1. Tots Toys makes a plastic tricycle that is composed of three major components: a handlebar-front wheel-pedal assembly, a seat and frame unit, and rear wheels. The company has orders for 12,000 of these tricycles. Current schedules yield the following information. Componen t Front Seat/Fram e Rear wheel (each) Available Requirement s Plastic Cost to Time 3 4 10 6 .5 2 .1 50000 16000 0 3000 0 Space Manufactur e 2 8 2 6 1 Cost to Purchas e 12 9 3 The company obviously does not have the resources available to manufacture everything needed for the completion of 12000 tricycles so has gathered purchase information for each component. Develop a linear programming model to tell the company how many of each component should be manufactured and how many should be purchased in order to provide 12000 fully completed tricycles at the minimum cost. ANS: Let FM = number of fronts made SM = number of seats made WM = number of wheels made FP = number of fronts purchased SP = number of seats purchased WP = number of wheels purchased Min 8FM + 6SM + 1WM + 12FP + 9SP + 3WP s.t. 2. Larkin Industries manufactures several lines of decorative and functional metal items. The most recent order has been for 1200 door lock units for an apartment complex developer. The sales and production departments must work together to determine delivery schedules. Each lock unit consists of three components: the knob and face plate, the actual lock itself, and a set of two keys. Although the processes used in the manufacture of the three components vary, there are three areas where the production manager is concerned about the availability of resources. These three areas, their usage by the three components, and their availability are detailed in the table. Lock Key (each) Available Brass Alloy 12 5 1 15000 units Machining 18 20 10 36000 minutes Finishing 15 5 1 12000 minutes Resource Knob and Plate A quick look at the amounts available confirms that Larkin does not have the resources to fill this contract. A subcontractor, who can make an unlimited number of each of the three components, quotes the prices below. Component Subcontractor Cost Larkin Cost Knob and Plate 10.00 6.00 Lock 9.00 4.00 Keys (set of 2) 1.00 .50 Develop a linear programming model that would tell Larkin how to fill the order for 1200 lock sets at the minimum cost. Let X1, X2 and X3 be the number of knob & faceplate , lock and keys produced by Larkin Industries. The remaining numbers (1200 –X1) of Knob & Plate, (1200-X2) of Lock and (1200-X3) of keys are to be ordered from the subcontractor. The additional cost for these items are (10.00-6.00) = 4 , (9.00-4.00) = 5.00 and (1.00-0.50) =0.500 respectively. Thus the objective function can be written as Minimize Z = 4*(1200-X1) +5*(1200-X2) + 0.5*(1200-X3) Subject to 12X1 + 5X2 + X3 ≤ 15000 Constraint for Brass Alloy 18X1 + 20X2 + 10X3 ≤ 36000 Constraint for Machining 15X1 + 5X2 + X3 ≤12000 Constraint for Finishing X1 ≥0 , X2 ≥0, X3 ≥0 Solving this LPP we can find out the optimum number of Knob & Plate Lock and Key 1. The number of cans of soft drinks sold in a machineeach week is recorded below. Develop forecasts usinga three period moving average.338, 219, 278, 265, 314, 323, 299, 259, 287, 302 Let X t denote the number of cans of soft drinks sold in a machine of the t th week.Now the 3 month moving average of the t+1th week is given by Xt + Xt-1 + Xt-2 Ft=3 , t=3, 4, & 5 4. The number of pizzas ordered on Friday evenings between 5:30 and 6:30 at a pizza delivery location for the last 10 weeks is shown below. Use exponential smoothing with smoothing constants of .2 and .8 to forecast a value for week 11. Compare your forecasts using MSE. Which smoothing constant would you prefer? 58, 46, 55, 39, 42, 63, 54, 55, 61, 52 6. A trend line for the attendance at a restaurant'sSunday brunch is given by Number = 264 + .72(t)How many guests would you expect in week 20? We have to put the value 20 in the place of‘t’ and we get,Number=264+ (0.72*20) we get Number= 278.4 nos. Or 278 nos. 5 , 4 , 3 رابط الموقع اللي في حل سؤال http://www.scribd.com/doc/28309356/Demand-ForecastingProblems
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