dc.creator | Carrizosa Priego, Emilio José | es |
dc.creator | Nickel, Stefan | es |
dc.date.accessioned | 2016-12-09T09:39:51Z | |
dc.date.available | 2016-12-09T09:39:51Z | |
dc.date.issued | 2003-11 | |
dc.identifier.citation | Carrizosa Priego, E.J. y Nickel, S. (2003). Robust facility location. Mathematical Methods of Operations Research, 58 (2), 331-349. | |
dc.identifier.issn | 1432-2994 | es |
dc.identifier.issn | 1432-5217 | es |
dc.identifier.uri | http://hdl.handle.net/11441/49900 | |
dc.description.abstract | Let A be a nonempty finite subset of the plane representing the geographical coordinates of a set of demand points (towns, …), to be served by a facility, whose location within a given region S is sought. Assuming that the unit cost for a∈A if the facility is located at x∈S is proportional to dist(x,a) — the distance from x to a — and that demand of point a is given by ωa, minimizing the total transportation cost TC(ω,x) amounts to solving the Weber problem. In practice, it may be the case, however, that the demand vector ω is not known, and only an estimator ωcirc; can be provided. Moreover the errors in such estimation process may be non-negligible. We propose a new model for this situation: select a threshold value B>0 representing the highest admissible transportation cost. Define the robustness ρ of a location x as the minimum increase in demand needed to become inadmissible, i.e. ρ(x)=min{|ω−ωcirc;|:TC(ω,x)>B,ω≥0} and find the x maximizing ρ to get the most robust location. | es |
dc.description.sponsorship | Ministerio de Ciencia y Tecnología | es |
dc.description.sponsorship | Deutsche Forschungsgemeinschaft | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Springer | es |
dc.relation.ispartof | Mathematical Methods of Operations Research, 58 (2), 331-349. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Facilities | es |
dc.subject | Location | es |
dc.subject | Continuous | es |
dc.subject | Decision analysis | es |
dc.subject | Risk | es |
dc.subject | Programming | es |
dc.subject | Fractional | es |
dc.title | Robust facility location | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Estadística e Investigación Operativa | es |
dc.relation.projectID | BFM2002-04525-C02-02 | es |
dc.relation.projectID | PB96-1416-C02-02 | es |
dc.relation.publisherversion | http://download.springer.com/static/pdf/540/art%253A10.1007%252Fs001860300294.pdf?originUrl=http%3A%2F%2Flink.springer.com%2Farticle%2F10.1007%2Fs001860300294&token2=exp=1481276593~acl=%2Fstatic%2Fpdf%2F540%2Fart%25253A10.1007%25252Fs001860300294.pdf%3ForiginUrl%3Dhttp%253A%252F%252Flink.springer.com%252Farticle%252F10.1007%252Fs001860300294*~hmac=12fb1c5d7aa4336af25bac0ef7fe0f00796d91f4ae6111c78fe959d73d33d9c5 | es |
dc.identifier.doi | 10.1007/s001860300294 | es |
dc.contributor.group | Universidad de Sevilla. FQM329: Optimización | es |
idus.format.extent | 21 p. | es |
dc.journaltitle | Mathematical Methods of Operations Research | es |
dc.publication.volumen | 58 | es |
dc.publication.issue | 2 | es |
dc.publication.initialPage | 331 | es |
dc.publication.endPage | 349 | es |
dc.identifier.idus | https://idus.us.es/xmlui/handle/11441/49900 | |
dc.contributor.funder | Ministerio de Ciencia y Tecnología (MCYT). España | |
dc.contributor.funder | Deutsche Forschungsgemeinschaft / German Research Foundation (DFG) | |