Abstract
This paper contributes to the development of a novel paradigm in logistics, i.e. self-organising logistics system (SoLS). A SoLS can be considered as a logistics system that can function without significant intervention of human and without central control by software. It is functioning based on contextual local interactions. By such definition, SoLS could be a powerful solution to manage nowadays logistics that is much larger and complex than ever before. The goal of this paper is to provide a comprehensive and in-depth discussion to specify expected advantages and functionalities of SoLS, supported by some recent emerging concepts and technologies. The paper also attempts to provide a theoretical framework for the future work.
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References
McFarlane, D., Giannikas, V., Lu, W.: Intelligent logistics: involving the customer. Comput. Ind. (2016)
Barbosa, J., et al.: Dynamic self-organization in holonic multi-agent manufacturing systems: the ADACOR evolution. Comput. Ind. 66, 99–111 (2015)
Lee, E.A.: Cyber physical systems: design challenges. In: 2008 11th IEEE International Symposium on Object Oriented Real-Time Distributed Computing (ISORC). IEEE (2008)
Ballot, E., Montreuil, B., Meller, R.: The Physical Internet: The Network of Logistics Networks, La documentation Française (2014)
Serugendo, G.D.M., et al.: Self-organisation: Paradigms and Applications. Springer (2003)
Aliu, O.G., et al.: A survey of self organisation in future cellular networks. Commun. Surv. Tutor. IEEE 15(1), 336–361 (2013)
Serugendo, G.D.M., Irit, M.-P., Karageorgos, A.: Self-organisation and emergence in MAS: an overview. Informatica 30(1) (2006)
Bartholdi, I.J.J., Eisenstein, D.D., Lim, Y.F.: Self-organizing logistics systems. Ann. Rev. Control 34(1), 111–117 (2010)
Sallez, Y.: The augmentation concept: how to make a product “Active” during Its Life Cycle. In: Borangiu, T., Thomas, A., Trentesaux, D. (eds.) Service orientation in holonic and multi-agent manufacturing control, pp. 35–48. Springer, Berlin Heidelberg (2012)
Wycisk, C., McKelvey, B., Hülsmann, M.: “Smart parts” supply networks as complex adaptive systems: analysis and implications. Int. J. Phys. Distrib. Logist. Manag. 38(2), 108–125 (2008)
Choi, T.Y., Dooley, K.J., Rungtusanatham, M.: Supply networks and complex adaptive systems: control versus emergence. J. Oper. Manag. 19(3), 351–366 (2001)
Hülsmann, M., et al.: Autonomous cooperation–a way to cope with critical incidents in International Supply Networks (ISN)?. In: An Analysis of Complex Adaptive Logistic Systems (CALS) and their Robustness. in 24th EGOS Colloquium, Upsetting Organizations, web-publication (2008)
Bousbia, S., Trentesaux, D.: Self-organization in distributed manufacturing control: state-of-the-art and future trends. In: 2002 IEEE International Conference on Systems, Man and Cybernetics. IEEE (2002)
Narahari, Y., et al.: Game theoretic problems in network economics and mechanism design solutions. Springer, London (2009)
Mentzer, J.T., Konrad, B.P.: An efficiency/effectiveness approach to logistics performance analysis. J. Bus. Logist. 12(1), 33–62 (1991)
Bernardes, E.S., Hanna, M.D.: A theoretical review of flexibility, agility and responsiveness in the operations management literature: toward a conceptual definition of customer responsiveness. Int. J. Oper. Prod. Manag. 29(1), 30–53 (2009)
Labuschagne, C., Brent, A.C., Van Erck, R.P.: Assessing the sustainability performances of industries. J. Clean. Prod. 13(4), 373–385 (2005)
Jahre, M., Fabbe-Costes, N.: Adaptation and adaptability in logistics networks. Int. J. Logist. Res. Appl. 8(2), 143–157 (2005)
Koren, Y., et al.: Reconfigurable manufacturing systems. CIRP Ann. Manuf. Technol. 48(2), 527–540 (1999)
Sallez, Y., et al.: On the activeness of intelligent Physical Internet containers. Comput. Ind. 81, 96–104 (2016)
Botti, V., Boggino, A.G.: ANEMONA: a multi-agent methodology for Holonic Manufacturing Systems. Springer Science & Business Media (2008)
Giret, A., Botti, V.: Holons and agents. J. Intell. Manuf. 15(5), 645–659 (2004)
Atzori, L., Iera, A., Morabito, G.: The Internet of Things: a survey. Comput. Netw. 54(15), 2787–2805 (2010)
Shen, W., et al.: Applications of agent-based systems in intelligent manufacturing: an updated review. Adv. Eng. Inf. 20(4), 415–431 (2006)
Barr, M.: Embedded Systems Glossary. Neutrino Technical Library (2007). Accessed 21 April 2007
Montreuil, B.: Toward a Physical Internet: meeting the global logistics sustainability grand challenge. Logist. Res. 3(2–3), 71–87 (2011)
Kim, Y., Chen, Y.-S., Linderman, K.: Supply network disruption and resilience: a network structural perspective. J. Oper. Manag. 33–34, 43–59 (2015)
Bakule, L.: Decentralized control: an overview. Ann. Rev. Control 32(1), 87–98 (2008)
Acknowledgements
The authors like to thank the French National Research Agency (ANR) for the support to Project PI-NUTS (ANR-14-CE27-0015).
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Pan, S., Trentesaux, D., Sallez, Y. (2017). Specifying Self-organising Logistics System: Openness, Intelligence, and Decentralised Control. 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_9
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DOI: https://doi.org/10.1007/978-3-319-51100-9_9
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