The world’s Largest Sharp Brain Virtual Experts Marketplace Just a click Away
Levels Tought:
Elementary,Middle School,High School,College,University,PHD
| Teaching Since: | Apr 2017 |
| Last Sign in: | 418 Weeks Ago, 4 Days Ago |
| Questions Answered: | 3232 |
| Tutorials Posted: | 3232 |
MBA,MCS,M.phil
Devry University
Jan-2008 - Jan-2011
MBA,MCS,M.Phil
Devry University
Feb-2000 - Jan-2004
Regional Manager
Abercrombie & Fitch.
Mar-2005 - Nov-2010
Regional Manager
Abercrombie & Fitch.
Jan-2005 - Jan-2008
The Mystic Coffee Shop blends coffee on the premises for its customers. It sells three basic blends in one-pound bags: Special, Mountain Dark, and Mill Regular. It uses four different types of coffee to produce the blends: Brazilian, mocha, Colombian, and mild. The shop used the following blend recipe requirements:
|
Blend |
Mix Requirements |
Selling Price/lb |
|
Special |
At least 40% Colombian, at least 30% mocha |
$6.50 |
|
Dark |
At least 60% Brazilian, no more than 10% mild |
5.25 |
|
Regular |
No more than 60% mild, at least 30% Brazilian |
3.75 |
The cost of Brazilian coffee is $2.00 per pound, the cost of mocha is $2.75 per pound, the cost of Colombian is $2.90 per pound, and the cost of mild is $1.70 per pound. The shop has 110 pounds of Brazilian coffee, 70 pounds of mocha, 80 pounds of Colombian, and 150 pounds of mild coffee available per week. The shop wants to know the amount of each blend it should prepare each week in order to maximize profit.
Formulate and solve a linear programming model for this problem.
Hel-----------lo -----------Sir-----------/Ma-----------dam----------- T-----------han-----------k Y-----------ou -----------for----------- us-----------ing----------- ou-----------r w-----------ebs-----------ite----------- an-----------d a-----------cqu-----------isi-----------tio-----------n o-----------f m-----------y p-----------ost-----------ed -----------sol-----------uti-----------on.----------- Pl-----------eas-----------e p-----------ing----------- me----------- on----------- ch-----------at -----------I a-----------m o-----------nli-----------ne -----------or -----------inb-----------ox -----------me -----------a m-----------ess-----------age----------- I -----------wil-----------l