Question

An operations manager, after monitoring the production forecast for the last 12 months, calculated the following...

An operations manager, after monitoring the production forecast for the last 12 months, calculated the following errors: MAD=34.7; MSE=127.6; MAPE=12.5%. She then collected actual vs forecast data for an additional 8 months:

Period 1 2 3 4 5 6 7 8
Actual - Forecast 30 27 -25 13 -31 5 -12 18

A) Calculate 3 sigma upper and lower control limits for the data

B)using these limits is most recent forecast "in-control"?

C)should she consider changing the forecasting methodology?

0 0
Add a comment Improve this question Transcribed image text
Answer #1

Solution:-

Given data:-

MAD=34.7

MSE=127.6

MAPE=12.5%

(a)Calculate 3 sigma upper and lower control limits for the data?

3 sigma upper control limit = 0+3 sqrt(MSE)

Where MSE=127.6

3 sigma upper control limit = 0+3 sqrt(127.6)

3 sigma upper control limit = 33.88805099

3 sigma lower control limit = 0-3sqrt(MSE)

Where MSE=127.6

3 sigma lower control limit = 0-3sqrt(127.6)

3 sigma lower control limit = -33.88805099

(b)Using these limits is most recent forecast "in-control"?

We can see forecast errors for additional 8 months are within control limits.

(c)Should she consider changing the forecasting methodology?

No she should not consider changing the forecasting methodology

Add a comment
Know the answer?
Add Answer to:
An operations manager, after monitoring the production forecast for the last 12 months, calculated the following...
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for? Ask your own homework help question. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions
  • 690 The manager of the Petroco Service Station wants to forecast the demand for unleaded gasoline next month so that...

    690 The manager of the Petroco Service Station wants to forecast the demand for unleaded gasoline next month so that the proper number of gallons can be ordered from the distributor. The owner has accumulated the following data on demand for unleaded gasoline from sales during the past 12 months: Month Gasoline Demanded (gal.) October 800 November 725 December 630 January 500 February 645 March 730 May 810 June 1,200 980 August 1,000 September 850 e. Compute linear trend line...

  • Two different forecasting techniques (F1 and F2) were used to forecast demand for cases of bottle...

    Two different forecasting techniques (F1 and F2) were used to forecast demand for cases of bottled water. Actual demand and the two sets of forecasts are as follows: PREDICTED DEMAND Period Demand 68 75 70 74 69 72 80 78 F1 67 F2 60 62 70 72 75 75 76 85 73 74 70 71 75 a. Compute MAD for each set of forecasts. Given your results, which forecast appears to be more accurate? (Round your answers to 2 decimal...

  • Two different forecasting techniques (F1 and F2) were used to forecast demand for cases of bottled...

    Two different forecasting techniques (F1 and F2) were used to forecast demand for cases of bottled water. Actual demand and the two sets of forecasts are as follows: PREDICTED DEMAND Period Demand F1 F2 1 68 62 67 2 75 69 68 3 70 72 70 4 74 66 70 5 69 73 72 6 72 65 76 7 80 74 79 8 78 74 85 a. Compute MAD for each set of forecasts. Given your results, which forecast appears...

  • Two different forecasting techniques (F1 and F2) were used to forecast demand for cases of bottled...

    Two different forecasting techniques (F1 and F2) were used to forecast demand for cases of bottled water. Actual demand and the two sets of forecasts are as follows: PREDICTED DEMAND Period Demand F1 F2 1 68 63 62 2 75 66 61 3 70 73 70 4 74 65 71 5 69 71 73 6 72 69 73 7 80 70 76 8 78 72 80 a. Compute MAD for each set of forecasts. Given your results, which forecast appears...

  • Please solve for the standard deviation step by step. Calculating Forecast Error Measures The following table...

    Please solve for the standard deviation step by step. Calculating Forecast Error Measures The following table shows the actual sales of upholstered chairs for a furniture manufacturer and the forecasts made for each of the last 8 months. Calculate CFE, MSE, a, MAD, and MAPE for this product Month, Demand, D Forecast Error E Error, Squared, E Absolute Error, Absolute Percent Error, (END(100) 200 225 -25 625 25 12.5% 2 240 220 20 400 20 8.3 3 300 285 15...

  • Please help with questions 7 - 10. PART IV Planning and Controling Operations and Supply Chains...

    Please help with questions 7 - 10. PART IV Planning and Controling Operations and Supply Chains 290 period 1 was 250. Plot the results. Which model appears to work better? Why? 10. After graduating from college, you and your friends start selling birdhouses made from recycled plast has caught on, as shown by the following sales figures For problems 4 through 6, use the following time series data: The idea DEMAND MONTH January 2012 February March April May June 119...

  • TEST, I need Help A.S.A.P PLease!!! I need to submit this within the next hour and a half. It's...

    1. Regression is always a superior forecasting method to exponential smoothing, so regression should be used whenever the appropriate software is available. (Points :1)TrueFalse2. Time-series models rely on judgment in an attempt to incorporate qualitative or subjective factors into the forecasting model. (Points : 1)TrueFalse3. A trend-projection forecasting method is a causal forecasting method. (Points : 1)TrueFalse4. Qualitative models attempt to incorporate judgmental or subjective factors into the forecasting model. (Points : 1)TrueFalse5. The naive forecast for the next period...

  • please i need asap answer 1. Given the data below, compute for the following: a) Forecasts...

    please i need asap answer 1. Given the data below, compute for the following: a) Forecasts for P5 to P12 using a 4-period simple moving average b) Forecasts for P5 to P12 using a 4-month weighted moving average with the following weights: Most recent period = 0.40 2nd most recent period = 0.30 3rd most recent period = 0.20 4th most recent period = 0.10 Assuming a forecast of 5,000 units for Period 4 and a = 0.30, compute for...

  • The Actual demands in the last 4 periods are given. Which of the following statement is...

    The Actual demands in the last 4 periods are given. Which of the following statement is not true? Period Ai Weight 1 10 2 20 0.3 3 30 0.3 4 20 0.4 A. F5=23.33 using Moving Average and n=3 B. F5=20 using Naive Approach C. When the business environment is more dynamic, we tend to choose smaller smoothing constant value. D. F5=23 using Weighted Moving Average when n=3 and the weight is 0.4, 0.3, and 0.3 for period 4, 3,...

  • Question 1: Wendy's Happy Homes Inc manufactures Home Appliances. Monthly sales of Wendy's Washer...

    this is a really long assignment and I need help Question 1: Wendy's Happy Homes Inc manufactures Home Appliances. Monthly sales of Wendy's Washers and Dryer Sets for a nine month period were as follows: MONTH Washer and Dryer Sales 490 480 450 500 480 470 490 520 530 January February March April May June July August September Forecast October sales using 1) A four-month moving average 2) a six-month moving average 3. Compute the MAD for each forecast method...

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT