Skip to main content

Demand Uncertainty for the Location-Routing Problem with Two-dimensional Loading Constraints

  • Conference paper
Computational Management Science

Abstract

In this work, we investigate the location-routing problem with two-dimensional loading constraints under uncertainty on customer’s demand. Uncertainty on the demand is modeled by a scenario approach in order to get a solution satisfying all the scenarios. An integer programming model concerning decisions on strategic (depot locations), tactical (what customers are served by each depot) and operational levels (routes from depots to customers including the two-dimensional arrangement of items) is proposed. A cut is inserted whenever an infeasible packing is found and the model is applied to solve one real case based example considering three different scenarios.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Baldacci, R., Mingozzi, A., Calvo, R.W.: An exact method for the capacitated location-routing problem. Oper. Res. 59(5), 1284–1296 (2011)

    Article  Google Scholar 

  2. Belenguer, J.M., Benavent, E., Prins, C., Prodhon, C., Calvo, R.W.: A branch-and-cut method for the capacitated location-routing problem. Comput. Oper. Res. 38, 931–941 (2011)

    Article  Google Scholar 

  3. Cardoso, S., Barbosa-Póvoa, A.P., Relvas, S.: Design and planning of supply chains with integration of reverse logistics under demand uncertainty. Eur. J. Oper. Res. 226, 436–451 (2013)

    Article  Google Scholar 

  4. Clautiaux, F., Jouglet, A., Carlier, J., Moukrim, A.: A new constraint programming approach for the orthogonal packing problem. Comput. Oper. Res. 35, 944–959 (2008)

    Article  Google Scholar 

  5. Fekete, S.P., Schepers, J., van der Veen, J.: An exact algorithm for higher-dimensional orthogonal packing. Oper. Res. 55(3), 569–587 (2007)

    Article  Google Scholar 

  6. Iori, M., Salazar-Gonzalez, J.J., Vigo, D.: An exact approach for the vehicle routing problem with two-dimensional loading constraints. Transp. Sci. 41, 253–264 (2007)

    Article  Google Scholar 

  7. King, G.F., Mast, C.F.: Excess travel: causes extent and consequences. Transp. Sci. Rec. 1111, 126–134 (1997)

    Google Scholar 

  8. Lysgaard, J., Letchford, A.N., Eglese, R.W.: A new branch-and-cut algorithm for the capacitated vehicle routing problem. Math. Program. Ser. A, B 100(2), 423–445 (2004)

    Article  Google Scholar 

  9. Queiroz, T.A., Miyazawa, F.K.: Two-dimensional strip packing problem with load balancing, load bearing and multi-drop constraints. Int. J. Prod. Econ. 145, 511–530 (2013)

    Article  Google Scholar 

Download references

Acknowledgements

This research was partially financed by CNPq, FAPESP and FAPEG.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Thiago Alves de Queiroz .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

de Queiroz, T.A., Oliveira, J.F., Carravilla, M.A., Miyazawa, F.K. (2016). Demand Uncertainty for the Location-Routing Problem with Two-dimensional Loading Constraints. In: Fonseca, R., Weber, GW., Telhada, J. (eds) Computational Management Science. Lecture Notes in Economics and Mathematical Systems, vol 682. Springer, Cham. https://doi.org/10.1007/978-3-319-20430-7_7

Download citation

Publish with us

Policies and ethics