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After researching a lot of packages, I found simmer, specifically it is simmer.optim can meet my expectation, but there is an issue that I don't know how to set up a data frame with predefined arrivals at a specific time, then optimize to find the number of headcounts in each time based on a schedule function and get the capacity. Please help, thank you a lot
The text was updated successfully, but these errors were encountered:
If you are looking for how add_dataframe works, the reference page is the proper place to start. Basically, it works in the same way as add_generator by default, but you specify a vector of interarrival times in the time column of a data frame. But it's also possible to input absolute times by specifying time="absolute".
If you are looking for usage examples, there's one in the vignettes here.
So the first step would be to have a working simulation for a given set of parameters. Then the next step is to take a look at simmer.optim's README for examples on how to optimize those parameters. Finally, if you have specific issues in your simulation/optimization, the mailing list would be the proper place to share your code so far and ask for help.
In other words, let's keep this issue tracker for issues in the package, and not usage questions, please.
Hi, I am BI Engineer in Ecommerce field.
After researching a lot of packages, I found simmer, specifically it is simmer.optim can meet my expectation, but there is an issue that I don't know how to set up a data frame with predefined arrivals at a specific time, then optimize to find the number of headcounts in each time based on a schedule function and get the capacity. Please help, thank you a lot
The text was updated successfully, but these errors were encountered: