## All Weeks Supply Chain Planning Coursera Quiz Answers

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.

## Table of Contents

- All Weeks Supply Chain Planning Coursera Quiz Answers

### Supply Chain Planning Week 1 Quiz Answers

#### Quiz 1: Naive Forecast Practice Quiz

Q1. Which of the following is the naive forecast formula?

**F_t = D_t-1**- F_t = a*D_t-1 + (1-a)*F_t-1

Q2. How would you describe the naive forecast?

**How would you describe the naive forecast**

Q3. What is the value of the last forecast you can create? (it would be period 31)

**It will be very difficult to describe the naive forecast**

#### Quiz 2: Cumulative Mean Practice Quiz

Q1. How would you describe the cumulative mean method in words?

**It will be very difficult to describe the naive forecast**

Q2. Which one is the formula for the cumulative mean?

**Formula**

Formula

Q3. What is the value (after rounding) of the last forecast you can create? (period 31)

**31-5**

#### Quiz 3: Naive Forecast and Cumulative Mean Assessment

Q1. For Product A, what would you predict in period 31 using the Naive Forecast?

**98**

Q2. For Product B, what would you predict in period 31 using the Naive Forecast?

**97**

Q3. For Product C, what would you predict in period 31 using the Naive Forecast?

**150**

Q4. For Product D, what would you predict in period 31 using the Naive Forecast?

**187**

Q5. For Product E, what would you predict in period 31 using the Naive Forecast?

**202**

Q6. For Product A, what would you predict in period 31 using the Cumulative Mean Forecast?

**100**

Q7. For Product B, what would you predict in period 31 using the Cumulative Mean Forecast?

**99**

Q8. For Product C, what would you predict in period 31 using the Cumulative Mean Forecast?

**156**

Q9. For Product D, what would you predict in period 31 using the Cumulative Mean Forecast?

**180**

Q10. For Product E, what would you predict in period 31 using the Cumulative Mean Forecast?

**202**

### Supply Chain Planning Week 2 Quiz Answers

#### Quiz 1: Forecast Accuracy Practice Quiz

Q1. Why is the mean error important?

**Error important means the error that cant be ignore**

Q2. What is the primary use of the MAPE?

**Mape is used in making algorithms and structures**

Q3. Why is the MSE important? (i.e. why should you use it?)

**It is the backbone of the supply chain**

Q4. In the example shown in the screencast, what is the result of the mean error? (.xx)

**55**

#### Quiz 2: Forecast Accuracy

Q1. What is the mean squared error for the cumulative mean forecast for Product A? (format x.xx, xx.xx or xxx.xx)

**55.5**

Q2. What is the mean absolute percent error for the cumulative mean forecast for Product B? (format x.xx or xx.xx)

**9**

Q3. What is the mean error for the cumulative mean forecast for Product C? (format x.xx or -x.xx)

**7.32**

Q4. What is the mean absolute percent error for the cumulative mean forecast for Product D? (format x.xx or xx.xx)

**5**

Q5. What is the mean error for the cumulative mean forecast for Product E? (format x.xx)

**98**

#### Quiz 3: Moving Average

Q1. For Product A, what would you predict in period 31 using the Moving Average (N=3) Forecast?

**10.7**

Q2. For Product B, what would you predict in period 31 using the Moving Average (N=3) Forecast?

**5.16**

Q3. For Product C, what would you predict in period 31 using the Moving Average (N=3) Forecast?

**2.55**

Q4. For Product D, what would you predict in period 31 using the Moving Average (N=3) Forecast?

**5.24**

Q5. For Product E, what would you predict in period 31 using the Moving Average (N=3) Forecast?

**47.9**

Q7. What is the mean absolute percent error for the moving average forecast (N=3) for Product B? (format x.xx)

**-0.5**

Q8. What is the mean error for the moving average forecast (N=3) for Product C? (format x.xx)

**-0.56**

Q9. What is the mean absolute percent error for the moving average forecast (N=3) for Product D? (format x.xx)

**6.42**

Q10. What is the mean squared error for the moving average forecast (N=3) for Product E? (format x.xx, xx.xx, or xxx.xx)

**197.67**

### Supply Chain Planning Week 3 Quiz Answers

#### Quiz 1: Exponential Smoothing Practice Quiz

Q1. Which of the following formulae represents the exponential smoothing forecast?

**Option 1**

Q2. What does exponential smoothing do?

**It gives the power of that number**

Q3. What does the coefficient alpha do?

**Alpha does not do anything it is just a constant**

Q4. What is the exponential smoothing forecast for period 31? (Alpha = 0.2)

**31*0.2**

#### Quiz 2: Exponential Smoothing Forecast

Q1. For Product A, what would you predict in period 31 using the Exponential Smoothing (alpha = 0.1) Forecast?

**101**

Q2. For Product B, what would you predict in period 31 using the Exponential Smoothing (alpha = 0.2) Forecast?

**97**

Q3. For Product C, what would you predict in period 31 using the Exponential Smoothing (alpha = 0.3) Forecast?

**152**

Q4. For Product D, what would you predict in period 31 using the Exponential Smoothing (alpha = 0.4) Forecast?

**177**

Q5. For Product E, what would you predict in period 31 using the Exponential Smoothing (alpha = 0.5) Forecast?

**208**

Q6. What is the mean absolute percent error for the exponential smoothing forecast (alpha = 0.1) for Product A? (format x.xx)

**0.97**

Q7. What is the mean squared error for the exponential smoothing forecast (alpha = 0.2) for Product B? (format xx.xx)

- –
**1.7**

Q8. What is the mean squared error for the exponential smoothing forecast (alpha = 0.3) for Product C? (format xx.xx)

**22.34**

Q9. What is the mean error for the exponential smoothing forecast (alpha = 0.4) for Product D? (format x.xx)

**182.9**

Q10. What is the mean squared error for the exponential smoothing forecast (alpha = 0.5) for Product E? (format xxx.x)

**-1.1**

##### Supply Chain Planning Course Review:

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##### Conclusion:

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This course is intended for audiences of all experiences who are interested in learning about new skills in a business context; there are no prerequisite courses.

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