This paper proposes a novel framework to support the generation of strategies for multi-criteria long-term improvement. It can be applied to general preference models but it is illustrated in this article on a Multi-Attribute Value Theory model. The novel contributions to the literature are twofold. Firstly, the framework addresses the issue of resistance to change that may arise during the implementation of a strategy. It constrains a step of improvement to be focused on a single criterion, and minimizes the intensity of operational changes. Secondly, it addresses the realism of the improvement scenarios by treating three types of structural dependencies differently: the positive synergies, the negative synergies and the bottlenecks. The scenarios are generated by finding a set of efficient solutions to a shortest path problem in a graph whose edges represent possible steps of improvement. Each edge is characterized by an increase of rank or level and two penalty functions relating to the difficulty of its execution, one representing a risk associated to bottleneck mechanisms and the other to operational change relative to a previous edge. A case-study using the Shanghai Academic Ranking of World Universities is presented in order to illustrate how this framework could be useful to generate a sequence of strategic actions for the Université libre de Bruxelles.

本文提出了一个新的框架来支持多标准长期改进策略的生成。它可以应用于一般偏好模型，但在这篇关于多属性价值理论模型的文章中进行了说明。小说对文学的贡献是双重的。首先，该框架解决了在战略实施过程中可能出现的变革阻力问题。它将改进步骤限制在单一标准上，并最大限度地减少运营变化的强度。其次，它通过区别对待三种类型的结构依赖性来解决改进方案的现实性：正协同效应、负协同效应和瓶颈. 这些场景是通过在图中找到一组最短路径问题的有效解决方案来生成的，其边代表可能的改进步骤。每个边缘的特征在于增加等级或层次的和与它的执行，一个表示相关联的风险的难度2个惩罚函数瓶颈机制，另一个操作变化到以前的边缘相对。介绍了使用上海世界大学学术排名的案例研究，以说明该框架如何有助于为布鲁塞尔自由大学制定一系列战略行动。