Supply Chain Management Graduate Courses

The goal of this course is to introduce to students foundational mathematics and statistics knowledge that will provide them skills and tools necessary to succeed in their area of study.   [ 4 cr. ]

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 cr. ]

Prereq: METAD571
The course offers an overview of the key current and emerging enterprise risk analytical approaches used by corporations and governmental institutions and is focused on understanding and implementing the enterprise risk management framework on how to leverage the opportunities around a firm to increase firm value. The major risk categories of the enterprise risk management such as financial risk, strategic risk, and operational risk will be discussed and risk analytics approaches for each of these risks will be covered. Students will learn how to use interlinked data inputs, analytics models, business statistics, optimization techniques, simulation, and decision-support tools. An integrated enterprise risk analytics approach will be demonstrated with examples from different functional areas of the enterprise. R, SQL, and Power BI software are used in this course.   [ 4 cr. ]

Introduction to the concepts, methods and problems of accounting and financial analysis. Includes accounting principles, measurement and disclosure issues, financial statement analysis, time value of money, cash flow projection and analysis, capital budgeting and project evaluation, bond and equity valuation, cost of capital and capital structure. 4 cr. Effective Fall 2021, this course fulfills a single unit in each of the following BU Hub areas: Quantitative Reasoning II, Critical Thinking.  [ 4 cr. ]

The course explores modern project management by providing an enterprise- level, experiential view of the discipline focused on connecting projects to the organization's mission, vision, and values. The theme of the course is applying key project management tools and techniques, through case-based group work, which will help students identify, analyze, and develop practical proposals to real-world issues. Groups select, plan, report, and then present on their project's scope, schedule, cost, risk, quality, and communications elements using tools such as the WBS, network diagram, PERT estimate, Gantt chart (including the use of MS Project), risk register, and heat map. Students also gain familiarity with important new concepts in project management: Agile frameworks, actionable sustainability thinking, and Benefits Realization Management, all of which will be important for their success not only in other graduate courses, but as they lead projects for their organizations so as to provide lasting, triple-bottom-line value. The course is aligned with the latest PMBOK? Guide from the Project Management Institute.   [ 4 cr. ]

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 cr. ]

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 cr. ]

The purpose of this course is to help improve business problem solving and managerial decision-making through the use of quantitative and qualitative decision-making tools and techniques. This course will provide the student with an overview of how decisions are made to solve management problems in the business environment. It introduces the fundamental concepts and methodologies of the decision-making process, problem-solving, decision analysis, data collection, probability distribution, evaluation, and prediction methods. Students will learn how to apply different quantitative and qualitative analytical tools commonly used in business to provide a depth of understanding and support to various decision-making activities within each subject area of management. Through the use of case studies of decisions made by managers in various production and service industries and a business simulation package specifically prepared for this course, the scope and breadth of decision-making in business will be described.  [ 4 cr. ]

The goal of this course is to introduce to students advanced quantitative approaches and methods that will provide them skills and tools necessary to succeed in their area of study.  [ 4 cr. ]

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 cr. ]

Students are introduced to the latest requirements, techniques, procedures, and practices for successfully 'Doing Business in North America'. Emphasis is placed on managing in the most competitive business environment in the world; preparing, implementing, and maintaining sustainable international business transactions and operations. We begin with a description of driving forces and starting conditions for being a competitive and sustainable business enterprise including the role of the market integration in the NAFTA region. Included is consideration of corporate market entry strategies such as import and export agreements and transactions, contractual agreements, strategic alliances, and direct foreign investments. Factors of risk management, business continuity management, and performance management (on project and corporate levels) are considered. Regional policies, international trade development, opportunities in international trade development, and forward- looking challenges are examined. All participants attend live online lectures, partake in discussion boards and complete a group term project involving business simulation. The project is developed in stages (decision rounds) throughout the term and teams compete during each stage.   [ 4 cr. ]

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 cr. ]

Graduate Prerequisites: (METAD731) - Prereqs: AD 630, AD731
Applies the concepts of corporate finance and risk mitigation to the problems of multinational financial management. Major topics include foreign exchange risk, and construction of hedging strategies using derivative instruments such as forwards, futures, and swaps to reduce multinational corporate risk. Addresses international financial flows and their impact on foreign exchange rates, capital flows, speculation, analysis of alternative foreign investments, analysis of sources and uses of corporate funds abroad, multinational tax and profit.  [ 4 cr. ]

This course provides an opportunity for supply chain students to apply various methodological tools to solve a real world problem supported by an external sponsor or generated as a research project. Projects require the use of quantitative and qualitative tools to analyze supply chain performance, quantify supply chain risks, optimize logistics networks, optimize inventory levels, or evaluate capacity decisions. Specific methodologies include mathematical modeling, data mining, statistical analysis, inventory optimization, network optimization, process analysis, and waiting line modeling and optimization.  [ 4 cr. ]