4 ms·
Isn't that a well studied problem, applicable to many fields? Here the article is about people, but the same reasoning can be made with computers or service ce
by GuB-42 6y ago
Isn't that a well studied problem, applicable to many fields?
Here the article is about people, but the same reasoning can be made with computers or service centers. I mean, no sysadmin will expect their network to be a 100% capacity all the time. We have mathematical models for that, the stuff with binomial laws and Poisson distributions.
So how can we expect people to be 100% efficient if even machines can't be 100% efficient?
- bumby 6y ago>So how can we expect people to be 100% efficient if even machines can't be 100% efficient? The article addresses this, I think, in the "Total efficiency is a myth" section: "it is impossible to keep everyone in the organization 100 percent busy unless we allow for some buffering"