000109590 001__ 109590
000109590 005__ 20240731103307.0
000109590 0247_ $$2doi$$a10.1111/itor.12943
000109590 0248_ $$2sideral$$a123289
000109590 037__ $$aART-2023-123289
000109590 041__ $$aeng
000109590 100__ $$0(orcid)0000-0001-7603-9380$$aCalvete, Herminia I.$$uUniversidad de Zaragoza
000109590 245__ $$aA decision tool based on bilevel optimization for the allocation of water resources in a hierarchical system
000109590 260__ $$c2023
000109590 5060_ $$aAccess copy available to the general public$$fUnrestricted
000109590 5203_ $$aThis paper addresses the optimal allocation of water among competing stakeholders during a finite planning horizon. We focus on those water systems where there are two levels of decision making organized according to a hierarchical framework. At the upper level, a central authority allocates water to demand points having regard to environmental and sustainability issues as well as balancing water users' supply/demand. At the lower level of the hierarchy, demand point managers allocate water to users prioritizing economic strategies. On the other hand, when it comes to allocating limited resources that affect public welfare, the authority in charge can also use different political instruments such as fees to influence the decisions made at those levels of decision making that are not directly within its competence. We propose a multiobjective multifollower bilevel optimization problem that aims to fulfill the central authority goals while including the reaction of the demand point managers in terms of optimization problems as constraints. Using the well-known Karush–Kuhn–Tucker approach, we transform the bilevel model into an equivalent multiobjective mixed-integer single-level model for which we provide tight big-M values. For the purpose of showing the versatility of the model, extensive computational experiments on a set of instances have been carried out. The results show that the optimization problem can be solved to optimality in small computing times using off-the-shelf mixed-integer solvers even for complex water systems and long planning periods. In addition, they illustrate the effect of imposing fees on the achievement of the central authority's objectives.
000109590 536__ $$9info:eu-repo/grantAgreement/ES/DGA/E41-20R$$9info:eu-repo/grantAgreement/ES/DGA-FEDER/Construyendo Europa desde Aragón$$9info:eu-repo/grantAgreement/ES/DGA-FEDER/E41-17R$$9info:eu-repo/grantAgreement/ES/MICINN/PID2019-104263RB-C43$$9info:eu-repo/grantAgreement/ES/MINECO/ECO2016-76567-C4-3-R
000109590 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000109590 590__ $$a3.1$$b2023
000109590 591__ $$aMANAGEMENT$$b171 / 401 = 0.426$$c2023$$dQ2$$eT2
000109590 591__ $$aOPERATIONS RESEARCH & MANAGEMENT SCIENCE$$b34 / 106 = 0.321$$c2023$$dQ2$$eT1
000109590 594__ $$a7.8$$b2023
000109590 592__ $$a1.027$$b2023
000109590 593__ $$aBusiness and International Management$$c2023$$dQ1
000109590 593__ $$aComputer Science Applications$$c2023$$dQ1
000109590 593__ $$aStrategy and Management$$c2023$$dQ1
000109590 593__ $$aManagement Science and Operations Research$$c2023$$dQ1
000109590 593__ $$aManagement of Technology and Innovation$$c2023$$dQ2
000109590 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000109590 700__ $$0(orcid)0000-0002-5630-3719$$aGalé, Carmen$$uUniversidad de Zaragoza
000109590 700__ $$0(orcid)0000-0001-9993-9816$$aIranzo, José A.$$uUniversidad de Zaragoza
000109590 700__ $$0(orcid)0000-0003-2988-7728$$aMateo, Pedro M.$$uUniversidad de Zaragoza
000109590 7102_ $$12007$$2265$$aUniversidad de Zaragoza$$bDpto. Métodos Estadísticos$$cÁrea Estadís. Investig. Opera.
000109590 773__ $$g30, 4 (2023), 1673-1702$$pInt. trans. oper. res.$$tINTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH$$x0969-6016
000109590 8564_ $$s640577$$uhttps://zaguan.unizar.es/record/109590/files/texto_completo.pdf$$yPostprint
000109590 8564_ $$s1722217$$uhttps://zaguan.unizar.es/record/109590/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000109590 909CO $$ooai:zaguan.unizar.es:109590$$particulos$$pdriver
000109590 951__ $$a2024-07-31-09:38:12
000109590 980__ $$aARTICLE