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Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm

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Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm

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Dai, M.; Tang, D.; Giret Boggino, AS.; Salido Gregorio, MA.; Li, W. (2013). Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm. Robotics and Computer-Integrated Manufacturing. 29(5):418-429. doi:10.1016/j.rcim.2013.04.001

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/43457

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Title: Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
[EN] The traditional production scheduling problem considers performance indicators such as processing time, cost and quality as optimization objectives in manufacturing systems; however, it does not take energy consumption ...[+]
Subjects: Flexible flow-shop scheduling (FFS) , Energy consumption , Energy saving , Makespan , Genetic-simulated annealing algorithm
Copyrigths: Reserva de todos los derechos
Source:
Robotics and Computer-Integrated Manufacturing. (issn: 0736-5845 )
DOI: 10.1016/j.rcim.2013.04.001
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.rcim.2013.04.001
Project ID: info:eu-repo/grantAgreement/EC/FP7/294931
Description: This is the author’s version of a work that was accepted for publication in Robotics and Computer-Integrated Manufacturing. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Robotics and Computer-Integrated Manufacturing, [Volume 29, Issue 5, October 2013, Pages 418–429] DOI10.1016/j.rcim.2013.04.001
Thanks:
This research was carried out as a part of the CASES project which is supported by a Marie Curie International Research Staff Exchange Scheme Fellowship within the 7th European Community Framework Program under the Grant ...[+]
Type: Artículo

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