A community is served by two cab companies. Each company owns
two cabs and both share the
market equally, as evidenced by the fact calls for service arrive
at each company’s dispatching office
at the rate of eight per hour. The average time per ride is 12
minutes. The two companies were
recently bought by an investor, who is interested in consolidating
them into a single dispatching
office. Is that beneficial to the community (assuming that pricing
stays the same)?
Now let's compare both the models:
Lambda | mu | c | System/Source Limit | ||
Model 1 | M/M/2 | 8 calls per hour | 5 rides per cab per hour | 2 | Infinite |
Model 2 | M/M/4 | 16 calls per hour | 5 rides per cab per hour | 4 | Infinite |
Let's compare both the models on the basis of how much a customer has to wait for a ride on an average. We can calculate Wq from the formula or from TORA.
Wq for the two-cab situation = 0.356 = 21 minutes
Wq for the consolidated single dispatching office = 0.149 = 9 minutes
Hence, a customer has to wait less and hence it is beneficial for the community.
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