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An introduction to Management Science, its relationship with Accounting, and the scientific method approach. It includes examples of model building using break-even analysis to determine the optimal number of units to produce or sell based on limited resources. Students will learn about variables, parameters, and the formal specification of models, as well as the computation and graphical representation of the break-even point.
What you will learn
Typology: Schemes and Mind Maps
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A discipline that attempts to aid managerial decision making by applying a scientific approach to managerial problems
Provides financial information That are useful in decision making
Information and Data: Business firm makes and sells a steel product Product costs $5 to produce Product sells for $ Product requires 4 pounds of steel to make Firm has 100 pounds of steel Business Problem: Determine the number of units to produce to make the most profit given the limited amount of steel available.
Variables: X = number of units (decision variable) Z = total profit Model: Z = $20 X - $5 X (objective function) 4 X = 100 lb of steel (resource constraint) Parameters: $20, $5, 4 lbs, 100 lbs (known values) Formal Specification of Model: maximize Z = $20 X - $5 X subject to 4 X = 100
Monthly sales average 40 units (480 ÷ 12)
Used to determine the number of units of a product to sell or produce (i.e. volume) that will equate total revenue with total cost. The volume at which total revenue equals total cost is called the break-even point. Profit at break-even point is zero.
Computing the Break-Even Point The break-even point is that volume at which total revenue equals total cost and profit is zero: V = c f /(p – c v
Example: Western Clothing Company c f
c v = $8 per pair p = $23 per pair V = 666.7 pairs, break-even point
Graphical Solution Figure 1. Break-Even Model
Figure 1. Sensitivity Analysis - Break-Even Model with a Change in Variable Cost
Figure 1. Sensitivity Analysis - Break-Even Model with a Change in Fixed Cost