| Article ID: | iaor1996806 |
| Country: | Netherlands |
| Volume: | 61 |
| Issue: | 1/2 |
| Start Page Number: | 230 |
| End Page Number: | 244 |
| Publication Date: | Aug 1992 |
| Journal: | European Journal of Operational Research |
| Authors: | Nadeau Raymond, Gravel Marc, Martel Jean Marc, Price Wilson, Tremblay Richard |
| Keywords: | decision theory: multiple criteria, artificial intelligence: decision support |
This paper describes the use of the Kanban method for the control of production in a job-shop in order to reduce makespan, reduce work-in-progress, improve machine utilisation, and to control the number of machine setups. A knowledge base has been constructed from a large number of simulations and allows the analysis of the behaviour of the production system under different conditions. The choice of appropriate values for the parameters that control production is made via a multi-criteria outranking method based on stochastic dominance.