Skip to main content

Planning Collection Routes with Multi-compartment Vehicles

  • Chapter
  • First Online:
Operations Research and Big Data

Part of the book series: Studies in Big Data ((SBD,volume 15))

Abstract

This paper aims to assess the impact of using vehicles with multiple compartments in a recyclable waste collection system. Such systems perform single-material routes to collect three types of recyclable materials (paper, glass and plastic/metal), where vehicles with a single compartment are used. If vehicles with multi-compartments were used, two or even the three materials could be collected simultaneously without mixing them. A heuristic approach is developed to solve the multi-compartment vehicle routing problem and applied to a real waste collection system operating in Portugal.

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

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as 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
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  • Clarke, G., Wright, J.W.: Scheduling of vehicles from a central depot to a number of delivery points. Oper. Res. 12, 568–581 (1964)

    Article  Google Scholar 

  • Coelho, L.C., Laporte, G.: Classification, models and exact algorithms for multi-compartment delivery problems. Eur. J. Oper. Res. 242, 854–864 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  • Derigs, U., Gottlieb, J., Kalkoff, J., et al.: Vehicle routing with compartments: applications, modelling and heuristics. OR Spec. 33, 885–914 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  • El Fallahi, A., Prins, C., Wolfler Calvo, R.: A memetic algorithm and a tabu search for the multi-compartment vehicle routing problem. Comput. Oper. Res. 35, 1725–1741 (2008)

    Article  MATH  Google Scholar 

  • Groer, C.: Parallel and serial algorithms for vehicle routing problems, PhD Thesis, University of Maryland (2008)

    Google Scholar 

  • Lahyani, R., Coelho, L.C., Khemakhem, M., et al.: A multi-compartment vehicle routing problem arising in the collection of olive oil in Tunisia. Omega 51, 1–10 (2015)

    Article  Google Scholar 

  • Muyldermans, L., Pang, G.: On the benefits of co-collection: Experiments with a multi-compartment vehicle routing algorithm. Eur. J. Oper. Res. 206, 93–103 (2010)

    Article  MATH  Google Scholar 

  • Reed, M., Yiannakou, A., Evering, R.: An ant colony algorithm for the multi-compartment vehicle routing problem. App. Soft. Comp. 15, 169–176 (2014)

    Article  Google Scholar 

  • Ramos, T.R.P., Gomes, M.I., Barbosa-Póvoa, A.P.: Assessing and improving management practices when planning packaging waste collection systems. Res. Cons. Rec. 85, 116–129 (2014)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Oliveira, A.D., Ramos, T.R.P., Martins, A.L. (2015). Planning Collection Routes with Multi-compartment Vehicles. In: Póvoa, A., de Miranda, J. (eds) Operations Research and Big Data. Studies in Big Data, vol 15. Springer, Cham. https://doi.org/10.1007/978-3-319-24154-8_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-24154-8_16

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24152-4

  • Online ISBN: 978-3-319-24154-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics