Not long ago, platforms like Coursera (https://www.coursera.org/) or edX (https://www.edx.org/) started offering the possibility to enroll free courses, ranging from Law to Arts, Management, Sports and many more.
Since then thousands of people have had the opportunity to develop their skills, I’m among those thousands, and currently I’m working through passing the first of three courses offered by edX and focused on Supply Chain Management.
This first Course (CTL.SC1x Supply Chain and Logistics Fundamentals) runs for eleven weeks and covers all the basics of Supply Chain focusing on three main areas Demand Forecasting, Inventory Management, and Transportation Planning.
If you have the time and interest, this first course developed by the MIT presents each of the above topics in a clear and very structured way, including examples and assignments that will help you get the foundation you need to accomplish the following two courses.
Below you can see the Course schedule, taken from the edX website should you are interested in starting the course.
- Overview of SCM
An overview of supply chain management perspectives, core concepts, and basic approaches. It is a chance to get familiar with the edX platform, the discussion forum, and the course materials.
- Forecasting I: Introduction
We introduce demand management and focus specifically on demand forecasting. We will develop and use basic time series models.
- Forecasting II: Exponential Smoothing
We will expand the use of time series models to include Exponential Smoothing. We will develop and test different model forms for stationary, trend, and seasonality patterns.
- Forecasting IV: Causal Analysis & Special Cases
We introduce ordinary least squares regression that can be used for causal analysis. We finish the Forecasting section by discussing two special cases: intermittent demand and new product forecasting.
- Inventory I: Overview & Deterministic Demand
The inventory section opens up with the simplest inventory model: the Economic Order Quantity (EOQ)
- Inventory II: Stock Outs & Single Period Models
We now expand from our initial assumptions of deterministic and constant demand to allow for stochastic or random demand. In this module we restrict the time frame to a single period and develop what is called the Newsvendor Model.
- Inventory III: Probabilistic Demand Models
This week is spent developing and using the most common inventory policies in practice for both continuous and periodic review situations. We will spend a lot of time developing models that either minimize costs or meet a specified level of service.
- Inventory IV: Special Cases
We will show some methods for applying these inventory models for multiple items and multiple locations at the same time. We will wrap up the inventory section by discussing some real world implications and concerns.
- Transportation I: Fundamentals
The transportation section focuses on understanding the fundamentals of freight transportation from a global perspective. We will show how to make routing decisions with multiple legs and demonstrate how this also applies to any mode selection. We also show how to handle uncertainty in lead-times and demonstrate how this relates back to inventory policies.
- Transportation II: One To Many distribution
In this final transportation lesson, we introduce an approximation method for determining transportation costs. We demonstrate this approach on a common one-to-many distribution situation that most firms face. We finish this week – and the entire course – with a wrap up of the major concepts and some suggestions on using them in practice.
- Final Exam
The final exam covers all of the material in this course.
So here you go, if you feel like you want to give it a go, just register and look for the below course!
“CTL.SC1x Supply Chain and Logistics Fundamentals”