Productioon uncertainties modelling by Bayesian inference using Gibbs sampling
Analysis by modelling production throughput is an efficient way to provide information for production decision-making. Observation and investigation based on a real-life tile production line revealed that the five main uncertain variables are demand rate, breakdown time, scrap rate, setup time, and...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Stellenbosch University
2015-11-01
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| Series: | South African Journal of Industrial Engineering |
| Subjects: | |
| Online Access: | http://sajie.journals.ac.za/pub/article/view/572 |