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| Bảo trì Năng suất Toàn diện× | Sơ đồ Khối Độ tin cậy× | |
|---|---|---|
| Lĩnh vực | Quản trị vận hành | Quản trị vận hành |
| Họ | Machine learning | Machine learning |
| Năm ra đời≠ | 1988 | 2010 |
| Người khởi xướng≠ | Seiichi Nakajima | Ebeling, C. E. |
| Loại≠ | Maintenance and productivity system | Reliability analysis technique |
| Công trình gốc≠ | Nakajima, S. (1988). Introduction to TPM: Total Productive Maintenance. Cambridge, MA: Productivity Press. link ↗ | Ebeling, C. E. (2010). An introduction to reliability and maintainability engineering (2nd ed.). Long Grove, IL: Waveland Press. link ↗ |
| Tên gọi khác≠ | TPM | RBD, reliability analysis |
| Liên quan | 5 | 5 |
| Tóm tắt≠ | Total Productive Maintenance (TPM) is a comprehensive maintenance management approach developed by Seiichi Nakajima in the late 1980s that emphasizes employee involvement, preventive maintenance, and continuous improvement to maximize equipment effectiveness. Unlike traditional reactive maintenance, TPM integrates maintenance activities across all organizational levels—from operators to executives—and focuses on eliminating losses (downtime, defects, speed losses) to achieve sustained production efficiency, quality, and safety. | A Reliability Block Diagram (RBD) is a visual representation of a system's architecture that models how component reliabilities combine to determine overall system reliability. Each block represents a component or subsystem with a known reliability (probability of functioning without failure), and connections between blocks represent functional relationships (series, parallel, or mixed). RBD analysis is a fundamental tool in reliability engineering, used to identify critical components, optimize redundancy, and predict system-level failure rates. |
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