A restaurant needs full-time and part-time staffs for daily
operation in the year of 2019. The forecasted number of customers
for Monday is 80. The forecasted number then increases by 10% each
day from Tuesday to Saturday. For example, it is forecasted that
there will be 80*110% customers on Tuesday and 80*(110%)2 customers
on Wednesday, and so on. The forecasted number drops to 70 on
Sunday.
A full-time staff works for the restaurant throughout 2019. She/he
works 7 days a week and is paid $100 a day. A full time staff can
serve up to 30 customers a day. Part-time staff are hired on daily
basis. A part-time staff is paid $64 a day and can serve up to 20
customers a day.
There should be at least one (1) full-time staff. The ratio of
full-time staff to part-time staff at any day is at least one to
three (1:3). All forecasted demands need to be served.
Apply the linear programme (LP) model to determine the number of
full-time staffs required for 2019 and the number of part-time
staffs required for every day in a week (Monday to Sunday) for
2019. State your model assumption, your objective and decision
variables clearly.
You only need to formulate the LP model and do not need to solve
it.
Let's consider F and number of full time staff and Pi as number of part time staff.
where i = Monday to sunday. where mondya = 1 and sunday = 7
The objective is to minimize the total cost of labor.
Thus, the objective function will be as follows -
Min 100F + 64P1 or
Min 100F + 64(P1 + P2 + P3 + P4 + P5 + P6 + P7)
Now, lets consider various constraint.
It is given that there should be at least 1 full time worker, thus,
F>=1
and
Pi>=0
Also, F/Pi >= 1/3
For monday - 30F + 20P1 = 80
Tuesday - 30F + 20P2 = 88
Wednesday - 30F + 20P3 = 96.8
Thursday - 30F + 20P4 = 106.48
Friday - 30F + 20P5 = 117.128
Saturday - 30F + 20P6 = 128.85
Sunday - 30F + 20P7 = 70
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