Realprocess

Realprocess is a term used in various disciplines to denote the actual sequence of events that unfolds when a process is executed, as opposed to its designed model or theoretical specification. It emphasizes what happens in practice rather than what is intended in theory, including deviations, delays, and variability.

In practice, realprocess encompasses timing variations, resource constraints, queuing, rework, scrap, and other unforeseen factors that affect how a process performs. Data for realprocess analysis are typically gathered from sensors, event logs, process journals, and time-stamped records. Analysts compare the realprocess to the designed process model to identify bottlenecks, inefficiencies, and quality issues, with the goal of aligning practice more closely with intent.

Applications appear in manufacturing, where the realprocess may reveal downtime or shift-pattern effects; in software engineering, where it relates to the actual runtime behavior of a system beyond its architectural design; and in business process management, where it supports continuous improvement through as-built observations. Realprocess analysis often incorporates techniques from process mining, statistical process control, and simulation to quantify deviations and forecast outcomes under different conditions.

Limitations include data quality and completeness, inference from partial observations, and the potential ambiguity of the term in contexts where “real” and “model” distinctions are themselves debated. Realprocess is not a universally standardized term, but it is a practical concept used to focus on the observable execution of processes and to drive improvements. Related ideas include real-time processing, as-built processes, and process mining.