If a solution appears to be unbounded, what should we do to test this?
Give this one a try later!
find OBJ Fn val at increasing values of the unconstrained axis and see if the
value becomes more optimal
in MBE 4, what were the two random variables that we had to simulate?
Give this one a try later!
daily demand
lead time each day
,T or F: The optimal solution will not always be at a corner point
Give this one a try later!
False - it always will be since this is where two constraints are maxed out -
more resources = more production = more optimal
For what type of constraint (what sign) might slack exist?
Give this one a try later!
maximums;
<
How was daily demand simulated?
Give this one a try later!
each demand (0,1,2,3, etc) had an associated range of values assgned to it
(i.e. 0-0.04, 0.04-0.12, etc). we used a rand number generated to generaye a
number between 0-0.999999, then used Lookup to find the demand value
associated with that random number
demand values with higher probabilities had a greater range of values
associated with them, and thus are more likely to occur
T or F: the reduced cost is a value associated with a constraint.
, Give this one a try later!
F - The reduced cost is a value associated with a decision variable.
List the five steps of decision analysis
Give this one a try later!
1. define the problem
2. list ALL alternatives
3. identify outcomes for each alternative
4. identify payoffs for each combo
5. choose decision analysis technique
If the original constraint (before being converted to a soft constraint) was <=, the
deviation variable that we want to minimize (and therefore include in the OBJ FN) is
_____________
Give this one a try later!
d+
A _______________ simulation models the uncertainty or randomness of a system by
replicating it many times with different values for random inputs
Give this one a try later!
Give this one a try later!
find OBJ Fn val at increasing values of the unconstrained axis and see if the
value becomes more optimal
in MBE 4, what were the two random variables that we had to simulate?
Give this one a try later!
daily demand
lead time each day
,T or F: The optimal solution will not always be at a corner point
Give this one a try later!
False - it always will be since this is where two constraints are maxed out -
more resources = more production = more optimal
For what type of constraint (what sign) might slack exist?
Give this one a try later!
maximums;
<
How was daily demand simulated?
Give this one a try later!
each demand (0,1,2,3, etc) had an associated range of values assgned to it
(i.e. 0-0.04, 0.04-0.12, etc). we used a rand number generated to generaye a
number between 0-0.999999, then used Lookup to find the demand value
associated with that random number
demand values with higher probabilities had a greater range of values
associated with them, and thus are more likely to occur
T or F: the reduced cost is a value associated with a constraint.
, Give this one a try later!
F - The reduced cost is a value associated with a decision variable.
List the five steps of decision analysis
Give this one a try later!
1. define the problem
2. list ALL alternatives
3. identify outcomes for each alternative
4. identify payoffs for each combo
5. choose decision analysis technique
If the original constraint (before being converted to a soft constraint) was <=, the
deviation variable that we want to minimize (and therefore include in the OBJ FN) is
_____________
Give this one a try later!
d+
A _______________ simulation models the uncertainty or randomness of a system by
replicating it many times with different values for random inputs
Give this one a try later!
