Dhokia, V., Zhu, Z., and Asrai, R. I., “Using Formal Methods to Model Hybrid Manufacturing Processes,” in: Enabling Manufacturing Competitiveness and Economic Sustainability, ElMaraghy H. (Ed), Springer, pp. 52–56, 2012.

    Chapter  Google Scholar 

  16. Yan, P., Zhou, M., and Caudill, R., “A Life Cycle Engineering Approach to FMS Development,” Proc. of IEEE International Conference on Robotics and Automation, pp. 395–400, 2000.

    Google Scholar 

  17. Lafou, M., Mathieu, L., Pois, S., and Alochet, M., “Manufacturing System Flexibility: Product Flexibility Assessment,” Procedia CIRP, Vol. 41, pp. 99–104, 2016.

    Article  Google Scholar 

  18. Spicer, P., Yip-Hoi, D., and Koren, Y., “Scalable Reconfigurable Equipment Design Principles,” International Journal of Production Research, Vol. 43, No. 22, pp. 4839–4852, 2005.

    Article  Google Scholar 

  19. Abdi, M. R. and Labib, A. W., “A Design Strategy for Reconfigurable Manufacturing Systems (RMSs) Using Analytical Hierarchical Process (AHP): A Case Study,” International Journal of Production Research, Vol. 41, No. 10, pp. 2273–2299, 2003.

    Article  Google Scholar 

  20. Abdi, M. R. and Labib, A., “Feasibility Study of the Tactical Design Justification for Reconfigurable Manufacturing Systems Using the Fuzzy Analytical Hierarchical Process,” International Journal of Production Research, Vol. 42, No. 15, pp. 3055–3076, 2004.

    Article  MATH  Google Scholar 

  21. Farid, A. M. and McFarlane, D. C., “An Approach to the Application of the Design Structure Matrix for Assessing Reconfigurability of Distributed Manufacturing Systems,” Proc. of IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications, pp. 121–126, 2006.

    Google Scholar 

  22. Hasan, F., Jain, P., and Kumar, D., “Machine Reconfigurability Models Using Multi-Attribute Utility Theory and Power Function Approximation,” Procedia Engineering, Vol. 64, pp. 1354–1363, 2013.

    Article  Google Scholar 

  23. Heilala, J., Montonen, J., and Väätäinen, O., “Life Cycle and Unit-Cost Analysis for Modular Reconfigurable Flexible Light Assembly Systems,” Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, Vol. 222, No. 10, pp. 1289–1299, 2008.

    Article  Google Scholar 

  24. Kuo, C.-H., “Resource Allocation and Performance Evaluation of the Reconfigurable Manufacturing Systems,” Proc. of IEEE International Conference on Systems, Man, and Cybernetics, pp. 2451–2456, 2001.

    Google Scholar 

  25. Puik, E., Telgen, D., van Moergestel, L., and Ceglarek, D., “Assessment of Reconfiguration Schemes for Reconfigurable Manufacturing Systems Based on Resources and Lead Time,” Robotics and Computer-Integrated Manufacturing, Vol. 43, pp. 30–38, 2017.

    Article  Google Scholar 

  26. Colledani, M., Yemane, A., and Tognetti, A., “Analysis of In-Line Quality-Oriented Assembly Strategies in the Production of Electric Drives,” Procedia CIRP, Vol. 50, pp. 784–789, 2016.

    Article  Google Scholar 

  27. Michalos, G., Sipsas, P., Makris, S., and Chryssolouris, G., “Decision Making Logic for Flexible Assembly Lines Reconfiguration,” Robotics and Computer-Integrated Manufacturing, Vol. 37, pp. 233–250, 2016.

    Article  Google Scholar 

  28. Wang, G. X., Huang, S. H., Yan, Y., and Du, J. J., “Reconfiguration Schemes Evaluation Based on Preference Ranking of Key Characteristics of Reconfigurable Manufacturing Systems,” The International Journal of Advanced Manufacturing Technology, Vol. 89, Nos. 5-8, pp. 2231–2249, 2017.

    Article  Google Scholar 

  29. Dombrowski, U., Krenkel, P., and Ebentreich, D., “Adaptability within a Multi-Variant Serial Production,” Procedia CIRP, Vol. 17, pp. 124–129, 2014.

    Article  Google Scholar 

  30. Bejlegaard, M., Brunoe, T. D., Bossen, J., Andersen, A.-L., and Nielsen, K., “Reconfigurable Manufacturing Potential in Small and Medium Enterprises with Low Volume and High Variety: Pre-Design Evaluation of Rms,” Procedia CIRP, Vol. 51, pp. 32–37, 2016.

    Article  Google Scholar 

  31. Neumann, M. and Westkämper, E., “Method for a Situation-Based Adaptation and Validation of the Manufacturing Capability of Assembly Systems,” Proc. of the 47th CIRP Conference on Manufacturing Systems, pp. 118–123, 2014.

    Google Scholar 

  32. Zaeh, M. F., Reinhart, G., Lindemann, U., Karl, F., and Biedermann, W., “DSM-Based Evaluation of Assembly Manufacturing Ressources,” Proc. of the 13th International DSM Conference, pp. 435–448, 2011.

    Google Scholar 

  33. Neves, P., “Reconfiguration Methodology to Improve the Agility and Sustainability of Plug and Produce Systems,” Ph.D. Thesis, KTH Royal Institute of Technology, 2016.

    Google Scholar 

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Authors and Affiliations

  1. Korea Institute of Science and Technology Information(ReSEAT), 66, Hoegi-ro, Dongdaemun-gu, Seoul, 02456, South Korea

    Jong Man Park

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Correspondence to Jong Man Park.

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Park, J.M. Improved methodology for RMS adaptability evaluation. Int. J. Precis. Eng. Manuf. 18, 1537–1546 (2017). https://doi.org/10.1007/s12541-017-0182-5

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