Produktionsdata

Produktionsdata, a term used in manufacturing contexts, refers to the measurements, events, and attributes generated during a production process. In German, the term is Produktionsdaten. These data capture what happens on the shop floor, including machine states, process parameters, cycle times, throughput, yields, quality measurements, downtime, and energy consumption.

They are typically collected from sources such as Manufacturing Execution Systems (MES), SCADA and PLC networks, ERP systems, IoT sensors, and quality control devices, and can be real-time time-series streams or batch records. Metadata such as timestamps, batch IDs, lot numbers, and operator information may accompany the data.

Uses of these data include monitoring and control of production, performance analysis, quality management, traceability and compliance, predictive maintenance, and optimization of scheduling and workflows. They enable methods such as statistical process control (SPC), root-cause analysis, and data-driven decision making. Interoperability is supported by standards and protocols such as OPC UA, MTConnect, and the ISA-95 framework, which facilitate data exchange between equipment, control systems, and enterprise software.

Data-management practices for produksjonsdata focus on collection, cleansing, normalization, storage, lineage, governance, and security to protect sensitive production information. Challenges include data silos, heterogeneous data formats, data quality issues, high volume and velocity, and the need for skilled analytics. Trends influencing produksjonsdata use include digital twins, advanced analytics, cloud-enabled processing, and edge computing to reduce latency. In practice, produksjonsdata underpin operations across industries from electronics and automotive to food and pharmaceuticals, enabling more efficient, transparent, and resilient production.