MindTap Business Statistics for Ragsdale's Spreadsheet Modeling & Decision Analysis, 8th Edition, [Instant Access], 2 terms (12 months)
8th Edition
ISBN: 9781337274876
Author: Cliff Ragsdale
Publisher: Cengage Learning US
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As part of Amazon logistics analytics team, you are tasked with creating a new algorithm that optimizes package deliveries in NYC. Specifically, your goal is to predict how many Amazon's own delivery vehicles (i.e. not UPS/USPS/FedEx) Amazon will need to send to streets of NYC on any given day. Explain which factors you might consider including in your prediction model and why. Suggested options include shipping costs for customers (1day/2day/5day), number of warehouses in the area (affects distance driven by vehicles), pick-up options such as Amazon Lockers in Whole Foods stores, number of deliveries fulfilled by UPS (as opposed to Amazon's own fleet), all kinds of traffic fees (tolls/parking fees/etc.).
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- which of the following would be calculated variable from other data: 1. Product Sales Price 2. Product availability 3. Coupon Availability 4. Average Customer ratingarrow_forwardB. 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 12arrow_forwardThinking tools service assembles customized personal computers from generic parts. Formed and operated by part-time Svci students paulette cruz and maureen luis, the company has had steady growth since it started. The company assembles computers mostly at night, using part time students. Paulette and Maureen purchase generic computer parts in volume at a discount from a variety of sources whenever they see a good deal. Thus, they need a good forecast of demand for their computers so that they will know how many parts to purchase and stock. They have compiled demand data for the last 12 months as reported below A. Use exponential smoothing with smoothing parameter a=0.2 to compute the demand forecast for january (period 13) B. Use exponential smoothing with smoothing parameter a=0.5 to compute the demand forecast for january (period 13). C. Paulette believes that there is an upward trend in the demand, the initial forecast is 37 and the trend over this period is 0 units. Use…arrow_forward
- Please do not give solution in image format thankuarrow_forwardDiscuss the problems associated with Big data for a large retail store with multiple branches in India.arrow_forwardThe Saki motorcycle dealer in the Minneapolis–St. Paul area wants to make an accurate forecast of demand for the Saki Super TXII motorcycle during the next month. Because the manufacturer is in Japan, it is difficult to send motorcycles back or reorder if the proper number is not ordered a month ahead. From sales records, the dealer has accumulated the following data for the past year: Month Motorcycle Sales January 9 February 7 March 10 April 8 May 7 June 12 July 10 August 11 September 12 October 10 November 14 December 16 a. Compute a 3-month moving average forecast of demand for April through January (of the next year). b. Compute a 5-month moving average forecast for June through January. c. Compare the two forecasts computed in (a) and (b), using MAD. Which one should the dealer use for January of the next year?arrow_forward
- Please help to solve step by step.arrow_forwardWhat advantages does adjusted exponential smoothing have over a linear trend line for forecasted demand that exhibits a trend?arrow_forwardA company has supplied the following data with respect to its three different types of fertilizers: FERTILIZER ANNUAL DEMAND AVERAGE INVENTORY COST PER SACK SACKS SACKS € 10-10-10 30000 5000 18 16-16-16 20000 3000 15 20-10-5 10000 2000 20 Calculate (assuming 50 sales weeks annually): a) the inventory turnover and weeks of supply for each fertilizer b) the average inventory turnover and average weeks of supplyarrow_forward
- Pls help ASAParrow_forwardPlease help with correct answers in details: Step by step Suppose these data show the number of gallons of gasoline sold by a gasoline distributor in Bennington, Vermont, over the past 12 weeks. Week Sales (1,000sof gallons) 1 17 2 21 3 20 4 24 5 18 6 17 7 21 8 19 9 22 10 21 11 16 12 22 (a) Compute four-week and five-week moving averages for the time series. Week Time SeriesValue 4-WeekMovingAverageForecast 5-WeekMovingAverageForecast 1 17 2 21 3 20 4 24 5 18 6 17 7 21 8 19 9 22 10 21 11 16 12 22 b) Compute the MSE for the four-week moving average forecasts. (Round your answer to two decimal places.) c) Compute the MSE for the five-week moving average forecasts. (Round your answer to two decimal places.) d) What appears to be the best number of weeks of past data (three, four, or five) to use in the moving average computation? MSE for the three-week moving average is 9.65.…arrow_forwardFollowing data on the demand for sewing machines manufactured by Taylor and Son Co. have been compiled for the past 10 years. Year 1971 1972 1973 1974 1975 78 1976 1977 1978 1979 99 1980 106 Demand 58 65 73 76 87 88 93 in (1000 units) Please estimate the value of demand for next 3 years using trend analysis.arrow_forward
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