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Kanban optimization by simulation and evolution |
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| Authors: | Peter Köchel Ulf Nieländer |
| Institution: | 1. Department of Computer Science , Chemnitz University of Technology , Chemnitz, 09107, Germany E-mail: pko@informatik.tu-chemnitz.de;2. Department of Computer Science , Chemnitz University of Technology , Chemnitz, 09107, Germany |
| Abstract: | 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 Optimal Design Simulation Optimization Genetic Algorithms |