BUSINESS & “INDUSTRY 4.0”
STRATEGY FOR THE DIAGNOSIS AND PREDICTION OF MACHINE FAILURES FOR DEVELOPING AVAILABILITY-ORIENTED BUSINESS MODELS IN CAPITAL GOODS
Customers demand a guaranteed availability of machine components in capital goods industry. However, manufacturers are not willing to guarantee the demanded availability due to increasing costs based on high risks and uncertainties resulting from missing operational data, insufficient transparency of the machine condition as well as missing information of the customer behavior. In the following paper, a strategy to enable the development of availability-oriented Product-Service Systems (PSS) will be presented. Therefore, a use case focusing on the agricultural industry is regarded. Based on the use case, service-relevant parts will be identified and failure mechanisms of these parts will be determined. The subsequent development of condition monitoring strategies depend on the determined failure mechanisms. In a last step, the strategies will be assessed and the strategy with the highest added value will be chosen for an exemplary implementation, for which an electric motor and a conveyor belt of a potato harvester will be used.