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

Author
Chica, M.; Bautista, J.; Cordón, O.; Damas, S.
Type of activity
Report
Date
2015-04-20
Code
OPE-WP.2015/04 (20150420)
DOI
10.13140/RG.2.1.2045.3922
Project funding
PROTHIUS-III: Programación Restringida de Operaciones en Talleres Híbridos Integrados sobre Unidades en Secuencia. Industria del automóvil (aspectos económicos, jurídicos y sociales)
Repository
http://hdl.handle.net/2117/27564 Open in new window
Abstract
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...
Citation
Chica, M. [et al.]. "A multiobjective model and evolutionary algorithms for robust time and space assembly line balancing under uncertain demand". 2015.
Keywords
Assembly Line Balancing, Multiobjective Evolutionary Algorithms, Robust Optimization, Uncertain Demand
Group of research
OPE-PROTHIUS -

Participants

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

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