ScholarGate
어시스턴트

방법 비교

선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.

계수형 관리도 (p, np, c, u)×EWMA 관리도×
분야통계학통계학
계열Process / pipelineProcess / pipeline
기원 연도19311959
창시자Walter A. ShewhartS. W. Roberts
유형Statistical process control charts for count/proportion dataStatistical process control chart for small shifts
원전Shewhart, W. A. (1931). Economic Control of Quality of Manufactured Product. D. Van Nostrand Company. ISBN: 978-0-87389-076-2Roberts, S. W. (1959). Control chart tests based on geometric moving averages. Technometrics, 1(3), 239–250. DOI ↗
별칭p-chart, np-chart, c-chart, u-chartexponentially weighted moving average chart, EWMA control chart, geometric moving average chart, EWMA kontrol kartı
관련43
요약Attributes control charts extend Shewhart's framework to count and proportion data — quality characteristics that are classified rather than measured. The p- and np-charts monitor the proportion or number of defective items using the binomial distribution, while the c- and u-charts monitor the number of defects per unit using the Poisson distribution. They are the standard statistical-process-control tools when inspection yields pass/fail or defect counts rather than continuous measurements.The exponentially weighted moving average (EWMA) control chart, introduced by S. W. Roberts in 1959, monitors a process using a weighted average that gives the most recent observation the greatest weight while letting older observations fade geometrically. Like CUSUM, this memory makes it highly effective at detecting small, sustained shifts in the process mean, with a single smoothing parameter λ controlling how much past information the chart retains.
ScholarGate데이터셋
  1. v1
  2. 2 출처
  3. PUBLISHED
  1. v1
  2. 2 출처
  3. PUBLISHED

검색으로 이동 슬라이드 다운로드

ScholarGate방법 비교: Attributes Control Chart · EWMA Chart. 2026-06-15에 다음에서 검색함: https://scholargate.app/ko/compare