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Intelligent Products in the Supply Chain - 10 Years on

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Service Orientation in Holonic and Multi Agent Manufacturing and Robotics

Part of the book series: Studies in Computational Intelligence ((SCI,volume 472))

Abstract

Ten years ago the intelligent product model was introduced as a means of motivating a supply chain in which product or orders were central as opposed to the organizations that stored or delivered them. This notion of a physical product influencing its own movement through the supply chain was enabled by the evolution of low cost RFID systems which promised low cost connection between physical goods and networked information environments. In 2002 the notion of product intelligence was regarded as a useful but rather esoteric construct. However, in the intervening ten years there have been a number of technological advances coupled with an increasingly challenged business environment which make the prospects for intelligent product deployment seem more likely. This paper reviews a number of these developments and assesses their impact on the intelligent product approach.

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References

  1. Wong, C., McFarlane, D., Zaharudin, A., Agarwal, V.: The intelligent product driven supply chain. In: 2002 IEEE International Conference on Systems, Man and Cybernetics, vol. 4, p. 6 (2002)

    Google Scholar 

  2. Kärkkäinen, M., Holmström, J., Främling, K., Artto, K.: Intelligent products–a step towards a more effective project delivery chain. Computers in Industry 50(2), 141–151 (2003)

    Article  Google Scholar 

  3. Sarma, S.: Towards the five-cent tag. Technical Report MIT-AUTOID-WH-006, MIT Auto-ID Center (2001)

    Google Scholar 

  4. Kiritsis, D.: Closed-loop PLM for intelligent products in the era of the Internet of things. Computer-Aided Design 43(5), 479–501 (2011)

    Article  Google Scholar 

  5. Valckenaers, P., Germain, B.S., Verstraete, P., Van Belle, J., Hadeli, Van Brussel, H.: Intelligent products; Agere versus Vesere. Comp’s in Industry 60(3), 217–228 (2009)

    Article  Google Scholar 

  6. Ventä, O.: Intelligent products and systems: Technology theme-final report. VTT Technical Research of Finland, Findland (2007)

    Google Scholar 

  7. McFarlane, D., Sarma, S., Chirn, J.L., Wong, C.Y., Ashton, K.: Auto ID systems and intelligent manufacturing control. Engineering Applications of Artificial Intelligence 16(4), 365–376 (2003)

    Article  Google Scholar 

  8. Meyer, G.G., Främling, K., Holmström, J.: Intelligent Products: A Survey. Computers in Industry 60(3), 137–148 (2009)

    Article  Google Scholar 

  9. McFarlane, D.: Auto ID based control systems - an overview. In: 2002 IEEE International Conference on Systems, Man and Cybernetics, vol. 3 (2002)

    Google Scholar 

  10. Kärkkäinen, M., Ala-Risku, T., Främling, K.: The product centric approach: a solution to supply network information management problems? Computers in Industry 52(2), 147–159 (2003)

    Article  Google Scholar 

  11. Sarma, S., Brock, D., Ashton, K.: The networked physical world. Technical report, MIT Auto-ID Center (2000)

    Google Scholar 

  12. Främling, K., Holmström, J., Ala-Risku, T., Kärkkäinen, M.: Product agents for handling information about physical objects. Technical report, Helsinki University of Technology (2003)

    Google Scholar 

  13. Främling, K., Harrison, M., Brusey, J., Petrow, J.: Requirements on unique identifiers for managing product lifecycle information: comparison of alternative approaches. International Journal of Computer Integrated Manufacturing 20(7), 715–726 (2007)

    Article  Google Scholar 

  14. López, T., Ranasinghe, D., Patkai, B., McFarlane, D.: Taxonomy, technology and applications of smart objects. Information Systems Frontiers 13(2), 1–20 (2009)

    Google Scholar 

  15. BaÏna, S., Panetto, H., Morel, G.: New paradigms for a product oriented modelling: Case study for traceability. Computers in Industry 60(3), 172–183 (2009)

