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Emerging Key Requirements for Future Energy-Aware Production Scheduling Systems: A Multi-agent and Holonic Perspective

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Service Orientation in Holonic and Multi-Agent Manufacturing (SOHOMA 2016)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 694))

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Abstract

The aim of this paper is to study a set of emerging key-enabling requirements for the design of multi-agent or holonic manufacturing systems dealing with the energy aware scheduling of future production systems. These requirements are organized according to three different views, namely informational, organizational and lifecycle views. It is shown that these emerging key-enabling requirements are not sufficiently addressed by the research literature. An illustrative futuristic example of a system complying with these requirements is provided. From this example, new research opportunities and issues can be easily found.

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References

  1. Tonelli, F., Bruzzone, A.A.G., Paolucci, M., Carpanzano, E., Nicolò, G., Giret, A., Salido, M.A., Trentesaux, D.: Assessment of mathematical programming and agent-based modelling for off-line scheduling: application to energy aware manufacturing. CIRP Ann. Manuf. Technol. 65, 405–408 (2016)

    Article  Google Scholar 

  2. Trentesaux, D., Borangiu, T., Thomas, A.: Emerging ICT concepts for smart, safe and sustainable industrial systems. Comput. Ind. 81, 1–10 (2016)

    Article  Google Scholar 

  3. May, G., Barletta, I., Stahl, B., Taisch, M.: Energy management in production: a novel method to develop key performance indicators for improving energy efficiency. Appl. Energy 149, 46–61 (2015)

    Article  Google Scholar 

  4. Bunse, K., Vodicka, M., Schönsleben, P., Brülhart, M., Ernst, F.O.: Integrating energy efficiency performance in production management—gap analysis between industrial needs and scientific literature. J. Clean. Prod. 19, 667–679 (2011)

    Article  Google Scholar 

  5. Gahm, C., Denz, F., Dirr, M., Tuma, A.: Energy-efficient scheduling in manufacturing companies: a review and research framework. Eur. J. Oper. Res. 248, 744–757 (2016)

    Article  MathSciNet  MATH  Google Scholar 

  6. Karnouskos, S., Colombo, A.W., Lastra, J.L.M., Popescu, C.: Towards the energy efficient future factory. In: 7th IEEE International Conference on Industrial Informatics June 23 INDIN 2009 (2009)

    Google Scholar 

  7. Prabhu, V.V., Trentesaux, D., Taisch, M.: Energy-aware manufacturing operations. Int. J. Prod. Res. 53, 6994–7004 (2015)

    Article  Google Scholar 

  8. Verstraete, P., Saint Germain, B., Valckenaers, P., Van Brussel, H., Belle, J., Hadeli, H.: Engineering manufacturing control systems using PROSA and delegate MAS. Int. J. Agent-Oriented Softw. Eng. 2:62–89 (2008)

    Google Scholar 

  9. Kuhn, D., Ellis, K., Fouchal, F.: ICT enabled energy efficiency in manufacturing. In: Seliger, G. (ed.) Sustainable Manufacturing, pp. 157–162. Springer, Berlin Heidelberg (2012)

    Chapter  Google Scholar 

  10. Trentesaux, D., Giret, A.: Go-green manufacturing holons: a step towards sustainable manufacturing operations control. Manuf. Lett. 5, 29–33 (2015)

    Article  Google Scholar 

  11. Främling, K., Holmström, J., Loukkola, J., Nyman, J., Kaustell, A.: Sustainable PLM through intelligent products. Eng. Appl. Artif. Intell. 26, 789–799 (2013)

    Article  Google Scholar 

  12. Delgado-Gomes, V., Oliveira-Lima, J.A., Martins, J.F.: Energy consumption awareness in manufacturing and production systems. Int. J. Comput. Integr. Manuf. 30, 84–95 (2017)

    Google Scholar 

  13. Lee, S., Prabhu, V.V.: Energy-aware feedback control for production scheduling and capacity control. Int. J. Prod. Res. 53, 7158–7170 (2015)

    Article  Google Scholar 

  14. Wilson, J., Arokiam, A., Belaidi, H., Ladbrook, J.: A simple energy usage toolkit from manufacturing simulation data. J. Clean. Prod. 122, 266–276 (2016)

    Article  Google Scholar 

  15. Raileanu, S., Anton, F., Iatan, A., Borangiu, T., Anton, S., Morariu, O.: Resource scheduling based on energy consumption for sustainable manufacturing. J. Intell. Manuf. 1–12 (2015)

    Google Scholar 

  16. Taticchi, P., Garengo, P., Nudurupati, S.S., Tonelli, F., Pasqualino, R.: A review of decision-support tools and performance measurement and sustainable supply chain management. Int. J. Prod. Res. 53, 6473–6494 (2015)

