Which of the following best defines the term commodity? a. A physical object we find, grow, or make to meet our needs and those
1 answer:
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Answer:
option C is correct CPI in Kansas City is 125 and in Dallas is 150.
Explanation:
given data
Kansas City pays = $50,000
Dallas that pays = $60,000
solution
we know that CPI base year is always = 100
first we get here real salary value in Kansas City that is express as
Real Value = Salary in Kansas City × (CPI base year ÷ CPI current year) ..........1
put her value we get
Real Value = $50,000 ×
Real Value = $40000
and now we get here real salary value in Dallas that is express as
Real Value = Salary in Dallas City × (CPI base year ÷ CPI current year) ..........2
put her value we get
Real Value = $60,000 ×
Real Value = $40000
so now we can see that both value is same in both city with CPI Kansas City = 125 and CPI Dallas = 150
so here correct option is c. 125 in Kansas City and 150 in Dallas
Answer:
The Linear programming model is given as below
Profit Function:
Constraints:
Explanation:
As the question is not complete, the complete question is found online and is attached herewith.
Let the number of product 1 to be produced is X, that of product 2 is Y and product 3 is Z
so the maximizing function is the profit function which is given as
Now as the number of hours in a week are 40 and there are a total of 10 type 1 machines so the total number of machine 1 hours are 40*10=400 hours
As from the given table product 1 uses 2 machine hours of machine 1, product 2 uses 2 machine hours of machine 1 and product 3 uses 1 hour of machine 1 so
Now as the number of hours in a week are 40 and there are a total of 6 type 2 machines so the total number of machine 2 hours are 40*6=240 hours
As from the given table product 1 uses 3 machine hours of machine 2, product 2 uses 4 machine hours of machine 2 and product 3 uses 6 hour of machine 2 so
Now as the number of hours in a week are 40 and there are a total of 8 type 3 machines so the total number of machine 3 hours are 40*8=320 hours
As from the given table product 1 uses 4 machine hours of machine 3, product 2 uses 6 machine hours of machine 3 and product 3 uses 5 hour of machine 3 so
Now as the machine 1 is used as 2X+2Y+Z in a week and the week is of 40 hours so the number of machines to be used are given as
Now as the machine 2 is used as 3X+4Y+6Z in a week and the week is of 40 hours so the number of machines to be used are given as
Now as the machine 3 is used as 4X+6Y+5Z in a week and the week is of 40 hours so the number of machines to be used are given as
Now the workers are available for 35 hours so the worker available at the machine 1 is given as
That of machine 2 is given as
That of machine 3 is given as
As the total number of workers is 19 so the constraint is given as
So the Linear programming model is given as below
Profit Function:
Constraints:
