Reference no: EM132109019

Marketing feels that demand will be elastic, with sales sensitive to the product price. As such, Christina received the following information from marketing: Yearly Sales:1500,1250, 1000 Price: $120, $160, $200 Information on Costs Based on the product design and details that Christina was given, she estimated that the company will have to increase its fixed costs by $146,000 to be able to produce up to 1300 units per year. To produce more than 1300 units, additional equipment and resources will be required, increasing the fixed costs to $180,000 per year. Christina’s initial analysis of the product came to the conclusion that the product will take $180 to produce. Based on this, it would appear that the only option available for the company would be to maximize the price to ensure that the price per unit is higher than the unit variable price. Given the Fixed Cost required for the product of $146,000, at $180 to produce each unit, and a $200 sale price, the break even point for this venture currently lies at 7300 units. Christina studies the problem further and establishes that based on the characteristics of the product, the production methods used, the quantities involved, a learning rate of 83% could be realized utilizing a batch size of 100 units. Analysis This case provides a study in tradeoffs that pit sales, product pricing, fixed and variable costs, and even learning rates against each other. Complete a Break Even (BE) analysis that compares the relationship between production levels and returns, and allows for scenarios to be run in which we can alter: • Yearly production size • Price elasticity • Fixed Costs The BE analysis should help Christina determine if the company will make a profit at the various production/sales targets as provided in the table above. 1) Build the model that spans the possible production rates for the following year. 2) Christina needs to determine whether or not, and under what conditions, the product will generate a profit. 3) Determine which combination of production/pricing will maximize profits. 4) Should WidgetsCo pursue this venture? 5) If Christina’s estimated learning rate was incorrect and the company realized a learning rate of 80%, how much more profit could the company make if they produced 1000 units next year?