The Influence of the Picking Times of the Components in Time and Space Assembly Line Balancing Problems: An Approach with Evolutionary Algorithms

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Alsina:2015:ieeeSSCI,

• author = "Emanuel F. Alsina and Nicola Capodieci and Giacomo Cabri and Alberto Regattieri",
• booktitle = "2015 IEEE Symposium Series on Computational Intelligence",
• title = "The Influence of the Picking Times of the Components in Time and Space Assembly Line Balancing Problems: An Approach with Evolutionary Algorithms",
• year = "2015",
• pages = "1021--1028",
• abstract = "The balancing of assembly lines is one of the most studied industrial problems, both in academic and practical fields. The workable application of the solutions passes through a reliable simplification of the real-world assembly line systems. Time and space assembly line balancing problems consider a realistic versions of the assembly lines, involving the optimisation of the entire line cycle time, the number of stations to install, and the area of these stations. Components, necessary to complete the assembly tasks, have different picking times depending on the area where they are allocated. The implementation in the real world of a line balanced disregarding the distribution of the tasks which use unwieldy components can result unfeasible. The aim of this paper is to present a method which balances the line in terms of time and space, hence optimises the allocation of the components using an evolutionary approach. In particular, a method which combines the bin packing problem with a genetic algorithm and a genetic programming is presented. The proposed method can be able to find different solutions to the line balancing problem and then evolve they in order to optimise the allocation of the components in certain areas in the workstation.",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/SSCI.2015.148",
• month = dec,
• notes = "Dept. of Phys., Inf. & Math., Univ. of Modena & Reggio Emilia, Modena, Italy Also known as \cite{7376724}",

}

Genetic Programming entries for Emanuel Federico Alsina Nicola Capodieci Giacomo Cabri Alberto Regattieri

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