Hello,
I am simulating a demand - supply problem here. A source will create tokens and work cells will process them. I am building the model in process flow where I have 15 work cells. Each work cell has limited hours per week (I am using zones to control the number of tokens that can enter per week). I defined my output as a performance measure and my cell hours as parameters (15 different parameters)
I am running the optimizer to tell me what are the minimum hours for each cell to get the maximum total output per week. So, I ended up with 16 objective functions. One for the output and 15 for the work cells.
I found out that It will take too many replications to get close to a good solution. However, I end up with thousands of results and hundreds of those have the star icon that indicate that this is a best iteration. Is there a way I can filter the results to only show the one result that have the highest output with the minimum hours for each cell? And does it make sense the way I am running the optimization problem to start with?