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Controle Estatístico de Processo×Análise de Capacidade de Processo (Cp, Cpk)×
ÁreaDelineamento experimentalEstatística
FamíliaProcess / pipelineProcess / pipeline
Ano de origem1924–19311986
Autor originalWalter A. ShewhartVictor Kane
TipoProcess monitoring and quality control methodQuantitative process evaluation index
Fonte seminalShewhart, W. A. (1931). Economic Control of Quality of Manufactured Product. Van Nostrand. ISBN: 978-0873890762Kane, V. E. (1986). Process capability indices. Journal of Quality Technology, 18(1), 41–52. DOI ↗
Outros nomesSPC, statistical quality control, process control charting, Shewhart controlProcess Capability Indices, Capability Study, Süreç Yeterlilik Analizi, Process Performance Analysis
Relacionados62
ResumoStatistical 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.Process Capability Analysis quantifies how well a manufacturing or business process produces output within specified tolerance limits. Introduced formally by Victor Kane in 1986, it summarises process spread and centering into dimensionless indices — most notably Cp and Cpk — allowing engineers and quality managers to judge whether a stable process is inherently capable of meeting customer or design specifications consistently.
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ScholarGateComparar métodos: Statistical Process Control · Process Capability Analysis. Recuperado em 2026-06-15 de https://scholargate.app/pt/compare