In the integrated supply chain model, integrated enterprise is typically manufacturer.
<h3>What is
supply chain model?</h3>
Supply chain modeling can be described as the conscious attempt that is been utilized in the proclamation of order as regards the supply chain to have certain business objectives.
These could be lowest supply cost as well as , on-time delivery ,however In the integrated supply chain model, integrated enterprise is typically manufacturer.
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Answer:
B. $280,000
Explanation:
The capital assets are those assets which are used for the personal purpose, not for the business purpose. The examples of capital assets include personal property, stocks, bonds, clothing, dwelling, etc.
It excludes that property which is used for trade or business purpose like - limousine.
In the given situation, the capital asset would be $280,000 as it owns for personal residence and furnishings.
Answer:
Acknowledge the team for their effort.
Explanation:
By acknowledging the effort of the team that worked on the shampoo, the members of the team are encouraged and motivate, knowing that their efforts are accepted. After so doing, Logan can now tell the team about the dismal results which isn't supposed to have happened and the motivation earlier would have let the team members open to innovation.
Cheers.
Answer:
2,400 Yens
Explanation:
exchange rate for buying Japanese Yen is 12 Yens per Dollar
1 dollar : 12 Yens
how many Yens do you need to buy 200 Dollars for?
Let
x = number of Yens needed
200 dollars : x Yens
Equate the ratios to find x
1 dollar : 12 Yens = 200 dollars : x Yens
1/12 = 200/x
Cross product
1 * x = 12 * 200
x = 2,400
x = number of Yens needed = 2,400 Yens
Answer:
0.0084
Explanation:
For this probability problem, we will have to make use of the normal probability distribution table.
to use the table, we will have to compute a certain value
z = (x- mean) /Standard deviation
z = 
= 2.39
Probability he has worked in the store for over 10 years can be obtained by taking the z value of 2.39 to the normal probability distribution table to read off the values.
<em>To do this, on the "z" column, we scan down the value 2.3. we then trace that row until we reach the value under the ".09" column. </em>
This gives us 0.99916
Thus we have P (Z < 2.39) = 0.9916
We subtract the value obtained from the table from 1 to get the probability required.
1 - 0.9916 = 0.0084
The Probability that the employee has worked at the store for over 10 years = 0.0084
