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An Approach to Jointly Optimize the Process Plan, Scheduling, and Layout Design in Reconfigurable Manufacturing Systems

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Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future (SOHOMA 2021)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1034))

Abstract

Reconfigurable manufacturing systems (RMS) are a new paradigm studied to respond to current industry challenges like customized products, demand variation, and a shorter product life cycle. One of the main challenges in RMS is their optimization, which can be related to different issues: process planning, scheduling, layout design, line balancing, reconfigurability, product family design, etc. Although RMS optimization is gaining interest from academics and industries, RMS layout optimization is still understudied, especially when integrated with others. This work proposes a model formulation to jointly optimize the process planning, scheduling, and layout in the RMS context. The proposed mathematical model was validated with a numerical example solved using a commercial solver.

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References

  1. Eguia, I., Racero, J., Guerrero, F., Lozano, S.: Cell formation and scheduling of part families for reconfigurable cellular manufacturing systems using Tabu search. Simulation 89(9), 1056–1072 (2013). https://doi.org/10.1177/0037549713491590

    Article  Google Scholar 

  2. Campos Sabioni, R., Daaboul, J., Le Duigou, J.: Concurrent optimization of modular product and reconfigurable manufacturing system configuration: a customer-oriented offer for mass customization. Int. J. Prod. Res. (2021). https://doi.org/10.1080/00207543.2021.1886369

    Article  Google Scholar 

  3. Yelles-Chaouche, A.R., Gurevsky, E., Brahimi, N., Dolgui, A.: Reconfigurable manufacturing systems from an optimisation perspective: a focused review of literature. Int. J. Prod. Res. 0(0), 1–19 (2020)

    Google Scholar 

  4. Mohapatra, P., Benyoucef, L., Tiwari, M.K.: Integration of process planning and scheduling through adaptive setup planning: a multi-objective approach. Int. J. Prod. Res. 51(23–24), 7190–7208 (2013)

    Article  Google Scholar 

  5. Dou, J., Li, J., Su, C.: Bi-objective optimization of integrating configuration generation and scheduling for reconfigurable flow lines using NSGA-II. Int. J. Adv. Manuf. Technol. 86(5–8), 1945–1962 (2015)

    Google Scholar 

  6. Bensmaine, A., Dahane, M., Benyoucef, L.: A new heuristic for integrated process planning and scheduling in reconfigurable manufacturing systems. Int. J. Prod. Res. 52(12), 3583–3594 (2014)

    Article  Google Scholar 

  7. Gao, S., Daaboul, J., Le Duigou, J.: Planning and scheduling in reconfigurable manufacturing system for mass customized products. In: 9th International Conference on Mass Customization and Personalization-Community of Europe (MCP-CE 2020), pp. 47–56 (2020)

    Google Scholar 

  8. Chaube, A., Benyoucef, L., Tiwari, M.K.: An adapted NSGA-2 algorithm based dynamic process plan generation for a reconfigurable manufacturing system. J. Intell. Manuf. 23(4), 1141–1155 (2010)

    Article  Google Scholar 

  9. Haddou Benderbal, H., Dahane, M., Benyoucef, L.: Flexibility-based multi-objective approach for machines selection in reconfigurable manufacturing system (RMS) design under unavailability constraints. Int. J. Prod. Res. 55(20), 6033–6051 (2017)

    Article  Google Scholar 

  10. Touzout, F.A., Benyoucef, L.: Multi-objective sustainable process plan generation in a reconfigurable manufacturing environment: exact and adapted evolutionary approaches. Int. J. Prod. Res. 57(8), 2531–2547 (2018)

    Article  Google Scholar 

  11. Touzout, F.A., Benyoucef, L.: Multi-objective multi-unit process plan generation in a reconfigurable manufacturing environment: a comparative study of three hybrid metaheuristics. Int. J. Prod. Res. 57(24), 7520–7535 (2019)

    Article  Google Scholar 

  12. Ye, H., Liang, M.: Simultaneous modular product scheduling and manufacturing cell reconfiguration using a genetic algorithm. J. Manuf. Sci. Eng. Trans. ASME 128(4), 984–995 (2006)

    Article  Google Scholar 

  13. Yu, J.M., Doh, H.H., Kim, J.S., Kwon, Y.J., Lee, D.H., Nam, S.H.: Input sequencing and scheduling for a reconfigurable manufacturing system with a limited number of fixtures. Int. J. Adv. Manuf. Technol. 67(1–4), 157–169 (2013)

    Article  Google Scholar 

  14. Dou, J., Li, J., Xia, D., Zhao, X.: A multi-objective particle swarm optimisation for integrated configuration design and scheduling in reconfigurable manufacturing system. Int. J. Prod. Res. 1–21 (2020)

    Google Scholar 

  15. Guan, X., Dai, X., Qiu, B., Li, J.: A revised electromagnetism-like mechanism for layout design of reconfigurable manufacturing system. Comput. Ind. Eng. 63(1), 98–108 (2012)

    Article  Google Scholar 

  16. Maniraj, M., Pakkirisamy, V., Jeyapaul, R.: An ant colony optimization-based approach for a single-product flow-line reconfigurable manufacturing systems. Proc. Inst. Mech. Eng. Part B: J. Eng. Manuf. 231(7), 1229–1236 (2015)

    Article  Google Scholar 

  17. Haddou-Benderbal, H., Dahane, M., Benyoucef, L.: Layout evolution effort for product family in reconfigurable manufacturing system design. IFAC-PapersOnLine 50(1), 10166–10171 (2017)

    Article  Google Scholar 

  18. Benderbal, H., Dahane, M., Benyoucef, L.: Exhaustive search based heuristic for solving machine layout problem in reconfigurable manufacturing system design. IFAC-PapersOnLine 51(11), 78–83 (2018)

    Article  Google Scholar 

  19. Haddou Benderbal, H., Benyoucef, L.: Machine layout design problem under product family evolution in reconfigurable manufacturing environment: a two-phase-based AMOSA approach. Int. J. Adv. Manuf. Technol. 104(1–4), 375–389 (2019)

    Article  Google Scholar 

  20. Wei, X., Yuan, S., Ye, Y.: Optimizing facility layout planning for reconfigurable manufacturing system based on chaos genetic algorithm. Prod. Manuf. Res. 7(1), 109–124 (2019)

    Google Scholar 

  21. Han, S., Chang, T.W., Hong, Y., Park, J.: Reconfiguration decision-making of IoT based reconfigurable manufacturing systems. Appl. Sci. (Switzerland) 10(14) (2020)

    Google Scholar 

  22. Ghanei, S., Algeddawy, T.: An integrated multi-period layout planning and scheduling model for sustainable reconfigurable manufacturing systems. J. Adv. Manuf. Syst. 19(1), 31–64 (2020)

    Article  Google Scholar 

  23. Reza Abdi, M.: Layout configuration selection for reconfigurable manufacturing systems using the fuzzy AHP. Int. J. Manuf. Technol. Manag. 17(1–2), 149–165 (2009)

    Article  Google Scholar 

  24. dit Eynaud, A., Klement, N., Roucoules, L., Gibaru, O., Durville, L.: UML based reconfiguration rate analysis of assembly line depending on robot integration. IFAC-PapersOnLine 51(11), 1168–1173 (2018)

    Google Scholar 

  25. Bortolini, M., Ferrari, E., Galizia, F.G., Mora, C., Pilati, F.: Optimal redesign of cellular flexible and reconfigurable manufacturing systems. Procedia CIRP 81, 1435–1440 (2019)

    Article  Google Scholar 

  26. Doh, H.H., Yu, J.M., Kim, J.S., Lee, D.H., Nam, S.H.: A priority scheduling approach for flexible job shops with multiple process plans. Int. J. Prod. Res. 51(12), 3748–3764 (2013)

    Article  Google Scholar 

  27. Besbes, M., Zolghadri, M., Costa Affonso, R., Masmoudi, F., Haddar, M.: A methodology for solving facility layout problem considering barriers: genetic algorithm coupled with A* search. J. Intell. Manuf. 31(3), 615–640 (2020)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Université de Technologie de Compiègne, Roberval, CS 60319, 60203, Compiègne, France

    Isabel Barros Garcia, Joanna Daaboul & Julien Le Duigou

  2. Université de Technologie de Compiègne, Heudiasyc, UMR CNRS 7253, CS 60319, 60203, Compiègne, France

    Antoine Jouglet

Authors
  1. Isabel Barros Garcia
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  2. Joanna Daaboul
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  3. Antoine Jouglet
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  4. Julien Le Duigou
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Corresponding author

Correspondence to Isabel Barros Garcia .

Editor information

Editors and Affiliations

  1. Faculty of Automatic Control and Computer Science, University Politehnica of Bucharest, Bucharest, Romania

    Theodor Borangiu

  2. LAMIH UMR CNRS 8201, Polytechnic University Hauts de France, Valenciennes, France

    Damien Trentesaux

  3. Research Centre in Digitalization and Intelligent Robotics, Polytechnic Institute of Bragança, Bragança, Portugal

    Paulo Leitão

  4. LS2N, UMR CNRS 6004, IUT de Nantes, University of Nantes, Carquefou, France

    Olivier Cardin

  5. Arts et Métiers Institute of Technology LISPEN, HESAM Université UBFC, Cluny, France

    Laurent Joblot

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Barros Garcia, I., Daaboul, J., Jouglet, A., Le Duigou, J. (2022). An Approach to Jointly Optimize the Process Plan, Scheduling, and Layout Design in Reconfigurable Manufacturing Systems. In: Borangiu, T., Trentesaux, D., Leitão, P., Cardin, O., Joblot, L. (eds) Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future. SOHOMA 2021. Studies in Computational Intelligence, vol 1034. Springer, Cham. https://doi.org/10.1007/978-3-030-99108-1_29

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