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Designing Efficient Material Handling Systems Via Automated Guided Vehicles (AGVs)

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Designing Efficient Material Handling Systems Via Automated Guided Vehicles (AGVs)

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dc.contributor.author Llopis-Albert, Carlos es_ES
dc.contributor.author Rubio, Francisco es_ES
dc.contributor.author Valero, Francisco es_ES
dc.date.accessioned 2018-10-05T09:38:02Z
dc.date.available 2018-10-05T09:38:02Z
dc.date.issued 2018-10-04
dc.identifier.uri http://hdl.handle.net/10251/109506
dc.description.abstract [EN] The designing of an efficient warehouse management system is a key factor to improve productivity and reduce costs. The use of Automated Guided Vehicles (AVGs) in Material Handling Systems (MHS) and Flexible Manufacturing Systems (FMS) can help to that purpose. This paper is intended to provide insight regarding the technical and financial suitability of the implementation of a fleet of AGVs. This is carried out by means of a fuzzy set/qualitative comparative analysis (fsQCA) by measuring the level of satisfaction of managerial decision makers. es_ES
dc.language Inglés es_ES
dc.publisher Universitat Politècnica de València
dc.relation.ispartof Multidisciplinary Journal for Education, Social and Technological Sciences
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Fuzzy sets es_ES
dc.subject Qualitative comparative analysis es_ES
dc.subject Autonomous guided vehicles es_ES
dc.subject Conflict resolution es_ES
dc.subject Decision-making es_ES
dc.subject Material handling systems es_ES
dc.subject Flexible manufacturing systems es_ES
dc.title Designing Efficient Material Handling Systems Via Automated Guided Vehicles (AGVs) es_ES
dc.type Artículo es_ES
dc.date.updated 2018-10-05T08:18:09Z
dc.identifier.doi 10.4995/muse.2018.10722
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Llopis-Albert, C.; Rubio, F.; Valero, F. (2018). Designing Efficient Material Handling Systems Via Automated Guided Vehicles (AGVs). Multidisciplinary Journal for Education, Social and Technological Sciences. 5(2):97-105. https://doi.org/10.4995/muse.2018.10722 es_ES
dc.description.accrualMethod SWORD es_ES
dc.relation.publisherversion https://doi.org/10.4995/muse.2018.10722 es_ES
dc.description.upvformatpinicio 97 es_ES
dc.description.upvformatpfin 105 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 5
dc.description.issue 2
dc.identifier.eissn 2341-2593
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