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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: Programaci¿n Restringida de Operaciones en Talleres H¿bridos Integrados sobre Unidades en Secuencia. Industria del autom¿vil (aspectos econ¿micos, jur¿dicos 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
Robust Optimization, Assembly Line Balancing, Multiobjective Evolutionary Algorithms, Uncertain Demand
Grup de recerca
OPE - Organització de la Producció i d'Empresa (aspectes tècnics, jurídics i econòmics en Producció)

Participants

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