Example: bottled water at Kroger (Homework)=MonthActualForecastedα = 0.3Jan1,3251,370Feb1,3531,361Mar1,3051,359Apr1,2751,349May1,2101,334Jun?1,309solve the acutal sales in jun usingExponential smoothing: the methodAssume that we are currently in period. We calculated theforecast for the last period (F) and we know the actual demandlast period (4.) ...F₁=F₁₁+a(A₁-F₁)The smoothing constant a expresses how much our forecast willreact to observed differences...If a is low: there is little reaction to differences.If a is high: there is a lot of reaction to differences.

Given , forecast and actual sell for the given months. To find the actual sell for the Jun month,by…

Example: bottled water at Kroger (Homework) Month Actual Forecasted a=0.3 Jan 1,325 1,370 Feb 1,353 1,361 Mar 1,305 1,359 Apr 1,275 1,349 May 1,210 1,334 Jun ? 1,309 ve the acutal sales in jun using Exponential smoothing: the method Assume that we are currently in period r. We calculated the forecast for the last period (F) and we know the actual demand last period (d)

Example: bottled water at Kroger (Homework) Month Actual Forecasted a=0.3 Jan 1,325 1,370 Feb 1,353 1,361 Mar 1,305 1,359 Apr 1,275 1,349 May 1,210 1,334 Jun ? 1,309 ve the acutal sales in jun using Exponential smoothing: the method Assume that we are currently in period r. We calculated the forecast for the last period (F) and we know the actual demand last period (d)

Principles of Heat Transfer (Activate Learning with these NEW titles from Engineering!)

8th Edition

ISBN:9781305387102

Author:Kreith, Frank; Manglik, Raj M.

Publisher:Kreith, Frank; Manglik, Raj M.

Chapter5: Analysis Of Convection Heat Transfer

Section: Chapter Questions

Problem 5.12P

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We are using simple exponential smoothing to predictmonthly electric shaver sales at Hook’s Drug Store. At theend of October 2006, our forecast for December 2006 saleswas 40. In November 50 shavers were sold, and duringDecember 45 shavers were sold. Suppose a 0.50. At theend of December, 2006, what is our prediction for the totalnumber of shavers that will be sold during March and Aprilof 2007?
The Antoine Equation can be used to estimate vapor pressure at various temperatures for different substances using sets of empirically-derived constants. The equation can be written as: Where for water A = 8.07131, B = 1730.63, C = 233.426, T = temperature [°C], and P = vapor pressure [mmHg]. Note that with these constants the temperature and pressure must be provided in °C and mmHg, respectively. Using the Antoine Equation and the provided constants, what atmospheric pressure (provided in terms of % of standard atmospheric pressure) will permit water to boil at 75 °C?
A cup of coffee with cooling constant k = 0.09 min- 1 is placed in aroom at temperature 20°C.(a) How fast is the coffee cooling (in degrees per minute) when its temperature is T = 80° C?(b) Use the Linear Approximation to estimate the change in temperatureover the next 6 s when T = 80°C.( c) If the coffee is served at 90°C, how long will it take to reach an optimaldrinking temperature of 65°C?
The same engineer decides to look into rates of cooling for liquids toexperiment with different cooling solutions for servers. She finds thatthe rate of cooling for one liquid can be modelled by the equation:y = 48 × 0.99t(0 ≤ t ≤ 80)where y is the temperature of the liquid in degrees Celsius and t is thetime in minutes.(i) State whether the type of reduction for this model is linear orexponential. Describe how reduction rate differs between linear andexponential functions. (ii) Calculate the temperature when t = 20. [3](iii) Write down the scale factor and use this to find the percentagedecrease in the temperature per minute. (iv) Use the method shown in Subsection 5.2 of Unit 13 to find the timeat which the temperature is 30◦(v) Determine the halving time of the temperature.
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Need help with engineering problem. Match the RTT term with its explanation: A: ddt(∫CVβρdᏉ) B: ∫CSβρVcosθdAout C: ∫CSβρVcosθdAin A. B. C. Match one of the following answers below to each letter. A change within the control volume Outflow of B from the ontrol volume Inflow of B to the control volume
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Forecast sales for the 7th period. For leveling, use exponential smoothing 0.20 and moving average 3 for averaging; and linear and exponential functions for trend data. Assume an initial exponential forecast of 60 units in period 2 if you decide to use it (i.e., no forecast for period 1). Period Demand 1 67 2 72 3 68 4 20 5 70 6 66 7 68
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A special case of a linear function occurs when we talk about direct variation. If the quantities x and y are related by an equation y − kx for some constant k ± 0, we say that y varies directly as x, or y is proportional to x. The constant k is called the constant of proportionality. Equivalently, we can write fsxd − kx, where f is a linear function whose graph has slope k and y-intercept 0. (a) As dry air moves upward, it expands and cools. If the ground temperature is 20°C and the temperature at a height of 1 km is 10°C, express the temperature T (in °C) as a function of the height h (in kilometers), assuming that a linear model is appropriate. (b) Draw the graph of the function in part (a). What does the slope represent?(c) What is the temperature at a height of 2.5 km?
As measured by NASA’s Viking landers, the atmosphereof Mars, where g ≈ 3.71 m/s 2 , is almost entirely carbondioxide, and the surface pressure averages 700 Pa. The temperatureis cold and drops off exponentially: T ≈ T o e - Cz ,where C = 1.3E-5 m - 1 and T o = 250 K. For example,at 20,000 m altitude, T ≈ 193 K. ( a ) Find an analyticformula for the variation of pressure with altitude.( b ) Find the altitude where pressure on Mars has droppedto 1 pascal.