Use the table provided below showing rooms available, rooms sold and rooms revenue for 7 properties (subject hotel + comp set) for one month to compute occupancy index for the subject hotel. Rooms Available (Supply) Rooms Sold (Demand) Revenue The subject hotel 10'000 7'000 700'000 Hotel A 9'000 3'000 400'000 Hotel B 9'000 8'000 700'000 Hotel C 10'000 7'000 700'000 Hotel D 7'000 5'000 500'000 Hotel E 11'000 8'000 700'000 Hotel F 8'000 4'000 400'000
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- The following table shows the three-period moving average and five-period moving average for monthly sales of Budget Furniture's during 2019. Moving averages of Budget Furniture's Time period Months Sales Three-period moving average (rounded off to Five-period moving average four decimals) R'millions 1 Jan 7 5.0000 6.2 February 5.6667 6.6 March 5 7.0000 B 4 April 8.3333 8.2 May 7 9.3333 8.4 June 8.3333 9.6 7 July 12 8.6667 9.6 August 4 A 9.2 September 10 10.6667 10 October 13 10.6667 11 November 9 12 December 10 The seasonal index for the month of February in 2019 is: LOB. The following table shows the number of televisions sold over the last ten years at a local electronic store. year TV sales 1 150 2 300 3 480 4 600 5 630 6 640 7 700 8 825 9 900 10 980 i. Using the trend projection, develop a formula to predict sales for years 11 and 12. Develop a table to calculate the slope and intercept. Please Show All Working. Use that formula to forecast television sales for years 11 and 12Using the following information, forecast the rooms sales for the next three months for a 750-room lodging operation: Month Days Occupancy % Average Room Rate Month 1 30 65 $155 Month 2 31 80 175 Month 3 30 95 185
- The table below shows the sales for a plastics manufacturer recorded over the past year. The seasonal indexes for each quarter are also provided). To track the trend for these four quarters, use the indexes to deseasonalize the sales data. Quarter 1 Sales 738 Index 75.0 Deseasonalized Sales 234 1012 104.0 1196 121.0 962 100.0 What are deseasonalized sales for quarter 2? 973.1 1052.5 1291.5 1012.0 1027.7which of the following would be calculated variable from other data: 1. Product Sales Price 2. Product availability 3. Coupon Availability 4. Average Customer rating1. The table below shows the sales figure for a brand of shoe over the last 12 months. MONTHS SALES January 69 February 75 March 86 April 92 May 95 June 100 July 108 August 115 September 125 October 131 November 140 December 150 Using the following, forecast the sales for the months up to January the following year:- 1. A simple three month moving average.ii. A three period weighted moving average using weights of 1, 2 and 3. Assign the highest weight to the most recent data.iii. Exponential Smoothing when a= .6 and the forecast for March is 350.
- Use exponential smoothing with trend adjustment to forecast demand for period 11. Let α = 0.5, β= 0.3, and let the initial trend value be 12 and the initial forecast be 200. Period Actual Demand 1 200 2 212 3 214 4 222 5 236 6 221 7 240 8 244 9 250 10 266Develop an ABC graph for the data in Table 16. Whichitems should be classified A, B, and C?Item Annual Usage (in dollars)1 20,000 202 23,000 103 20,000 34 30,000 25 5,000 106 10,000 77 1,000 308 2,000 159 3,000 1010 5,000 6Data collected on the monthly demand for a certain product in thousands of dollars are shown in the following table. Month Demand 1 145.5 2 160 3 71 4 99 5 194.5 206 7 135.5 8 152.5 9. 246 10 259 11 181.5 12 194 a) Using a weighted moving average with three periods, determine the demand for period 13. Use 3, 2, and 1 for the weights of the most recent, second most recent, and third most recent periods, respectively b) Find the MAD, MSE and MAPE b) Use exponential smoothing with a smoothing constant of 0.30 to forecast the sales. Assume that last period's forecast for month 1 is equal to actual to begin the procedure Which method do you think is best? Is this an improvement over the weighted average- use MAD only
- Smart Phone covers sales for the past 12 months is given below. Management forecast's for the months of March, April, May, and June are listed Month Unit Sales Management's Forecast Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun 100 95 95 112 126 118 95 85 101 94 89 110 122 114 108 112 a) What is the MAD for the forecast developed by management sales (round your response to two decimal places) What in the MAPE for the forecast developed by management % (round your response to two decimal places). %3DWhat is the difference between simple moving average and weighted moving average?Source Available at: http://panmore.com/walmart-inventory-management [Accessed 18 July 2022] Reading the above, it becomes clear that good inventory management and forecasting can deliver supply chain success for and could ultimately lead to profitability and growth. In a report you are required to evaluate the importance of forecasting for Walmart Your report, must include but is limited to the following: • The importance of forecasting to Walmart. • Examine if a combination of both qualitative and quantitative forecasting may be best suited. • Argue the relevance of cloud-based forecasting for Walmart. NB: • The marks allocated next to each concept in the rubric below should serve only as a guide to the depth your discussion should cover. Your answer should be a minimum of 1 200 to a maximum of 1 500 words. Markers are to stop marking after the threshold of 1 500 words (two-and-a-half to three pages) has been reached. Please indicate the word count at the end of your answer. • You…