Answer:
The company should order 100 units to minimize total inventory cost.
Explanation:
Given,
Annual Demand, D = 2,000 units
Order cost, S = $20
Purchase cost = $40
Holding cost, H = Purchase cost x percentage of holding cost
Holding cost = $40 × 20%
Holding cost = $8
We know, the company should order the highest number of products with a minimum cost, and for that, the company uses economic order quantity. Hence,
Economic Order Quantity (EOQ) = 
EOQ = 
EOQ = 
EOQ = 100
Answer:
Quantity demanded of B/percentage change in price of A.
Explanation:
Cross price elasticity of demand is calculated as follows:
= Percentage change in quantity demanded for Good B ÷ Percentage change in price of good A
Cross price elasticity of demand is positive for the substitute goods and negative for the complimentary goods.
For Substitute goods:
It states that there is a positive relationship between the price of a good and the quantity demanded for its substitute goods.
For complimentary goods:
It states that there is an inverse or negative relationship between the price of a good and the quantity demanded for its complimentary goods.
Answer:
Option B. It is unrealistic
Explanation:
The reason is that the people have different likes which means we will never see 100 percent acceptance from the customers which might in the way of rejecting the offer of Gary. So the assumption that 50,000 cab drivers will purchase its product is truly optimistic which in other words is unrealistic assumption. So the option B is correct.
Option A is incorrect because the assumption is less qualitative as it doesn't relies on realistic assumption.
The cab drivers sales are relevant here but the sales assumption was unrealistic (Highly optimistic assumption) so the option C and D are incorrect.
Option E is also incorrect because the sales to cab drivers can be measure by initially directly selling 1000 cell phone to 1000 cab drivers which will give an actual idea of sales units expected, which means it is measurable.
Answer:
Prescriptive analytics
Explanation:
Prescriptive Analytics refers to the data analytics field that specializes on determining the best approach in a situation, based on the data accessible. It is linked towards both descriptive analytics as well as predictive analytics yet highlights valuable insights rather than data analysis.
Prescriptive analytics collects information with its systems from either a range of descriptive or predictive databases and relates it to the choice-making process. It involves mixing existing conditions with alternative actions to evaluate how well the outcome would be influenced by each.
It can also assess the effects of judgment, based on various potential future situations. The discipline draws inspiration from applied mathematics, using a number of statistical techniques to construct and re-create potential judgment trends that could have different effects on an entity.
I would try accepting the cat slowly just by like talking to her every now and then, or getting a stuffed animal that looks like the bunny to try talking to
