পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| সিমুলেশন-সহায়ক পরিসংখ্যানগত প্রক্রিয়া নিয়ন্ত্রণ× | Six Sigma DMAIC× | |
|---|---|---|
| ক্ষেত্র≠ | পরীক্ষামূলক নকশা | মান ব্যবস্থাপনা |
| পরিবার | Process / pipeline | Process / pipeline |
| উদ্ভবের বছর≠ | 1980s–present | 2014 |
| প্রবর্তক≠ | Walter A. Shewhart (SPC foundations); simulation integration developed through industrial engineering literature from the 1980s onward | Motorola; Pyzdek & Keller |
| ধরন≠ | Hybrid quantitative method | Structured process improvement methodology |
| মৌলিক উৎস≠ | Montgomery, D. C. (2009). Introduction to Statistical Quality Control (6th ed.). Wiley. ISBN: 978-0470169926 | Pyzdek, T., & Keller, P. (2014). The Six Sigma Handbook (4th ed.). McGraw-Hill. ISBN: 978-0-07-184053-9 |
| অপর নাম | Simulation-based SPC, Monte Carlo SPC, SA-SPC, Simulation-integrated SPC | DMAIC Framework, Six Sigma Process Improvement Cycle, Define-Measure-Analyze-Improve-Control, Altı Sigma DMAIC |
| সম্পর্কিত≠ | 6 | 3 |
| সারসংক্ষেপ≠ | Simulation-assisted statistical process control (SA-SPC) combines computer simulation — typically Monte Carlo or discrete-event simulation — with classical SPC methods to design, test, and calibrate control charts and monitoring schemes before or alongside deployment on a real production process. Rather than relying solely on closed-form analytical assumptions, SA-SPC uses simulated data to evaluate chart performance under realistic, often non-normal process conditions. | 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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