September 28 & 29, 2020 | Virtual
Please login or join to subscribe to this thread
It depends. There is not any "best" option for this, as far as I know.
I have found risk management analysis, specifically quantitative, useful to manage project delays, regardless if I am part of the contractor team or the purchaser team.
I've never heard of any of these terms before. I'm always pleasantly surprised to see others with so much experience that is different from my own. This is really one of the strengths of this site. I'll be following this thread to see what others have to say.
Provided you have the appropriate assumptions list, and squeezed enough of the requirements into the "should have" but not absolutely necessary column, then you can increase/decrease the range in scope. Scope is one of the key influences on delays...and finishing early.
First of all, your end goal was the creation of a tool that predicts the probability of a delay when traveling from a particular station. This can be useful, provided that the right data drive it under comparable circumstances. I prefer to bring a solution for future business by using Analytics solutions properly for it https://greenm.io/
I have used quantitative risk analysis on large construction projects. What kind of effort are you willing to put?
Please login or join to reply