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Improving productivity using a multi-objective optimization of robotic trajectory planning

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Improving productivity using a multi-objective optimization of robotic trajectory planning

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dc.contributor.author Llopis Albert, Carlos es_ES
dc.contributor.author Rubio Montoya, Francisco José es_ES
dc.contributor.author Valero Chuliá, Francisco José es_ES
dc.date.accessioned 2017-05-23T18:28:29Z
dc.date.available 2017-05-23T18:28:29Z
dc.date.issued 2015-07
dc.identifier.issn 0148-2963
dc.identifier.uri http://hdl.handle.net/10251/81677
dc.description.abstract This study presents a methodology to tackle robot tasks in a cost-efficientway. It poses amulti-objective optimization problemfor trajectory planning of robotic arms that an efficient algorithmwill solve. Themethod finds the minimum time to perform robot tasks while considering the physical constraints of the real working problem and the economic issues participating in the process. This process also considers robotic system dynamics and the presence of obstacles to avoid collisions. It generates an entire set of equally optimal solutions for each process, the Pareto-optimal frontiers. They provide information about the trade-offs between the different decision variables of the multi-objective optimization problem. This procedure can help managers in decision-making processes regarding performing tasks, items to be manufactured or robotic services performed to meet with the current demand, and also, to define an efficient scheduling. It improves productivity and allows firms to stay competitive in rapid changing markets. es_ES
dc.description.sponsorship The authors thank the funding of Science and Innovation Ministry of the Spain Government by means of the Researching and Technologic Development Project DPI2010-20814-C02-01 (IDEMOV). en_EN
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation Science and Innovation Ministry (Spain) DPI2010-20814-C02-01 (IDEMOV) es_ES
dc.relation.ispartof Journal of Business Research es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Robotics es_ES
dc.subject Multi-objective optimization es_ES
dc.subject Trajectory planning es_ES
dc.subject Pareto frontier es_ES
dc.subject Scheduling es_ES
dc.subject.classification INGENIERIA MECANICA es_ES
dc.title Improving productivity using a multi-objective optimization of robotic trajectory planning es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.jbusres.2015.01.027
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Mecánica y de Materiales - Departament d'Enginyeria Mecànica i de Materials es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería del Diseño - Escola Tècnica Superior d'Enginyeria del Disseny es_ES
dc.description.bibliographicCitation Llopis Albert, C.; Rubio Montoya, FJ.; Valero Chuliá, FJ. (2015). Improving productivity using a multi-objective optimization of robotic trajectory planning. Journal of Business Research. 68(7):1429-1431. doi:10.1016/j.jbusres.2015.01.027 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.publisherversion http://dx.doi.org/10.1016/j.jbusres.2015.01.027 es_ES
dc.description.upvformatpinicio 1429 es_ES
dc.description.upvformatpfin 1431 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 68 es_ES
dc.description.issue 7 es_ES
dc.relation.senia 282888 es_ES
dc.identifier.eissn 1873-7978


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