Instructors: Amelia Regan
Credits: 1

Covers physical and information flows in supply chains, and the economic drivers of supply chain choices. Explores methods to analyze and improve logistics and transportation systems, including applications of policy, technology and infrastructure. Introduces generative AI and optimization tools necessary for professional success.

Instructors: Luis Perez
Credits: 5

The design and location of facilities can have a significant impact on the cost and performance of the supply chain as a whole. This course explores the major factors involved in the location, design and analysis of industrial facilities, including just-in-time systems, material handling systems, queuing, material flow analysis, line balancing and systematic layout planning. We also examine the managerial decision-making process in operations such as manufacturing, production scheduling, quality assurance and facility location, along with management of service systems using quantitative analysis and other methods.

Course Themes

• Critical Thinking: Utilize linear programming to evaluate costs and production rates that impact facility design and operation.
• Data-Driven Decision Making: Learn how to utilize data for capacity planning.
• Integration and Collaboration: Learn the framework of sales and operations planning (S&OP) and how it fosters integration and collaboration across the supply chain.

Instructors: Apurva Jain
Credits: 5

Inventory management has a significant impact on a company’s financial performance. This course tackles the common problem of supply-demand mismatch. We explore methods of forecasting that enable you to understand the market demand for products in a supply chain and identify strategies for optimizing inventory in response to that demand. You will undertake a comprehensive analysis of the tools and methods used to manage inventory SKUs (stock-keeping units) with different characteristics — demand, lead-time and more. We also cover sourcing and contingency planning as well as current best practices in supply chain management, including the trade-offs that exist between lean and resilient supply chain principles.

Course Themes

• Critical Thinking: Read case studies about inventory problems and propose options for improvement.
• Data-Driven Decision Making: Use time-series sales data to develop predictive models.
• Integration and Collaboration: Participate in a simulation to identify inefficiencies in inventory processes and collaborate on solutions.

Instructors: Nikhil Suresh
Credits: 2

Aspiring senior supply chain & logistics professionals need to know how to collect, manipulate and analyze large data sets to make informed decisions. This course provides a foundation for data-driven decisions. You'll learn data modelling; how to identify, collect, manipulate and correlate data sets; descriptive and diagnostic analysis; and a number of other topics. You'll become familiar with using large data sets to solve specific business problems, and you'll use Tableau to perform data visualization. 

Instructors: Bill Keough
Credits: 5

The supply chain objectives of many organizations are hampered by their existing legacy systems and infrastructure, as well as by the lack of cost-effective strategies for migrating to more robust and integrated platforms. This course helps you understand how to document and analyze both business and IT processes, including the best tools and approaches to use. You will get an overview of the enterprise software landscape, the key systems — including ERP, WMS and TMS — required for efficient operation of a corporation, and various approaches for integrating these systems. We also examine strategies for IT consolidation when one firm acquires another, as well as different methods for data exchange with key suppliers, distributors and customers.

Course Themes

• Critical Thinking: Evaluate IT architecture and internal applications to improve data exchange within a business.
• Data-Driven Decision Making: Play a game that simulates the purchasing and fulfillment processes and analyzing data sets.
• Integration and Collaboration: Explore methods and technologies that are used to exchange information within a large enterprise.

Instructors: Todd Smith
Credits: 5

This course focuses on how supply chain managers can identify and manage supply chain risk factors. These may include pandemics, severe weather, strikes, supplier bankruptcies, and other events that are generally categorized as supply disruptions; as well as many other events that may impact the supply chain, such as changes in technology, regulation or consumer preferences. We provide a general framework for looking at risk, how it can impact the organizations we work in, and how to both better prepare for and mitigate these risks. You'll also explore how these risk factors relate to other supply chain risks — such as product source location, quantity and price — and how strategies to manage these risks might be complementary.

Course Themes

• Critical Thinking: Learn how to identify risks in the supply chain, assess the potential impact and analyze ways to mitigate the risks.
• Data-Driven Decision Making: Learn basic decision analysis in order to make decisions in the presence of risk or uncertainty.

