Skip to main content
Log in

Disrupted capacitated vehicle routing problem with order release delay

  • Published:
Annals of Operations Research Aims and scope Submit manuscript

Abstract

With the popularity of the just-in-time system, more and more companies are operating with little or no inventories, which make them highly vulnerable to delays on supply. This paper discusses a situation when the supply of the commodity does not arrive at the depot on time, so that not enough of the commodity is available to be loaded on all vehicles at the start of the delivery period. New routing plans need to be developed in such a case to reduce the impact the delay of supply may have on the distribution company. The resulting vehicle routing problem is different from other types of vehicle routing problems as it involves waiting and multiple trips. Two approaches have been developed to solve the order release delay problem, both of which involve a Tabu Search algorithm. Computational results show the proposed approaches can largely reduce the disruption costs that are caused by the delayed supply and they are especially effective when the length of delay is long.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Augerat, P., Belenguer, J. M., Benavent, E., Corberan, A., Naddef, D., & Rinaldi, G. (1995). Computational results with a branch and cut code for the capacitated vehicle routing problem (Technical Report RR 949-M). Universite Joseph Fourier, Grenoble, France.

  • Christofides, N., & Eilon, S. (1969). An algorithm for the vehicle dispatching problem. Operational Research Quarterly, 20, 309–318.

    Article  Google Scholar 

  • Christofides, N., Mingozzi, A., & Toth, P. (1979). The vehicle routing problem. In Christofides, N., Mingozzi, N., Toth, A., Sandi, P.C. (Eds.) Combinatorial Optimization (pp. 315–338). Chichester: Wiley.

    Google Scholar 

  • Clausen, J., Hansen, J., Larsen, J., & Larsen, A. (2001). Disruption management. OR/MS Today, 28(5), 40–43.

    Google Scholar 

  • Clausen, J., Larsen, A., Larsen, J., & Rezanova, N. J. (2010). Disruption management in the airline industry—concepts, models and methods. Computers & Operations Research, 37, 809–821.

    Article  Google Scholar 

  • Fisher, M. L. (1994). Optimal solution of vehicle routing problems using minimum k-trees. Operations Research, 42, 626–642.

    Article  Google Scholar 

  • Gabteni, S., & Grönkvist, M. (2008). Combining column generation and constraint programming to solve the tail assignment problem. Annals of Operations Research, 171(1), 61–76.

    Article  Google Scholar 

  • Kuster, J., Jannach, D., & Friedrich, G. (2010). Applying local rescheduling in response to schedule disruptions. Annals of Operations Research, 180(1), 265–282.

    Article  Google Scholar 

  • Li, J. Q., Mirchandani, P. B., & Borenstein, D. (2009). Real-time vehicle rerouting problems with time windows. European Journal of Operational Research, 194, 711–727.

    Article  Google Scholar 

  • Mu, Q. (2010). Disruption management in vehicle routing and scheduling. PhD thesis, Lancaster University.

  • Mu, Q., Fu, Z., Lysgaard, J., & Eglese, R. (2010). Disruption management of the vehicle routing problem with vehicle breakdown. The Journal of the Operational Research Society, 62, 742–749.

    Google Scholar 

  • Yu, G., & Qi, X. (2004). Disruption management: framework, models and applications. Singapore: World Scientific.

    Book  Google Scholar 

  • Zhang, X., & Tang, L. (2007). Disruption management for the vehicle routing problem with time windows. In Huang, D.S., Heutte, L. & Loog, M. (Eds.), Communications in Computer and Information Science: Vol. 2(5). Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques (pp. 225–234). Berlin: Springer.

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Richard W. Eglese.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Mu, Q., Eglese, R.W. Disrupted capacitated vehicle routing problem with order release delay. Ann Oper Res 207, 201–216 (2013). https://doi.org/10.1007/s10479-011-0947-7

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10479-011-0947-7

Keywords

Navigation