000064431 001__ 64431
000064431 005__ 20190709135458.0
000064431 0247_ $$2doi$$a10.1016/j.jclepro.2017.01.092
000064431 0248_ $$2sideral$$a98265
000064431 037__ $$aART-2017-98265
000064431 041__ $$aeng
000064431 100__ $$aZamarrón-Mieza, Iván
000064431 245__ $$aA systematic review of application of multi-criteria decision analysis for aging-dam management
000064431 260__ $$c2017
000064431 5060_ $$aAccess copy available to the general public$$fUnrestricted
000064431 5203_ $$aDecisions for aging-dam management requires a transparent process to prevent the dam failure, thus to avoid severe consequences in socio-economic and environmental terms. Multiple criteria analysis arose to model complex problems like this. This paper reviews specific problems, applications and Multi-Criteria Decision Making techniques for dam management. Multi-Attribute Decision Making techniques had a major presence under the single approach, specially the Analytic Hierarchy Process, and its combination with Technique for Order of Preference by Similarity to Ideal Solution was prominent under the hybrid approach; while a high variety of complementary techniques was identified. A growing hybridization and fuzzification are the two most relevant trends observed. The integration of stakeholders within the decision making process and the inclusion of trade-offs and interactions between components within the evaluation model must receive a deeper exploration. Despite the progressive consolidation of Multi-Criteria Decision Making in dam management, further research is required to differentiate between rational and intuitive decision processes. Additionally, the need to address benefits, opportunities, costs and risks related to repair, upgrading or removal measures in aging dams suggests the Analytic Network Process, not yet explored under this approach, as an interesting path worth investigating.
000064431 536__ $$9info:eu-repo/grantAgreement/ES/MINECO/BIA2014-56574-R$$9info:eu-repo/grantAgreement/ES/MINECO/ECO2015-66673-R
000064431 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000064431 590__ $$a5.651$$b2017
000064431 591__ $$aENGINEERING, ENVIRONMENTAL$$b7 / 50 = 0.14$$c2017$$dQ1$$eT1
000064431 591__ $$aGREEN & SUSTAINABLE SCIENCE & TECHNOLOGY$$b6 / 33 = 0.182$$c2017$$dQ1$$eT1
000064431 591__ $$aENVIRONMENTAL SCIENCES$$b21 / 241 = 0.087$$c2017$$dQ1$$eT1
000064431 592__ $$a1.467$$b2017
000064431 593__ $$aEnvironmental Science (miscellaneous)$$c2017$$dQ1
000064431 593__ $$aStrategy and Management$$c2017$$dQ1
000064431 593__ $$aRenewable Energy, Sustainability and the Environment$$c2017$$dQ1
000064431 593__ $$aIndustrial and Manufacturing Engineering$$c2017$$dQ1
000064431 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000064431 700__ $$aYepes, Víctor
000064431 700__ $$0(orcid)0000-0002-5037-6976$$aMoreno-Jiménez, José María$$uUniversidad de Zaragoza
000064431 7102_ $$14008$$2623$$aUniversidad de Zaragoza$$bDpto. Estruc.Hª Econ.y Eco.Pb.$$cÁrea Métodos Cuant.Econ.Empres
000064431 773__ $$g147 (2017), 217-230$$pJ. clean. prod.$$tJournal of Cleaner Production$$x0959-6526
000064431 8564_ $$s6353076$$uhttps://zaguan.unizar.es/record/64431/files/texto_completo.pdf$$yPostprint
000064431 8564_ $$s13264$$uhttps://zaguan.unizar.es/record/64431/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000064431 909CO $$ooai:zaguan.unizar.es:64431$$particulos$$pdriver
000064431 951__ $$a2019-07-09-11:44:49
000064431 980__ $$aARTICLE