পদ্ধতির তুলনা করুন

	বেয়েশীয় প্রক্রিয়া সক্ষমতা বিশ্লেষণ	Six Sigma DMAIC
ক্ষেত্র	পরীক্ষামূলক নকশা	মান ব্যবস্থাপনা
পরিবার	Process / pipeline	Process / pipeline
উদ্ভবের বছর	Classical PCA: 1986; Bayesian extensions: 1990s–2000s	2014
প্রবর্তক	Bayesian extensions developed by multiple authors including Bernardo, Smith, and Vannman; classical PCA by Juran and Kane (1986)	Motorola; Pyzdek & Keller
ধরন	Bayesian statistical quality method	Structured process improvement methodology
মৌলিক উৎস	Kotz, S., & Johnson, N. L. (2002). Process Capability Indices — A Review, 1992–2000. Journal of Quality Technology, 34(1), 2–19.	Pyzdek, T., & Keller, P. (2014). The Six Sigma Handbook (4th ed.). McGraw-Hill. ISBN: 978-0-07-184053-9
অপর নাম	Bayesian PCA, Bayesian capability indices, Bayesian Cp/Cpk estimation, Bayesian process performance analysis	DMAIC Framework, Six Sigma Process Improvement Cycle, Define-Measure-Analyze-Improve-Control, Altı Sigma DMAIC
সম্পর্কিত	5	3
সারসংক্ষেপ	Bayesian Process Capability Analysis integrates Bayesian inference with classical capability indices (Cp, Cpk, Cpm) to estimate how well a production process meets specification limits. Rather than relying solely on observed sample data, it incorporates prior knowledge about process parameters — yielding more stable and credible estimates of process capability, especially under small sample sizes common in manufacturing and quality engineering.	Six Sigma DMAIC is a data-driven, five-phase process improvement methodology — Define, Measure, Analyze, Improve, and Control — used to reduce defects and process variation to fewer than 3.4 defects per million opportunities. Originating at Motorola in the 1980s and systematized by practitioners including Pyzdek and Keller, it is widely adopted in manufacturing, healthcare, finance, and service industries seeking sustained quality gains.