Week Four: Multiobjective decision making

Question 1

why do we do goal programming

Answer 1

if multi objectives, and we can prioritize then its good

Question 2

steps for goal programming

Answer 2

0. build model incorproating all metrics requried for each goal
1. determine if all goals can be achieved simultaneously! if no then
2. solve the model using oslver for only the highest priority goal
3. add constranit indictating the objective funcction must be mainitnain at the current optimal level based on step 2
4. solve the model using solver for only the next highest priority goal
5. repeat till all foals or until no longer feaisble

Question 3

in solver!

Answer 3

1. Create over and under, and then =A+U-O
2. Create deviations, and then undesirabl devication (reference the undesirable under or over)
3. Undesirable deviation is <= REALLY LARGE NUMBERS

how to set up solver?
Objective = the first goals deviation
Changing cells= all changers, and also the U/O
Constraints= ALL A+U-O and the required, AND the total devaition <= REALLY LARGE NUMBERS

THEN!
1. You will fix the deviation of goal 1 as a constraint
2. Put in the net min deviation as the objective

Question 4

if you get a negative, how to fix?

Answer 4

unclick automatic scaling

Question 5

how to keep going onward for goal programming when you hit a wall

Answer 5

Create weighted deviations:
1. give every undesirable devaition/goal a weight
2. sumprodct of undesidable devaiton,weight

Question 6

Pareto optimality tradeoff curves

Answer 6

Us when there are only 2 objectives in th multi objective problem

Question 7

Steps for Pareto optimality

Answer 7

1. build model and optimize for one objective
2. vary the values of the second objective and call solver iterativerly (Saving values after each optimization)
3. plot the scatterplot

Question 8

minimizing maximum deviation?

Answer 8

1. Cals the absolute deivartion
2. What is the best value/the goal for each goal
3. Calc th % dev from goal (Abs/Required)
4. Calc the % dev from best(Step 1/Step 2)
5. Now you want