    Article  Google Scholar 

  16. Brintrup, A., McFarlane, D., Ranasinghe, D., López, T.S., Owens, K.: Will intelligent assets take off? Toward self-serving aircraft. IEEE Intelligent Systems 26(3), 66–75 (2011)

    Article  Google Scholar 

  17. Holmström, J., Kajosaari, R., Främling, K., Langius, E.: Roadmap to tracking based business and intelligent products. Comp’s in Industry 60(3), 229–233 (2009)

    Article  Google Scholar 

  18. Meyer, G.G.: Effective monitoring and control with intelligent products, PhD thesis, University of Groningen (2011)

    Google Scholar 

  19. Meyer, G.G., Wortmann, J., Szirbik, N.B.: Production monitoring and control with intelligent products. International Journal of Production Research 49(5), 1303–1317 (2011)

    Article  Google Scholar 

  20. Pannequin, R., Morel, G., Thomas, A.: The performance of product-driven manufacturing control: An emulation-based benchmarking study. Computers in Industry 60(3), 195–203 (2009)

    Article  Google Scholar 

  21. Sallez, Y., Berger, T., Trentesaux, D.: A stigmergic approach for dynamic routing of active products in FMS. Comp’s in Industry 60(3), 204–216 (2009)

    Article  Google Scholar 

  22. Morales-Kluge, E., Ganji, F., Scholz-Reiter, B.: Intelligent Products - Towards Autonomous Logistics Processes - A work in progress paper. In: International Conference on Product Lifecycle Management (2011)

    Google Scholar 

  23. McFarlane, D., Giannikas, V., Wong, A.C.Y., Harrison, M.: Product Intelligence: Theory and Practice (under preparation, 2012)

    Google Scholar 

  24. Jennings, N.R., Bussmann, S.: Agent-based control systems. IEEE Control Systems 23(3), 61–74 (2003)

    Article  Google Scholar 

  25. Leitão, P.: Agent-based distributed manufacturing control: A state-of-the-art survey. Engineering Applications of Artificial Intelligence 22(7), 979–991 (2009)

    Article  Google Scholar 

  26. Van Brussel, H., Wyns, J., Valckenaers, P., Bongaerts, L., Peeters, P.: Reference architecture for holonic manufacturing systems: PROSA. Computers in Industry 37(3), 255–274 (1998)

    Article  Google Scholar 

  27. McFarlane, D., Bussmann, S.: Developments in holonic production planning and control. Production Planning & Control: The Management of Operations 11(6), 522–536 (2000)

    Article  Google Scholar 

  28. Jarvis, D., Jarvis, J., McFarlane, D., Lucas, A., Ronnquist, R.: Implementing a multiagent systems approach to collaborative autonomous manufacturing operations. In: IEEE Proceedings on Aerospace Conference, vol. 6, pp. 2803–2811 (2001)

    Google Scholar 

  29. Chirn, J.-L., McFarlane, D.: A holonic component-based approach to reconfigurable manufacturing control architecture. In: 11th International Workshop on Database and Expert Systems Applications, pp. 219–223 (2000)

    Google Scholar 

  30. Hülsmann, M., Windt, K.: Understanding Autonomous Cooperation and Control in Logistics: The Impact of Autonomy on Management, Information, Communication and Material Flow. Springer (2007)

    Google Scholar 

  31. Fleish, E.: What is the Internet of Things? Auto-ID Labs White Paper WP-BIZAPP-05, Univ. of St. Gallen (2010)

    Google Scholar 

  32. Främling, K., Nyman, J.: Information architecture for intelligent products in the Internet of Things. In: Autere, V., Bask, A., et al. (eds.) Beyond Business Logistics; Proceedings of 20th NOFOMA Logistic Conference, Helsinki, pp. 221–232 (2008)

    Google Scholar 

  33. McFarlane, D.C.: Distributed Intelligence in Manufacturing & Service Environments. In: 1st International SOHOMA Workshop, Paris (2011)

