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dc.contributor.advisorRodríguez-Álamo, Betzabé
dc.contributor.authorRuiz-Hernández, Miguel Á.
dc.date.accessioned2018-09-19T19:36:24Z
dc.date.available2018-09-19T19:36:24Z
dc.date.issued2017
dc.identifier.urihttps://hdl.handle.net/20.500.11801/933
dc.description.abstractBalancing supply and demand in service organizations is a complex problem that should be approached using mathematical modeling. This work developed a resource assignment formulation that deals with the mismatch between personnel profile and tasks required skills, the e ect of travel on resource’s capacity, and the unknown relationship between tasks and workload. The formulation proved to be computationally unsolvable with regular computing capabilities; hence, an alternative formulation was developed. The University of Puerto Rico Agricultural Extension Service was used as test bed. Results showed that the alternative formulation performed very well, average utility results were less than 1% lower than the global optimum across 400 replicas, and utility=size for the full-size problem was in the 79th percentile across the 400-replica’s optimal solution. This work introduces JAM, a contribution to clustering analysis, where cuts at di erent levels are used to extract clusters of di erent sizes and densities from Ward’s dendrograms.en_US
dc.description.sponsorshipUniversity of Puerto Ricoen_US
dc.language.isoenen_US
dc.subjectClustering analysisen_US
dc.subjectWard’s dendrogramsen_US
dc.subject.lcshMultiple criteria decision makingen_US
dc.titleRe-engineering a diverse service system: Multi-criteria resource assignmenten_US
dc.typeThesisen_US
dc.rights.licenseAll rights reserveden_US
dc.rights.holder(c) 2017 Miguel Ángel Ruiz Hernándezen_US
dc.contributor.committeeDávila Padilla, Saylisse
dc.contributor.committeeOrtiz Colón, Guillermo
dc.contributor.committeeCesaní Vázquez, Viviana I.
dc.contributor.representativeLorenzo González, Edgardo
thesis.degree.levelM.S.en_US
thesis.degree.disciplineIndustrial Engineeringen_US
dc.contributor.collegeCollege of Engineeringen_US
dc.contributor.departmentDepartment of Industrial Engineeringen_US
dc.description.graduationYear2017en_US


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    Items included under this collection are theses, dissertations, and project reports submitted as a requirement for completing a graduate degree at UPR-Mayagüez.

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