The high-end equipment intelligent manufacturing (HEIM) industry is of strategic importance
to national and economic security. Engineering management (EM) for HEIM is a complex …

The measurement of complexity is a metric that can be used as a restructuring parameter in
a production system, and it is also useful for the analysis of improvements based on the …

Teams of autonomous unmanned aircraft can be used to monitor wildfires, enabling
firefighters to make informed decisions. However, controlling multiple autonomous fixed …

The coordination of order policies constitutes a great challenge in supply chain inventory
management as various stochastic factors increase its complexity. Therefore, analytical …

This paper proposes a distributed deep reinforcement learning (RL) based strategy for a
team of Unmanned Aerial Vehicles (UAVs) to autonomously fight forest fires. We first model …

Wildfires can pose a major threat to the secure operation of power networks. Chile,
California, and Australia have suffered from recent wildfires that have induced considerable …

Industrial electric power grid operation subject to an extreme event requires decision making
by human operators under stressful conditions. Decision making using system data …

The accelerated electrification of transport systems with EVs has brought new challenges for
charging scheduling, fleet management, and charging infrastructure location and …

A stochastic resource allocation model, based on the principles of Markov decision
processes (MDPs), is proposed in this paper. In particular, a general-purpose framework is …

We study the stochastic resource-constrained project scheduling problem with uncertain
resource availability, called SRCPSP-URA, and model it as a sequential decision problem …