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منهجية DMAIC في سيكس سيجما المدعومة بالتحسين×منهجية DMAIC في الستة سيجما×
المجالالتصميم التجريبيإدارة الجودة
العائلةProcess / pipelineProcess / pipeline
سنة النشأة1990s–2000s (integration period)2014
صاحب الطريقةSix Sigma: Motorola (Bill Smith, Mikel Harry, 1986); optimization integration formalized in engineering literature through the 1990s–2000sMotorola; Pyzdek & Keller
النوعProcess improvement framework with embedded optimizationStructured process improvement methodology
المصدر التأسيسيAntony, J., & Banuelas, R. (2002). Key ingredients for the effective implementation of Six Sigma program. Measuring Business Excellence, 6(4), 20-27. link ↗Pyzdek, T., & Keller, P. (2014). The Six Sigma Handbook (4th ed.). McGraw-Hill. ISBN: 978-0-07-184053-9
الأسماء البديلةOptimization-integrated DMAIC, DMAIC with optimization, Six Sigma optimization framework, Opt-DMAICDMAIC Framework, Six Sigma Process Improvement Cycle, Define-Measure-Analyze-Improve-Control, Altı Sigma DMAIC
ذات صلة53
الملخصOptimization-assisted Six Sigma DMAIC embeds formal mathematical optimization — response surface methods, metaheuristics, or multi-objective solvers — into the Improve phase of the DMAIC cycle. Rather than relying solely on engineering judgment or one-factor-at-a-time trials, the approach uses designed experiments to build a predictive model of the process and then applies an optimization algorithm to locate factor settings that best satisfy quality, cost, or multiple competing performance targets simultaneously.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.
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ScholarGateقارن الطرق: Optimization-assisted Six Sigma DMAIC · Six Sigma DMAIC. استُرجع بتاريخ 2026-06-19 من https://scholargate.app/ar/compare