Salīdzināt metodes

	Risk-based failure mode and effects analysis	Statistiskā procesa vadība
Nozare	Eksperimentu plānošana	Eksperimentu plānošana
Saime	Process / pipeline	Process / pipeline
Izcelsmes gads	1949 (FMEA origins); risk-prioritised RPN framework circa 1977–1980s (AIAG automotive)	1924–1931
Autors	U.S. Department of Defense / MIL-STD-1629A; formalised in IEC 60812	Walter A. Shewhart
Tips	Quantitative risk-prioritisation technique	Process monitoring and quality control method
Pirmavots	International Electrotechnical Commission. (2018). IEC 60812:2018 — Failure modes and effects analysis (FMEA and FMECA). IEC.	Shewhart, W. A. (1931). Economic Control of Quality of Manufactured Product. Van Nostrand. ISBN: 978-0873890762
Citi nosaukumi	RBFMEA, Risk-based FMEA, Risk-prioritised FMEA, Quantitative FMEA	SPC, statistical quality control, process control charting, Shewhart control
Saistītās	6	6
Kopsavilkums	Risk-based failure mode and effects analysis (RBFMEA) is a structured engineering technique that identifies every way a system or process can fail, assesses the risk of each failure mode using a numerical Risk Priority Number (RPN = Occurrence × Severity × Detectability), and prioritises corrective actions accordingly. Rooted in MIL-STD-1629A and standardised in IEC 60812:2018, it is the dominant proactive reliability and safety tool in aerospace, automotive, pharmaceutical, and manufacturing industries.	Statistical Process Control (SPC) is a data-driven quality method that uses statistical techniques — primarily control charts — to monitor a manufacturing or service process over time. By distinguishing natural process variation (common cause) from unusual, actionable variation (special cause), SPC enables practitioners to maintain processes in a stable, predictable state and to detect problems early, before defective output reaches customers.