Demand management based on model predictive control techniques

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dc.creatorErnesto Rodríguez Leal
dc.creatorCesar Martínez Olvera
dc.creatorRogelio Soto Rodríguez
dc.date2014
dc.date.accessioned2018-10-18T20:34:48Z
dc.date.available2018-10-18T20:34:48Z
dc.descriptionDemand management (DM) is the process that helps companies to sell the right product to the right customer, at the right time, and for the right price. Therefore the challenge for any company is to determine how much to sell, at what price, and to which market segment while maximizing its profits. DM also helps managers efficiently allocate undifferentiated units of capacity to the available demand with the goal of maximizing revenue. This paper introduces control system approach to demand management with dynamic pricing (DP) using the model predictive control (MPC) technique. In addition, we present a proper dynamical system analogy based on active suspension and a stability analysis is provided via the Lyapunov direct method. © 2014 Yasser A. Davizón et al.
dc.identifier.doi10.1155/2014/702642
dc.identifier.issn1024123X
dc.identifier.urihttp://hdl.handle.net/11285/630363
dc.identifier.volume2014
dc.languageeng
dc.publisherHindawi Publishing Corporation
dc.relationhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84904130271&doi=10.1155%2f2014%2f702642&partnerID=40&md5=23590a8686e723e4ab2bdbca062cf3d5
dc.relationInvestigadores
dc.relationEstudiantes
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.sourceMathematical Problems in Engineering
dc.subjectDynamical systems
dc.subjectIndustry
dc.subjectModel predictive control
dc.subjectSales
dc.subjectA-stability
dc.subjectActive suspension
dc.subjectDynamic pricing
dc.subjectLyapunov direct method
dc.subjectMarket segment
dc.subjectModel predictive
dc.subjectSystem approach
dc.subjectPredictive control systems
dc.subject.classification7 INGENIERÍA Y TECNOLOGÍA
dc.titleDemand management based on model predictive control techniques
dc.typeArtículo
refterms.dateFOA2018-10-18T20:34:48Z

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