A comparison of the performance of artificial intelligence techniques for optimizing the number of kanbans

Journal of the Operational Research Society

Volumn 53, Issue 8, 2002, Pages 907-914

  Alabas, C ^a   Altiparmak, F ^a   Dengiz, B ^a  

^a GAZI UNIVERSITY   (Turkey)

Author keywords

Genetic algorithms; Just in Time system; Kanban; Kanban controlled system; Neural network; Simulated annealing; Simulation optimization; Tabu search

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTATIONAL METHODS; COST ACCOUNTING; GENETIC ALGORITHMS; HEURISTIC METHODS; JUST IN TIME PRODUCTION; MATHEMATICAL MODELS; NEURAL NETWORKS; SIMULATED ANNEALING;

KANBAN-CONTROLLED SYSTEMS;

OPERATIONS RESEARCH;

EID: 0036682097     PISSN: 01605682     EISSN: None     Source Type: Journal    
DOI: 10.1057/palgrave.jors.2601395     Document Type: Article

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