Smarter Decisions – The Intersection of Internet of Things and Decision Science

The art of problem solving

Now that we have a concrete understanding of how we can define the problem, lets try to understand what it takes to solve a problem. There could be a problem that could possibly be in any stage of its life, say fuzzy, the impact that it could create could be high with a moderately high frequency, and the nature of the problem could be predictive. Such a problem is really complicated if we try to understand it from its initial vibes. To make the example sound more concrete, lets assume that a renewable energy (solar) provider has one of its plants set up in a completely off-grid location to supply electric energy to a large college campus for its daily operations. The problem to solve would be predicting the amount of ...