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Details for article 24 of 129 found articles
| Title: |
A neural network procedure for kanban allocation in JIT production control systems |
| Author: |
Savsar, Mehmet Choueiki, M. Hisham |
| Appeared in: |
International journal of production research |
| Paging: | Volume 38 (2000) nr. 14 pages 3247-3265 |
| Year: |
2000-09-10 |
| Contents: |
In this paper, we develop a Generalized Systematic Procedure (GSP) for determining the optimum kanban allocation in just-in-time (JIT) controlled production lines. This procedure is based on a meta-model that incorporates (1) a factorial design approach to select the appropriate kanban combinations, (2) a simulation model to simulate the JIT production line, and (3) a trained neural network model to evaluate the line performance over the entire domain of possible kanban combinations. The GSP is then applied to a case problem and the results are presented. |
| Publisher: |
Taylor & Francis |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 24 of 129 found articles
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