Efficient location and allocation strategies for undesirable facilities considering their fundamental properties

Cited 18 time in webofscience Cited 22 time in scopus
  • Hit : 741
  • Download : 212
DC FieldValueLanguage
dc.contributor.authorSong, Byung Dukko
dc.contributor.authorMorrison, James Rko
dc.contributor.authorKo, Young Daeko
dc.date.accessioned2013-08-14T01:09:31Z-
dc.date.available2013-08-14T01:09:31Z-
dc.date.created2013-08-09-
dc.date.created2013-08-09-
dc.date.issued2013-07-
dc.identifier.citationCOMPUTERS & INDUSTRIAL ENGINEERING, v.65, no.3, pp.475 - 484-
dc.identifier.issn0360-8352-
dc.identifier.urihttp://hdl.handle.net/10203/175030-
dc.description.abstractThe phrase "not in my backyard" (NIMBY) refers to the well-known social phenomena in which residents oppose the construction or location of undesirable facilities near their homes. Examples of such facilities include electric transmission lines, recycling centers and crematoria. Due to the opposition typically encountered in constructing an undesirable facility, the facility planner should understand the nature of the NIMBY phenomena and consider it as a key factor in determining facility location. We examine the characteristics of NIMBY phenomena and suggest two alternative mathematical optimization models with the objective of minimizing the total degree of NIMBY sentiments. Genetic algorithms are proposed to solve our linear and nonlinear integer programs. The results obtained via genetic algorithms for our linear integer programs are compared with those of CPLEX to evaluate their performance. The nonlinear programs are tested with various allocation policies. Sensitivity analysis is conducted about several system parameters. (C) 2013 Elsevier Ltd. All rights reserved.-
dc.languageEnglish-
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD-
dc.subjectHAZARDOUS-WASTE FACILITIES-
dc.subjectGENETIC ALGORITHMS-
dc.subjectNIMBY SYNDROME-
dc.subjectCONCAVE COSTS-
dc.subjectSCALE-
dc.subjectOPTIMIZATION-
dc.subjectMANAGEMENT-
dc.subjectNETWORKS-
dc.subjectSEARCH-
dc.subjectMODEL-
dc.titleEfficient location and allocation strategies for undesirable facilities considering their fundamental properties-
dc.typeArticle-
dc.identifier.wosid000320479300013-
dc.identifier.scopusid2-s2.0-84877848173-
dc.type.rimsART-
dc.citation.volume65-
dc.citation.issue3-
dc.citation.beginningpage475-
dc.citation.endingpage484-
dc.citation.publicationnameCOMPUTERS & INDUSTRIAL ENGINEERING-
dc.identifier.doi10.1016/j.cie.2013.03.009-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
dc.contributor.localauthorMorrison, James R-
dc.contributor.nonIdAuthorSong, Byung Duk-
dc.contributor.nonIdAuthorKo, Young Dae-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorLocation-
dc.subject.keywordAuthorAllocation-
dc.subject.keywordAuthorUndesirable facility-
dc.subject.keywordAuthorNIMBY phenomena-
dc.subject.keywordAuthorGenetic algorithm-
dc.subject.keywordPlusHAZARDOUS-WASTE FACILITIES-
dc.subject.keywordPlusGENETIC ALGORITHMS-
dc.subject.keywordPlusNIMBY SYNDROME-
dc.subject.keywordPlusCONCAVE COSTS-
dc.subject.keywordPlusSCALE-
dc.subject.keywordPlusOPTIMIZATION-
dc.subject.keywordPlusMANAGEMENT-
dc.subject.keywordPlusNETWORKS-
dc.subject.keywordPlusSEARCH-
dc.subject.keywordPlusMODEL-
Appears in Collection
IE-Journal Papers(저널논문)
Files in This Item
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 18 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0