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EXERCISE 11 – SimRunner program, advanced optimisation

Using the previous simulation model, more optimization factors will be considered.

Choose the simulation model from exercises 8 and 9 for analysis and optimisation, please

save that file with a name e.g. opt_cw2_z1. Conduct optimisation for:



number of workers,



deburring capacity,



delivery frequency.

Those values are represented in the model by macros. Define lacking macros in the

simulation model – frequency of deliveries (match values appropriate for your model, e.g.

min value of delivery frequency cannot render those deliveries unable to be completed). Then

select optimisation criteria:



max worker’s load,



min of variable “average_cycle_time” – an average value,



min of variable “PIP” – an average value,



min of variable “total cost” – an average value.

Conduct an optimisation for each of criteria individually, save its results (right-click on

optimisation results and select “save grid data” – results can be saved to a text file). Draw an

average value of the objective function (the “Objective Function” column) for each of criteria

(to do so use a spreadsheet for example), compare those values in order to be able to obtain

information on each criterion’s influence. Then propose your own weights for each of

criteria, e.g. assume, that the criterion of the highest average value will take the value of 1

(SimRunner doesn’t accept weight lower than 1, weights have to be rounded to integers).

Run an optimisation for the sum of all criteria, entering the designated weights. Average

drawing operations for individual criteria of the objective function and weights designation

do in an available spreadsheet, save the results of conducted optimisation to computer hard

drive.