1. In this situation, I would take into consideration both the quantitative forecasting model and the expert’s opinion, and make a decision based on a combination of the two. This could involve ordering a higher quantity of LED TVs to account for potential growth

Respond to each question Separately.
Your post should address the following:
1. Imagine a situation in which a quantitative forecasting model generated from a time series that results in a very low forecasting error is contradicted by an expert. The quantitative model indicates that demand for LED TVs will grow by 13% in 12 months, while the expert suggests that growth will be in the 30% range. You need to place orders for your store now. How do you react?
2. Your post should address the following:
One can define “continuous improvement” as the layered process that leads to the identification and elimination of “the constraint” that limits efficiency, so that we can then look for “the next constraint”. Does this have an end?