Editor's Guide: If you were asked the question "How many volunteers are needed for the Beijing Winter Olympics?" during the interview, how would you answer? The author of this article disassembles this problem, hoping to help you. Recently, I saw an interview question category email list from a large factory in the group. The topic was: Please evaluate how many volunteers are needed for the Beijing Winter Olympics? Most of the students will be at a loss category email list when they see such a problem, because they don't know where the focus of the assessment is, so they don't know how to start.
First, the nature of the problem and the method of dismantling Such questions are not uncommon in interviews, and their essence does not category email list require the candidate to accurately state the total number, but to examine the candidate's thinking logic when dismantling the problem. This is a typical [Fermi estimation] problem. Fermi estimation refers to solving estimation category email list problems with unknown outcomes, breaking down complex problems into small, knowable parts. If there is still no result, continue to dismantle until all parts of the problem after dismantling become a common sense problem or a relatively easy solution, so that the unknown problem will gradually become clear. Next, we take this interview question as an example to explain in detail how to use Fermi estimation: 1).
Determine the cut-in angle Normally, Fermi category email list estimation can be cut in from 3 angles: Demand side: From the demand side, it means to estimate the total market size from the total market demand. For example: How big is the milk powder market in xx city? How many private cars are there in xx city. Supply side: Starting from the production capacity, estimate the total production category email list volume of a production unit (store or site). For example: what is the estimated turnover of Michelle Ice City in one day? How many cups of coffee does Starbucks make in a day. Supply + Demand: Based on the total market demand and the production capacity of a single production unit, estimate the number of production units.