This study enhances decision-making and production monitoring in aeronautical assembly lines, focusing on visualizing performance evolution using a KPI tree and varied aggregation methods. By representing trajectory in a three-dimensional space, it facilitates effective risk and opportunities detection, pattern recognition, and trend analysis. The aim is to contribute valuable insights for mitigating disruptions and improving production rates in the aerospace industry, leveraging immersive technologies for comprehensive understanding and advancing decision support systems.

The purpose of this study is to present a novel perspective on decision support based on the conventional SEIR pandemic model paradigm considering the risks and opportunities as physical forces deviating the expected performance trajectory of a system. The impact of a pandemic is measured by the deviation of the social system's performance trajectory within the geometrical framework of its Key Performance Indicators (KPIs). According to the overall premise of utilizing Ordinary Differential Equations to simulate epidemics, the deviations are connected to several alternative interventions. The model is essentially built on two sets of parameters: (i) social system parameters and (ii) pandemic parameters. The ultimate objective is to propose a multi-criteria performance framework to control pandemics that includes a combination of timely measures. On the one hand, the current study optimizes prospective strategies to manage the potential future pandemic, while on the other hand, it explores the COVID-19 epidemic in the state of Georgia (USA).

This article proposes an object knowledge environment to support manufacturing systems layout design, as an alternative to classical functional softwares. It justifies this transition to an object-oriented paradigm by the advantages in openness of the system, as well as increased flexibility and modularity, and higher potential for abstraction and hierarchical structure formation. the implemented environment uses the SMALLTALK-80 language. It supports hierarchical classes of objects such as cell, aisle set, facilities structure, flow, set, relationship set, flow networks, independent objects, evaluators, and optimizers. the layout designer can interact directly with all defined objects through the use of individual model-view-controller triads.