Supply chain planning is an important activity in any supply chain. This is where organizations get an idea of the upcoming demand, realize if they have the capacity to meet the demand, and determine how to realize these demands. In this course, we will explore how to use data science to conduct demand and supply planning, how to constrain the forecast, and how to measure the results. As we walk through this process, we will also explore how to use Excel to quantify each step.
This course is part of the Leverage Data Science for a More Agile Supply Chain Specialization
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About this Course
At least 1-2 years of supply chain management experience is recommended.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat you will learn
Describe how demand planning, supply planning, and constrained forecast are associated with one another.
Use Excel to analyze historical data to quantify future needs.
Measure and quantify results for improvement.
Skills you will gain
- Demand Planning
- Data Analysis
- Supply Chain
- constrained forecast
- supply planning
At least 1-2 years of supply chain management experience is recommended.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
Demand Planning
Supply Planning
Constrained Forecast
Measure Results
Reviews
- 5 stars62.85%
- 4 stars25.71%
- 3 stars2.85%
- 2 stars5.71%
- 1 star2.85%
TOP REVIEWS FROM SUPPLY CHAIN PLANNING
Content conveyed in a simple manner and topics are easy to understand.
The Course Materials are detailed which is very useful for understanding.
About the Leverage Data Science for a More Agile Supply Chain Specialization

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