Answer:
- Divide the resources into three parts using the corresponding process 1, process 1, and process 2 formats to maximize the use of the resources.
- Get the expected revenue by calculating the product of the total perfume in ounce and the price of an ounce of perfume.
- Increase the advertisement hours of the product.
- subtract the advert fee from the generated revenue to get the actual revenue.
- subtract the cost of production from the actual revenue to get the actual profit.
Explanation:
The get maximum profit, all the resources must be exhausted in production. The labor is divided into a ratio of 1:1:2 ( which is 5000, 5000, 1000), while the chemical units are in the ratio of 2:2:3 (10000,10000,15000). This would produce in each individual processes; 15000, 15000 and 25000 oz, which is a total of 55000 oz of perfume.
The expected revenue is $275000. If 1000oz from the 55000oz of perfume is sold without advertisement, model Jenny's awareness of the perfume increases the demand by 200oz per hour, therefore, 24hours would field 4800oz demanded, which would only take 270 hours to distribute all remaining perfumes.
The cost of production would be $130000 for labor and chemical resources plus the advert cost of $27000 ( 270 hours by 100) which is a total cost of $157000. The actual profit is $118000 ( $275000 - $157000).
def dx(fn, x, delta=0.001):
return (fn(x+delta) - fn(x))/delta
def solve(fn, value, x=0.5, maxtries=1000, maxerr=0.00001):
for tries in xrange(maxtries):
err = fn(x) - value
if abs(err) < maxerr:
return x
slope = dx(fn, x)
x -= err/slope
raise ValueError('no solution found')
Answer:
Following is given the solution to question I hope it will make the concept easier!
Explanation:
The best chart to see the data distribution for the exercise routine would be a pie chart. Using Microsoft Excel, you can input each data point you have for all you exercise routine category, and generate a pie chart which will show you the percentage for each category in comparison to the total.
