Sensing the associated latent problems

Problems in real life are often never solo; they are mostly interconnected with multiple other problems. Decision science is also no exception to this feature. While solving a decision science problem, we would often reach a point where we understand that solving the associated problem is more important than the current problem. In some cases, solving associated problems becomes inevitable in order to move ahead. In such cases, we would not be able to practically solve the current problem until and unless we solve the associated problems.

Let's take an example to understand this better. Consider that while solving the problem to identify the reasons for bad-quality detergent manufactured, we inferred that the vital cause for the problem is the difference in raw materials from different vendors or because of insufficient labor in the manufacturing plant (assume). In some cases, the machinery downtime or inefficiency can also be vital reasons for the problem...