Week 12345
20 22 18 21 22
1. Forecast week 6 sales volume using a linear trend equation?
2. Forecast week six sales volume using a three-month adjusting average?
3. Forecast week six sales volume using the naïve approach?
4. Refer to your solution to the assignment problem. Using the mad, MSC, or mape as a measure of forecast accuracy, which of the following statements is the most accurate?
A. The naïve method is more accurate than the ma2 by all (mad, MSe, mape) measures
B. MA3 three is more accurate than the naïve by all MAD MSC M a PE measures
C.The mad is more accurate than the MSE or MAPE
D. The MAPE is more accurate Jen the Ma2
Problem 9
A project engineer has developed the following equation for the cost ofA system component C -1000+1500 P when C is the cost in dollars and P is the probability that the component will operate as expected the system is composed of two identical components both of which must operate for this system to operate. The engineer can spend 4000 on the two components (blank the numbers above or different then the original problem discuss in class)
11. Which of the following best depicts the expected behavior of sales of automatic dishwashers beyond 2014 assuming the Time series blank as expressed to the blank above seasonal?
12. For each year in which quarter is the sales of automatic dishwashers typically the best in terms of expected number of units to be sold?
13. Referred to the time series graph shown. Which of the following is represented by the smooth curve?
14. Refer to the time series graph. Which of the following is represented by the “learned” line?
Q15 using the given equation, seasonally unadjusted forecast for the fourth quarter of 2015?
Q16 using the given equation seasonally adjusted forecast for the fourth quarter of 2015?
17. During the fourth quarter 2013 the actual number of dishwashers sold was 470,000 units compared to the seasonally adjusted forecast refer to your assignment for the fourth quarter 2013 what is the forecast error for this quarter
Q18 if you were going to develop forecast for the first quarter of 2016 using the trend equation given above. what will be the time code (I.e. value of t) for this period ?
19. Assume you were the marketing manager of this outfit that is selling the dishwashers what is the likely consequences if for the fourth quarter 2014 you failed to consider i.e. you think that The sales of the product does not differ from quarter to quarter the seasonal differences and generating the forecast for the quarter.
22. Using the percent share numbers above compute the index or relative for quarter 3?
23. What is the likely consequence if for the third quarter 2015 the manager fails to consider the seasonal differences in generating the forecast for that quarter?
A. Nothing as seasonal differences do not matter for the service.
B. Many calls to the call center will be put on the whole longer or many calls will not be answered since the manager will schedule fewer people than what will be required.
C. Under utilize a shin of call-center staff, higher staff cost, and potential problem with cash flow.
24. What is the likely consequences if for the for the first quarter of 2015, the manager fails to consider the seasonal differences in generating the forecast for the quarter?
A. Nothing as seasonal differences do not matter for the service.
B. Many calls to the call center will be put on the whole longer or many calls will not be answered since the manager will schedule fewer people than what will be required.
C. Under utilize a shin of call-center staff, higher staff cost, and potential problem with cash flow.
25. Assume that the number of calls forecasted for the year 2014 as 50 million what is the seasonally adjusted forecast for the second quarter of 2014?
28. Refer to the regression equation expressing the relationship between PMI and Sales. By how much on average is sales changing per unit increase in PMI?
29 using linear regression equation to obtain an estimate of sale for november if PMI is projected to be 5
Q30 how much does the producer variable pmi explain the variation in sale?
Problem 9
A project engineer has developed the following equation for the cost ofA system component C -1000+1500 P when C is the cost in dollars and P is the probability that the component will operate as expected the system is composed of two identical components both of which must operate for this system to operate. The engineer can spend 4000 on the two components (blank the numbers above or different then the original problem discuss in class)
46. To the nearest two decimal places what is the largest component reliability express your answer as a percent that can be purchased with the given budget?
47. To the nearest two decimal places what is the largest system reliability express your answer as a percent that can be purchased with the given budget?
48. If the product engineer needs to have a 99% system reliability what is the manufactures component reliability that is needed?
49. If the product engineer needs to have a 99% system reliability how much should be spent on reliability for each component?
50. if the product engineer needs to have a 99% system reliability how much should be spent on reliability for the two components combined?
lous.9
problems_for_380.docx
