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A multiobjective model and evolutionary algorithms for robust time and space assembly line balancing under uncertain demand

Autor
Chica, M.; Bautista, J.; Cordón, O.; Damas, S.
Tipus d'activitat
Document cientificotècnic
Data
2015-04-20
Codi
OPE-WP.2015/04 (20150420)
DOI
10.13140/RG.2.1.2045.3922
Projecte finançador
PROTHIUS-III: Programación Restringida de Operaciones en Talleres Híbridos Integrados sobre Unidades en Secuencia. Industria del automóvil (aspectos económicos, jurídicos y sociales)
Repositori
http://hdl.handle.net/2117/27564 Obrir en finestra nova
Resum
Changes in demand when manufacturing different products require an optimization model that includes robustness in its definition and methods to deal with it. In this work we propose the r-TSALBP, a multiobjective model for assembly line balancing to search for the most robust line configurations when demand changes. The robust model definition considers a set of demand scenarios and presents temporal and spatial overloads of the stations in the assembly line of the products to be assembled. We p...
Citació
Chica, M. [et al.]. "A multiobjective model and evolutionary algorithms for robust time and space assembly line balancing under uncertain demand". 2015.
Paraules clau
Assembly Line Balancing, Multiobjective Evolutionary Algorithms, Robust Optimization, Uncertain Demand
Grup de recerca
OPE-PROTHIUS - Organització de la Producció en Tallers Híbrids

Participants

  • Chica Serrano, Manuel  (autor)
  • Bautista Valhondo, Joaquin  (autor)
  • Cordón García, Oscar  (autor)
  • Damas Arroyo, Sergio  (autor)