Required / find the expected demand for 2008 in the simple moving average and based on four time periods 2008 2007 2006 2005 2004 2003 2002 2001 2000 years 09 890 75 700 55 45 30 30 20 bulb dial
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A: Here, for each period, the demand data shows normally distributed with a mean value of 100 and a…
Q: 28
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A: answer) raise the present value and the price of the corporation's stock
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Q: Seasonal stocks have fixed transportation and handling charges. Select one: a. True b. False
A: Answer: Seasonal stock is also known as seasonal inventory which denotes particular types of…
Q: The historical demand for four period is 62, 52, 70, and 45 respectively. Using the Naïve method,…
A: Here, for four period, we have data of 62, 52, 70 and 45. Here, I have used Naive forecasting…
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A: SOLUTION: A. Budgeted sales price per unit = 900000/150000= $6 per unit Budgeted variable cost per…
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A: Find the given details below: Given Details: Year Sales 2017 1000000 2018 1200000…
Q: Find the expected demand for 2020. a = 0.6
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A:
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A: The variation in demands is a critical problem especially for manufacturing organizations as…
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A: Economic Order Quantity (EOQ): EOQ= √2DS/H EOQ= √2x50,000x$35/$2 EOQ =1,323 units The company…
Q: Objectives of Inventory Control in Procter & Gamble.
A: Procter and gamble is an American MNC that produces consumer goods. They offer a huge range of goods…
Q: 8. Weekly demand for detergent at a Walmart store is normally distributed, with a mean of 3,000 and…
A: Given D = 3000/week σd= 700 units Lead time L = 2 weeks Q = 10000 units Reorder point = 7000 units
Q: Demand (D) = 2,000 units/year, normally distributed Standard deviation of weekly demand = 3 units…
A: The answer is as below:
Q: Annual demand for a product is normally distributed with mean 2300 units and standard deviation 150…
A: Given, Lead time=4 weeks 1year=52 weeks Standard deviation 150 units Mean 2300 units
Q: What is the distinction between simulated and projected average demand:
A: Difference between average and anticipated simulated demand
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A: The correct answer is
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Q: What is the quantity that Dan should order to maximize his expected profit?
A: Here, I would determine the Optimal order quantity, so, I could maximize the expected profit, the…
Q: Which shift in the demand curve is most likely to describ competitive market that begins to spend…
A: could give you an intuition to approach this question. Hope this helps.
Q: at is the economic order quantity?
A: EOQ= Square root of 2DS/H
Q: Demand forecasting and planning is not a part of inventory management function. Select one :…
A: So we can say that where I think demand forecasting and planning is not a part of inventory…
Q: Kenneth's Auto Tire sells all types of tires, but a popular r portion of Harry's overall sales.…
A: Given data: Demand for Tires Frequency(Days) 0 19 1 67 2 88 3 25 4 49 5 52 Here we…
Q: approach to demand analysis.
A: The demand of the product is the research that is done before introducing any product in the market…
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- The file P13_22.xlsx contains total monthly U.S. retail sales data. While holding out the final six months of observations for validation purposes, use the method of moving averages with a carefully chosen span to forecast U.S. retail sales in the next year. Comment on the performance of your model. What makes this time series more challenging to forecast?The Baker Company wants to develop a budget to predict how overhead costs vary with activity levels. Management is trying to decide whether direct labor hours (DLH) or units produced is the better measure of activity for the firm. Monthly data for the preceding 24 months appear in the file P13_40.xlsx. Use regression analysis to determine which measure, DLH or Units (or both), should be used for the budget. How would the regression equation be used to obtain the budget for the firms overhead costs?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: LO
- Given the demand data, answer the following questions below. Year Sales 1 - 123 2 - 118 3 - 109 4 - 112 5 -100 6 -110 7 -124 8 - ? What will be the forecast demand in Year 8 using Naïve method?a.) 120b.) 110c.) 115d.) 124cosmetics manufacturer's marketing department has developed a linear trend equation that can be used to predict annual sales of its popular Hand&Foot Cream. F t = 80 + 15t where Ft = Annual sales (000 bottles) t is in years Are annual sales increasing or decreasing? By how much?Calculate the 3-month weighted moving average, consider a weight of 0.5. Year Supplies2018 502019 752020 1302021 1102022 90
- Given the following data, calculate the average demand and the standard deviation. Period Actual Demand Deviation Deviation Squared 1 1700 2 2100 3 1900 4 2200 5 2000 6 1800 7 2100 8 2300 9 2100 10 1800 TotalThe long-term financial forecast plays a crucial part in the company's long-term strategic plan. True or False True False 25 28 étv N 4DFC Company has recorded the past years sales for the company: Year(t) Sales(x) (in Million Pesos) 2011(1) 2012(2) 2013(3) 2014(4) 2015(5) 2016(6) 2017(7) 2018(8) 2019(9) 2020(10) 219 224 268 272 253 284 254 278 282 298 Use the naïve model. Compute for MAE and MSE Use a three period moving average. Compute for the MAE and MSE Use the simple exponential smoothing to make a forecasting table. Compute the MAE and MSE of the forecasts. Alpha = 0.1 Use the least square method to make the forecasting table. Compute the MAE and MSE *** Use excel or r programming
- 9. Mancini's Pizzeria sells four types of pizza crust. Last week, the owner tracked the number sold of each type, and this is what she found. Type of Crust Number Sold Thin crust 344 Thick crust 240 Stuffed crust 175 Pan style 316 Based on this information, of the next 5000 pizzas she sells, how many should she expect to be thin crust? Round your answer to the nearest whole number. Do not round any intermediate calculations.The following are historical demand data: ACTUAL YEAR SEASON DEMAND 2 years ago Spring Summer 205 151 Fall 379 Winter Spring Summer 560 last year 481 268 679 959 Fall Winter Use regression analysis on deseasonalized demand to forecast next summer's demand. (Round your answer to the nearest whole number.) Forecast for next summer's demandA cosmetics manufacturer's marketing department has developed a linear trend equation that can be used to predict annual sales of Its popular Hand & Foot Cream. Ft = 100,000 - 16.000t Where F₁ = Annual sales t is in years (Enter all answers as whole numbers.) a. Are annual sales increasing or decreasing? By how much? Annual sales are b. Predict annual sales for year 8 using the equation. Annual sales for year 8 bottles bottles per year.