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Strengthening ‘good’ modelling practices in robust decision support: A reporting guideline for combining multiple model-based methods
Mathematics and Computers in Simulation ( IF 4.4 ) Pub Date : 2020-09-01 , DOI: 10.1016/j.matcom.2019.05.002
Enayat A. Moallemi , Sondoss Elsawah , Michael J. Ryan

Abstract Uncertainty in model-based decision support is commonly addressed using mixed methods rather than a single method. Different mixes of methods result in different modelling and processes for robust decision support, and subsequently different decision outcomes. This article focuses on the notion of ‘good’ modelling practice and develops a reporting guideline to make the use of multiple methods in robust decision support transparent. The guideline raises awareness about the characteristics of methodological and mixing design choices made throughout the modelling process. While not intending to be universally applicable, the guideline represents a move towards the development of universal standards to promote the generalisability, reproducibility, and comparability of different practices of robust decision support and to improve the recognition of the values of specific robust decision support frameworks. The article demonstrates the process for the use of mixed methods in an illustrative case in asset life cycle planning. The case study explains choices made at each step of this mixing process and presents justifications for the choices made, using the suggested guideline. The illustrative case also demonstrates generated decision insights resulted from the choices made.

中文翻译:

加强稳健决策支持中的“良好”建模实践:结合多种基于模型的方法的报告指南

摘要 基于模型的决策支持中的不确定性通常使用混合方法而不是单一方法来解决。不同的方法组合导致稳健决策支持的不同建模和过程,以及随后不同的决策结果。本文重点介绍“良好”建模实践的概念,并制定了报告指南,以在稳健的决策支持中透明地使用多种方法。该指南提高了对整个建模过程中方法和混合设计选择特征的认识。虽然不打算普遍适用,但该指南代表了朝着制定通用标准以促进通用性、可重复性、和鲁棒决策支持不同实践的可比性,并提高对特定鲁棒决策支持框架价值的认识。本文以资产生命周期规划中的说明性案例展示了使用混合方法的过程。案例研究解释了在此混合过程的每个步骤中所做的选择,并使用建议的指南为所做的选择提供了理由。说明性案例还展示了由做出的选择产生的决策洞察力。使用建议的指南。说明性案例还展示了由做出的选择产生的决策洞察力。使用建议的指南。说明性案例还展示了由做出的选择产生的决策洞察力。
更新日期:2020-09-01
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