Abstract:Volumetric throughput at the carbonatation filters at Malalane white sugar refinery was identified as a bottleneck. Scheduling filter cleaning was found to be one of the major concerns. The maximisation of the throughput via scheduling was approached by data integration and modelling. Linear regressions of the process parameters were implemented in volume space, which allows for the prediction of the remaining run duration of each filter. These predictions are continually used as an input to an algorithm that … Show more
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