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dc.creatorLaura Hervert Escobar
dc.creatorVassil Nikolov Alexandrov
dc.date2017
dc.date.accessioned2018-10-18T21:22:05Z
dc.date.available2018-10-18T21:22:05Z
dc.identifier.issn18770509
dc.identifier.doi10.1016/j.procs.2017.11.475
dc.identifier.urihttp://hdl.handle.net/11285/630472
dc.descriptionA well designed territory enhances customer coverage, increases sales, fosters fair performance and rewards systems and lower travel cost. This paper considers a real life case study to design a sales territory for a business sales plan. The business plan consists in assigning the optimal quantity of sellers to a territory including the scheduling and routing plans for each seller. The problem is formulated as a combination of assignment, scheduling and routing optimization problems. The solution approach considers a meta-heuristic using stochastic iterative projection method for large systems. Several real life instances of different sizes were tested with stochastic data to represent raise/fall in the customers demand as well as the appearance/loss of customers. © 2017 The Authors. Published by Elsevier B.V.
dc.languageeng
dc.publisherElsevier B.V.
dc.relationhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85040312728&doi=10.1016%2fj.procs.2017.11.475&partnerID=40&md5=8b0ca1f6a91260067a38e6e1194356bb
dc.relationInvestigadores
dc.relationEstudiantes
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.sourceProcedia Computer Science
dc.subjectHeuristic methods
dc.subjectIterative methods
dc.subjectSales
dc.subjectScheduling
dc.subjectStochastic systems
dc.subjectDifferent sizes
dc.subjectIterative projection methods
dc.subjectOptimal quantity
dc.subjectProjection method
dc.subjectScheduling and routing
dc.subjectSolution approach
dc.subjectStochastic data
dc.subjectTerritory design
dc.subjectOptimization
dc.subject.classification7 INGENIERÍA Y TECNOLOGÍA
dc.titleIterative Projection approach for solving the Territorial Business Sales optimization problem
dc.typeConferencia
dc.identifier.volume122
dc.identifier.startpage1069
dc.identifier.endpage1076
refterms.dateFOA2018-10-18T21:22:05Z


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