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Kiểm soát quá trình bằng thống kê×Phân tích Chế độ và Ảnh hưởng Thất bại (FMEA)×
Lĩnh vựcThiết kế thí nghiệmThiết kế thí nghiệm
HọProcess / pipelineProcess / pipeline
Năm ra đời1924–19311949 (military); widespread industrial adoption 1970s–1980s
Người khởi xướngWalter A. ShewhartU.S. Military / NASA (formalized by MIL-P-1629, 1949)
LoạiProcess monitoring and quality control methodProactive risk analysis technique
Công trình gốcShewhart, W. A. (1931). Economic Control of Quality of Manufactured Product. Van Nostrand. ISBN: 978-0873890762Stamatis, D. H. (2003). Failure Mode and Effect Analysis: FMEA from Theory to Execution (2nd ed.). ASQ Quality Press. ISBN: 978-0873895989
Tên gọi khácSPC, statistical quality control, process control charting, Shewhart controlFMEA, Failure Modes and Effects Analysis, FMECA, Failure Mode Effects and Criticality Analysis
Liên quan66
Tóm tắtStatistical 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.Failure Mode and Effects Analysis (FMEA) is a structured, proactive risk management technique used to identify potential failure modes in a system, process, or product design, evaluate their consequences, and prioritize corrective actions before failures occur. Originally developed for the U.S. military in 1949 and later adopted by NASA, automotive, and manufacturing industries, FMEA is now a cornerstone quality-engineering tool embedded in standards such as AIAG-VDA and ISO 9001-aligned processes.
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ScholarGateSo sánh phương pháp: Statistical Process Control · Failure Mode and Effects Analysis. Truy cập ngày 2026-06-17 từ https://scholargate.app/vi/compare