    Google Scholar 

  34. Uckelmann, D., Isenberg, M.A., Teucke, M., Halfar, H., Scholz-Reiter, B.: Autonomous control and the internet of things: Increasing robustness, scalability and agility in logistic networks. In: Ranasinghe, D., et al. (eds.) Unique Radio Innovation for the 21st Century, pp. 163–181. Springer, Heidelberg (2010)

    Google Scholar 

  35. Apte, U.M., Viswanathan, S.: Effective cross docking for improving distribution efficiencies. International Journal of Logistics Research and Applications 3(3), 291–302 (2000)

    Article  Google Scholar 

  36. Konings, R., Priemus, H., Nijkamp, P.: The future of intermodal freight transport: operations, design and policy. Edward Elgar Publishing, Cheltenham (2008)

    Google Scholar 

  37. Srivastava, S.K.: Green supply-chain management: A state-of-the-art literature review. International Journal of Management Reviews 9(1), 53–80 (2007)

    Article  Google Scholar 

  38. Sheffi, Y.: The Resilient Enterprise: Overcoming Vulnerability for Competitive Advantage. The MIT Press, Cambridge (2007)

    Google Scholar 

  39. Bektas, T., Crainic, T.G.: A brief overview of intermodal transportation. CIRRELT Report, CIRRELT-2007-03 (2007), https://www.cirrelt.ca/DocumentsTravail/CIRRELT-2007-03.pdf (currently September 2012)

  40. Harrop, P.: The Global Market for RFID. ID Tech. Ex. Ltd. (2010)

    Google Scholar 

  41. EPCglobal: The EPCglobal Architecture Framework (2005), http://www.gs1.org/gsmp/kc/epcglobal/architecture/architecture_1_2-framework-20070910.pdf (retrieved November 4, 2011)

  42. Atzori, L., Iera, A., Morabito, G.: The Internet of Things: A survey. Computer Networks 54(15), 2787–2805 (2010)

    Article  MATH  Google Scholar 

  43. Giannikas, V., McFarlane, D.: Product intelligence in intermodal transportation: the dynamic routing problem. In: 3rd International Conference on Dynamics in Logistics, Bremen, Germany (2012)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Institute for Manufacturing, University of Cambridge, 17 Charles Babbage Road, Cambridge, CB3 0FS, UK

    Duncan McFarlane, Vaggelis Giannikas & Mark Harrison

  2. RedBite Solutions Ltd, St John’s Innovation Centre, Cowley Road, Cambridge, CB4 0WS, UK

    Alex C. Y. Wong

Authors
  1. Duncan McFarlane
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  2. Vaggelis Giannikas
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  3. Alex C. Y. Wong
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  4. Mark Harrison
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Corresponding author

Correspondence to Duncan McFarlane .

Editor information

Editors and Affiliations

  1. , Faculty of Automatic Control and, University Politehnica of Bucharest, 313, Spl. Independentei, sector 6, Bucharest, 060042, Romania

    Theodor Borangiu

  2. Technologies et Industries du Bois, Centre de Recherche en Automatique, ENSTIB - Ecole Nationale Superieure des, rue Philippe Seguin 27, Epinal cedex 9, 88051, France

    Andre Thomas

  3. , PSI/TEMPO Lab, Universite de Valenciennes, Le Mont Houy, Valenciennes cedex 9, 59313, France

    Damien Trentesaux

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McFarlane, D., Giannikas, V., Wong, A.C.Y., Harrison, M. (2013). Intelligent Products in the Supply Chain - 10 Years on. In: Borangiu, T., Thomas, A., Trentesaux, D. (eds) Service Orientation in Holonic and Multi Agent Manufacturing and Robotics. Studies in Computational Intelligence, vol 472. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35852-4_7

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  • DOI: https://doi.org/10.1007/978-3-642-35852-4_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35851-7

  • Online ISBN: 978-3-642-35852-4

  • eBook Packages: EngineeringEngineering (R0)

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