Improving Returnable Transport Equipment Management with an Autonomous Approach

Conference paper
Part of the Lecture Notes in Logistics book series (LNLO)

Abstract

Challenges of returnable transport equipment (RTE) management continue to heighten as the popularity of their usage magnifies. Logistics companies are investigating the implementation of radio-frequency identification (RFID) technology to alleviate problems such as loss prevention and stock reduction. However, the research within this field is limited and fails to fully explore with depth, the wider network improvements that can be made to optimize the supply chain through efficient RTE management. This paper, investigates the nature of RTE network management building on current research and practices, filling a gap in the literature, through the investigation of a product-centric approach where the paradigms of “intelligent products” and “autonomous objects” are explored. A network optimizing approach with RTE management is explored, encouraging advanced research development of the RTE paradigm to align academic research with problematic areas in industry. Further research continues with the development of an agent-based software system, ready for application to a real-case study distribution network, producing quantitative results for further analysis. This is pivotal on the endeavor to developing agile support systems, fully utilizing an information-centric environment and encouraging RTE to be viewed as critical network optimizing tools rather than costly waste.

Keywords

Intelligence Product-centric Radio-frequency identification Returnable transport equipment Autonomous 

References

  1. Bacheldor B (2006a) CHEP RFID-enables reusable containers for auto industry [Online]. RFID J Available: http://www.rfidjournal.com/article/view/2859 Accessed 06/04/2011 2011
  2. Bacheldor B (2006b) Reusable pallet and container coalition studies RFID [Online]. RFID J Available: http://www.rfidjournal.com/article/view/2434 Accessed 09/08/2011 2011
  3. Baïna S, Panetto H, Morel G (2009) New paradigms for a product oriented modelling: case study for traceability. Comput Ind 60:172–183CrossRefGoogle Scholar
  4. Bardaki C, Kourouthanassis P, Pramatari K (2011) Modeling the information completeness of object tracking systems. J Strategic Inf Syst (in press, corrected proof)Google Scholar
  5. Bottani E, Bertolini M (2009) Technical and economic aspect of RFID implementation for asset tracking. Int J RF Technol Res Appl 1:169–193Google Scholar
  6. Centralen C (2011) CC at a glance [Online]. Available: http://www.container-centralen.com/en/about%20cc/cc%20at%20a%20glance.aspx Accessed 02/09/2011 2011
  7. Collins J (2005) Europe finds its own path to ROI [Online]. RFID J Available: http://www.rfidjournal.com/article/purchase/1933 Accessed 06/04/2011 2011
  8. Collins J (2006) Tesco revises RFID plans [Online]. RFID J Available: http://www.rfidjournal.com/article/articleview/2243/1/1/ 19/02/2010
  9. Davidsson P, Henesey L, Ramstedt L, Törnquist J, Wernstedt F (2005) An analysis of agent-based approaches to transport logistics. Transp Res Part C Emerg Technol 13:255–271CrossRefGoogle Scholar
  10. Dias JCQ, Calado JMF, Osorio AL, Morgado LF (2009) RFID together with multi-agent systems to control global value chains. Annu Rev Control 33:185–195CrossRefGoogle Scholar
  11. France G, Partners W (2007) Returnable transport items: requirements to improve reusable asset management. In: IST-2005-033546 ECCN (ed) Building radio frequency identification for the global environment, BRIDGE WP09. Available at http://www.bridge-project.eu/index.php/bridge-public-deliverables/en/
  12. Hellstrom D (2009) The cost and process of implementing RFID technology to manage and control returnable transport items. Int J Logistics Res Appl Leading J Supply Chain Manage 12:1–21Google Scholar
  13. Holmström J, Kajosaari R, Främling K, Langius E (2009) Roadmap to tracking based business and intelligent products. Comput Ind 60:229–233CrossRefGoogle Scholar
  14. Hülsmann M, Grapp J, Li Y (2008) Strategic adaptivity in global supply chains—competitive advantage by autonomous cooperation. Int J Prod Econ 114:14–26CrossRefGoogle Scholar
  15. Ilic A, Ng JWP, Bowman P, Staake T (2009) The value of RFID for RTI management. Electron Markets 19:125–135CrossRefGoogle Scholar
  16. Johansson O, Hellström D (2007) The effect of asset visibility on managing returnable transport items. Int J Phys Distrib Logistics Manage 37:799CrossRefGoogle Scholar
  17. Kärkkäinen M, Holmström J, Främling K, Artto K (2003) Intelligent products–a step towards a more effective project delivery chain. Comput Ind 50:141–151CrossRefGoogle Scholar
  18. Kim J, Tang K, Kumara S, Yee S-T, Tew J (2008) Value analysis of location-enabled radio-frequency identification information on delivery chain performance. Int J Prod Econ 112:403–415CrossRefGoogle Scholar
  19. Kiritsis D (2011) Closed-loop PLM for intelligent products in the era of the internet of things. Comput Aided Des 43:479–501CrossRefGoogle Scholar
  20. Klein T, Thomas A (2009) Opportunities to reconsider decision making processes due to auto-ID. Int J Prod Econ 121:99–111CrossRefGoogle Scholar
  21. Lee H, Whang S (1999) Decentralized multi-echelon supply chains: incentives and information. Manage Sci 45:633–640MATHCrossRefGoogle Scholar
  22. Logicacmg (2004) Making waves: Rfid adoption in returnable packaging. LogicaCMG Nederland BV, The Netherlands. Available at http://www.can-trace.org/portals/0/docs/logicacmg_rfid_benchmark_study.pdf
  23. Lou P, Zhou Z-D, Chen Y-P, Ai W (2004) Study on multi-agent-based agile supply chain management. Int J Adv Manuf Technol 23:197–203CrossRefGoogle Scholar
  24. Lu SYP, Lau HYK, Yiu CKF (2012) A hybrid solution to collaborative decision-making in a decentralized supply-chain. J Eng Tech Manage 29:95–111CrossRefGoogle Scholar
  25. Meyer GG, Främling K, Holmström J (2009) Intelligent products: a survey. Comput Ind 60:137–148CrossRefGoogle Scholar
  26. Panait L, Luke S (2005) Cooperative multi-agent learning: the state of the art. Auton Agent Multi Agent Syst 11:387–434CrossRefGoogle Scholar
  27. Prendergast GP (1995) The EC directive on packaging and packaging waste: current status and logistical implications. Logistics Inf Manage 8:10–17CrossRefGoogle Scholar
  28. Rönkkö M, Kärkkäinen M, Holmström J (2007) Benefits of an item-centric enterprise-data model in logistics services: a case study. Comput Ind 58:814–822CrossRefGoogle Scholar
  29. Rosenau WV, Twede D, Mazzeo MA, Singh SP (1996) Returnable/reusable logistical packaging: a capital budgeting investment decision framework. J Bus Logistics 17:139–165Google Scholar
  30. Swedberg C (2009) PLS uses RFID to track pallets, containers [Online]. RFID J Available: http://www.rfidjournal.com/article/view/5043 Accessed 06/04/2011 2011
  31. Swedberg C (2010) Axios MA launches tagged pallets and real-time tracking solution [Online]. RFID J Available: http://www.rfidjournal.com/article/view/8014 Accessed 06/04/2011 2011
  32. Swedberg C (2011a) Monroe Americana tracks reusable containers [Online]. RFID J Available: http://www.rfidjournal.com/article/view/8316/ Accessed 06/04/2011 2011
  33. Swedberg C (2011b) TrakLok offers hybrid system for tracking containers [Online]. RFID J Available: http://www.rfidjournal.com/article/view/8504 Accessed 26/08/2011
  34. Valckenaers P, Germain BS, Verstraete P, van Belle J, Hadeli  K, van Brussel H (2009) Intelligent products: agere versus essere. Comput Ind 60:217–228Google Scholar
  35. Wasserman E (2010) Automakers seek fast ROI from RFID [Online]. RFID J Available: http://www.rfidjournal.com/article/purchase/7460 Accessed 06/04/2011 2011
  36. Wessel R (2008) Metro group, DHL to roll out RFID in France [Online]. RFID J Available: http://www.rfidjournal.com/article/view/4277/ Accessed 7/04/2011 2011
  37. Wessel R (2011) Container Centralen says RFID provides ‘substantial’ cost savings [Online]. RFID J Available: http://www.rfidjournal.com/article/view/8885/1 Accessed 21/10/2011
  38. Windt K, Böse F, Philipp T (2008) Autonomy in production logistics: identification, characterisation and application. Rob Comput Integr Manuf 24:572–578CrossRefGoogle Scholar
  39. Yang X, Moore P, Chong SK (2009) Intelligent products: from lifecycle data acquisition to enabling product-related services. Comput Ind 60:184–194CrossRefGoogle Scholar
  40. Ying W, Dayong S (2005) Multi-agent framework for third party logistics in E-commerce. Expert Syst Appl 29:431–436CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Engineering Systems and ManagementAston UniversityBirminghamUK

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