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Wiley Encyclopedia of Operations Research and Management Science

机译:威利运筹学与管理科学百科全书

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The fascinating thing about operations research is that, for all its complexity, it sets out to explain lots of everyday processes. The challenge usually comes from the quantitative ways in which this explanation is carried out. For anyone working in a practical and professional way, or an academic and research way, the mix of "operations research" and "management science" (called ORMS) makes sense because they overlap and complement each other so well, each feeding into the other. If we consider, for instance, situations in which managers wonder how best to ensure and analyse information flows between partners in a supply chain, or the alternatives optimally preferable in a transportation network in an urban area, or how best to manage the inventory of perishable food products in a company, or create a model of ways in which queues form, or factor in probability into understanding risk and priority in health-care, or draw out the options for and choices of participants in competition with each other, or represent voting decisions in politics: in all and any of these situations, one is likely to use, or want to use, or get expert help in order to use, operations research and techniques based on the "harder" or more quantitative side of management.
机译:运筹学的迷人之处在于,尽管它非常复杂,但它开始解释许多日常流程。挑战通常来自进行这种解释的定量方法。对于以实践和专业的方式或学术和研究的方式进行工作的任何人来说,“运筹学”和“管理科学”(称为ORMS)的混合都是有意义的,因为它们相互重叠并且互补性很好,相互促进。例如,如果我们考虑以下情况,管理者想知道如何最好地确保和分析供应链中合作伙伴之间的信息流,或者在城市地区的运输网络中最可取的替代方案,或者如何最好地管理易腐烂的库存公司的食品,或创建队列形成方式的模型,或将概率因素纳入理解医疗保健的风险和优先级的方式,或为彼此竞争的参与者制定选项和选择,或代表投票政治决策:在所有这些情况下,都可能会基于管理的“较硬”或更定量的方面来使用或想要使用运筹学和技术,或寻求专家帮助。

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