A proposed approach for reconfiguration of flexible assembly line systems by motion genes

DOI10.1080/00207540412331327709zbMath1090.90062OpenAlexW2057025280MaRDI QIDQ4681144

John K. L. Ho

Publication date: 14 June 2005

Published in: International Journal of Production Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207540412331327709

zbMATH Keywords

genetic algorithmsystem reconfigurationflexible assembly linemotion genes

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Production models (90B30)

Related Items (3)

Reconfiguration of assembly lines under the influence of high product variety in the automotive industry–a decision support system ⋮ An adaptive genetic algorithm approach for the mixed-model assembly line sequencing problem ⋮ Applying available-to-promise (ATP) concept in mixed-model assembly line sequencing problems in a make-to-order (MTO) environment: problem extension, model formulation and Lagrangian relaxation algorithm

Cites Work

• Branch-and-bound algorithms for the multi-product assembly line balancing problem
• Using simulated annealing to solve a multiobjective assembly line balancing problem with parallel workstations

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