Siemens: Acting Resiliently Through Hybrid Process Intelligence in the Supply Chain Metaverse

In the face of disruptions like COVID-19, the Ukraine conflict, or the Suez Canal blockage, Siemens Supply Chain Management is encountering various challenges. The ability to withstand such supply chain disturbances, has evolved into a competitive edge, highlighting the growing importance of supply chain resilience. The strategic component of Supply Chain Management changes. The strategic ability to successfully manage supply chains, therefore needs to be rethought. Shorter product life-cycles and times between disruptions, require a high-level of proactivity. Integrating process intelligence and artificial intelligence into supply chain operations, holds promise that both can play a crucial role in improving resilience. This chapter presents the Siemens cycle of resilience concept, that is based on both human and artificial intelligence. We show four process intelligence approaches in terms of (1) incident management, (2) crisis control, (3) agile recovery, and (4) supply chain design, where the combination of human and artificial intelligences helps us to improve supply chain resilience. We show technology- and people-related success factors, e.g., data connectivity or change management, which turned out to be crucial when implementing such approaches. This cycle of resilience concept marks a decisive step towards our mission of a supply chain metaverse.