Answer:a. Willing suspension of disbelief
Explanation:
What does this phrase mean?
It occurs when we accept event as believable so that we can enjoy the the story line.
This occurs when we watch drama or read a story on the book evethough we know that these are just characters and non of this is true but still in order for us to enjoy the story to the fullest we willingly accept these characters as real in order to have a true feeling towards the story and it's message.
It like when we watch a sad movie and we find ourselves crying because we have accepted the characters to be true in order to fully enjoy the story.
<span>Programming languages used to create artificial intelligence and expert system applications are often called fifth generation languages. This programming language works by solving using the restrictions given to the program unlike the conventional method of using an algorithm developed by a programmer.</span>
Answer:
The answer is Project X is the most attractive to an investor.
Explanation:
We can use the definition of Net Present Value (NPV) to solve this problem and figure out which would be the best investment.
Net present value is the present value of future money. In other words, over certain period of time, how much is your investment worth today. It takes into consideration cash inflow and outflow over that period of time as well as interest that could be earned on alternative investments if you had the money today. See attachment to see the NPV formula.
In the attachment, we calculate the NPV for each one of the projects using a rate of return i=3% for all of them. Any rate of return could be used as long as they are the same for all projects.
A positive NPV value means a good investment and the higher that number is the better the investment. In this case, we can see that Project X has the higher NPV of all the projects. Therefore, project X is the most attractive for an investor.
Explanation:
because you are not sure how good they are at working
Answer:
Explanation:
Annual demand (D) = 20000 units
Number of days per year = 250
Demand rate(d) = D/number of days per year = 20000/250 = 80 units
Production rate(p) = 655 units
Set up cost(S) = $1800
Holding cost (H) = $1.50
A) Optimum run size(Q) = sqrt of {2DS / H [1-(d/p)]}
= sqrt of {(2x20000x1800) /1.50[1-(80/655)]}
= Sqrt of [7200000/1.50(1-0.1221) ]
= sqrt of [72000000/(1.50 x 0.8779)]
= sqrt of (7200000/1.31685)
= Sqrt of 5467593.1199
= 2338 units
b) Maximum inventory ( I - max) = (Q/p) (p-d) = (2338/655)(655-80) = 3.5695 x 575 = 2052.46 or rounded off to 2052 units
Average inventory = I-max/2 = 2052/2 = 1026 units
C) Number of production setups per year = D/Q = 20000/2338 = 8.55 or rounded up to 6
d) optimal length of production run = optimal run size /production rate = 2338/655 = 3.56 or rounded up to 4 days
