Uncertainties and disruptions across value chains, spanning from supply chain to shopfloor at resource level, highly affect production. To ensure robust and flexible production, resilient and reconfigurable manufacturing systems are required. The work presents a service for the resource level, in this case multi-stage forming tools, which recognize fault situations and suggest actions for reconfiguration to the operator in order to react appropriately to the situation. The methods behind the service are fuzzy logic and case-based reasoning. The utilisation of machine and sensor data, in conjunction with expert knowledge, which will be employed in the construction of membership functions, fuzzy rules and case-based-reasoning (CBR), facilitates the early detection, identification and removal of faults in the production process. The performance of the service is quantified using a benchmark. In addition, an outlook is given on the effects of the applied method on robustness and flexibility of the manufacturing system.