Many combinatorial optimization problems (COPs) encountered in real-world logistics,
transportation, production, healthcare, financial, telecommunication, and computing …

Many decision-making processes in our society involve NP-hard optimization problems. The
largescale, dynamism, and uncertainty of these problems constrain the potential use of …

One of the primary challenges of re-planning in high-speed urban railways is the
randomness of disruptive events. In this study, an integrated disturbance recovery model …

In this work, we address the flexible job shop scheduling problem (FJSSP), which is a
classification of the well-known job shop scheduling problem. This problem can be …

One of the key issues in mining is the hauling system. Truck and shovels are the most widely
used transportation equipment in mines. In this paper, a two-phase simulation-based …

For an AI agent to make trustworthy decision recommendations under uncertainty on behalf
of human principals, it should be able to explain why its recommended decisions make …

Pull control systems are now widely used in many types of production systems. For those
based on cards, determining their number is an important issue. When the system is …

Process cooling for food production is an energy-intensive industry with complex
interactions and restrictions that complicate the ability to utilize energy-flexibility due to …

National energy planning has become increasingly complex owing to a pressing need to
incorporate sustainability considerations. In this context, we applied least-cost and cost-risk …

The Taguchi method is widely used in the field of manufacturing systems performance
simulation and improvement. On the other hand, Arena/OptQuest is one of the most efficient …