Prepare a graph of the monthly forecasts and average forecast demand for Chicago Paint Corp., a manufacturer of specialized paint for artists. Compute the demand per day for each month (round your responses to one decimal place) Month Production Days Demand Forecast Demand per Day
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- Under what conditions might a firm use multiple forecasting methods?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 1027.7My App is a small but growing start-up that sees demand for several of its apps increasing quickly. The table below shows the last six months of downloads. Use a forecast for the first month of 220,000, an initial trend forecast of 35,000, and smoothing parameters of 015 for both demand smoothing and trend smoothing Month (t) Monthly Application Downloads Forecast for Next Month Trend 220,000.00 35,000.00 200,000 2 250, 100 334,000 380,000 440,000 500,000 (Round your answers to 2 decimal places.) Complete the table above, filling in the "Forecast for next month" and "Trend" columns, using double a. exponential smoothing (Round your answers to 2 decimal places.) Month 7's forecast is b.
- st Info Period 1 2 3 4 5 6 7 8 9 10 K Develop two exponential smoothing forecasts for periods 2 through 11. For the first forecast, use a = 0.3. For the second, use α = 0.7. Assume that your forecast for period 1 was 205. Click the icon to view the time series data. Find the exponential smoothing forecast for each period when a = 0.3 (enter your responses rounded to one decimal place). Demand 222 249 222 228 235 155 161 153 163 152 X Period 1 2 Demand 222 249 Forecast (α = 0.3) 205Answer the following questions. 1. What is the current economic climate? 2. What should be our forecast accuracy target if there is a high degree of volatility in customer orders and long lead times? 3. We have a new chief sales officer who is proposing that we should forecast in dollars, not in units/cases. I have never heard of anyone forecasting in dollars. It is true that dollarized forecasts can help Sales in knowing precisely what sales target they should be hitting. But, is it the best practice?Prepare a graph of the monthly forecasts and average forecast demand for Chicago Paint Corp., a manufacturer of specialized paint for artists. Compute the demand per day for each month (round your responses to one decimal place). Month January February March April May June July August September October November December Choose the correct graph of the forecast demands below. OA Production Days 2222222222 23 19 20 21 20 23 21 20 19 Demand Forecast 950 1,050 1,250 1,350 1,300 1,300 1,250 1,150 1,050 1,000 1,000 950 Demand per Day 325
- 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…If ABC Corporation has following historical data about sales volume: Years Sales Years Sales Years Sales Years Sales 2001 110 2006 99 2011 100 2016 110 2002 112 2007 101 2012 104 2017 111 2003 122 2008 95 2013 108 2018 109 2004 111 2009 98 2014 102 2019 114 2005 104 2010 96 2015 115 2020 112 Note: All the sale values are in thousands. Required: Which type of forecasting approach is suitable for this type of data? Which forecasting technique is best to employ in order to forecast the above data? And also define the suggested technique. Calculate the predicted values by employing the discussed technique in part (b) on the above data.How are you going to make your forecast more effective? Give a concrete example.
- Practice with the following questions to deepen the understanding of different forecasting methods. The solutions are provided after you use the "check" function. Thank you for trying out HSP To get started with HSP read our getting started guide Actual demand for a product for the past three months was: • Three months ago 375 units • Two months ago 325 units • Last month 335 units a. Using a simple three-month moving average, make a forecast for this month. (Round your answer to the nearest whole number.) Forecast for this month units. b. If 300 units were actually demanded this month, what would your forecast be for next month, again using a 3-month moving average? (Round your answer to the nearest whole number.) Forecast for the next month units. c. Uning simple exponential smoothing, what would your forecast be for this month if the exponentially smoothed forecast for three months ago was 425 units and the smoothing constant was 0.20? (Round your answer to the nearest whole…Demand forecasting helps a company to respond quickly to market changesgiving the firm a competitive advantage. The process of forecasting establishesthe link between planning and control for the company, and facilitates theeffective output of the firm’s goods and services. A common quantitativemethod of forecasting is time series. Explain what is involved in time seriesanalysis and its significance to demand forecasting.Evaluate what is the purpose of a forecast. What factors does a firm use to create its forecasts of future sales, income, expenses, and capital expenditures?