Abstract
The global demand for raw materials is increasing consistently in the modern world such that a resource efficient handling becomes more and more important in today’s manufacturing processes. A very challenging task is to optimize maintenance strategies for manufacturing processes to increase the efficiency of the process itself as well as the efficient and sustainable use of degrading tools in such manufacturing processes. This study provides an approach to derive different maintenance strategies based on an empirical failure study. Therefore, the failure behavior of a tool was analyzed considering different process conditions in a case study. The failure behavior was modeled using the three-parametric Weibull distribution. The determination of confidence intervals of the parameters of the Weibull distribution as well as the confidence band of the cumulative distribution function enables the determination of maintenance strategies with regard to a certain failure probability. The industrial application example of this case study is the electrowinning process of non-ferrous metals.
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