The aviation industry has set an ambitious goal of reducing its climate impacts. Accordingly, airlines must balance their plans according to this with financial considerations. We developed a multi-objective framework facilitate climate-aware network design by incorporating the objective minimise flight average temperature response (ATR) when optimising airline network. also assessed operationa...

A dynamic programming model with time-domain simulations of contingencies is created to find the least-costly operational strategies according a probabilistic criterion selected preventive and corrective actions. The results show that can identify which appear be satisfactory static analysis, but where system response in violating systems requirements. calculates costs related many possible ope...

Reliability-based and risk-based methods for directing maintenance activities play a critical role in ensuring system safety reducing unnecessary downtime. Those focus on preventive to avoid component failures are applicable before unexpected disruptions occur. However, when unavoidable, more attention should be paid systems’ recovery from unwanted changes. As remedy of maintenance, improving r...

We study performance improvement in multi-echelon, closed loop spare part supply chains using operational interventions based on real-time status information. Our objective is to minimize the total cost relevant costs, consisting of intervention costs and backorder costs. In this paper, we focus proactive interventions, aiming avoid stockouts. assume that all reactive are fixed. Proactive inclu...

Hierarchical microgrid control levels range from distributed device level controllers that run at a high frequency to centralized optimizing market integration much less frequently. Centralized are often subdivided into operational planning optimize decisions over time horizon of one or several days, and real-time optimization deal with actions in the current period. The coordination these is p...