Which of the following would not be an operations function in a fast-food restaurant? A) advertising and promotion The Dulac Box plant produces 500 cypress packing boxes in two 8-hour shifts. The use of new technology has enabled them to increase productivity by 30%. Productivity is now approximately D) 40.6 boxes/hr. 3.One reason for global operations is to gain improvements in the supply chain. A) True 4.Productivity is the total value of all inputs to the transformation process divided by the
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MAN 6501 - Operations Management Examination 1 Instructions 1. Give answers up to two decimal points only. 2. This is an open book/open notes examination. Students are required to work individually on the examination. 3. There are 30 questions. Questions 1 through 20 carry 2.5 points each and questions 21 through 30 carry 5.00 points each. 4. This examination carries 25% weight towards the final grade. 5. You have five hours of continuous time to finish the examination from the time
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that indicates how much on average each of the values in the distribution deviates from the mean (or center) of the distribution. Bollinger Bands‚ created by John Bollinger in the 1960s‚ is an indicator that uses this statistical measure to determine support and resistance levels. This indicator consists of three lines and is very simple to derive; the middle line is a simple moving average of the underlying price data and the two outside bands are equal to the moving average plus or minus one standard
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stormrelated sales. Appendix 18.1 Forecasting with Minitab In this appendix we show how Minitab can be used to develop forecasts using three forecasting methods: moving averages‚ exponential smoothing‚ and trend projection. Moving Averages CD file Gasoline To show how Minitab can be used to develop forecasts using the moving averages method‚ we will develop a forecast for the gasoline sales time series in Table 18.1 and Figure 18.5. The sales data for
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PROBLEM 4.9 A) Month Price per Chip ($) 2-month moving average January 1.8 February 1.67 March 1.7 1.735 April 1.85 1.685 May 1.9 1.775 June 1.87 1.875 July 1.8 1.885 August 1.83 1.835 September 1.7 1.815 October 1.65 1.765 November 1.7 1.675 December 1.75 1.675 January 1.725 B) Month Price per Chip ($) 3-month moving average January 1.8 February 1.67 March 1.7 April 1.85 1.72 May 1.9 1.74 June
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Z-10 mountain bike‚ with monthly sales as show in the table. First‚ co-owner Amit wants to forecast by exponential smoothing by initially setting February’s forecast equal to January’s sales with α=1. Co-owner Barbara wants to use a three-period moving average. 1. Is there a strong lineal trend in sales over time? 2. Fill in the table with what Amit and Barbara each forecast for May and the earlier months‚ as relevant. 3. Assume that May’s actual sales figure turns out to be 405. Complete
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June Demand 89 57 144 221 177 280 Month July August September October November December Demand 223 286 212 275 188 312 a. Determine the one-step-ahead forecasts for the demand for January 2000 using 3-‚ 6-‚ and 12-month moving averages. b. Using a four-month moving average‚ determine the one-step-ahead forecasts for July through December 1999. c. Compute MAD‚ MSE‚ MAPE for the forecasts obtained in b. Solution: a. MA (3) forecast: 258.33 MA (6) forecast: 249.33 MA (12) forecast: 205.33 b. Month
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x 950 1013 907 2005 1160 960 1025 1136 980 2006 1200 1032 1112 1158 1034 2007 1150 1087 1170 1196 1084 2008 1270 1137 1170 1155 1104 2009 1290 1186 1207 1259 1154 2010 x 1214 1236 1287 1195 B) Five-year moving average = 141.9 Three-year moving average = 78.6 Exponential smoothing (w = .9) = 45.7 Exponential smoothing (w = .3) = 110.9 C) I would use the exponential smoothing w=.9 because of the trending factor 6) A) In 2010 = 11450 units B) Sales would go from 11450
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for patterns in data -pattern vs noise‚ and noise is random and has zero average ideally -in real world. Noise is random but probably not with zero mean -time series usually decomposed into different affects (seasonality‚ tend‚ noise‚ etc) d(t) =(L+ back fit your data to see if you have a good forecast what would you do 1. Plot the data in excel forecast approaches were in order with charts moving average-look at last few periods and update each new period with the new data (ie
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Excel Chapter 8 Test 1) Match each term with the correct definition (15 points) A sequence of averages computed from parts of a data series that smoothes fluctuations in data to show a trend more clearly. Moving average In a moving average‚ the number of cells to include in the average. Interval Expenses that remain the same each month. Fixed expenses A point at which an entity covers its costs and starts to make a profit. Break-even A what-if
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