From data to insights : An advice to improve the capacity planning of temporary employees at CEVA Logistics Benelux

This research is executed at CEVA Logistics Benelux, they are a logistic service provider with multiple warehouses across The Netherlands. Currently the warehouses facing a high outflow rate of temporary workers. The assumption is that receiving less work than desired is one of the major causes of the high outflow rate. Therefore, the purpose of this thesis is to improve the capacity planning of temporary employees. One model is made that provides the expected outflow rate, given the overcapacity rate. Another model provides an advice if the current available data is the right data to perform a forecast on. The result of these models is that the outflow rate of temporary employees can be reduced by keeping the overcapacity rate within 15%, given that the three months ahead forecast error (MAPE) is no more than 9%.