SPCProjekten

SPCProjekten is a framework for applying statistical process control to project work. It combines project management practices with SPC techniques to improve predictability, quality, and efficiency in projects characterized by repeating tasks, variable durations, or complex handoffs.

Core components include a data collection plan, control charts to monitor performance (such as X-bar, R, or attribute charts), run charts for visibility of trends, and process capability analysis to assess the inherent variation of critical activities. Projects use these tools to detect assignable causes, distinguish common-cause variation, and guide corrective actions within PDCA cycles.

Implementation typically begins with defining objective metrics and sampling rules, then establishing data governance and alert thresholds. A project team identifies roles such as SPC champion, process owner, and project manager who coordinate data collection, chart interpretation, and escalation. Tools range from spreadsheets to specialized SPC software.

Applications span manufacturing, construction, engineering, logistics, and software development, wherever project tasks exhibit measurable variability. Benefits include earlier detection of deviations, improved forecasting of completion and cost, and more evidence-based decision making. Limitations involve data quality requirements, overhead for maintenance, and potential tension with agile workflows if not carefully integrated.

SPCProjekten is not a standardized method; it represents a family of practices that organizations adapt to their context, drawing on traditional SPC wisdom while aligning with project goals and governance structures.