A GRASP algorithm to optimize operational costs and regularity of production in mixed-model sequencing problems with forced interruption of operations

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/123730

Title:	A GRASP algorithm to optimize operational costs and regularity of production in mixed-model sequencing problems with forced interruption of operations
Author:	Bautista Valhondo, Joaquín; Alfaro Pozo, Rocío
Other authors:	Universitat Politècnica de Catalunya. Departament d'Organització d'Empreses; Universitat Politècnica de Catalunya. OPE-PROTHIUS - Organització de la Producció en Tallers Híbrids
Abstract:	This book constitutes the refereed proceedings of the 18th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2018, held in Granada, Spain, in October 2018. The 36 full papers presented were carefully selected from 240 submissions. The Conference of the Spanish Association of Artificial Intelligence (CAEPIA) is a biennial forum open to researchers from all over the world to present and discuss their latest scientific and technological advances in Antificial Intelligence (AI). Authors are kindly requested to submit unpublished original papers describing relevant research on AI issues from all points of view: formal, methodological, technical or applied.
Subject(s):	-Àrees temàtiques de la UPC::Economia i organització d'empreses -GRASP Program -GRASP -Bounded Dynamic Programming -Work overload -Operational cost -Mixed-model sequencing problems -Optimització industrial -Algorismes computacionals
Rights:	Attribution-NonCommercial-NoDerivs 3.0 Spain http://creativecommons.org/licenses/by-nc-nd/3.0/es/
Document type:	Article - Submitted version Book Part
Published by:	Springer
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