Mustafa Çimen

Logistics Vehicle routing, distribution networks, capacity and time-window constraints. 10 Production and Inventory Management Production and replenishment policies under stochastic demand, and service-level decisions. 10 Linear and Integer Programming Model formulation, feasible regions, extreme-point solutions and sensitivity analysis. 12 Dynamic Programming Staged decision processes, state definition and optimal policy. 8 Reinforcement Learning Learning state–action policies and applying them to operations research problems. 6 Heuristic Algorithms Local search and improvement methods for large-scale problems. 8 Stochastic Modeling Probabilistic models under uncertain demand and lead times; Markov decision processes. 5 Production and Delivery Flexibility How quantity and timing flexibility affect the production plan and delivery performance. 5 Supply Chain Collaboration Coordination across the chain through information sharing, joint planning and gain sharing. 3 Process Flexibility Partial flexibility and chaining design: meeting demand variability with few added capabilities. 5 Sustainability Bringing environmental and social criteria into decision models; circular flows. 8