CHIN 1001 Chapter : Chinese Vocab.pdf
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The production of Reliable Manufacturing Company for 2012 and part of 2013 follows.
2012 | 2013 | 2012 | 2013 | ||||||
Production | Production | Production | Production | ||||||
Month | (thousands) | (thousands) | Month | (thousands) | (thousands) | ||||
January | 6 | 7 | July | 1 | 2 | ||||
February | 5 | 9 | August | 6 | |||||
March | 13 | 12 | September | 15 | |||||
April | 8 | 6 | October | 5 | |||||
May | 4 | 4 | November | 9 | |||||
June | 4 | 5 | December | 3 |
a. | Using the ratio-to-moving-average method, determine the specific seasonals for July, August, and September 2012. (Round your answers to 1 decimal place.) |
July__________ , August _________, September ________ |
b. | Assume that the specific seasonal indexes in the following table are correct. Insert in the table the specific seasonals you computed in part (a) for July, August, and September 2012, and determine the 12 typical seasonal indexes. (Round your answers to 1 decimal place.) |
Year | Jan. | Feb. | Mar. | Apr. | May | June | July | Aug. | Sept. | Oct. | Nov. | Dec. |
2012 | ? | ? | ? | 92.8 | 106.2 | 92.2 | ||||||
2013 | 88.5 | 102.3 | 178.4 | 118.2 | 60.7 | 43.4 | 44.0 | 74.0 | 200.9 | 90.0 | 101.9 | 90.9 |
2014 | 87.6 | 103.7 | 170.2 | 125.9 | 59.4 | 48.6 | 44.8 | 77.7 | 196.1 | 89.1 | 113.8 | 80.3 |
2015 | 79.4 | 105.6 | 165.2 | 124.5 | 62.1 | 41.6 | 48.2 | 72.1 | 203.6 | 80.2 | 103.0 | 94.2 |
2016 | 89.0 | 112.1 | 182.9 | 115.1 | 57.6 | 56.9 | ||||||
Month | Seasonal index | |
Jan. _____ | ||
Feb. _____ | ||
March ______ | ||
April ______ | ||
May ______ | ||
June ______ | ||
July ______ | ||
August ______ | ||
Sept. _______ | ||
Oct. ________ | ||
Nov. _______ | ||
Dec. _______ | ||
c. | Interpret the typical seasonal index. |
The highest month above average was ___________ the lowest month below average was . (Use the number of the month for your answer. E.g. April = 4.) |
Permanent versus seasonal funds requirements. Manchester Industriesâ current, fixed, and total assets for each month of the coming year are summarized in the following table.
Month Current Fixed Total assets assets assets [(1) + ( 2 )] ( 1 ) ( 2 ) ( 3 )
January $ 15,000 $ 30,000 $ 45,000 February 22,000 30,000 52,000 March 30,000 30,000 60,000 April 18,000 30,000 48,000 May 10,000 30,000 40,000 June 6,000 30,000 36,000 July 9,000 30,000 39,000 August 9,000 30,000 39,000 September 15,000 30,000 45,000 October 20,000 30,000 50,000 November 22,000 30,000 52,000 December 20,000 30,000 50,000 |
a. Divide the firmâs monthly total funds requirement (total assets) into a permanent and a seasonal component.
b. Find the monthly average (1) permanent and (2) seasonal funds requirements using your findings in a.
Consider the following actual data for sales during the 12 months of 2012.
(a) Fill in the third column of 3-month moving average.
(b) Calculate the forecast value of sales in January of 2013.
(c) Calculate the forecast value of sales in February 2013 if January sales turn out to be 70,937.
(d) Use the data in question 6 to calculate 5-month weighted moving average to obtain the forecast value of sales in January 2013 if the last 5 months of 2012 are weighted by 0.12, 0.17, 0.15, 0.21, 0.19, respectively
Month | Actual Sales | Three-Month Moving Average | MAD1 | MAD2 |
January | 71,290 | |||
February | 70,912 | |||
March | 62,540 | |||
April | 64,258 | |||
May | 68,912 | |||
June | 70,512 | |||
July | 72,436 | |||
August | 70,887 | |||
September | 68,500 | |||
October | 64,312 | |||
November | 61,850 | |||
December | 66,275 |