The optimization of capacity utilization with a fuzzy decision support model

The assembly of cars is a production process, regulation of which depends on a series of disturbances and fluctuations that often arise in such processes. The assembly is carried out at various assembly stations connected in series, where specialized teams of workers are occupied. Depending on the model variant, each model that passes the assembly area creates a different workload at the individual assembly stations. The order of the model transport into the assembly area is very important for the degree of utilization of capacity at the assembly stations. The problem is to fix the order in such a way that the utilization of capacity is as constant as possible and as near to 100% as possible, in order to guarantee a cost-saving assembly regarding long-termed production plans. The paper presents an industrial used application of a fuzzy decision support model to the supervision of capacity optimization in the assembly process of cars.