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A Dual Scheduling Model for Optimizing Robustness and Energy Consumption in Manufacturing Systems

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A Dual Scheduling Model for Optimizing Robustness and Energy Consumption in Manufacturing Systems

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dc.contributor.author Escamilla Fuster, Joan es_ES
dc.contributor.author Salido Gregorio, Miguel Angel es_ES
dc.date.accessioned 2016-09-08T06:50:49Z
dc.date.available 2016-09-08T06:50:49Z
dc.date.issued 2016
dc.identifier.issn 0954-4054
dc.identifier.uri http://hdl.handle.net/10251/69054
dc.description.abstract [EN] Manufacturing systems involve a huge number of combinatorial problems that must be optimized in an efficient way. One of these problems is related to task scheduling problems. These problems are NP-hard, so most of the complete techniques are not able to obtain an optimal solution in an efficient way. Furthermore, most of real manufacturing problems are dynamic, so the main objective is not only to obtain an optimized solution in terms of makespan, tardiness, and so on but also to obtain a solution able to absorb minor incidences/disruptions presented in any daily process. Most of these industries are also focused on improving the energy efficiency of their industrial processes. In this article, we propose a knowledge-based model to analyse previous incidences occurred in the machines with the aim of modelling the problem to obtain robust and energy-aware solutions. The resultant model (called dual model) will protect the more dynamic and disrupted tasks by assigning buffer times. These buffers will be used to absorb incidences during execution and to reduce the machine rate to minimize energy consumption. This model is solved by a memetic algorithm which combines a genetic algorithm with a local search to obtain robust and energy-aware solutions able to absorb further disruptions. The proposed dual model has been proven to be efficient in terms of energy consumption, robustness and stability in different and well-known benchmarks. es_ES
dc.description.sponsorship The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research has been supported by the Spanish Government under research project TIN2013-46511-C2-1 for the Spanish government and the TETRACOM EU project FP7-ICT-2013-10-No 609491.
dc.language Inglés es_ES
dc.publisher SAGE Publications (UK and US) es_ES
dc.relation MICINN/TIN2013-46511- C2-1 es_ES
dc.relation.ispartof Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Scheduling problem es_ES
dc.subject Energy efficiency es_ES
dc.subject Robustness es_ES
dc.subject Dual model es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title A Dual Scheduling Model for Optimizing Robustness and Energy Consumption in Manufacturing Systems es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1177/0954405415625915
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/609491
dc.rights.accessRights Abierto
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Escamilla Fuster, J.; Salido Gregorio, MA. (2016). A Dual Scheduling Model for Optimizing Robustness and Energy Consumption in Manufacturing Systems. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture. 1(1):1-12. doi:10.1177/0954405415625915 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.publisherversion http://dx.doi.org/10.1177/0954405415625915 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 12 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 1 es_ES
dc.description.issue 1 es_ES
dc.relation.senia 294865 es_ES
dc.identifier.eissn 2041-2975
dc.contributor.funder European Commission
dc.contributor.funder Ministerio de Ciencia e Innovación (MICINN)


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