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首页> 外文期刊>The journal of risk finance >Developing and implementing a stochastic decision-support model within an organizational context: The experience
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Developing and implementing a stochastic decision-support model within an organizational context: The experience

机译：在组织环境中开发和实施随机决策支持模型：经验

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Purpose - Discusses why it is necessary to align a mathematical model with the organization in order to achieve the desired results. The structure of a model's input must fit with the structure of data collection in the firm, and the output must be consistent with the decision structure. Otherwise, data collection will not be properly taken care of and the results of a model will not find their way to where decisions are made. Five years passed from the cooperation first started with the university until the model came on-line. Design/methodology/approach - Parts 1 and 2 of this series of papers discussed the stochastic programming model itself and the relationship between the model and the organization. The results are now reported. Findings - Reports on both organizational and financial results. Practical implications - Shows that, although a lot of work is needed to implement a complicated stochastic programming model within an organization, it can be done and can lead to good results. However, it takes time to adjust an organization to a new way of thinking, as a model like this can never work unless supported by upper management as well as those who use the model daily. Originality/value - The main value is to demonstrate in rather large detail how a somewhat complicated model can be developed and used in an organization, which, originally, was not well aligned with the ideas of the modellers.
机译：目的 - 讨论为什么有必要将数学模型与组织保持一致，以实现所需的结果。模型输入的结构必须符合公司中数据收集的结构，并且输出必须与决策结构一致。否则，数据收集将无法正确处理，模型的结果将找不到做出决策的方式。从合作开始的五年开始与大学开始，直到该模型在线出现为止。设计/方法/方法 - 本系列论文的第1部分和第2部分讨论了随机编程模型本身以及模型与组织之间的关系。现在报告了结果。调查结果 - 有关组织和财务业绩的报告。实际含义 - 表明，尽管需要大量工作来在组织内实施复杂的随机编程模型，但它可以完成并可以带来良好的结果。但是，将组织调整为新的思维方式需要花费时间，因为这样的模型永远无法正常工作，除非受到高层管理人员的支持以及每天使用模型的人的支持。独创性/价值 - 主要价值是要大量详细说明如何在组织中开发和使用某种复杂的模型，该模型最初与建模者的想法不符。

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