Suggested Courses

Behavioral supply chain management Big data, AI, and predictive analytics Blockchain, IoT, and digital platforms in supply chains Case-based and mixed-methods research Contracting, negotiation, and supplier relationships Data collection, modeling, and analysis Data-driven decision-making in SCM Demand forecasting and planning Dissertation writing, defense, and publication End-to-end supply chain integration Facility location and network design Global sourcing and offshoring Global supply chain configuration Global trade and supply chain coordination Humanitarian logistics and disaster response Innovation and technology management Inventory control models (EOQ, stochastic models) Linear, nonlinear, and integer programming Literature review and theoretical framework Mathematical modeling and simulation Multimodal transport and last-mile logistics Omnichannel and e-commerce logistics Probability and stochastic processes Public-sector and healthcare supply chains Quantitative and empirical research methods Regression, time-series, and panel data analysis Research ethics and scholarly writing Research problem identification Resilience and disruption management Risk pooling and postponement strategies Sales and operations planning (S&OP) Service supply chains Simulation and heuristic methods Software: R, Python, MATLAB, Stata, or similar Stochastic models and queuing theory Strategic sourcing and supplier selection Supply chain concepts and evolution Supply chain risk management Supply chain strategy and competitive advantage Sustainable, green, and circular supply chains Transportation systems and logistics optimization Warehousing and distribution management