Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/69302
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dc.contributor.authorHernández Guerra, Juan Maríaen_US
dc.contributor.authorPedroza Gutiérrez, Carmenen_US
dc.date.accessioned2020-01-24T08:05:49Z-
dc.date.available2020-01-24T08:05:49Z-
dc.date.issued2019en_US
dc.identifier.issn1932-6203en_US
dc.identifier.otherWoS-
dc.identifier.urihttp://hdl.handle.net/10553/69302-
dc.description.abstractSeveral studies have shown that the performance of a supply chain is heavily influenced by the pattern of relationships among firms. This paper analyzes the structure of relationships (network topology) that leads to the highest agility of a food supply chain when sudden demand changes occur. To do this, a simulation model that represents a supply chain and specific rules to allocate orders is built. The supply chain in the model follows the specific characteristics of trade in the primary sector. The model is fitted to the conditions of a real seafood supply chain in Mexico. Agility is measured through the effect on the order fulfillment of a sudden demand shock and the recovery time of this rate to previous values. The simulation results show that the most suitable structure depends on how product is distributed among suppliers. If product is evenly shared, supply chains with homogeneous topologies are more agile than supply chains with heterogeneous topologies, but the result is the opposite if product is unevenly shared among suppliers. Other previous recommendations, such as having multiple suppliers and horizontal links, are confirmed by the simulations. These findings contribute to the general debate on which is the optimal topology for an agile supply chain.en_US
dc.languageengen_US
dc.relation.ispartofPLoS ONEen_US
dc.sourcePlos One[ISSN 1932-6203],v. 14 (7)en_US
dc.subject5311 Organización y dirección de empresasen_US
dc.subject.otherComplex adaptive systemsen_US
dc.subject.otherResilienceen_US
dc.subject.otherMiddlemenen_US
dc.subject.otherRedes de trabajoen_US
dc.titleEstimating the influence of the network topology on the agility of food supply chainsen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1371/journal.pone.0218958
dc.identifier.scopus85069577003
dc.identifier.isi000484947800044-
dc.contributor.authorscopusid7403026151
dc.contributor.authorscopusid57184292300
dc.identifier.issue7-
dc.relation.volume14-
dc.investigacionCiencias Sociales y Jurídicasen_US
dc.type2Artículoen_US
dc.contributor.daisngid1765491
dc.contributor.daisngid7552344
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Hernandez, JM
dc.contributor.wosstandardWOS:Pedroza-Gutierrez, C
dc.date.coverdateJulio 2019
dc.identifier.ulpgces
dc.description.sjr1,1
dc.description.jcr2,776
dc.description.sjrqQ1
dc.description.jcrqQ2
dc.description.scieSCIE
dc.description.erihplusERIH PLUS
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.author.deptGIR TIDES: Economía, medioambiente, sostenibilidad y turismo-
crisitem.author.deptIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.deptDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.orcid0000-0001-6897-5179-
crisitem.author.parentorgIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.fullNameHernández Guerra, Juan María-
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