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21 Cards in this Set
- Front
- Back
Max x |
Max intersection point |
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Max y |
Max answer when you plug in max x, or max fixed cost absolute value , or max profit pointconver |
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Convert fixed costs |
Fc times y cm / max y |
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Convert crossover points |
Crossover point times x cm / max x |
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3 types of points needed |
Fixed costs, crossover points, y values when younplug in max x |
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How to plot bep |
F/(p-v), use max x tonconvert, plot on x axis draw a vertical line |
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Revenue line and how to convert to cm |
Two points (0,0) (max x, price times max x) Y axis cm and max y to convert |
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Profit line equation |
X(price-variable cost) -F |
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Profit line crossover points, ** how to convert??** |
Set profit equations = to eachother and solve |
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Profit crossover analysis conversions |
-Use ***12cm*** in y axis conversions (12cm neg 12cm pos) -FC conversions- use negative FC from profit equation |
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Negative profit |
Negative profit = no process superior |
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Effective capacity - how to find |
(DC) x (U%) = new #, (new #)/(E%) = EC effective capacity |
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Calculate waste if waste is 10% |
Do 0.1 times cost = ___+ cost = waste |
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General BEP formula (for an item**?, simplest one) |
F/ (P-V) F = fixed cost P=profit or revenue, price in COA, V= variable cost |
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6 columns-how to obtain column 7, and explain each one and acronym |
1-(v/p) x (%Sales or revenue) I c p v 1 p
1-i item 2-p price (to customer) 3-c cost (to vendor) 4-V (v=cost +waste) 5- 1-(V/P) 6-% sales (same as % of revenue) 5x6 =7 , weighted contribution (need sum if this column) |
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BEP expected item sales (dollars) |
(Total BEP) x (% sales for that item =____ |
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BEP expected item sales (dollars) |
(Total BEP) x (% sales for that item =____ |
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Expected sales qty to break even |
Number from total bep times % sales divided by price per unit of item |
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Formula for labor cost |
# of workers x labor cost per worker per day / Output in units per day |
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Is highest or lowest weighted score better? |
Highest |
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How to calculate factor score? |
For each location: do factor weight times factor points For all factors Sum the total |