Abstract: A product may be provided with a product sensor, thus making it possible to determine, together with the product, data relating to a system or a machine with the aid of the product sensor. The data determined can be used to diagnose and/or control the system or machine. In this case, it is advantageous that the data are obtained at the location of the product and it is thus possible to directly determine a desirable or undesirable effect (for example of environmental parameters or of the system itself) on the product. This system can be used, for example, in automation, in systems or machines or in different product manufacture variants.

Abstract: First inter-organizational tracking & tracing systems facilitate timely identification and handling of disruptions along the supply chain. However, these systems typically operate at supply chain management (SCM) and enterprise resource planning system (ERP) level and therefore lack knowledge and control over production processes. The idea is to bridge the gap between logistics and production IT by proposing a novel architecture for coupling the manufacturing operations as defined in IEC 62264 with an EPCIS-compliant real-time tracking & tracing system. The system leverages logic-based complex event processing for detecting critical disruptions in the supply chain and initiates rescheduling of production. It is shown that in the presence of unexpected events the rescheduling algorithm minimizes delays and inventory costs while avoiding <<nervous schedules>> caused by frequent changes.

Abstract: A product may be provided with a product sensor, thus making it possible to determine, together with the product, data relating to a system or a machine with the aid of the product sensor. The data determined can be used to diagnose and/or control the system or machine. In this case, it is advantageous that the data are obtained at the location of the product and it is thus possible to directly determine a desirable or undesirable effect (for example of environmental parameters or of the system itself) on the product. This system can be used, for example, in automation, in systems or machines or in different product manufacture variants.

Abstract: First inter-organizational tracking & tracing systems facilitate timely identification and handling of disruptions along the supply chain. However, these systems typically operate at supply chain management (SCM) and enterprise resource planning system (ERP) level and therefore lack knowledge and control over production processes. The idea is to bridge the gap between logistics and production IT by proposing a novel architecture for coupling the manufacturing operations as defined in IEC 62264 with an EPCIS-compliant real-time tracking & tracing system. The system leverages logic-based complex event processing for detecting critical disruptions in the supply chain and initiates rescheduling of production. It is shown that in the presence of unexpected events the rescheduling algorithm minimizes delays and inventory costs while avoiding <<nervous schedules>> caused by frequent changes.