Solving a concrete sleepers production scheduling by genetic algorithms

M. E. Pérez-Vázquez, A. M. Gento-Municio and Helena Ramalhinho-Lourenço ()
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Helena Ramalhinho-Lourenço: https://www.upf.edu/web/econ/faculty/-/asset_publisher/6aWmmXf28uXT/persona/id/3418484

Economics Working Papers from Department of Economics and Business, Universitat Pompeu Fabra

Abstract: PRECON S.A is a manufacturing company dedicated to produce prefabricated concrete parts to several industries as rail transportation and agricultural industries.Recently, PRECON signed a contract with RENFE, the Spanish Nnational Rail Transportation Company to manufacture pre-stressed concrete sleepers for siding of the new railways of the high speed train AVE. The scheduling problem associated with the manufacturing process of the sleepers is very complex since it involves several constraints and objectives. The constraints are related with production capacity, the quantity of available moulds, satisfying demand and other operational constraints. The two main objectives are related with maximizing the usage of the manufacturing resources and minimizing the moulds movements. We developed a deterministic crowding genetic algorithm for this multiobjective problem. The algorithm has proved to be a powerful and flexible tool to solve the large-scale instance of this complex real scheduling problem.

Keywords: Production scheduling; genetic algorithms. (search for similar items in EconPapers)
JEL-codes: D83 L23 L61 (search for similar items in EconPapers)
Date: 2004-01
New Economics Papers: this item is included in nep-cmp
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