Re-engineering a diverse service system: Multi-criteria resource assignment

dc.contributor.advisor Rodríguez-Álamo, Betzabé Ruiz-Hernández, Miguel Á. College of Engineering en_US
dc.contributor.committee Dávila Padilla, Saylisse
dc.contributor.committee Ortiz Colón, Guillermo
dc.contributor.committee Cesaní Vázquez, Viviana I.
dc.contributor.department Department of Industrial Engineering en_US
dc.contributor.representative Lorenzo González, Edgardo 2018-09-19T19:36:24Z 2018-09-19T19:36:24Z 2017
dc.description.abstract Balancing 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.graduationYear 2017 en_US
dc.description.sponsorship University of Puerto Rico en_US
dc.language.iso en en_US
dc.rights.holder (c) 2017 Miguel Ángel Ruiz Hernández en_US
dc.rights.license All rights reserved en_US
dc.subject Clustering analysis en_US
dc.subject Ward’s dendrograms en_US
dc.subject.lcsh Multiple criteria decision making en_US
dc.title Re-engineering a diverse service system: Multi-criteria resource assignment en_US
dc.type Thesis en_US
dspace.entity.type Publication Industrial Engineering en_US M.S. en_US
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