Question

In: Operations Management

Historical demand for iphones in a retail store is as follows: Sales    January 12 February...

Historical demand for iphones in a retail store is as follows:
Sales
   January 12
February 14
March 15
April 12
May 16
a) Using the simple mean method, find the June forecast.
b) Using a simple exponential smoothing with alpha = 0.1 and a January forecast = 13, find the June Forecast.
c) Use MAD to decide which method produced the better forecast.

Solutions

Expert Solution


Related Solutions

Historical demand for a product is DEMAND January 15 February 12 March 16 April 15 May...
Historical demand for a product is DEMAND January 15 February 12 March 16 April 15 May 17 June 16 a. Using a weighted moving average with weights of 0.60 (June), 0.20 (May), and 0.20 (April), find the July forecast. (Round your answer to 1 decimal place.) b. Using a simple three-month moving average, find the July forecast. (Round your answer to 1 decimal place.) c. Using single exponential smoothing with ? = 0.30 and a June forecast = 11, find...
Historical demand for a product is: DEMAND January 20 February 19 March 23 April 20 May...
Historical demand for a product is: DEMAND January 20 February 19 March 23 April 20 May 24 June 23 a. Using a weighted moving average with weights of 0.40 (June), 0.40 (May), and 0.20 (April), find the July forecast. (Round your answer to 1 decimal place.) July forecast b. Using a simple three-month moving average, find the July forecast. (Round your answer to 1 decimal place.) July forecast c. Using single exponential smoothing with ? = 0.30 and a June...
the cash sales and credit sales projected for sarahs kitchen are as follows: January february march...
the cash sales and credit sales projected for sarahs kitchen are as follows: January february march april may cash 17,000 19640 16200 15380 17390 credit 40,000 42000 48000 50000 49500 if collections of credit sales are 70% the first month and 30% the second month, what would be the cash receipts for march, april, and may
Handy Hardware is a retail hardware store. Information about the store’s operations follows. November 20x1 sales...
Handy Hardware is a retail hardware store. Information about the store’s operations follows. November 20x1 sales amounted to $450,000. Sales are budgeted at $490,000 for December 20x1 and $450,000 for January 20x2. Collections are expected to be 70 percent in the month of sale and 28 percent in the month following the sale. Two percent of sales are expected to be uncollectible. Bad debts expense is recognized monthly. The store’s gross margin is 25 percent of its sales revenue. A...
Stine Co. is a retail store operating in a state with a 6% retail sales tax.
Stine Co. is a retail store operating in a state with a 6% retail sales tax. The retailer may keep 2% of the sales tax collected. Stine Co. records the sales tax in the Sales account. The amountrecorded in the Sales account during May was $148,400. 99. The amount of sales taxes (to the nearest dollar) for May isa. $8,726. b. $8,400. c. $8,904. d. $9,438.The amount of sales taxes payable (to the nearest dollar) to the state for the...
Vaughn Co. is a retail store operating in a state with a 7% retail sales tax....
Vaughn Co. is a retail store operating in a state with a 7% retail sales tax. The retailer may keep 2% of the sales tax collected. Vaughn Co. records the sales tax in the Sales Revenue account. The amount recorded in the Sales Revenue account during May was $747930. The amount of sales taxes payable (to the nearest dollar) to the state for the month of May is $37307. $47951. $51310. $61874.
Month Actual Sales Forecast Sales January 8 10 February 11 10 March 12 10 April 14...
Month Actual Sales Forecast Sales January 8 10 February 11 10 March 12 10 April 14 10 -Compute the RSFE, MAD and tracking signals for months January to April?
Historical demand for a product is as follows: April                60 May                 60 Jun
Historical demand for a product is as follows: April                60 May                 60 June                55 July                 75 August             80 September       75 (a.) Using a simple four-month moving average, calculate a forecast for October. (b.) Using single exponential smoothing with alpha=0.3 and a September forecast =70, calculate a forecast for October. (c.) Using simple linear regression, calculate the trend line (Yt) for the historical data. The X-axis scale is: April = 1, May = 2, and so forth. Y-axis is Demand from...
Historical demand for a product is as follows: DEMAND April 61 May 56 June 81 July...
Historical demand for a product is as follows: DEMAND April 61 May 56 June 81 July 61 August 86 September 81 a. Using a simple four-month moving average, calculate a forecast for October. (Round your answer to 2 decimal places.) b. Using single exponential smoothing with α = 0.30 and a September forecast = 64, calculate a forecast for October. (Round your answer to 2 decimal places.) c. Using simple linear regression, calculate the trend line for the historical data....
Winfield Company operates a retail store a) Below is a table containing monthly sales and sales...
Winfield Company operates a retail store a) Below is a table containing monthly sales and sales staff compensation, in dollars for the previous year. Use the high-low method to create an equation in the form Y = a+ bX to describe the behavior of sales staff compensation. Month Comp Sales 1 412,700 1,808,000 2 386,000 1,659,000 3 359,700 1,512,000 4 346,500 1,138,000 5 359,400 1,218,900 6 341,000 1,233,000 7 366,500 1,409,300 8 364,200 1,437,000 9 400,100 1,616,600 10 443,000 1,833,000...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT