took place at midnight due to the long commute)‚ but also to allow us to have more data about the incoming demand. To determine the proper level of order quantity and reorder point‚ we did a simple forecasting of incoming demand by using a simple linear regression analysis of observed demand for the first 50 days. Using this data we determined that the reorder point must be increased to 45 and the order quantity should be set at 250 kits. When we did
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Hold up Scenarios Scenario 1 Scenario 1) Player ’A’ grabs Player ’B’s shoulder and places a knife in his midsection in an attempt to rob him. Player ’B’ hollows out his midsection while simultaneously bringing his hands straight up and catching his weapons hand in the web of both hands and shifting to his right. From here ’B’ will quickly apply a wrist flex. Most people teach it the way shown here using both thumbs‚ but that is not the best way to apply this technique.......... If
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I. Objectives: • To verify Newton’s Second Law of Motion with the use of state-of-the-art devices II. Materials and Equipment: • 2.2 m Track- 1 pc • Plunger Cart- 1pc • Super pulley with clamp – 1pc • .500gram mass- 1pc • Stopwatch1- 1pc • Block ( to act as bumper)- 1pc • Beam Balance- 1 unit • String – 2m long • Set of Weights-1 set III. Data and Results Cart Mass Hanging Mass Trial1 Trial2 Trial3 Trial4 Trial5 Average Time 512g 13g 2.16s 2.15s 2.06s 2.0s 2.1s 2.09s 1016.5 27g
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Take-Home Mid-Term Chapters 1-4 Saint Francis University – Spring 2015 – John S. Miko Due February 24‚ 2015 40 points (40 points – 10 points each) Please solve each problem fully and answer any follow-up questions. Circle all answers. For the Linear Program models done in Excel Solver‚ I would not only like you to print the spreadsheet with the end results but I also want to see the Decision Variables‚ Objective Function‚ and Constraints that you modeled using Excel Solver. This portion can be
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Introduction Tropical island reef flats serve as habitats for a diverse range of organisms. Among these organisms is an abundance of macroalgae. Macroalgae may even be numerous enough to comprise most of the benthic area near a reef (Carpenter 1986‚ Villaça et al. 2010‚ Hay 1981). The large presence of macroalgae corresponds to a large role as primary producers (Carpenter 1986). Thus‚ these organisms can play an important part in marine food webs. Aside from the effects of herbivores‚ macroalgae
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Optimal fab design and deployment‚ IEEE Trans Semiconduct Manufact 12 (1999)‚ 281–287. [6] S. Bermon and S.J. Hood‚ Capacity optimization planning system (CAPS)‚ Interfaces 29 (1999)‚ 31–50. [7] J.R. Birge‚ Option methods for incorporating risk into linear capacity planning models‚ Manufact Serv Oper Manage 2 (2000)‚ 19–31.
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3.4 Thermal Effect Shear strain In general‚ increase in temperature causes the atoms to vibrate more and makes average atomic spacing greater. Macroscopically‚ this will lead to dimension increase in solid: T + T +V T – T – V In an isotropic material‚ temperature change only introduces variation of direct (normal) strain. In other words‚ thermal deformation does not cause shear strain. where T0 is a reference temperature and = coefficient of thermal expansion (C)-1 Hooke’s
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the displacement of the steelie ball‚ and the average time it took for the steelie ball to go from the first photogate to the second photogate. The graphical relationships represented by the graphs show that the Velocity vs Time graph was a linear graph. Linear graphs are when Y‚ which is Velocity‚ is proportional to the X variable‚ which in this case is time. Correlation coefficient of the velocity vs. time graph: 0.9815 Slope is the acceleration of this lab. The slope for the steelie are position
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1. (24 points) If needed‚ additional workspace is provided on the next sheet. Doug Moodie is the president of Garden Products Limited. Over the last 5 years‚ his vice president of marketing has been providing the sales forecast using his special “focus” forecasting technique. The actual sales for the past ten years and the forecasts from the vice president of marketing are given below. |Year |Sales |VP/Marketing
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INTRODUCTION My topic is oil refinering using linear programming‚ this is under petrochemical industries which mean it will deal more about chemicals‚ this is about optimising the cost using a modelling method in mathematics called linear programming. This is very important because it links what is done in petrochemical industries with mathematics. Since there is a huge need of the products that are produced after petroleum refinering which are petrol‚ gasoline‚ oil‚ diesel and etc so in the
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