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ME466 Ass - production planning and control
operation research (ME605)
جامعة طرابلس
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University of Tripoli
Faculty of Engineering
Department of Mechanical and Industrial Engineering
ME 466 Assignment no 1
The Instant Paper Clip Office Supply Company sells and delivers office supplies , 1
to companies, schools, and agencies within a 50-mile radius of its warehouse. The office supply business is competitive, and the ability to deliver orders promptly is a big factor in getting new customers and maintaining old ones. (Officest epically order not when they run low on supplies, but when they completely run out. As a result, they need their orders immediately.) The manager of the company wants to be certain that enough drivers and vehicles are available to deliver orders promptly and that they have adequate inventory in stock. Therefore, the manager wants to be able to forecast the demand for deliveries during the next month. From the records of previous orders, management has accumulated the following .data for the past 10 months
Month Jan. Feb. Mar. Apr. May Jun. Jul. Aug. Sep. Oct. Orders 120 90 100 : 75 110 50 75 130 110 90
a. Compute the monthly demand forecast for February through November .using the naive method
b. Compute the monthly demand forecast for April through November using a .3-month moving average c. Compute the monthly demand forecast for June through November using a .5-month moving average d. Compute the monthly demand forecast for April through November using a 3-month weighted moving average. Use weights of 0, 0, and 0, with .the heavier weights on the more recent months e. Compute the mean absolute deviation for June through October for each of the methods used. Which method would you use to forecast demand for November
Use the sales data given below to determine: (a) the least squares trend line, and. 2 .(b) the predicted value for 2013 sales
(Sales (Units Year
100 2006
110 2007
122 2008
130 2009
139 2010
152 2011
164 2012
To minimize computations, transform the value of x (time) to simpler numbers. .In this case, designate year 2006 as year 1, 2007 as year 2, etc
.The following are the measurement of the height and weight of ten men. 3
Height (inches) 63 71 72 68 75 66 68 76 71 70
Weight (lb) 145 158 156 148 163 155 153 158 150 154
Calculate the correlation coefficient and show that it is significantly .a .different from zero . B, Find the linear regression of height on weight
ME466 Ass - production planning and control
Course: operation research (ME605)
University: جامعة طرابلس
