A simplified probabilistic validation of production flows
| Authors | |
|---|---|
| Year of publication | 2019 |
| Type | Article in Proceedings |
| Conference | Proceedings of 18th International Conference on Modeling and Applied Simulation |
| MU Faculty or unit | |
| Citation | |
| Keywords | categoric simulation of production flow; signal; stochastic processing times; probabilistic stack validation |
| Description | This paper extends the stack validation algorithm in aprobabilistic way. In other words, we introduce a new model for stack validation when the production parameters are random variables and the result is compared with a confidence interval. The major outcome of this simplified probabilistic model is to determine random variables merely by mean, variance, and skewness. This straightforwardly enables some direct, fast and consistent calculations by using certain properties of these moments. |
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