Solving manufacturing cell design problems using constraint programming

RICARDO JAVIER SOTO DE GIORGIS, Hakan Kjellerstrand, Juan Gutiérrez, Alexis López, BRODERICK CRAWFORD LABRIN, Eric Monfroy

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

13 Citas (Scopus)

Resumen

A manufacturing cell design problem (MCDP) consists in creating an optimal production plant layout. The production plant is composed of cells which in turn are composed of machines that process part families of products. The goal is to minimize part flow among cells in order to reduce production costs and increase productivity. In this paper, we focus on modeling and solving the MCDP by using state-of-the-art constraint programming (CP) techniques. We implement different optimization models and we solve it by using two solving engines. Our preliminary results demonstrate the efficiency of the proposed implementations, indeed the global optima is reached in all instances and in competitive runtime.

Idioma originalInglés
Título de la publicación alojadaAdvanced Research in Applied Artificial Intelligence - 25th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2012, Proceedings
Páginas400-406
Número de páginas7
DOI
EstadoPublicada - 1 ago 2012
Evento25th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2012 - Dalian, China
Duración: 9 jun 201212 jun 2012

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen7345 LNAI
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia25th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2012
País/TerritorioChina
CiudadDalian
Período9/06/1212/06/12

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