Switching interventions after randomization Suppose in a randomized control study, we assigned each individual to one of two interventions (A or B) with equal probability. And suppose for the sake of argument, there is complete balance in characteristics in the two groups after randomization, so individuals are indeed exchangeable for all intents and purposes.
Suppose after randomization, and for no reason, we switch the labels of the individuals - those receiving A instead receive B, and vice-versa. Are there any concerns after switching?
Now let's say after randomization, perhaps the one factor that isn't balanced is location of the individuals - those randomized to B all live closer to the factory producing A, and those randomized to A live closer to the factory containing B. We therefore switch the randomization to save on transport costs. Would this switch be allowed if we believe (or, let's say we can prove) that location is not associated with our outcome of interest? Certainly, if location is related, I can see that it should not be allowed.

Don't.
The whole point of randomization is that it removes the need to make assumptions like assuming location isn't associated with the outcome. Yes, certainly, you can do it, but your confidence in your results depends on your confidence in that assumption. What's more, since geographical location will be associated with all kinds of other potential confounds, income in particular, you also need to assume that none of these factors are related to the outcome, which is generally totally unreasonable.
Another way of looking at this is that it's a case of the design and analysis of the study being contaminated by the data itself. It would be fine to switch labels if you just decided to do so at random, but not if this analysis decision is based on the data itself. More generally, many common analyses are invalidated if the analysis is tweaked based on the data as it comes in.
