Supply Chain Management Analytics
The value of Supply Chain Management Analytics runs deep, and its applications are endless. Enabling organizations to reduce costs, refine planning, and improve decision making, data holds the power to transform the efficiency of an organization’s supply chain.
Who Is This Program For?
This program will be particularly beneficial for:
- Mid-career professionals in operations-management roles with a focus on areas such as supply chain management, manufacturing, and logistics who are interested in refining their skill set and moving to the forefront of the field.
- Analysts working in areas such as retail, manufacturing, apparel, and fast-moving consumer goods who wish to build on their existing skill set and advance their career.
- Senior leaders or heads of operations who seek to adopt an analytical mindset to improve supply chain efficiency and achieve better business outcomes.
- Supply chain consultants who are interested in using innovative analytical tools and techniques for creating end-to-end supply chain solutions for their clients.
- Understand the roles of the supply chain and supply chain analytics in improving an organization's operational efficiency.
- Learn how to use the newsvendor formula to evaluate an organization's supply chain and understand how it responds to market demands.
- Understand the role of demand forecasting in supply chain management Discover methods of minimizing inventory, making better forecasts, improving revenue, and reducing costs and waste.
- Examine the role of network design in supply chain management and learn analytical techniques for optimizing efficiency.
- Unlock data-driven approaches to machine learning for supply chain management.
- Pinpoint an opportunity for improvement and apply program strategies to reimagine your organization’s supply chain management.
Module 1: Introduction to Supply Chain Management Analytics
Without Supply Chain Management Analytics, data is just numbers. Supply chain analytics gives form — and meaning — to data, allowing organizations to develop an up-to-the-minute understanding of their supply chain’s health. During the first week, you will learn the importance of supply chain analytics and explore the fundamental elements of the supply chain, including its role, impact, and key challenges.
Module 2: A Basic Supply Chain Management Analytics Model
Learn the core components of an efficient supply chain model and explore potential solutions to navigate through uncertainty. Then, take an in-depth look at the newsvendor model, a mathematical model used in operations management to determine optimal inventory levels.
Module 3: Demand Analytics
Relying on a combination of historical information, insights, and market intelligence about the future, forecasting enables organizations to build and maintain efficient supply chains. In this you will learn about the different methods of forecasting, review best-in-class examples, and apply the methods you’ve learned to see how forecasting informs the decision-making process.
Module 4: Inventory Analytics
Organizations must avoid out-of-stock merchandise, back orders, and delivery delays to remain competitive and respond to demand. Develop a thorough understanding of inventory decisions in the supply chain and the role that analytics plays. Review examples and use them to put optimization methods to the test.
Module 5: Network Design in Supply Chain
Learn about network design, the role it plays in supply chain analytics, and the factors affecting network design decisions. Then, run an optimization model to polish your decision-making skills.
Module 6: Machine Learning Applications for Supply Chain
Examine current machine learning trends and learn what’s next for the supply chain. In addition, take a closer look at an important application of machine learning — forecasting.