Kanban optimization by simulation and evolution
The problem of the optimal design of multistage systems with Kanban control mechanism is investigated. The optimization problem generalizes those from literature by considering a general criterion function and including the lot sizes as decision variables. Since no analytical solutions can be expected simulation combined with a genetic algorithm is used. The simulator KaSimIR as well as the optimization tool LEO are briefly described. Some examples demonstrate the usability of the approach.
Keywords: Kanban systems; genetic algorithms; optimal design; simulation optimization
Document Type: Research Article
Affiliations: Department of Computer Science, Chemnitz University of Technology, 09107 Chemnitz, Germany, Email: [email protected]
Publication date: 01 December 2002
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