Uncertainties and disruptions across value chains, from supply chains to shopfloor resources, significantly impact production systems. Addressing these challenges requires manufacturing systems that are both resilient and reconfigurable to maintain robust and flexible operations. This work presents a conceptual framework to improve the resilience and reconfiguration capabilities of manufacturing systems at the machine level. The resilience quantification and reconfiguration support are enabled by dataspaces and the Asset Administration Shell (AAS). The goal is to facilitate shopfloor workers in measuring resilience and implementing reconfiguration strategies effectively in response to disruptions. This framework is designed with the focus on progressive forming press machines potentially supporting digital manufacturing. The findings reveal the possibility for production systems to be adaptable and robust. Future work will focus on implementation and evaluation of the proposed framework and scaling it to other manufacturing processes.