IDEAS home Printed from https://ideas.repec.org/a/ids/ijlsma/v28y2017i2p127-143.html
   My bibliography  Save this article

Adaptation of simulated annealing to an integrated municipal solid waste location-routing problem

Author

Listed:
  • Hossein Asefi
  • Samsung Lim
  • Mojtaba Maghrebi

Abstract

This paper aims to propose an integrated municipal solid waste management network covering multiple types of wastes concurrently and utilise a location-routing problem framework to minimise the establishment cost of interrelated facilities (i.e., transfer stations; treatment, recycling and disposal centres) in the network and the transportation cost of wastes in the entire network. The defined problem consists of the concurrent site selection of the locations of the system's all facilities among the candidate locations and the determination of routes and amount of shipments among the selected facilities to minimise the total cost of transportation and facility establishment. As the addressed problem exhibits the non-deterministic polynomial-time hardness (NP-hardness), an adaptation of the simulated annealing algorithm is proposed in this paper. The experiment results, when compared with the exact solutions obtained by mixed-integer programming in terms of solution fitness and computing time, imply that the employed algorithm works effectively and efficiently.

Suggested Citation

  • Hossein Asefi & Samsung Lim & Mojtaba Maghrebi, 2017. "Adaptation of simulated annealing to an integrated municipal solid waste location-routing problem," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 28(2), pages 127-143.
    • Handle: RePEc:ids:ijlsma:v:28:y:2017:i:2:p:127-143
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=86348
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. H. Asefi & S. Lim & M. Maghrebi & S. Shahparvari, 2019. "Mathematical modelling and heuristic approaches to the location-routing problem of a cost-effective integrated solid waste management," Annals of Operations Research, Springer, vol. 273(1), pages 75-110, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ids:ijlsma:v:28:y:2017:i:2:p:127-143. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=134 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.