    Article  Google Scholar 

  17. Aoki, K., Staeblein, T., Tomino, T.: Monozukuri capability to address product variety: a comparison between Japanese and German automotive makers. Int. J. Prod. Econ. Part B 147:373–384 (2014)

    Google Scholar 

  18. Paolucci, M., Anghinolfi, D., Tonelli, F.: Facing energy-aware scheduling: a multi-objective extension of a scheduling support system for improving energy efficiency in a moulding industry. Soft Comput. 1–12 (2015)

    Google Scholar 

  19. Bruzzone, A.A.G., Anghinolfi, D., Paolucci, M., Tonelli, F.: Energy-aware scheduling for improving manufacturing process sustainability: a mathematical model for flexible flow shops. CIRP Ann. Manuf. Technol. 61, 459–462 (2012)

    Article  Google Scholar 

  20. Leitão, P., Barbosa, J., Trentesaux, D.: Bio-inspired multi-agent systems for reconfigurable manufacturing systems. Eng. Appl. Artif. Intell. 25, 934–944 (2012)

    Article  Google Scholar 

  21. Giret, A., Trentesaux, D., Prabhu, V.: Sustainability in manufacturing operations scheduling: a state of the art review. J. Manuf. Syst. Part 1 37, 126–140 (2015)

    Article  Google Scholar 

  22. ISO 14040:2006—Environmental management—Life cycle assessment—Principles and framework. http://www.iso.org/iso/catalogue_detail?csnumber=37456

  23. ISO 14044:2006—Environmental management-Life cycle assessment—Requirements and guidelines. http://www.iso.org/iso/catalogue_detail?csnumber=38498

  24. Rzevski, G., Skobelev, P.: Managing Complexity. WIT Press (2014)

    Google Scholar 

  25. Leitão, P., Barbosa, J., Vrba, P., Skobelev, P., Tsarev, A., Kazanskaia, D.: Multi-agent system approach for the strategic planning in ramp-up production of small lots. In: 2013 IEEE SMC Conference, pp. 4743–4748 (2013)

    Google Scholar 

  26. Tsarev, A., Skobelev, P.: Multi-agent Supply Scheduling System Prototype for Energy Production and Distribution. Advances in Practical Applications of Scalable Multi-agent Systems, The PAAMS Collection, pp. 290–293. Springer International Publishing (2016)

    Google Scholar 

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Acknowledgements

This research was partially supported by research grant TIN2015-65515-C4-1-R of the Spanish government. This paper was also prepared with the financial support of the Ministry of Education and Science of the Russian Federation - contract № 14.579.21.0084, project unique ID is RFMEFI57914X0084.

Author information

Authors and Affiliations

  1. LAMIH, UMR CNRS 8201, University of Valenciennes and Hainaut-Cambrésis, UVHC, Le Mont Houy, 59313, Valenciennes Cedex, France

    Damien Trentesaux

  2. Dpto. Sistemas Informáticos y Computación, Universidad Politécnica de Valencia, Valencia, Spain

    Adriana Giret

  3. Department of Mechanical Engineering, Energetics, Management and Transportation (DIME), University of Genoa, Via all’Opera Pia 15, 16145, Genoa, Italy

    Flavio Tonelli

  4. Smart Solutions Ltd. and Samara University, Samara, Russia

    Petr Skobelev

Authors
  1. Damien Trentesaux
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  2. Adriana Giret
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  3. Flavio Tonelli
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  4. Petr Skobelev
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Corresponding author

Correspondence to Damien Trentesaux .

Editor information

Editors and Affiliations

  1. Fac of Automatic Control, Sector 6, University Politehnica of Bucharest Fac of Automatic Control, Sector 6, Bucharest, Romania

    Theodor Borangiu

  2. LAMIH, UVHC LAMIH, Valenciennes, France

    Damien Trentesaux

  3. University of Lorraine , Epinal, France

    André Thomas

  4. Campus StaApolónia, Polytechnic Institute of Bragança Campus StaApolónia, Bragança, Portugal

    Paulo Leitão

  5. Quinta da Torre, Universidade Nova de Lisboa - DEE Quinta da Torre, Caparica, Portugal

    José Barata Oliveira

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Trentesaux, D., Giret, A., Tonelli, F., Skobelev, P. (2017). Emerging Key Requirements for Future Energy-Aware Production Scheduling Systems: A Multi-agent and Holonic Perspective. In: Borangiu, T., Trentesaux, D., Thomas, A., Leitão, P., Oliveira, J. (eds) Service Orientation in Holonic and Multi-Agent Manufacturing . SOHOMA 2016. Studies in Computational Intelligence, vol 694. Springer, Cham. https://doi.org/10.1007/978-3-319-51100-9_12

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  • DOI: https://doi.org/10.1007/978-3-319-51100-9_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-51099-6

  • Online ISBN: 978-3-319-51100-9

  • eBook Packages: EngineeringEngineering (R0)

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