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Optimising the preparedness capacity of enterprise resilience using mathematical programming

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dc.affiliation.areaUC3M. Área de Ingeniería de Organizaciónes
dc.affiliation.dptoUC3M. Departamento de Ingeniería Mecánicaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Ingeniería de Organizaciónes
dc.contributor.authorSanchis, Raquel
dc.contributor.authorDurán Heras, Alfonso
dc.contributor.authorPoler, Raul
dc.contributor.funderAgencia Estatal de Investigación (España)es
dc.date.accessioned2023-07-24T11:35:39Z
dc.date.available2023-07-24T11:35:39Z
dc.date.issued2020-09
dc.descriptionThis article belongs to the Special Issue Mathematical Methods and Analysis for the Industrial Management and Business.en
dc.description.abstractIn today's volatile business arena, companies need to be resilient to deal with the unexpected. One of the main pillars of enterprise resilience is the capacity to anticipate, prevent and prepare in advance for disruptions. From this perspective, the paper proposes a mixed-integer linear programming (MILP) model for optimising preparedness capacity. Based on the proposed reference framework for enterprise resilience enhancement, the MILP optimises the activation of preventive actions to reduce proneness to disruption. To do so, the objective function minimizes the sum of the annual expected cost of disruptive events after implementing preventive actions and the annual cost of such actions. Moreover, the algorithm includes a constraint capping the investment in preventive actions and an attenuation formula to deal with the joint savings produced by the activation of two or more preventive actions on the same disruptive event. The management and business rationale for proposing the MILP approach is to keep it as simple and comprehensible as possible so that it does not require highly mathematically skilled personnel, thus allowing top managers at enterprises of any size to apply it effortlessly. Finally, a real pilot case study was performed to validate the mathematical formulation.en
dc.description.sponsorshipThis work was supported by the Spanish State Research Agency (Agencia Estatal de Investigación) under the Reference No. RTI2018-101344-B-I00-AR.en
dc.format.extent29
dc.identifier.bibliographicCitationSanchis, R., Duran-Heras, A., & Poler, R. (2020). Optimising the preparedness capacity of enterprise resilience using mathematical programming. Mathematics, 8(9), 1596.en
dc.identifier.doihttps://doi.org/10.3390/math8091596
dc.identifier.issn2227-7390
dc.identifier.publicationfirstpage1
dc.identifier.publicationissue9, 1596
dc.identifier.publicationlastpage29
dc.identifier.publicationtitleMathematicsen
dc.identifier.publicationvolume8
dc.identifier.urihttps://hdl.handle.net/10016/37972
dc.identifier.uxxiAR/0000027476
dc.language.isoeng
dc.publisherMDPIen
dc.relation.projectIDGobierno de España. RTI2018-101344-B-I00-ARes
dc.rights© 2020 by the authors.en
dc.rightsAtribución 3.0 España*
dc.rights.accessRightsopen accessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subject.ecienciaIngeniería Mecánicaes
dc.subject.otherEnterprise resilienceen
dc.subject.otherMathematical programmingen
dc.subject.otherMILPen
dc.subject.otherOptimisationen
dc.subject.otherPreparednessen
dc.titleOptimising the preparedness capacity of enterprise resilience using mathematical programmingen
dc.typeresearch article*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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