Online Supply Chain Management Graduate Certificate

This course will provide students with the analytical tools to analyze, manage, and improve manufacturing, service, and business processes. Coverage includes various options to lower operational costs and improve responsiveness to customers' needs, including operating system design, product & service design, capacity analysis & buffering, waiting line optimization, and process quality analysis using statistical approaches. Quantitative methods include application of stochastic simulation, analysis of random outcomes, statistical analysis routines (confidence intervals, hypothesis testing, machine learning), system reliability analysis, and statistical process control. The Deming philosophy of management, Lean operations principles, and Six Sigma process improvement methodologies form the underlying foundation of the course coverage. [4 credits]

This course covers the quantitative analysis tools to support operations management for a supply chain that is geographically dispersed and culturally diverse. The tools necessary to assure that the products/services are delivered/provided in the quality and timely manner include demand forecasting, inventory and capacity buffer optimization, delayed differentiation, statistical risk pooling, and stochastic inventory optimization. These tools are applied to decisions such as offshoring, multi-country outsourcing, push-pull, reverse supply chains, and risk mitigation. Particular attention is given to sustainability, information technology and digitalization, and creating resiliency. [4 credits]

This course covers quantitative approaches to logistics management. It teaches network optimization techniques and center gravity models for location analysis, mathematical programming for selecting the optimal transportation modality, statistical distributions for modeling the statistical uncertainty around the arrivals of trucks to a warehouse or a store, and inventory modeling for optimizing distribution centers. The course introduces mathematical models for warehouse layout decisions, learning curve models, and logistics network design in the context of today's increasingly digitalized supply networks. [4 credits]

Course participants will be exposed to the fundamental principles involved in the analysis and management of quality for enterprises and their supply chain. Quality is defined in the broadest sense, encompassing all performance components that drive customer satisfaction. The course focuses on management principles, statistical modeling and analysis, and their application in a variety of industrial, service, healthcare, and educational environments. Topics include the Deming philosophy of management, Six Sigma and the DMAIC project framework, quality certification systems, statistical data analysis & presentation, statistical modeling using control charts, and statistical analysis of process capability. Students will earn a Six Sigma Green Belt based on satisfactory performance on the final examination. [4 credits]

This course provides extensive insight into international trade practices and corporate decision-making criteria attendant to global import/export and other market entry strategies, and management of international logistics operations including global sourcing, global transportation, facility network design, intermediaries, and trade documentation. Topics include operations, government agencies, import/export channel networks, and the evaluation of international opportunities with the help of a business simulation package specifically prepared for this course. It is designed to provide students with the skills and tools necessary for international trade and international logistics management. [4 credits]