Instructors: Bill Keough
Credits: 5

In an era of stiff global competition and an unprecedented drive to reduce supply chain costs, successful firms know that effective collaboration across the supply chain can provide a powerful competitive edge — if executed properly. Effective collaboration with suppliers upstream and distributors, retailers and customers downstream can boost sales, reduce product inventories, speed time to market and offer a host of other business benefits. However, reaping these benefits requires the artful and simultaneous orchestration of technology, performance and relationship management, along with the harmonization of business processes across organizations. This course examines these critical success factors and their inter-relationship, while also emphasizing the importance of corporate culture as an enabling factor in collaboration.

Course Themes

• Critical Thinking: Play a complex game over the course of 8 weeks where you will optimize the supply chain for a manufacturer. You will analyze factors and develop strategies in order to achieve the highest return on investment (ROI).
• Data-Driven Decision Making: Analyze quantitative performance data in the supply chain game.
• Integration and Collaboration: The entire course will be exploring this subject.

Instructor: TBD
Credits: 5

The transport of freight — everything from B2B industrial materials to B2C e-commerce to the home — plays a critical role in terms of cost and competitiveness for any enterprise that moves physical goods. The first part of this course addresses the key components of transportation in the context of strategic, business and operational management of complex supply chains. You'll learn techniques to develop strategies and plans over multiple time horizons, execute freight movement and analyze a wealth of information to continuously improve enterprise freight performance in the global business environment. Where appropriate, we'll examine the role of generative AI in data gathering, processing and analysis. The second part of the course examines the role of emerging autonomous systems (primarily vehicles and warehouse operations) in supply chain operations.

Course Themes

• Critical Thinking: Evaluate macroeconomic factors and assess potential impacts on a corporate freight transportation business.
• Data-Driven Decision Making: Design data-based key performance indicators (KPIs) and model and analyze scenarios for a freight transport scenario.
• Integration and Collaboration: Model and analyze the costs and risks of collaborative shipping with other enterprises.

Instructors: Dan Stull
Credits: 5

Successful companies rely on supply chain executives to make informed financial decisions. This course helps you understand how even seemingly small changes in ongoing supply chain operations or cost structures can have a profound impact on the strategic financial management of modern enterprises. You’ll examine how large enterprises — with potentially billions in purchasing power — negotiate exceptionally complex supply contracts, move products around the globe, and utilize a multitude of delivery modes. In this course, you’ll learn to develop a framework for understanding the financial impact of their supply chain, transportation, and logistics decisions. You’ll also explore how to apply corporate finance theory, understand competencies that are critical for continuous improvement, and learn how performance management theory is put into practice in the day-to-day operation of real firms. We’ll also cover how to integrate financial sustainability metrics with a company's supply chain finance strategy.  You’ll gain skills and vocabulary you can use to communicate in financial terms about supply chain decisions and demonstrate value for your organization.

Course Themes

• Critical Thinking: Identify nonvalue-added core processes in an organization and develop solutions to efficiently produce value.
• Data-Driven Decision Making: Develop metrics to analyze the performance of strategically important processes and establish improvement priorities.
• Integration and Collaboration: Use operational and financial data to collaboratively develop solutions to improve a strategically important core process.

Instructors: All Instructors
Credits: 5

The practicum project gives you the opportunity to apply the knowledge you’ve gained in the program to solve a contemporary supply chain problem, preferably one facing your current company or organization. In the practicum you will work in a team to conduct a preliminary analysis of potential project ideas and determine which one — based on complexity, the political landscape and other factors — is most likely solvable within the available timeframe. After reviewing this analysis with your supervising instructor, you will select one problem to be the focus your practicum. You will then create a detailed plan that defines the overall approach, key stakeholders, major tasks, required resources, potential risks and mitigation strategies, project timeline and metrics used to measure results. Students present their findings to the program's advisory board.

Course Themes

• Critical Thinking: Identify, define and scope a real-world supply chain or logistics challenge and develop a realistic and cost-effective solution.
• Data-Driven Decision Making: Collect actual performance data relevant to the change you are advocating and use it to validate your proposed solution.
• Integration and Collaboration: Work in teams to develop your project solution and present your findings.

