GRASP for minimizing the ergonomic risk range in mixed-model assembly lines
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hdl:2117/91099
Document typeConference report
Defense date2016
PublisherEdiciones Universidad de Salamanca
Rights accessRestricted access - publisher's policy
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Attribution-NonCommercial-NoDerivs 3.0 Spain
Abstract
This research examines an assembly line balancing problem and compares the linear programing with a Greedy Randomized Adaptive Search Procedure (GRASP). The problem focuses on minimizing the absolute average deviation for the ergonomic risk between the set of workstations of the line, considering a fixed cycle time and an available space per station. However, the final objective is to obtain line configurations with the lowest possible ergonomic risk, and the lowest discrepancy for the risk level between all stations. Although GRASP does not win linear programing, in all cases, it shows competitive.
CitationBautista, J., Alfaro, R., Batalla, C. GRASP for minimizing the ergonomic risk range in mixed-model assembly lines. A: Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados. "XI Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2016)". Salamanca: Ediciones Universidad de Salamanca, 2016, p. 1-10.
Publisher versionhttp://congresocedi.es/actas/actas.html
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CAEPIA2016_30.pdf | 1,707Mb | Restricted access |