H. Wayne Huizenga Graduate School of Business and Entrepreneurship Nova Southeastern University Assignment for Course: QNT5040 – Business Modeling Submitted to: Submitted by: BASS Date of Submission: Title of Assignment: Electric Fan Case - Forecasting CERTIFICATION OF AUTHORSHIP: We certify that we the authors of this paper. Any assistance we received in its preparation is fully acknowledged and disclosed in the paper. We have also cited any sources from which we used data‚ ideas or words
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has been taken into consideration. In this paper we are addressing multi-criteria ABC inventory classification and a methodology to standardized each criterion and weight them for classification. The weight for each criterion is based on simple exponential smoothing weight assignments. With inclusion of weight for each criteria and normalizing the data a score is obtained for each item and the classification is done based on the normalized score. The procedure to standardize the criterion and weight
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2. T F Regression is always a superior forecasting method to exponential smoothing. 3. T F The 3 categories of forecasting models are time series‚ quantitative‚ and qualitative. 4. T F Time-series models attempt to predict the future by using historical data. 5. T F A moving average forecasting method is a causal forecasting method. 6. T F An exponential forecasting method is a time-series forecasting method. 7. T F
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Writing Complete Equations Practice For each of the following problems‚ write complete chemical equations to describe the chemical process taking place. Important note: There are a few physical processes on this sheet – You can’t write an equation for a physical process! 1) When lithium hydroxide pellets are added to a solution of sulfuric acid (dihydrogen sulfate)‚ lithium sulfate and water are formed. 2) When dirty water is boiled for purification purposes‚ the temperature is brought up to
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Number Expanded form Exponential form Base and exponent 10000 10 × 10 × 10 × 10 104 base 10‚ exponent 4 base ‚ exponent 5 64 2 × 2 × 2 × 2 × 2 × 2 26 base 2‚ exponent 6 64 (–2) × (–2) × (–2) × (–2) × (–2) × (–2) (–2)6 base –2‚ exponent 6 –32 (–2) × (–2) × (–2) × (–2) × (–2) (–2)5 base –2‚ exponent 5 Example 1: Write the following in exponential form. a. Minus nine to the power of six b. One fourth to the power of five c. Three square to the power of five Solution:
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types of BGB’s forecasts of exponential smoothing for number of cases and total expenses in August 2012 for the six types of BGB’s All the data are calculated through Microsoft Excel and results were presented through forecasting
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Forecasting Models NMIMS Forecasting techniques Qualitative models time series models causal models 1.Delphi method 1.moving averages 1.regression analysis 2.Opinion poll 2.exponential smoothing 2.multiple regression 3.Historical Analogy 3.econometric models 4.Field Surveys 5.Business barometers 6.Extrapolation Technique 7.Input-Out put Analysis 8.Lead Lag Analysis 9.Sales force composites 10.Consumer Market survey Simple Average Method
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ASSIGNMENT (2015-16) 1. During a socio-economic survey conducted in a rural area‚ the concerned authorities came to the conclusion that mean level of income in the area was Rs 150 per month with a standard deviation of Rs 20 and that income is approximately normally distributed. The total population of the area was 4000. Compute the number of people who fell into the following categories: (i) monthly income less than Rs 50 (ii) monthly income greater than Rs 100 but less than or equal to
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statements are based on the accounting equation. This equation presents the resources of a company and the claims to those resources. Assets are economic resources that are expected to produce a benefit in the Future Liabilities are outsider claims. They are debts that are payable to outsiders‚ called creditors. Owners’ equity (also called capital or stockholders equity for a corporation) represents the insider claims of a business. The accounting equation shows the relationship among assets‚ liabilities
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in cell number but during the early lag phase‚ there is only very minimal. Towards the end of the lag phase‚ from time 60 to 150 minutes‚ there is a more significant increase in microbial population. The next phase‚ log phase or exponential
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