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Investigating the impact of demand amplification on freight transport

Author

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  • Potter, Andrew
  • Lalwani, Chandra

Abstract

Despite freight transport operations being influenced by supply chain dynamics, there has been only a very limited investigation into the impact of demand amplification on this function, with almost no analytical research. This paper aims, through spreadsheet simulation of a generic production control system, to quantify the impact of demand amplification on transport performance. Performance measures evaluated include both transport cost and efficiency. The results in general find a negative relationship between transport performance and demand amplification. It is also found that the ratio of vehicle capacity to average demand affects these results.

Suggested Citation

  • Potter, Andrew & Lalwani, Chandra, 2008. "Investigating the impact of demand amplification on freight transport," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(5), pages 835-846, September.
  • Handle: RePEc:eee:transe:v:44:y:2008:i:5:p:835-846
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    Citations

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    Cited by:

    1. Chatfield, Dean C. & Pritchard, Alan M., 2013. "Returns and the bullwhip effect," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 49(1), pages 159-175.
    2. Ubogu, A.E. & Ariyo, J.A. & Mamman, M., 2011. "Port-hinterland trucking constraints in Nigeria," Journal of Transport Geography, Elsevier, vol. 19(1), pages 106-114.
    3. Lin, J. & Naim, M.M. & Purvis, L. & Gosling, J., 2017. "The extension and exploitation of the inventory and order based production control system archetype from 1982 to 2015," International Journal of Production Economics, Elsevier, vol. 194(C), pages 135-152.
    4. V.L.M. Spiegler & A.T. Potter & M.M. Naim & D.R. Towill, 2016. "The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 54(1), pages 265-286, January.
    5. Furkan Oztanriseven & Heather Nachtmann, 2020. "Modeling dynamic behavior of navigable inland waterways," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 22(2), pages 173-195, June.
    6. Spiegler, Virginia L.M. & Naim, Mohamed M., 2017. "Investigating sustained oscillations in nonlinear production and inventory control models," European Journal of Operational Research, Elsevier, vol. 261(2), pages 572-583.
    7. Huang, Shupeng & Potter, Andrew & Eyers, Daniel & Li, Qinyun, 2021. "The influence of online review adoption on the profitability of capacitated supply chains," Omega, Elsevier, vol. 105(C).
    8. Qu, Xiaobo & Meng, Qiang, 2012. "The economic importance of the Straits of Malacca and Singapore: An extreme-scenario analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(1), pages 258-265.

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