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The production manager at company XYZ needs to prepare forecasts of product demand in order to plan for appropriate production quantities. In the past, demand for the product has been strongly dependent on the effort put in advertising and promoting the product. To show this, the marketing manager has compiled the data below on sales (in thousands of units) and advertising budget (in thousands of $) over the past 5 months. The marketing budget allocated to this product in the next month is $3,500. Use linear regression to develop an equation for the relationship between unit sales and advertising $, and generate a forecast for this product. Months sales advertising (thousands of units) (thousands of $) 1 264 50 2 116 26 3 165 28 4 101 20 5 209 40 6? 35
The total output from a production system in one day is 900 units and the total labour necessary to produce the 900 units is 900 hours. Using the appropriate productivity measure,
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Product Life Cycle graph
suppose the manufacturer has an inflated demand forecast as follows: Quantity Probability 2,200 5% 2,300 6% 2,400 10% 2,500 17% 2,600 30% 2,700 17% 2,800 12% 2,900 3% (a) Suppose t
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