mean time between demands

简明释义

平均需求间隔时间

英英释义

例句

1.The service department uses the mean time between demands metric to improve customer response times.

服务部门使用需求之间的平均时间指标来改善客户响应时间。

2.To enhance efficiency, the company aims to reduce the mean time between demands for technical support.

为了提高效率，公司旨在减少技术支持的需求之间的平均时间。

3.Tracking the mean time between demands helps identify bottlenecks in the workflow.

跟踪需求之间的平均时间有助于识别工作流程中的瓶颈。

4.The engineering team calculated the mean time between demands to optimize their production schedule.

工程团队计算了需求之间的平均时间以优化他们的生产计划。

5.By analyzing the mean time between demands, we can predict when to restock inventory.

通过分析需求之间的平均时间，我们可以预测何时补充库存。

作文

In today's fast-paced world, businesses are constantly striving to improve their efficiency and meet customer expectations. One important metric that helps organizations achieve this goal is the concept of mean time between demands. This term refers to the average amount of time that elapses between customer requests or demands for a particular product or service. Understanding this metric is crucial for businesses as it can significantly impact their operational strategies and customer satisfaction levels.To illustrate the importance of mean time between demands, consider a restaurant that experiences fluctuating customer traffic. If the restaurant knows that the mean time between demands for dinner reservations is typically two hours on weekdays, they can better allocate their staff and resources during peak times. This allows the restaurant to enhance the dining experience for customers by minimizing wait times and ensuring that staff are available when needed.Furthermore, the mean time between demands can inform inventory management decisions. For instance, a retail store that tracks how often customers request a specific product can use this information to optimize their stock levels. If the mean time between demands indicates that a certain item is frequently requested, the store can ensure that they have enough inventory on hand to meet customer needs without overstocking, which can lead to increased costs.In addition to operational efficiency, understanding the mean time between demands can help businesses forecast future demand trends. By analyzing historical data on customer requests, companies can identify patterns and make informed predictions about when to expect spikes in demand. This proactive approach enables businesses to prepare in advance, whether that means hiring temporary staff, increasing production capacity, or adjusting marketing strategies to attract more customers during high-demand periods.Moreover, the mean time between demands is not just relevant for traditional businesses; it also applies to service-oriented industries. For example, a tech support company can benefit from tracking the mean time between demands for customer inquiries. If they notice that the mean time between demands is decreasing, it may indicate that customers are experiencing more issues with their products, prompting the company to investigate potential problems and improve their offerings.In conclusion, the concept of mean time between demands is a valuable tool for businesses aiming to enhance their operations and customer satisfaction. By understanding and monitoring this metric, organizations can optimize resource allocation, manage inventory effectively, and anticipate future demand trends. Ultimately, businesses that leverage the insights gained from analyzing the mean time between demands will be better positioned to thrive in a competitive marketplace, ensuring they meet their customers' needs promptly and efficiently.

在当今快节奏的世界中，企业不断努力提高效率并满足客户期望。一个帮助组织实现这一目标的重要指标是“需求之间的平均时间”这一概念。这个术语指的是客户对特定产品或服务的请求或需求之间经过的平均时间。理解这个指标对企业至关重要，因为它会显著影响他们的运营策略和客户满意度水平。为了说明“需求之间的平均时间”的重要性，考虑一家经历波动客户流量的餐厅。如果餐厅知道在工作日的晚餐预订的需求之间的平均时间通常为两个小时，他们可以更好地分配员工和资源，以应对高峰时段。这使得餐厅能够通过减少等待时间并确保员工在需要时可用，从而提升顾客的就餐体验。此外，“需求之间的平均时间”还可以为库存管理决策提供信息。例如，一家零售店跟踪客户请求特定产品的频率，可以利用这些信息来优化库存水平。如果需求之间的平均时间表明某个商品经常被请求，商店可以确保他们有足够的库存来满足客户需求，而不必过度库存，这可能导致成本增加。除了运营效率，理解“需求之间的平均时间”还可以帮助企业预测未来的需求趋势。通过分析客户请求的历史数据，公司可以识别模式，并对何时预计需求激增做出明智的预测。这种主动的方法使企业能够提前做好准备，无论是雇佣临时员工、增加生产能力，还是调整营销策略以在高需求期间吸引更多客户。此外，“需求之间的平均时间”不仅适用于传统企业；它也适用于服务导向行业。例如，一家技术支持公司可以通过跟踪客户询问的需求之间的平均时间来受益。如果他们注意到需求之间的平均时间在减少，这可能表明客户在使用其产品时遇到了更多问题，促使公司调查潜在问题并改善其产品。总之，“需求之间的平均时间”这一概念是企业旨在提升运营和客户满意度的有价值工具。通过理解和监测这一指标，组织可以优化资源分配、有效管理库存，并预测未来的需求趋势。最终，利用分析“需求之间的平均时间”所获得的洞察力的企业将在竞争激烈的市场中更具优势，确保他们及时高效地满足客户的需求。