Goal: Predict Workload in the Laboratory
The »Art of Guessing«, the basis of stochastics, accordingly characterizes the work in this environment. On behalf of a pharmaceutical company, the team at Fraunhofer ITWM is looking for mathematical solutions to make the entire process, up to and including personnel scheduling, more predictable. If there were no uncertainties, the researchers could calculate the arrival of samples individually and determine the workload generated by the clinical trial.
The daily workload of those who process the samples is often uncertain because it depends on the number of incoming samples, some of which have to be processed within a certain period of time due to their shelf life. The more accurately it is predicted how many samples will arrive and when, the better the workload in the laboratory can be planned. The team led by Dr. Sandy Heydrich and Dr. Heiner Ackermann aims to use a mathematical model to provide answers to many questions, such as: Is the current staff sufficient for the workload that will arise?