Instructors: Amelia Regan
Credits: 1

Covers physical and information flows in supply chains, and the economic drivers of supply chain choices. Explores methods to analyze and improve logistics and transportation systems, including applications of policy, technology and infrastructure. Introduces generative AI and optimization tools necessary for professional success.

Instructors: Luis Perez
Credits: 5

The design and location of facilities can have a significant impact on the cost and performance of the supply chain as a whole. This course explores the major factors involved in the location, design and analysis of industrial facilities, including just-in-time systems, material handling systems, queuing, material flow analysis, line balancing and systematic layout planning. We also examine the managerial decision-making process in operations such as manufacturing, production scheduling, quality assurance and facility location, along with management of service systems using quantitative analysis and other methods.

Course Themes

• Critical Thinking: Utilize linear programming to evaluate costs and production rates that impact facility design and operation.
• Data-Driven Decision Making: Learn how to utilize data for capacity planning.
• Integration and Collaboration: Learn the framework of sales and operations planning (S&OP) and how it fosters integration and collaboration across the supply chain.

Instructors: Bill Keough
Credits: 5

In an era of stiff global competition and an unprecedented drive to reduce supply chain costs, successful firms know that effective collaboration across the supply chain can provide a powerful competitive edge — if executed properly. Effective collaboration with suppliers upstream and distributors, retailers and customers downstream can boost sales, reduce product inventories, speed time to market and offer a host of other business benefits. However, reaping these benefits requires the artful and simultaneous orchestration of technology, performance and relationship management, along with the harmonization of business processes across organizations. This course examines these critical success factors and their inter-relationship, while also emphasizing the importance of corporate culture as an enabling factor in collaboration.

Course Themes

• Critical Thinking: Play a complex game over the course of 8 weeks where you will optimize the supply chain for a manufacturer. You will analyze factors and develop strategies in order to achieve the highest return on investment (ROI).
• Data-Driven Decision Making: Analyze quantitative performance data in the supply chain game.
• Integration and Collaboration: The entire course will be exploring this subject.

Instructors: Apurva Jain
Credits: 5

Inventory management has a significant impact on a company’s financial performance. This course tackles the common problem of supply-demand mismatch. We explore methods of forecasting that enable you to understand the market demand for products in a supply chain and identify strategies for optimizing inventory in response to that demand. You will undertake a comprehensive analysis of the tools and methods used to manage inventory SKUs (stock-keeping units) with different characteristics — demand, lead-time and more. We also cover sourcing and contingency planning as well as current best practices in supply chain management, including the trade-offs that exist between lean and resilient supply chain principles.

Course Themes

• Critical Thinking: Read case studies about inventory problems and propose options for improvement.
• Data-Driven Decision Making: Use time-series sales data to develop predictive models.
• Integration and Collaboration: Participate in a simulation to identify inefficiencies in inventory processes and collaborate on solutions.

Instructor: TBD
Credits: 5

The transport of freight — everything from B2B industrial materials to B2C e-commerce to the home — plays a critical role in terms of cost and competitiveness for any enterprise that moves physical goods. The first part of this course addresses the key components of transportation in the context of strategic, business and operational management of complex supply chains. You'll learn techniques to develop strategies and plans over multiple time horizons, execute freight movement and analyze a wealth of information to continuously improve enterprise freight performance in the global business environment. Where appropriate, we'll examine the role of generative AI in data gathering, processing and analysis. The second part of the course examines the role of emerging autonomous systems (primarily vehicles and warehouse operations) in supply chain operations.

Course Themes

• Critical Thinking: Evaluate macroeconomic factors and assess potential impacts on a corporate freight transportation business.
• Data-Driven Decision Making: Design data-based key performance indicators (KPIs) and model and analyze scenarios for a freight transport scenario.
• Integration and Collaboration: Model and analyze the costs and risks of collaborative shipping with other enterprises.

Instructors: Nikhil Suresh
Credits: 2

Aspiring senior supply chain & logistics professionals need to know how to collect, manipulate and analyze large data sets to make informed decisions. This course provides a foundation for data-driven decisions. You'll learn data modelling; how to identify, collect, manipulate and correlate data sets; descriptive and diagnostic analysis; and a number of other topics. You'll become familiar with using large data sets to solve specific business problems, and you'll use Tableau to perform data visualization. 

