Midterm Flashcards

1
Q

Step one of graphing

A

set one variable to zero then solve for other, repeat opposite

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2
Q

step two of graphing

A

plot lines according to coordinates found in step one

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3
Q

Rule of Lines

A

Must be labelled correctly and hash lines to indicate greater or less than

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4
Q

feasible region

A

the space that lies under the constraint lines that satisfies all constraints

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5
Q

step three of graphing

A

find points of intersection between constraint lines on the border of the feasible region

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6
Q

step four of graphing

A

apply the coordinates from step three into the maximizing equation to find profit

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7
Q

step five of graphing

A

find iso-profit lines with the maximizing equation and profit given. set one variable to zero to solve, vice versa

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8
Q

iso-profit line rule

A

must be labelled (profit=30000) and must be a dashed line. all iso=profit lines are parallel

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9
Q

solution we want

A

we want the feasible answer to be greater than the optimal answer. the optimal point we choose must also be feasible

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10
Q

if the optimal point is between grid lines

A
  1. multiply one line equation by the first number of the second equation (X+Y=200,1.2X+0.75Y=180 becomes 1.2X+1.2Y=240, 1.2X+0.75Y=180).
  2. then subtract the second equation from the first.
    1.2X+1.2Y=240
    -1.2X+0.75Y=180
    >0.45Y=60
  3. Then solve for your variables for the optimal point
    Y=133.33
    X=66.67
  4. input the optimal point into the objective function for the optimal profit
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11
Q

final step of graphing

A

always finalize answer in words. (the optimal solution is to make 66.67 of X and 133.33 of Y for a profit of 000.

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12
Q

calculating forecasting error

A

Actual-Forecasted= (et)

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13
Q

calculating absolute error in forecasting

A

|et| (absolute value of the error)

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14
Q

calculating the squared error in forecasting

A

et^2 (squaring the error)

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15
Q

simple moving error

A

(sum of actual value for n periods)/n

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16
Q

weighted moving average

A

sum of (assigned weight x actual value) for n periods

17
Q

exponential smoothing

A

alpha(actual value)+(1-alpha)(forecasted value)

18
Q

BIAS

A

average error = (sum of all et)/n

19
Q

MAD

A

mean absolute value = (sum of |et|)/n

20
Q

RMSE

A

root of mean square error= sqrt[(et^2)/n]

21
Q

seasonal indicies

A

(total of n seasons/n)/average demand per season

22
Q

average demand per season

A

sum of n seasons/n

23
Q

What is forecasting?

A

the process of predicting a future event

24
Q

underlying basis of all business decisions

A

-production
-inventory
-personnel
-facilities

25
Q

importance of forecasting

A
  • schedule the right amount of workers to handle expected labour volume by analyzing
    -avoid over or under stocking by forecasting consumer demands
    -meet customer demands efficiently and minimize production bottlenecks
    -maximize revenue by determining optimal pricing
    -ensure company has enough liquidity to cover daily operating expenses while also meeting long term financial goals
26
Q

forecasting time horizons

A

short-range:
- up to one year, generally less than 3 months
-purchasing, job scheduling, production levels
medium-range
-3 months to 3 years
-sales and production planning, budgeting
long-range
-3+ years
-new product planning, facility location, research and development

27
Q
A