Rutgers the State University of New Jersey

Supply Chain Planning

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Gain insight into a topic and learn the fundamentals.
4.7

(2,936 reviews)

Beginner level
No prior experience required
Flexible schedule
Approx. 13 hours
Learn at your own pace
85%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.7

(2,936 reviews)

Beginner level
No prior experience required
Flexible schedule
Approx. 13 hours
Learn at your own pace
85%
Most learners liked this course

Details to know

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Assessments

9 assignments

Taught in English

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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
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There are 4 modules in this course

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

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

What's included

4 videos7 readings4 assignments

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

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

Instructor

Instructor ratings
4.8 (539 ratings)
Rudolf Leuschner, Ph.D.
Rutgers the State University of New Jersey
17 Courses358,190 learners

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4.7

2,936 reviews

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