procesanalyses

Procesanalyses is the systematic study of processes to understand how work is performed, identify inefficiencies, and support improvement. It encompasses documenting, measuring, and redesigning processes across organizations and industries, with the aim of delivering greater value to customers while reducing waste, variation, and cost.

Common techniques include process mapping (flowcharts and BPMN), SIPOC diagrams, and value stream mapping, as well as process mining, which uses event data to reconstruct actual process flows. Quantitative methods such as time studies, statistical process control, and simulation help assess how changes influence performance. Root cause analysis, including the 5 Whys and fishbone diagrams, is used to identify underlying problems. Improvement efforts often combine Lean, Six Sigma, and process redesign approaches.

Typical outputs are process descriptions, performance metrics (cycle time, lead time, throughput, yield, defect rate, and cost per unit), and a plan for changes. The standard workflow involves scoping, data collection, modeling current and future states, conducting analysis, designing countermeasures, implementing changes, and monitoring results. Success depends on data quality and cross-functional collaboration.

Procesanalyses is applied in manufacturing, logistics, healthcare, software development, and public services. It supports compliance, automation decisions, and alignment of operations with strategic goals. It also complements broader disciplines such as business process management and continuous improvement, and is aided by software tools for process modeling and mining.

Challenges include limited data availability, dynamic or complex processes, organizational resistance to change, and sustaining improvements over time.