关于此课程： 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.

此课程适用人群： This course is for those looking to start a career in Supply Chain Management, but lack the basic background, for those working with people in Supply Chain Management and want to understand their daily challenges better, or for are fascinated by how demand is forecasted in today's supply chains.

制作方： Rutgers the State University of New Jersey

教学方： Rudolf Leuschner, Ph.D., Assistant Professor
Department of Supply Chain Management

基本信息	课程 3（共 5 门，Supply Chain Management Specialization ）
级别	初级
语言	English, 字幕： Greek
如何通过	通过所有计分作业以完成课程。
用户评分	4.6 星平均用户评分 4.6查看学生的留言

授课大纲

第 1 周

Simple Forecasting Methods, Naive Forecast and Cumulative Mean

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.

6 个视频, 6 个阅读材料, 2 个练习测验

Reading: Is this course for me?
Discussion Prompt: Introductions
视频: So, you want to forecast demand?
Discussion Prompt: Simple Forecasting Methods
Peer Review: Simple Forecasting Methods
视频: The Naive Forecast
Reading: Naive Forecast Example
视频: Naive Forecast Screencast
Practice Quiz: Naive Forecast Practice Quiz
Reading: Naive Forecast Solution
视频: The Cumulative Mean
Reading: Cumulative Mean Example
视频: Cumulative Mean Screencast
Practice Quiz: Cumulative Mean Practice Quiz
Reading: Cumulative Mean Solution
Reading: Naive Method and Cumulative Mean Quiz Instructions

已评分: Naive Forecast and Cumulative Mean Assessment

第 2 周

Forecast Accuracy and Moving Average

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

4 个视频, 7 个阅读材料, 2 个练习测验

Reading: Notes on Forecast Accuracy Measures
视频: Forecast Accuracy Measures Screencast
Practice Quiz: Forecast Accuracy Practice Quiz
Reading: Forecast Accuracy Solution
Reading: Forecast Accuracy Quiz Instructions
视频: Moving Average
Reading: Moving Average Notes
视频: Screencast on Moving Average
Reading: About Rounding
Practice Quiz: Moving Average Practice Quiz
Reading: Moving Average Solution
Reading: Moving Average Quiz Instructions

已评分: Forecast Accuracy

已评分: Moving Average

第 3 周

Exponential Smoothing and Forecast Selection

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.

3 个视频, 5 个阅读材料, 1 个练习测验

Reading: Exponential Smoothing Notes
视频: Exponential Smothing Screencast
Practice Quiz: Exponential Smoothing Practice Quiz
Reading: Exponential Smoothing Solution
Reading: Exponential Smoothing Quiz Instructions
Reading: Optimizing Exponential Smoothing
视频: Selecting the Best Forecast
Reading: Forecasting Best Practices
Peer Review: Selecting the Best Forecasting Method

已评分: Exponential Smoothing Forecast

第 4 周

Supply Chain Planning

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.

1 个视频, 1 个阅读材料