rate of locomotive under repair

简明释义

机车检修率

英英释义

例句

1.To improve efficiency, the company needs to reduce the rate of locomotive under repair during peak seasons.

为了提高效率，公司需要在高峰季节减少正在维修的机车比率。

2.Management is concerned about the rate of locomotive under repair affecting delivery schedules.

管理层担心正在维修的机车比率会影响交付时间表。

3.The rate of locomotive under repair has increased by 15% this quarter compared to the last.

与上季度相比，本季度正在维修的机车比率增加了15%。

4.The maintenance team reported a high rate of locomotive under repair due to the aging fleet.

维修团队报告说，由于老旧车队，正在维修的机车比率很高。

5.A lower rate of locomotive under repair indicates better overall maintenance practices.

较低的正在维修的机车比率表明更好的整体维护实践。

作文

In the railway industry, efficiency and reliability are paramount. One of the critical metrics used to assess the operational effectiveness of a railway system is the rate of locomotive under repair. This term refers to the proportion of locomotives that are currently undergoing maintenance or repairs compared to the total number of locomotives in service. Understanding this rate is essential for railway companies as it directly impacts their ability to meet transportation demands and maintain schedules.A high rate of locomotive under repair can indicate potential issues within the maintenance processes or an aging fleet that requires more frequent repairs. For instance, if a railway company has a fleet of 100 locomotives and 20 of them are under repair, the rate of locomotive under repair would be 20%. This means that 20% of the fleet is unavailable for service, which could lead to delays in train schedules and reduced capacity to transport goods and passengers.Conversely, a low rate of locomotive under repair suggests that a railway company is effectively maintaining its fleet, allowing for optimal operation and minimal disruptions. Companies strive to achieve a balance where the rate of locomotive under repair is kept at a manageable level, ensuring that maintenance is performed regularly without causing significant downtime.To improve the rate of locomotive under repair, many railway companies invest in predictive maintenance technologies. These technologies use data analytics and machine learning to predict when a locomotive might need repairs before it actually breaks down. By addressing maintenance needs proactively, companies can reduce the number of locomotives out of service at any given time, thereby improving their overall rate of locomotive under repair.Additionally, training and workforce management play crucial roles in maintaining a healthy rate of locomotive under repair. Skilled technicians who are well-trained in the latest repair techniques can perform maintenance more efficiently, reducing the time each locomotive spends in the shop. Furthermore, effective scheduling of maintenance activities can help ensure that locomotives are serviced during off-peak times, minimizing the impact on operations.Another aspect to consider is the age of the locomotives in service. Older locomotives tend to require more frequent repairs, which can increase the rate of locomotive under repair. Therefore, some companies may choose to modernize their fleets by investing in newer models that are designed for better reliability and lower maintenance needs. This strategic decision can significantly enhance the overall performance of the railway system and lower the rate of locomotive under repair.In conclusion, the rate of locomotive under repair is a vital indicator of a railway company's operational health. By monitoring and managing this rate effectively, companies can ensure they provide reliable service to their customers while optimizing their resources. Continuous improvement in maintenance practices, investment in technology, and workforce training are all essential strategies that can contribute to a favorable rate of locomotive under repair. Ultimately, a lower rate not only enhances operational efficiency but also leads to greater customer satisfaction in the competitive railway industry.

在铁路行业中，效率和可靠性至关重要。评估铁路系统运营有效性的关键指标之一是正在维修的机车比率。这个术语指的是当前正在进行维护或修理的机车数量与在役机车总数的比例。理解这个比率对于铁路公司至关重要，因为它直接影响到他们满足运输需求和保持时刻表的能力。较高的正在维修的机车比率可能表明维护过程存在潜在问题或老旧车队需要更频繁的维修。例如，如果一家铁路公司拥有100台机车，其中20台正在维修，那么正在维修的机车比率将为20%。这意味着20%的车队无法投入服务，这可能导致列车时刻延误和运输能力下降。相反，较低的正在维修的机车比率则表明铁路公司有效地维护其车队，使其能够实现最佳运营并最小化干扰。公司努力实现平衡，将正在维修的机车比率保持在可管理的水平，确保定期进行维护而不会造成显著的停机时间。为了改善正在维修的机车比率，许多铁路公司投资于预测性维护技术。这些技术利用数据分析和机器学习来预测机车何时需要维修，而不是在实际故障之前。通过主动解决维护需求，公司可以减少任何给定时间内处于维修状态的机车数量，从而改善整体正在维修的机车比率。此外，培训和人力资源管理在维持健康的正在维修的机车比率中也发挥着至关重要的作用。经过良好培训的技术人员掌握最新的维修技术，可以更高效地进行维护，减少每台机车在维修中的时间。此外，有效安排维护活动可以帮助确保机车在非高峰时段进行服务，最大限度地减少对运营的影响。另一个需要考虑的方面是服役机车的年龄。老旧机车往往需要更频繁的维修，这可能会增加正在维修的机车比率。因此，一些公司可能选择通过投资更新型号来现代化其车队，这些新型号设计上更可靠，维护需求更低。这一战略决策可以显著提升铁路系统的整体性能，并降低正在维修的机车比率。总之，正在维修的机车比率是铁路公司运营健康的重要指标。通过有效监控和管理这一比率，公司可以确保向客户提供可靠的服务，同时优化其资源。持续改善维护实践、投资技术和培训员工都是有助于实现良好正在维修的机车比率的关键策略。最终，较低的比率不仅提高了运营效率，还在竞争激烈的铁路行业中带来了更高的客户满意度。