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Supply Chain Planning

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Rutgers the State University of New Jersey

Supply Chain Planning

This course is part of Supply Chain Management Specialization

Instructor: Rudolf Leuschner, Ph.D.

100,313 already enrolled

Included with

Learn more

4 modules

Gain insight into a topic and learn the fundamentals.

3,058 reviews

Beginner level

No prior experience required

Flexible schedule

1 week at 10 hours a week

Learn at your own pace

85%

Most learners liked this course

4 modules

Gain insight into a topic and learn the fundamentals.

3,058 reviews

Beginner level

No prior experience required

Flexible schedule

1 week at 10 hours a week

Learn at your own pace

85%

Most learners liked this course

Skills you'll gain

Tools you'll learn

Microsoft Excel

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

9 assignments¹

AI Graded see disclaimer

Taught in English

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Supply Chain Management Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 4 modules in this course

Have you ever wondered how companies know how much to produce in advance so that they do not make too much or too little? Matching supply and demand requires planning. This course introduces you to the exciting area of supply chain planning. Part of a broader specialization on Supply Chain Management, you will master different forecasting techniques, essential for building a Sales and Operations Plan. At the completion of this course you will have the tools and techniques to analyze demand data, construct different forecasting techniques, and choose the most suitable one for projecting future demand.

Module details

Welcome to the exciting world of planning! This module introduces you to the professor who is teaching the courses in the Supply Chain Management Specialization. You will also construct forecasting models that enable you to predict future demand. By the end of this short module, you'll know what to expect in the course and hopefully be as excited to learn about Supply Chain Planning as I will be to teach you. In this module, learners will review two simple forecasting methods, the naive method, and the cumulative mean. Finally, you will create forecasts of your own based on a data set and provide the correct answers in the quiz.

What's included

6 videos6 readings3 assignments1 peer review2 discussion prompts

6 videosTotal 21 minutes

What is Supply Chain Planning?1 minute
So, you want to forecast demand?5 minutes
The Naive Forecast4 minutes
Naive Forecast Screencast4 minutes
The Cumulative Mean3 minutes
Cumulative Mean Screencast5 minutes

6 readingsTotal 60 minutes

Is this course for me?10 minutes
Naive Forecast Example10 minutes
Naive Forecast Solution5 minutes
Cumulative Mean Example10 minutes
Cumulative Mean Solution5 minutes
Naive Method and Cumulative Mean Quiz Instructions20 minutes

3 assignmentsTotal 70 minutes

Naive Forecast Practice Quiz10 minutes
Cumulative Mean Practice Quiz30 minutes
Naive Forecast and Cumulative Mean Assessment30 minutes

1 peer reviewTotal 30 minutes

Simple Forecasting Methods30 minutes

2 discussion promptsTotal 20 minutes

Introductions10 minutes
Simple Forecasting Methods10 minutes

In this module, learners will cover two more sophisticated forecasting methods, the moving average and exponential smoothing.

What's included

4 videos7 readings4 assignments

4 videosTotal 21 minutes

Forecast Accuracy Measures4 minutes
Forecast Accuracy Measures Screencast5 minutes
Moving Average4 minutes
Screencast on Moving Average8 minutes

7 readingsTotal 95 minutes

Notes on Forecast Accuracy Measures15 minutes
Forecast Accuracy Solution15 minutes
Forecast Accuracy Quiz Instructions20 minutes
Moving Average Notes10 minutes
About Rounding10 minutes
Moving Average Solution5 minutes
Moving Average Quiz Instructions20 minutes

4 assignmentsTotal 90 minutes

Forecast Accuracy Practice Quiz30 minutes
Moving Average Practice Quiz30 minutes
Forecast Accuracy10 minutes
Moving Average20 minutes

In this module, you will master one more forecasting method - exponential smoothing. In addition, you will learn how to pick the best forecasting approach and what to do with the forecast once it is implemented.

What's included

3 videos5 readings2 assignments1 peer review

3 videosTotal 12 minutes

Exponential Smoothing4 minutes
Exponential Smothing Screencast6 minutes
Selecting the Best Forecast2 minutes

5 readingsTotal 75 minutes

Exponential Smoothing Notes10 minutes
Exponential Smoothing Solution5 minutes
Exponential Smoothing Quiz Instructions10 minutes
Optimizing Exponential Smoothing20 minutes
Forecasting Best Practices30 minutes

2 assignmentsTotal 60 minutes

Exponential Smoothing Practice Quiz30 minutes
Exponential Smoothing Forecast30 minutes

1 peer reviewTotal 60 minutes

Selecting the Best Forecasting Method60 minutes

In this module you will put your new forecasting skills to the test. You will analyze a real-life dataset and make recommendations on the different forecasting methods.

What's included

1 video1 reading1 peer review1 discussion prompt

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Instructor

Instructor ratings

(569 ratings)

Rudolf Leuschner, Ph.D.

Rutgers the State University of New Jersey

17 Courses451,577 learners

Offered by

Rutgers the State University of New Jersey

Learner reviews

5 stars
80.58%
4 stars
15%
3 stars
2.32%
2 stars
0.91%
1 star
1.17%

Showing 3 of 3058

Reviewed on Oct 9, 2024

Great course, one opportunity of improvement is to explain the philosophy behind using such forecasting model and what's next after utilizing such model. Anyways, it's a great course.

Reviewed on Jun 24, 2025

It is a good course on supply chain management, but it is also a bit challenging too. It'd be better with good writing and good algebra knowledge to understand, especially on supply chain planning.

Reviewed on Aug 27, 2025

The explanation is well details and the examples and formulas given were clear and easy to understand I learn alot, I personally enjoy the overall course thank you a lot.

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