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Scenario-robustness methodology: An approach to flexible planning under uncertainty with an application to AIDS-related resource allocation.

机译:情景稳健性方法:在不确定性下灵活规划的方法,适用于与艾滋病相关的资源分配。

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摘要

In this thesis the problem of planning under uncertainty is examined. A classification of uncertainty is given with the purpose of identifying those areas where traditional methods for planning under uncertainty fail to prescribe suitable courses of action. Traditional planning methods have increasingly proved inadequate in their handling of the uncertainty inherent in complex and turbulent environments. Methodologies suitable to planning under uncertainty should attempt to preserve future flexibility, by keeping options open for later resolution. This thesis describes the development of Scenario-Robustness Methodology (SRM), a flexible methodology for planning under uncertainty. SRM uses scenario analysis to develop altemative futures, and robustness analysis to determine the most flexible options under those futures, for both the short and long term. A new criterion is proposed for evaluating the consequences of initial decisions in terms both of the positive options which are maintained and of the undesirable options still left open. This criterion is a composite measure which enables decision-makers to give relative weights to positive outcomes (robustness) or negative outcomes (debility), by varying a key parameter. A number of alternative measures of uncertainty which may be employed in a planning situation characterized by a set of initial decisions and a set of altemative future scenarios, are also examined. The coefficient of concordance W is found to be the most useful of such measures. An example is given of the application of SRM to an HIV/AIDS-related resource allocation problem. Planning for HIV/AIDS is selected as a suitable area of application because of the uncertainties surrounding the nature of the disease, the availability of treatments and their timing, and the size of the planned for population. SRM is used to assist in structuring the problem and to identify those initial commitments which are preferable in terms of flexibility. The problem structuring capability of SRM is of particular value since it initiates a process of reflection and negotiation which helps to incorporate in the analysis, in addition to flexibility, other relevant factors which will shape the final selection of an appropriate course of action.
机译:本文研究了不确定性下的规划问题。对不确定性进行了分类,目的是确定那些在不确定性下进行传统规划的方法未能规定适当行动方案的领域。传统的规划方法在处理复杂多变的环境中固有的不确定性方面已日益证明不足。适用于不确定性情况下进行规划的方法应尝试通过保留可供以后解决的方案来保持未来的灵活性。本文描述了情景鲁棒性方法(SRM)的发展,它是一种不确定性下灵活的规划方法。 SRM使用情景分析来开发替代期货,并使用健壮性分析来确定短期和长期下这些期货下最灵活的期权。提出了一种新的标准,用于根据维持的积极选择和仍未解决的不良选择来评估初始决策的后果。该标准是一项综合措施,使决策者可以通过更改关键参数,对积极成果(稳健)或消极成果(能力)给予相对权重。还研究了可能在以一组初始决策和一组替代性未来方案为特征的规划情况下采用的许多不确定性的替代措施。发现一致性系数W是此类度量中最有用的。举例说明了将SRM应用于与HIV / AIDS相关的资源分配问题。由于围绕疾病的性质,治疗的可获得性及其时机以及计划人口规模的不确定性,选择艾滋病毒/艾滋病规划作为合适的应用领域。 SRM用于帮助解决问题并确定在灵活性方面更可取的初始承诺。 SRM的问题结构能力具有特别的价值,因为它启动了反思和协商的过程,除了灵活性以外,还有助于将分析纳入决策的其他相关因素,这些因素将决定适当行动的最终选择。

著录项

  • 作者

    Rizakou Eleni;

  • 作者单位
  • 年度 1995
  • 总页数
  • 原文格式 PDF
  • 正文语种 en
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