Salīdzināt metodes

	Kontrolkarte, kas balstīta uz risku	Vadības diagramma
Nozare	Eksperimentu plānošana	Eksperimentu plānošana
Saime	Process / pipeline	Process / pipeline
Izcelsmes gads	1956 (economic design); refined through 1980s–2000s	1924 (first use); 1931 (seminal book)
Autors	A. J. Duncan (economic design, 1956); T. J. Lorenzen & L. C. Vance (unified economic model, 1986)	Walter A. Shewhart (Bell Labs)
Tips	Quantitative process monitoring method	Statistical monitoring and control technique
Pirmavots	Lorenzen, T. J., & Vance, L. C. (1986). The economic design of control charts: A unified approach. Technometrics, 28(1), 3–10.	Shewhart, W. A. (1931). Economic Control of Quality of Manufactured Product. Van Nostrand.
Citi nosaukumi	economic control chart, risk-integrated SPC, cost-based control chart, economic design of control charts	Shewhart chart, process-behavior chart, SPC chart, quality control chart
Saistītās	6	6
Kopsavilkums	A risk-based control chart extends the classical Shewhart control chart by explicitly incorporating the costs and probabilities of two error types — false alarms (Type I) and missed shifts (Type II) — along with sampling costs, into the design of chart parameters. Rather than using arbitrary 3-sigma limits, the method selects sample size, sampling interval, and control limits to minimise the total expected cost or risk of operating the monitoring scheme.	A control chart is a time-series graph with statistically derived upper and lower control limits that separates the natural, random variation of a process (common cause) from unusual, assignable variation (special cause). Invented by Walter Shewhart at Bell Labs in 1924, control charts remain the foundational tool of Statistical Process Control and are used across manufacturing, healthcare, software, and service industries to monitor whether a process remains stable and predictable over time.