Note:-Do not provide handwritten solution. Maintain accuracy and quality in your answer. Take care of plagiarism.Answer completely.You will get up vote for sure. The following are monthly actual and forecast demand levels for May through December for units of a productmanufactured by the D. Bishop Company in Des Moines:MonthMayJuneJulyAugustSeptemberOctoberNovemberDecemberFor the given forecast, the tracking signalActual Demand10580110115108114130120Forecast Demand10410810198108102105107MADS (round your response to two decimal places).

Monthly actual and forecast demand levels for May to December for units of product manufactured by…

Answered: The following are monthly actual and…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Below is a table containing data on product demand for the most recent three months along with the forecasts that had been made for those three previous months. Calculate the MAPE. Month Demand Forecast 1 308 310 388 390 344 342 2.
The Fast Track Ski Shoppe sells ski goggles during the four months of the ski season.Average demand follows: a. Calculate the deseasonalized sales and the seasonal index for each of the fourmonths.b. If next year’s demand is forecast at 1200 pairs of goggles, what will be the forecast sales for each month?
Given the following data for demand at the XYZ Company, calculate the monthly forecast for 2003 using a 3-month moving average. Calculate the Forecast, Error, MAD (mean absolute percentage error), Bias and the TS (tracking signal) .
You have collected data on a firm’s sales (in units) for a product line during the past 16 weeks. Using the following forecasting technique, determine the forecast for period 17, 18, 19, and 20?: Additive seasonality (assume 5th month demand to be 240 units
The marketing manager of "ABC Tapes" wants to assess the competitiveness of the company's product in the market. Table 1 represents the prices and quantities of blank cassette tapes sold in January 2016 and January 2020. TABLE 1 2016 2020 Length of tapes Price Quantity Price Quantity 30 minutes R 4.00 32 R 5.60 40 60 minutes R 4 30 150 R 6.15 190 90 minutes R 4.60 100 R 7.40 130 Using 2016 as base and calculate for 2020 the following: Determine the Laspeyres price index: a) 149.492 Ob) 149.367 Oc) 66.949 d) 66.893
14. Given the following data for demand at the XYZ Company, calculate the monthly forecast using a 4-month moving average. Calculate the Forecast, Error, MAD (mean absolute percentage error), Bias and the TS (tracking signal) . Period Demand Forecast Error MAD Bias TS 2-Oct 2020 850 2-Nov 2020 950 2-Dec 2020 900 2-Jan 2021 1000 2-Feb 2021 950 2-Mar 2021 1050 2-Apr 2021 2-May 2021 850 800 2-June 2021 900 2-July 2021 1000
A famous Chinese restaurant would like to find out the change in demand on its dim-sum. After checking its purchase records in 2020 and 2021, the restaurant collected the data as follows: 2020 2021 Items Price ($) Quantity Price ($) Quantity Shrimp Dumpling 10 60 12 69 Spring Roll 7 51 62 Chicken Feet 8 73 9 77 (a) Using 2020 as the base year, calculate the Laspeyres Price Index of 2021. (b) Using 2020 as the base year, calculate the Paasche Price Index of 2021. (c) Using the result in part (a) and (b), calculate the Fisher Price Index of 2021.
Compare the primary types of forecasting methods used to determine demand.
Given the following demand for ten-period time frame as shown in the table below. Compute the three-period and five-period moving average forecasts. Plot the actual demand and the forecasts on the same graph. Period 1 2 3 4 5 6 7 8 9 10 Demand (in units) 24 25 28 32 35 38 41 46 49 53 Forecast Table: Period Actual 3-Moving Averages 5-Moving Averages 1 24 2 25 3 28 4 32 5 35 6 38 7 41 8 46 9 49 10 53 11
Provide a bar chart (with data labels rounded to two decimal points) showing the average demand for each day of the week (Sun., Mon., etc.) Day Date Weekday Daily Demand Weekend 1 4/25/2016 Mon 297 0 2 4/26/2016 Tue 293 0 3 4/27/2016 Wed 327 0 4 4/28/2016 Thu 315 0 5 4/29/2016 Fri 348 0 6 4/30/2016 Sat 447 1 7 5/1/2016 Sun 431 1 8 5/2/2016 Mon 283 0 9 5/3/2016 Tue 326 0 10 5/4/2016 Wed 317 0 11 5/5/2016 Thu 345 0 12 5/6/2016 Fri 355 0 13 5/7/2016 Sat 428 1 14 5/8/2016 Sun 454 1 15 5/9/2016 Mon 305 0 16 5/10/2016 Tue 310 0 17 5/11/2016 Wed 350 0 18 5/12/2016 Thu 308 0 19 5/13/2016 Fri 366 0 20 5/14/2016 Sat 460 1 21 5/15/2016 Sun 427 1 22 5/16/2016 Mon 291 0 23 5/17/2016 Tue 325 0 24 5/18/2016 Wed 354 0 25 5/19/2016 Thu 322 0 26 5/20/2016 Fri 405 0 27 5/21/2016 Sat 442 1 28 5/22/2016 Sun 454 1 29 5/23/2016 Mon 318 0 30 5/24/2016 Tue 298 0 31 5/25/2016 Wed 355 0 32 5/26/2016 Thu 355 0 33 5/27/2016 Fri 374 0 34…
The National Entrepreneurship and Innovation Programme has initiated a business incubation venture ahead of schedule in the venture lifecycle. Something that must be done is to do a justification for the project. Since very little information is known about the project, the estimates are considered to be rough estimates. The accompanying table is the project manager’s gauge of the income that will occur throughout the following five years: End of Year Cash Flow In (GHC) Cash Flow Out (GHC) 1 0 500,000.00 2 300,000.00 90,000.00 3 400,000.00 100,000.00 4 100,000.00 175,000.00 5 50,000.00 35,000.00 What is the payback period for the project. show workings If the net present value (NPV) for each of the cash flows were calculated at a 10% interest rate, what would the NPV cash flow be at the end of five years? Comment on the feasibility of the project.
John Kittle, an independent insurance agent, uses a five-year moving average to forecast the number of claims made in a single year for one of the large insurance companies he sells for. He has just discovered that a clerk in his employ incorrectly entered the number of claims made four years ago as 1,400 when it should have been 1,200.a. What adjustment should Mr. Kittle make in next year’s forecast to take into account the corrected value of the number of claims four years ago?b. Suppose that Mr. Kittle used simple exponential smoothing with a = .2instead of moving averages to determine his forecast. What adjustment is now required in next year’s forecast? (Note that you do not need to know the value of the forecast for next year in order to solve this problem.)

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