1) Ch 2 Flashcards
Optimization
allocating limited resources most effectively (maximize profits)
Optimization traits
It is deteminsitic (all input data and parameters are known with certainty)
Simplest type of Optimization is called
Linear Programming
Goals of Optimization Problems
1) max profit
2) min costs
why do we struggle to achieve the goals of optimization problems
supply or demand constraints
How to do LP model formulation
1) determine the mathematical formulation
2) identify the optimal solution
3) interpret the results
Step 1 of LP model formulation
1DETERMINING THE MATHEMATICAL FORMULATION
-> What are the decision variables (x and y)
-> what is the objective function using the decision variables (this is profit or cost formula)
-> what are the constraints
Step 2 of LP Model Formulaiton
Identify the optimal solution
-> Graphically or Spreadsheet
Step 3 of LP Model Formulaiton
Interpret the results
-> what if scenarious to see impact of parameter change
Basic assumptions of an LP model
1) certainty
2) prooportionality and linearity
3) additivity
4) divisibility
Certainty- assumption
all paramenters are known and constant (no probabiilities, 10% chance, 20 % chance etc.)
proportionality and linearity- assumption
the objective function and constraints are linear and proportional
1 unit= 3 hours then 5 units = 15 hours
Additivity- assumption of LP model
the total of all activities is the sum of individual activities
Divisibility:
solutions need not be whole numbers (not always integers)
What can u not have in a LP statement
IF statement
MIN MAX VALUES
SQUARES ^2
SQRTS
MULTIPLY DECISION VBLS
DIVIDE DECISION VBLS
technical steps of LP model formulaiton
1) understand the problem (what are we trying to solve)
2) identify decision vbls (x and y)
3) state the objective function (relating x and y)
4) state the constraints (conditions or limits on the formula)
What are decision varables usually
any amount that can be controlled, like units, litres, people, dollars
How to determine the objective function
Look wherever it says profit or cost
profit per thing(vbl1)+profit per other thing(vbl2)
Making the constraint table
- one column each for each variable
- one row each for the major constraints
- individual rows for each terms individual constraint
-non negativity constraint (use comma and put them in one cell)
MAKE SURE TO WRITE (SUBJECT TO:) AND ALSO NOTE THE UNITS
How to deal with ratio constraints
wheat>= 0.2*(#hectares)
1) Figure out the expression, write it as an inequality
If it is like 20% of land must be wheat then:
# wheat/# hectares total >= 0.2
2) then do math to isolate one vairable
3) simplify the inequlaity further
KEEP IT LIKE IT IS!
Ratio Constraints trait
There are variables in the constraint
DETERMINING ONSTRAINTS??
-what limitations do you have on the situation
- is it percents and ratios? you will have variables in your limits
-Different constraints can be in different units
(hours, minutes, litres, hectares) but each
type of constraint must have the same units(sales volume, labour time)
Costs($) are not included in the constraints, only usage SO…
Costs($) are not included in the constraints, only usage so EXCLUDE THEM FROM THE CONSTRAINTS CHART
UNITS
-Different constraints can be in different units
(hours, minutes, litres, hectares) but each
type of constraint must have the same units(sales volume, labour time)
How to do iso- profit line method for optimization
1) Determine your goal: max profit or min cost
2) Determine decision variables
3) Draw out constraints (linear lines) LABEL THEM
4) Draw out the iso-profit line by solving the equation
5) understand that the iso profi tline can only be parallel to the existing line so move it down until you hit an intersection of constraints
6) solve the system of equaitons form the two constraint lines
7) that is ur max profit
How to use corner point method to find max profit/min cost
1) define the goal
2) find decision variables
3) draw out all the constraints
4) set up systems of equations at all the corners, and solve for the coordinates and also the profit
5) highlight the point with the largest profit!
When do you need to use a spreadsheet to model LP problems
when there are 2+ decision variables