Closest assignment constraints in discrete location problems
The objective of this paper is to identify the most promising sets of closest assignment constraints in the literature of Discrete Location Theory, helping the authors in the field to model their problems when clients must be assigned to the closest plant inside an Integer Programming formulation. In particular, constraints leading to weak Linear Programming relaxations should be avoided if no other good property supports their use. We also propose a new set of constraints with good theoretical properties.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Hanjoul, P. & Hansen, P. & Peeters, D. & Thisse, J.-F., 1988.
"Uncapacitated plant location under alternative spatial price policies,"
CORE Discussion Papers
1988019, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Pierre Hanjoul & Pierre Hansen & Dominique Peeters & Jacques-Francois Thisse, 1990. "Uncapacitated Plant Location Under Alternative Spatial Price Policies," Management Science, INFORMS, vol. 36(1), pages 41-57, January.
- HANJOUL, Pierre & HANSEN, Pierre & PEETERS, Dominique & THISSE, Jacques-François, . "Uncapacitated plant location under alternative spatial price policies," CORE Discussion Papers RP -875, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Jörg Kalcsics & Stefan Nickel & Justo Puerto & Antonio Rodríguez-Chía, 2010. "The ordered capacitated facility location problem," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer, vol. 18(1), pages 203-222, July.
- Teixeira, Joao C. & Antunes, Antonio P., 2008. "A hierarchical location model for public facility planning," European Journal of Operational Research, Elsevier, vol. 185(1), pages 92-104, February.
- Hanjoul, Pierre & Peeters, Dominique, 1987. "A facility location problem with clients' preference orderings," Regional Science and Urban Economics, Elsevier, vol. 17(3), pages 451-473, August.
- Plastria, Frank, 2002. "Formulating logical implications in combinatorial optimisation," European Journal of Operational Research, Elsevier, vol. 140(2), pages 338-353, July.
When requesting a correction, please mention this item's handle: RePEc:eee:ejores:v:219:y:2012:i:1:p:49-58. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei)
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.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.