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Hierarchical modelling of Last Mile logistic distribution system

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Abstract

Last Mile logistic distribution system is the final step in business-to-customer supply chain which needs careful investigation in order to efficiently and economically deliver goods to customers. This study is aimed at providing a conceptual planning approach of modelling a Last Mile system based on hierarchy which is particularly useful in routing planning of the system. The hierarchical modelling is implemented using the Petri net method which is suitable to the needs of the system being a discrete event dynamical system.

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References

  1. Beamon BM (1998) Supply chain design and analysis: models and methods. Int J Prod Econ 55:281–294

    Article  Google Scholar 

  2. Blanchard D (2007) Supply chain management: best practices. Wiley, Hoboken

    Google Scholar 

  3. Browne M, Allen J, Steele S, Cherrett T, McLeod F (2010) Analysing the results of UK urban freight studies. Procedia Soc Behav Sci 2:5956–5966

    Article  Google Scholar 

  4. Cidell J (2010) Concentration and decentralization: the new geography of freight distribution in US metropolitan areas. J Transp Geogr 18:363–371

    Article  Google Scholar 

  5. Crainic TG, Roy J (1988) OR tools for tactical freight transportation planning. Eur J Oper Res 33:290–297

    Article  Google Scholar 

  6. Egbunike O, Potter A (2010) Are freight pipelines a pipe dream? A critical review of the UK and European perspective. J Transp Geogr. doi:10.1016/j.jtrangeo.2010.05.004

    Google Scholar 

  7. Esper TL (2004) The last mile: an examination of effects of online retail delivery strategies on consumers. J Bus Logist 24(2):177–204

    Article  Google Scholar 

  8. Gevaers R, Voorde E, Vanelslander T (2009) Characteristics of innovations in last-mile logistics—using best practices, case studies and making the link with green and sustainable logistic. European transport conference, freight and logistics track

  9. Hesse M (2002) Shipping news: the implications of electronic commerce for logistics and freight transport. Resour Conserv Recycl 36:211–240

    Article  Google Scholar 

  10. Hesse M, Rodrigue J (2004) The transport geography of logistics and freight distribution. J Transp Geogr 12:171–184

    Article  Google Scholar 

  11. Jensen K (1992) Colored Petri nets: basic concepts, analysis methods and practical use, vol 1. Springer, Berlin

    Book  Google Scholar 

  12. Macharis C, Bontekoning YM (2004) Opportunities for OR in intermodal freight transport research: a review. Eur J Oper Res 153:400–416

    Article  MATH  Google Scholar 

  13. Munuzuri J, Larraneta J, Onieva L, Cortes P (2005) Solutions applicable by local administrations for urban logistics improvement. Cities 22(1):15–28

    Article  Google Scholar 

  14. Popken DA (1996) An analytical framework for routing multiattribute multicommodity freight. Transp Res B 30(2):133–145

    Article  Google Scholar 

  15. Powell WB, Bouzaiene-Ayari B, Simao H (2007) Dynamic models for freight transportation. In: Barnhart C, Laporte G (eds) Handbooks in operations research & management system, vol 14. Elsevier, Amsterdam

    Google Scholar 

  16. Powell WB, Topaloglu H (2003) Stochastic programming in transportation and logistics. In: Ruszczynski A, Shapiro A (eds) Handbooks in operations research and management science, vol 10. Elsevier, Amsterdam

    Google Scholar 

  17. Russo F, Comi A (2010) A model system for the ex-ante assessment of city logistics measures. Res Transp Econ 31:81–87. doi:10.1016/ j.retrec. 2010.11.011

    Article  Google Scholar 

  18. Russo F, Comi A (2010) A classification of city logistics measures and connected impacts. Procedia Soc Behav Sci 2:6355–6365

    Article  Google Scholar 

  19. Soehodho S, Nahry (2010) Traffic flow consideration in design of freight distribution system. IATSS Res 34:55–61

    Article  Google Scholar 

  20. Taniguchi E, Tamagawa D (2005) Evaluating city logistics measures considering the behaviour of several stakeholders. J East Asia Soc Trans Stud 6:3062–3076

    Google Scholar 

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Authors and Affiliations

  1. Department of Mechanical, Mechatronics and Manufacturing Engineering, UET, KSK Campus, Lahore, Pakistan

    Tauseef Aized

  2. Institute for Manufacturing (IFM), University of Cambridge, Cambridge, UK

    Tauseef Aized

  3. Centre for International Manufacturing, Institute for Manufacturing (IFM), University of Cambridge, Cambridge, UK

    Jagjit Singh Srai

Authors
  1. Tauseef Aized
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  2. Jagjit Singh Srai
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Correspondence to Tauseef Aized.

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Aized, T., Srai, J.S. Hierarchical modelling of Last Mile logistic distribution system. Int J Adv Manuf Technol 70, 1053–1061 (2014). https://doi.org/10.1007/s00170-013-5349-3

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  • DOI: https://doi.org/10.1007/s00170-013-5349-3

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