usermanual for is102
DESCRIPTION
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User Manual
This model is designed to help you make a decision on which location to open your new branch at. There are 3 components in this model: 1. The Profit Maximization Model 2. The Growth Maximization Model 3. The Auxiliary Model The red boxes will tell you where to input your own values while the blue boxes will explain the other functions in our model.
Revenue Input Sheet (Weekend + Weekday)
Input class size
Input average
number of subjects each
student takes: If 1 student takes 2 subjects, he/she is considered
as 2 students.
Input Fees per student (per class)
As primary, sec and JC students have
different school
schedules, please input
respecGve weekend
and weekday schedules.
1 = available,
0 = unavailable
AKer solver opGmizaGon in “output sheet”, weekday
and weekend revenues will be
calculated and
reflected
When done, click “Next” for Cost Input Sheet
Cost Input Sheet (Weekend + Weekday)
Rental Budget
Costs of rental per classroom per day (please
input values between $50 and $100)
UGliGes per classroom per class (2 hours)
Overheads per student (e.g. prinGng of notes) and salary for teachers
AKer solver opGmizaGon in “output sheet”,
weekday and weekend
costs will be calculated
and reflected
When done, click “Next” for Output Sheet
AKer opGmizaGon in solver,
catchment of students is reflected here
Output Sheet Optimizing Profits (Weekend + Weekday)
Go to next page for a blown up explanaGon of the output
sheet The solver
opGmizes profit by varying size of
tuiGon center and determines scheduling of
classes for Educat!
Daily profits will be mulGplied to
get weekly profits
Output Sheet Optimizing Profits (Weekend + Weekday)
Output Sheet Optimizing Profits (Weekend + Weekday)
Solver Objec2ve: OpGmize profits
Variable: Class scheduling (weekend + weekday) Constraints: Maximum rentable classrooms (derived from rental budget)
Maximum number of classes to accommodate all student demand
Click “Schedule” to get opGmal class mix, scheduling and generate opGmal profits!
Daily factors are extrapolated to get weekly
opGmal profits
AKer opGmizing via solver, size of center is determined, further determining total
revenue, total costs, number of students taught and daily profits. These values are reflected here as well as in
previous sheets
Display data collected to determine regression line. No acGon required
Input rent
Input size of
classroom
Input uGliGes
Input overheads
Input salary
Output: Price to charge Expected enrollment
Solve for price when profits = 0
Input name
Input level
Input grades obtained before tuiGon
Input grades across enrollment period
Input acendance across the semesters
Input personal details
Input employment
type
Input no. Gmeslots
Input salary rate
Input names of teachers scheduled