遇见数据集

Obsolescence Management with MCDM Case Study

收藏
Mendeley Data2020-05-16 更新2026-04-09 收录
官方服务:

资源简介:

The decision to refresh design of a sustainment dominated systems such as military, nuclear, transportation system is not purely a cost minimization single objective problem, instead, multiple objectives such as maximizing efficiency and security must also be considered. Multiple objectives create a pareto optimal solution set which constitutes non-dominated solutions for decision makers to select one based on his/her priorities. The research hypothesis is that the quality of pareto optimal solutions sets deteriorates over time and the point where the quality reaches a minimum point that reflects the risk appetite of an organization or decision-maker, is the point to refresh the design of a sustainment dominated system. We have demonstrated the validity of this hypothesis in a case study. This data set belongs to a case study.

针对以运维为主导的系统(如军事系统、核设施系统、交通运输系统)开展设计更新的决策,并非单纯以成本最小化为唯一目标的单目标优化问题,还需同时考量效率最大化与安全性提升等多项目标。多目标优化会生成帕累托最优(Pareto optimal)解集,该解集包含一系列非支配解,供决策者根据自身优先级遴选合适方案。本研究提出的假说为:帕累托最优解集的质量会随时间推移而衰减;当解集质量降至能够反映机构或决策者风险偏好的最低点时,即为对以运维为主导的系统开展设计更新的恰当时机。我们已通过案例研究验证了该假说的有效性,本数据集即来自此项案例研究。

创建时间:
2020-05-16
二维码
社区交流群
二维码
科研交流群
商业服务