The measurement of supply chain resilience remains fragmented, with a wide range of performance indicators proposed across the literature under varying terminologies and scopes. This lack of consolidation hinders comparability and challenges the development of consistent measurement frameworks. Addressing this gap, this paper presents a capability-based classification of resilience-related key performance indicators (KPIs), synthesizing indicators identified through a structured literature review. The study consolidates 37 distinct KPIs and maps them across six resilience capabilities: Redundancy, Flexibility, Velocity, Awareness & Alertness, Collaboration, and Visibility. A two-step classification process was applied, involving independent evaluation by two researchers followed by a consensus round to ensure alignment and mitigate bias. The results highlight the uneven distribution of KPIs across capabilities, with a notable concentration in Awareness & Alertness and Visibility, while dimensions like Collaboration and Velocity remain underrepresented. The analysis also identifies multi-capability KPIs that may act as integrators across resilience dimensions, offering potential for leaner and more efficient measurement systems. These findings contribute to the ongoing discussion on resilience assessment by providing a structured view of the current measurement landscape and outlining research directions for KPI validation, prioritization, and capability alignment. Although not limited to any specific production model, the classification may support the design of measurement systems in emerging manufacturing approaches such as Manufacturing-as-a-Service.