mean time between rejections

简明释义

平均修理间隔时间

英英释义

例句

1.A shorter mean time between rejections indicates a more efficient production process.

更短的拒绝之间的平均时间表明生产过程更高效。

2.Our goal is to reduce the mean time between rejections from three days to one day.

我们的目标是将拒绝之间的平均时间从三天减少到一天。

3.The software update aims to increase the mean time between rejections for our application.

软件更新旨在增加我们应用程序的拒绝之间的平均时间。

4.By analyzing the mean time between rejections, we can identify bottlenecks in our workflow.

通过分析拒绝之间的平均时间，我们可以识别工作流程中的瓶颈。

5.The engineering team is focused on improving the mean time between rejections to enhance product quality.

工程团队专注于提高拒绝之间的平均时间以提升产品质量。

作文

In the realm of project management and quality control, the term mean time between rejections refers to the average duration that elapses between instances of product or service rejection. This metric is crucial for organizations aiming to enhance their operational efficiency and improve customer satisfaction. By analyzing the mean time between rejections, companies can identify patterns in their processes that lead to failures or defects, allowing them to implement corrective measures effectively.To better understand the significance of mean time between rejections, let’s consider a manufacturing company that produces electronic components. If this company experiences frequent rejections of its products due to quality issues, it will not only face financial losses but also damage its reputation in the market. By calculating the mean time between rejections, the company can assess how often these failures occur and develop strategies to minimize them.For example, if the mean time between rejections is found to be quite low, it indicates that the production process is plagued with consistent issues. The management might decide to invest in better training for employees, upgrade machinery, or enhance quality control measures. Conversely, a high mean time between rejections suggests that while rejections do occur, they are infrequent, which could indicate a more stable production process.Moreover, the mean time between rejections can serve as a benchmark for improvement over time. By tracking this metric regularly, organizations can set goals for reducing the frequency of rejections. For instance, if a company sets a target to increase the mean time between rejections from two weeks to four weeks, it can implement specific initiatives aimed at improving product quality, such as conducting more rigorous testing or adopting lean manufacturing principles.In addition to its application in manufacturing, the concept of mean time between rejections can also be relevant in software development. In this context, the term may refer to the average time taken to reject software features or updates based on user feedback or testing outcomes. Software teams can analyze the mean time between rejections to understand how quickly they are able to respond to problems and make necessary adjustments, ultimately leading to a more refined product.Furthermore, understanding the mean time between rejections can contribute to better resource allocation. If a team knows that certain stages of their workflow tend to result in higher rejection rates, they can allocate more resources or focus on those areas to ensure smoother operations. This proactive approach helps in maintaining a steady workflow and enhances overall productivity.In conclusion, the mean time between rejections is a vital metric that organizations should monitor closely. Whether in manufacturing, software development, or any other field, understanding and improving this metric can lead to significant benefits. It allows companies to enhance their processes, reduce waste, and ultimately provide better products and services to their customers. Thus, by focusing on increasing the mean time between rejections, businesses can foster a culture of continuous improvement and strive for excellence in their operations.

在项目管理和质量控制领域，术语拒绝之间的平均时间指的是产品或服务被拒绝的实例之间所经过的平均时间。这个指标对于旨在提高运营效率和改善客户满意度的组织至关重要。通过分析拒绝之间的平均时间，公司可以识别导致失败或缺陷的过程模式，从而有效地实施纠正措施。为了更好地理解拒绝之间的平均时间的重要性，让我们考虑一家生产电子元件的制造公司。如果这家公司由于质量问题频繁拒绝其产品，它不仅会面临财务损失，还会损害其在市场上的声誉。通过计算拒绝之间的平均时间，公司可以评估这些失败发生的频率，并制定减少这些失败的策略。例如，如果发现拒绝之间的平均时间相当低，这表明生产过程中存在持续性问题。管理层可能决定投资于员工的更好培训、升级机械设备或增强质量控制措施。相反，高拒绝之间的平均时间表明虽然会发生拒绝，但它们是偶发的，这可能表明生产过程更加稳定。此外，拒绝之间的平均时间还可以作为改进的基准。通过定期跟踪这一指标，组织可以设定减少拒绝频率的目标。例如，如果一家公司设定将拒绝之间的平均时间从两周增加到四周的目标，它可以实施特定的举措来改善产品质量，例如进行更严格的测试或采用精益生产原则。除了在制造中的应用外，拒绝之间的平均时间的概念在软件开发中也同样相关。在这种情况下，该术语可能指的是根据用户反馈或测试结果拒绝软件功能或更新的平均时间。软件团队可以分析拒绝之间的平均时间以了解他们能够多快响应问题并进行必要的调整，从而最终导致更精致的产品。此外，理解拒绝之间的平均时间可以有助于更好的资源分配。如果一个团队知道他们工作流程中的某些阶段往往会导致更高的拒绝率，他们可以在这些领域分配更多资源或集中精力，以确保操作顺利进行。这种前瞻性的方法有助于保持稳定的工作流程，并提高整体生产力。总之，拒绝之间的平均时间是组织应密切监测的重要指标。无论是在制造、软件开发还是其他任何领域，理解和改善这一指标都可以带来显著的好处。它使公司能够增强其流程、减少浪费，并最终为客户提供更好的产品和服务。因此，通过专注于增加拒绝之间的平均时间，企业可以培养持续改进的文化，努力在运营中追求卓越。