পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| পরিসংখ্যানিক প্রক্রিয়া নিয়ন্ত্রণ× | কন্ট্রোল চার্ট× | |
|---|---|---|
| ক্ষেত্র | পরীক্ষামূলক নকশা | পরীক্ষামূলক নকশা |
| পরিবার | Process / pipeline | Process / pipeline |
| উদ্ভবের বছর≠ | 1924–1931 | 1924 (first use); 1931 (seminal book) |
| প্রবর্তক≠ | Walter A. Shewhart | Walter A. Shewhart (Bell Labs) |
| ধরন≠ | Process monitoring and quality control method | Statistical monitoring and control technique |
| মৌলিক উৎস | Shewhart, W. A. (1931). Economic Control of Quality of Manufactured Product. Van Nostrand. ISBN: 978-0873890762 | Shewhart, W. A. (1931). Economic Control of Quality of Manufactured Product. Van Nostrand. link ↗ |
| অপর নাম | SPC, statistical quality control, process control charting, Shewhart control | Shewhart chart, process-behavior chart, SPC chart, quality control chart |
| সম্পর্কিত | 6 | 6 |
| সারসংক্ষেপ≠ | Statistical 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. | A control chart is a time-series graph with statistically derived upper and lower control limits that separates the natural, random variation of a process (common cause) from unusual, assignable variation (special cause). Invented by Walter Shewhart at Bell Labs in 1924, control charts remain the foundational tool of Statistical Process Control and are used across manufacturing, healthcare, software, and service industries to monitor whether a process remains stable and predictable over time. |
| ScholarGateডেটাসেট ↗ |
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