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September 13, 2024
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This course is part of Leverage Data Science for a More Agile Supply Chain Specialization
Instructor: Paul Jan
12,251 already enrolled
Included with
(220 reviews)
Recommended experience
Intermediate level
At least 1-2 years of supply chain management experience is recommended.
(220 reviews)
Recommended experience
Intermediate level
At least 1-2 years of supply chain management experience is recommended.
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.
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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.
Welcome to Module 1, Demand Planning. In this module, we will explore demand planning, how to identify influencing factors, how to differentiate between the three simple statistical forecast types, and how to compute a few forecast values.
2 videos2 readings1 assignment1 discussion prompt
Welcome to Module 2, Supply Planning. In this module, we will discuss the basics of supply planning, how to confirm internal & external capacity, how to confirm material availability, and the importance of communication and data sharing to supply planning.
1 video3 readings1 assignment1 discussion prompt
Welcome to Module 3, Constrained Forecast. In this module, we will discuss constrained forecasts and consensus meetings. Specifically, we will cover the purpose and creation of constrained forecasts and how consensus meetings are utilized to reach organizational goals.
1 video2 readings1 assignment1 discussion prompt
Welcome to Module 4, Measure Results. In this module, we will discuss measuring results through collecting actual performance results and calculating forecast errors. Specifically, we will discuss the purpose of measuring results, the types of metrics used when measuring results, and common error measurements and their advantages and disadvantages.
1 video1 reading1 assignment1 discussion prompt
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220 reviews
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Reviewed on May 14, 2023
Good. easy to understand. Have essential value in working
Reviewed on Oct 13, 2023
Muy bueno. Fácil de entender, si se tiene algún conocimiento previo de estadística o experiencia laboral en Supply Chain.
Reviewed on Aug 2, 2023
Great course to learn about statistics, really learned and enjoyed new concepts and about supply chain management
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