Instructors: Bill Keough
Credits: 5

The supply chain objectives of many organizations are hampered by their existing legacy systems and infrastructure, as well as by the lack of cost-effective strategies for migrating to more robust and integrated platforms. This course helps you understand how to document and analyze both business and IT processes, including the best tools and approaches to use. You will get an overview of the enterprise software landscape, the key systems — including ERP, WMS and TMS — required for efficient operation of a corporation, and various approaches for integrating these systems. We also examine strategies for IT consolidation when one firm acquires another, as well as different methods for data exchange with key suppliers, distributors and customers.

Course Themes

• Critical Thinking: Evaluate IT architecture and internal applications to improve data exchange within a business.
• Data-Driven Decision Making: Play a game that simulates the purchasing and fulfillment processes and analyzing data sets.
• Integration and Collaboration: Explore methods and technologies that are used to exchange information within a large enterprise.

Instructors: Dan Stull
Credits: 5

Successful companies rely on supply chain executives to make informed financial decisions. This course helps you understand how even seemingly small changes in ongoing supply chain operations or cost structures can have a profound impact on the strategic financial management of modern enterprises. You’ll examine how large enterprises — with potentially billions in purchasing power — negotiate exceptionally complex supply contracts, move products around the globe, and utilize a multitude of delivery modes. In this course, you’ll learn to develop a framework for understanding the financial impact of their supply chain, transportation, and logistics decisions. You’ll also explore how to apply corporate finance theory, understand competencies that are critical for continuous improvement, and learn how performance management theory is put into practice in the day-to-day operation of real firms. We’ll also cover how to integrate financial sustainability metrics with a company's supply chain finance strategy.  You’ll gain skills and vocabulary you can use to communicate in financial terms about supply chain decisions and demonstrate value for your organization.

Course Themes

• Critical Thinking: Identify nonvalue-added core processes in an organization and develop solutions to efficiently produce value.
• Data-Driven Decision Making: Develop metrics to analyze the performance of strategically important processes and establish improvement priorities.
• Integration and Collaboration: Use operational and financial data to collaboratively develop solutions to improve a strategically important core process.

Instructors: Todd Smith
Credits: 5

This course focuses on how supply chain managers can identify and manage supply chain risk factors. These may include pandemics, severe weather, strikes, supplier bankruptcies, and other events that are generally categorized as supply disruptions; as well as many other events that may impact the supply chain, such as changes in technology, regulation or consumer preferences. We provide a general framework for looking at risk, how it can impact the organizations we work in, and how to both better prepare for and mitigate these risks. You'll also explore how these risk factors relate to other supply chain risks — such as product source location, quantity and price — and how strategies to manage these risks might be complementary.

Course Themes

• Critical Thinking: Learn how to identify risks in the supply chain, assess the potential impact and analyze ways to mitigate the risks.
• Data-Driven Decision Making: Learn basic decision analysis in order to make decisions in the presence of risk or uncertainty.

Instructors: All Instructors
Credits: 5

The practicum project gives you the opportunity to apply the knowledge you’ve gained in the program to solve a contemporary supply chain problem, preferably one facing your current company or organization. In the practicum you will work in a team to conduct a preliminary analysis of potential project ideas and determine which one — based on complexity, the political landscape and other factors — is most likely solvable within the available timeframe. After reviewing this analysis with your supervising instructor, you will select one problem to be the focus your practicum. You will then create a detailed plan that defines the overall approach, key stakeholders, major tasks, required resources, potential risks and mitigation strategies, project timeline and metrics used to measure results. Students present their findings to the program's advisory board.

Course Themes

• Critical Thinking: Identify, define and scope a real-world supply chain or logistics challenge and develop a realistic and cost-effective solution.
• Data-Driven Decision Making: Collect actual performance data relevant to the change you are advocating and use it to validate your proposed solution.
• Integration and Collaboration: Work in teams to develop your project solution and present your findings.