In: Operations Management
Question
The management of a busy petrol station is concerned that customers are being lost because of long waiting times sometimes required at their petrol pump. Over a two weeks period a careful study has been taken of the arrival of cars and the length of time taken to serve customers at the petrol station. The tables below show the arrival rates and the service time distribution:
Inter arrival time (minutes) |
Percentage of customers |
Service time (minutes) |
Percentage of customers |
||
0 - <2 |
60 |
0 - <4 |
20 |
||
2 - <4 |
25 |
4 - <6 |
30 |
||
4 - <6 |
10 |
6 - <8 |
20 |
||
6 - <8 |
5 |
8 - <10 |
15 |
||
10 - <12 |
15 |
(a) Average inter-arrival time.
Use the random numbers given below for the simulation.
89,34,07,65,37,11,29,80,28,34,08,14,75,92,01,48,21,83,63,91.
Service |
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Cust. No. |
Random Number |
Inter-Arrival Time |
Clock time |
Random Number |
Service Time |
Service Starts |
Service Ends |
Waiting Time |
Queue Length |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
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2 |
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3 |
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4 |
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5 |
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6 |
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7 |
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8 |
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9 |
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10 |
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Inter arrival time (minutes) | Avg Inter-arrival time | Percentage of customers | Cummulative Probability | Random No. Assignment |
0 - <2 | 1 | 60 | 60 | 01 to 60 |
2 - <4 | 3 | 25 | 85 | 61 to 85 |
4 - <6 | 5 | 10 | 95 | 86 to 95 |
6 - <8 | 7 | 5 | 100 | 96 to 100 |
Service time (minutes) | Average Service time | Percentage of customers | Cummulative Probability | Random No. Assignment |
0 - <4 | 2 | 20 | 20 | 01 to 20 |
4 - <6 | 5 | 30 | 50 | 21 to 50 |
6 - <8 | 7 | 20 | 70 | 51 to 70 |
8 - <10 | 9 | 15 | 85 | 71 to 85 |
10 - <12 | 11 | 15 | 100 | 86 to 100 |
Customer No | Random Number | Inter-Arrival Time | Clock time | Service Random Number | Service Time | Service Starts | Service Ends | Waiting Time | Queue Length | ||
1 | 89 | 0 | 0 | 8 | 2 | 0 | 2 | 0 | 0 | ||
2 | 34 | 1 | 1 | 14 | 2 | 2 | 4 | 1 | 1 | ||
3 | 7 | 1 | 2 | 75 | 9 | 4 | 13 | 2 | 1 | ||
4 | 65 | 3 | 5 | 92 | 11 | 13 | 24 | 8 | 1 | ||
5 | 37 | 1 | 6 | 1 | 2 | 24 | 26 | 18 | 2 | ||
6 | 11 | 1 | 7 | 48 | 5 | 26 | 31 | 19 | 3 | ||
7 | 29 | 1 | 8 | 21 | 5 | 31 | 36 | 23 | 4 | ||
8 | 80 | 3 | 11 | 83 | 9 | 36 | 45 | 25 | 5 | ||
9 | 28 | 1 | 12 | 63 | 7 | 45 | 52 | 33 | 6 | ||
10 | 34 | 1 | 13 | 91 | 11 | 52 | 63 | 39 | 7 | ||
Total | 13 | 63 |
|
30 |
a) Average Inter-arrival Time = [(Inter
arrival times) ] / [ Number of arrivals-1]
= 13/9 = 1.4444 minutes
b) Average Service time = [(Service
times) ] / [Number of Customers]
= 63/10 = 6.30 minutes
c) Average Waiting time = [(Waiting
times in queue) ] / [Number of Customers]
= 168/10 = 16.8 minutes
d) Average queue length = [(Queue
length) ] / [Number of Customers]
= 30/10 = 3
As is clearly evident from the simulation, the waiting time
shows an increasing trend and length of queue keeps on increasing.
The customers won't join the queue, if the queue is too long and
would not use the services at the pump, leading to potential
revenue losses.
There is a need of setting up a new pump and employing more staff.
This will reduce queue length and would boost the revenues and
increase customer satisfaction because of reduced waiting
times.