Design of a logistics nonlinear system for a complex, multiechelon, cupply chain network with uncertain demands

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dc.contributor.author Olivares Benítez, Elías
dc.date.accessioned 2019-01-25T19:05:42Z
dc.date.available 2019-01-25T19:05:42Z
dc.date.issued 2018
dc.identifier.citation Guerrero Campanur, A., Olivares-Benitez, E., Miranda, P. A., Perez-Loaiza, R. E., & Ablanedo-Rosas, J. H. (2018). Design of a logistics nonlinear system for a complex, multiechelon, supply chain network with uncertain demands. Complexity, 2018 doi:10.1155/2018/4139601 es_ES, en_US
dc.identifier.issn 1076-2787
dc.identifier.other Campus Guadalajara es_ES, en_US
dc.identifier.uri http://scripta.up.edu.mx/xmlui/handle/123456789/4810
dc.identifier.uri http://dx.doi.org/10.1155/2018/4139601
dc.description.abstract Industrial systems, such as logistics and supply chain networks, are complex systems because they comprise a big number of interconnected actors and significant nonlinear and stochastic features. This paper analyzes a distribution network design problem for a four-echelon supply chain. The problem is represented as an inventory-location model with uncertain demand and a continuous review inventory policy. The decision variables include location at the intermediate levels and product flows between echelons. The related safety and cyclic inventory levels can be computed from these decision variables. The problem is formulated as a mixed integer nonlinear programming model to find the optimal design of the distribution network. A linearization of the nonlinear model based on a piecewise linear approximation is proposed. The objective function and nonlinear constraints are reformulated as linear formulations, transforming the original nonlinear problem into a mixed integer linear programming model. The proposed approach was tested in 50 instances to compare the nonlinear and linear formulations. The results prove that the proposed linearization outperforms the nonlinear formulation achieving convergence to a better local optimum with shorter computational time. This method provides flexibility to the decision-maker allowing the analysis of scenarios in a shorter time. es_ES, en_US
dc.description.statementofresponsibility Investigadores es_ES, en_US
dc.description.statementofresponsibility Estudiantes
dc.description.statementofresponsibility Maestros
dc.description.tableofcontents Ingeniería es_ES, en_US
dc.language Inglés es_ES, en_US
dc.publisher Hindawi Limited es_ES, en_US
dc.relation Versión del editor es_ES, en_US
dc.relation.ispartof REPOSITORIO SCRIPTA es_ES, en_US
dc.relation.ispartof REPOSITORIO NACIONAL CONACYT es_ES, en_US
dc.relation.ispartof OPENAIRE es_ES, en_US
dc.rights Acceso Abierto es_ES, en_US
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0 es_ES, en_US
dc.rights.uri http://www.sherpa.ac.uk/romeo/search.php?id=3105&la=es&fIDnum=|&mode=advanced&format=full
dc.subject Decision making es_ES, en_US
dc.subject Integer programming es_ES, en_US
dc.subject Linearization es_ES, en_US
dc.subject Nonlinear programming es_ES, en_US
dc.subject Nonlinear systems es_ES, en_US
dc.subject Piecewise linear techniques es_ES, en_US
dc.subject Stochastic systems es_ES, en_US
dc.subject Supply chains es_ES, en_US
dc.subject Mixed integer linear programming model es_ES, en_US
dc.subject Mixed integer nonlinear programming models es_ES, en_US
dc.subject Network design problems es_ES, en_US
dc.subject Non-linear constraints es_ES, en_US
dc.subject Nonlinear formulation es_ES, en_US
dc.subject Piecewise linear approximations es_ES, en_US
dc.subject Stochastic features es_ES, en_US
dc.subject Supply chain network es_ES, en_US
dc.subject Complex networks es_ES, en_US
dc.subject.classification INGENIERIA Y TECNOLOGIA es_ES, en_US
dc.title Design of a logistics nonlinear system for a complex, multiechelon, cupply chain network with uncertain demands es_ES, en_US
dc.type artículo preliminar es_ES, en_US


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