Today's battlefield environment is complex, dynamic and uncertain, and requires efficient support to ensure mission success. This relies on a proper support strategy to provide supported equipment able to fulfill the mission. In the context of defense where both systems and organization are complex, having a holistic approach is challenging by nature, forces and support agencies need to rely on an efficient decision support system. Logistics, readiness and sustainability are critical factors for asset management, which can benefit from AI to reach "Smart In Service" level relying especially on predictive and prescriptive approaches and on effective management of operational re-sources. Smart Support capacities can be then monitored by appropriate metrics and improved by multi-criteria decision support and knowledge management system. Depending on the operational context in terms of information and the objective, different AI paradigms (data-driven AI, knowledge-based AI) are suitable even a combination through hybrid AI.
翻译:当今的战场环境复杂、充满活力和不确定,需要有效的支持来确保任务的成功,这有赖于适当的支持战略,以提供能够完成任务的辅助设备。在系统和组织复杂、整体方法具有挑战性的防御方面,部队和支助机构需要依赖有效的决策支持系统。 后勤、准备和可持续性是资产管理的关键因素,可以受益于AI,以达到“智能化服务”水平,特别依赖预测性和规范性方法以及业务再资源有效管理。智能支持能力可以通过适当的衡量标准加以监测,并通过多标准决定支持和知识管理系统加以改进。根据行动背景,在信息和目标方面,不同的AI模式(以数据驱动的AI、以知识为基础的AI)甚至适合通过混合AI的组合。