operational research

简明释义

运筹学工作研究作战研究

英英释义

Operational research is a discipline that uses advanced analytical methods to help make better decisions.

运筹学是一门利用先进分析方法帮助做出更好决策的学科。

It involves the application of mathematical models, statistical analysis, and optimization techniques to solve complex problems.

它涉及应用数学模型、统计分析和优化技术来解决复杂问题。

例句

1.Using operational research, the city was able to develop a more efficient public transportation system.

通过使用运筹学,城市能够开发出更高效的公共交通系统。

2.The airline implemented operational research techniques to improve seat allocation and maximize profits.

航空公司实施了运筹学技术,以改善座位分配并最大化利润。

3.A team of analysts conducted operational research to forecast demand for the upcoming holiday season.

一组分析师进行了运筹学研究,以预测即将到来的假日季节的需求。

4.By applying operational research, the manufacturing plant reduced waste and increased efficiency.

通过应用运筹学,制造工厂减少了浪费并提高了效率。

5.The logistics company used operational research to optimize their delivery routes, resulting in faster service.

这家物流公司利用运筹学优化他们的配送路线,从而提供了更快的服务。

作文

In today's rapidly evolving world, organizations are constantly seeking ways to optimize their operations and enhance decision-making processes. One effective approach that has gained significant importance is operational research. This discipline employs advanced analytical methods to help make better decisions and improve efficiency in various sectors, including business, healthcare, logistics, and public services.Operational research (运营研究) involves the application of mathematical models, statistical analysis, and optimization techniques to solve complex problems. By utilizing these methods, organizations can analyze data, identify trends, and develop strategies that lead to more effective resource allocation. For instance, a manufacturing company may use operational research to optimize its production schedule, ensuring that resources are utilized efficiently while meeting customer demand.One of the key benefits of operational research is its ability to provide insights that are not immediately obvious. Through simulation and modeling, organizations can explore different scenarios and assess the potential impacts of various decisions. This capability is particularly valuable in industries such as healthcare, where decisions can significantly affect patient outcomes. For example, hospitals can use operational research to determine the optimal staffing levels needed to minimize wait times while maximizing the quality of care.In addition to improving efficiency, operational research also plays a crucial role in risk management. Organizations face numerous uncertainties, and being able to quantify and mitigate risks is essential for long-term success. By employing operational research techniques, businesses can identify potential risks in their operations and develop strategies to address them proactively. This might involve creating contingency plans or adjusting operational processes to reduce vulnerability to unforeseen events.Moreover, operational research fosters collaboration across different departments within an organization. By providing a common framework for analyzing problems, it encourages teams to work together towards shared objectives. For instance, in a retail setting, the marketing and supply chain departments can collaborate using operational research to optimize inventory levels based on projected sales, thus ensuring that products are available when customers want them without overstocking.As technology continues to advance, the tools and techniques used in operational research are becoming increasingly sophisticated. The rise of big data analytics and artificial intelligence has opened new avenues for enhancing decision-making processes. Organizations can now leverage vast amounts of data to uncover insights that were previously unattainable. This integration of technology with operational research allows for even more precise modeling and forecasting, leading to improved outcomes across various sectors.In conclusion, operational research is a vital discipline that empowers organizations to optimize their operations and make informed decisions. By applying advanced analytical methods, businesses can enhance efficiency, manage risks, and foster collaboration. As we move forward in an increasingly complex and data-driven world, the importance of operational research will only continue to grow, making it an essential component of successful organizational strategy. Ultimately, embracing operational research can lead to significant improvements in performance and competitiveness, enabling organizations to thrive in their respective fields.

在当今快速发展的世界中,组织不断寻求优化其运营和增强决策过程的方法。一种有效的方法是< span >运营研究< /span >。这一学科采用先进的分析方法来帮助做出更好的决策并提高各个行业(包括商业、医疗保健、物流和公共服务)的效率。< span >运营研究< /span >(operational research)涉及应用数学模型、统计分析和优化技术来解决复杂问题。通过利用这些方法,组织可以分析数据、识别趋势,并制定提高资源配置效率的策略。例如,一家制造公司可以使用< span >运营研究< /span >来优化其生产计划,确保在满足客户需求的同时高效利用资源。< span >运营研究< /span >的一个主要好处是能够提供不易显现的洞察力。通过模拟和建模,组织可以探索不同的情境,并评估各种决策的潜在影响。这一能力在医疗行业尤为宝贵,因为决策可能会对患者结果产生重大影响。例如,医院可以利用< span >运营研究< /span >来确定所需的最佳员工数量,以最小化等待时间,同时最大化护理质量。除了提高效率之外,< span >运营研究< /span >在风险管理中也发挥着至关重要的作用。组织面临着许多不确定性,能够量化和减轻风险对于长期成功至关重要。通过采用< span >运营研究< /span >技术,企业可以识别运营中的潜在风险,并制定应对策略。这可能涉及创建应急计划或调整运营流程,以降低对不可预见事件的脆弱性。此外,< span >运营研究< /span >促进了组织内不同部门之间的协作。通过提供一个共同的框架来分析问题,它鼓励团队朝着共同目标合作。例如,在零售环境中,营销和供应链部门可以利用< span >运营研究< /span >合作优化基于预测销售的库存水平,从而确保产品在客户需要时可用,而不会过度库存。随着技术的不断进步,< span >运营研究< /span >中使用的工具和技术变得越来越复杂。大数据分析和人工智能的兴起为增强决策过程开辟了新的途径。组织现在可以利用大量数据来发现以前无法获得的洞察。这种技术与< span >运营研究< /span >的结合使得更精确的建模和预测成为可能,从而在各个行业中改善结果。总之,< span >运营研究< /span >是一个重要的学科,使组织能够优化其运营并做出明智的决策。通过应用先进的分析方法,企业可以提高效率、管理风险并促进协作。随着我们在日益复杂和数据驱动的世界中前进,< span >运营研究< /span >的重要性只会继续增长,使其成为成功组织战略的基本组成部分。最终,拥抱< span >运营研究< /span >可以带来显著的绩效和竞争力提升,使组织能够在各自领域蓬勃发展。

相关单词

operational

operational详解:怎么读、什么意思、用法

research

research详解:怎么读、什么意思、用法