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| 全面生产维护× | 装配线平衡× | |
|---|---|---|
| 领域 | 运营管理 | 运营管理 |
| 方法族 | Machine learning | Machine learning |
| 起源年份≠ | 1988 | 2010 |
| 提出者≠ | Seiichi Nakajima | Scholl, A. |
| 类型≠ | Maintenance and productivity system | Optimization problem |
| 开创性文献≠ | Nakajima, S. (1988). Introduction to TPM: Total Productive Maintenance. Cambridge, MA: Productivity Press. link ↗ | Scholl, A. (2010). Balancing and sequencing of assembly lines. Physica-Verlag. link ↗ |
| 别名≠ | TPM | line balancing, workload balancing |
| 相关 | 5 | 5 |
| 摘要≠ | 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. | Assembly Line Balancing is the problem of distributing a sequence of assembly tasks across a series of workstations on a production line such that work is evenly distributed, idle time is minimized, and throughput constraints are satisfied. The goal is to assign tasks to stations such that the total work time at each station is as equal as possible, optimizing for production rate (cycle time) and resource utilization. This is a classic optimization problem in manufacturing, solved through heuristic and exact algorithms, essential to the efficiency of mass production systems. |
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