Two university students, Jim Carstens and Angie Orsini, are planning to open a walk-in pizza restaurant near campus that they will call Big Slice Pizza. They will have no seating and will sell two kinds of oversized slices of pizza to go, plain cheese and pepperoni. The fixed annual cost including rent and equipment is $26,000 and the variable cost per slice is $0.67. If they sell slices for $3.75, how many slices will they need to sell to break even? If they forecast demand to be 540 slices per week, how much profit will they make?

Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter5: Network Models
Section5.3: Assignment Models
Problem 11P
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Two university students, Jim Carstens and Angie Orsini, are planning to open a walk-in pizza
restaurant near campus that they will call Big Slice Pizza. They will have no seating and will sell
two kinds of oversized slices of pizza to go, plain cheese and pepperoni. The fixed annual cost
including rent and equipment is $26,000 and the variable cost per slice is $0.67. If they sell slices
for $3.75, how many slices will they need to sell to break even? If they forecast demand to be
540 slices per week, how much profit will they make?
Transcribed Image Text:#1. Two university students, Jim Carstens and Angie Orsini, are planning to open a walk-in pizza restaurant near campus that they will call Big Slice Pizza. They will have no seating and will sell two kinds of oversized slices of pizza to go, plain cheese and pepperoni. The fixed annual cost including rent and equipment is $26,000 and the variable cost per slice is $0.67. If they sell slices for $3.75, how many slices will they need to sell to break even? If they forecast demand to be 540 slices per week, how much profit will they make?
1. Formulate a linear model (clearly state decision variables, objective
function, and constraints)
2. Find optimal solutions using graphical techniques as shown in class
PowerPoint slides.
3. Find slack or surplus variables at each optimal solution.
Transcribed Image Text:1. Formulate a linear model (clearly state decision variables, objective function, and constraints) 2. Find optimal solutions using graphical techniques as shown in class PowerPoint slides. 3. Find slack or surplus variables at each optimal solution.
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