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Queueing Theory

DMV Queueing Properties: Waiting in Line at the Local Department of Motor Vehicles

No matter who you are – rich, old, poor, young, famous, infamous, or not known to anybody – there are a few things that unite us all and we all have in common:

  1. We all bleed
  2. We all breath oxygen
  3. We all put on our pants one leg at a time
  4. Taxes
  5. AND – we are all subject to government services, such as the DMV.

Thus was my plight a few weeks ago.

PS: Go here if you’re interested in other articles on Queueing Theory.

Renewing my Drivers License at the DMV

In the United States, every few years you have to renew your Driver’s License at the Department of Motor Vehicles (DMV). So, mine was expired by a few days, I needed to renew it or else I wouldn’t be legally allowed to drive my vehicle.

So, I planned on being at the DMV the second it opened, hoping that things would go quickly and smoothly. I made sure that I brought my Passport, Social Security Card, and 2 proofs of residency for my state, since I moved here out of state.

I arrived at 9:02 AM and there was, unfortunately, a line going out of the building. So, I patiently took my place in the Queue and waited patiently. Even though I had to wait, I received excellent customer service.

dmv wait times and queueing

While waiting in line, I thought to myself that I should collect Queueing data. Heck, I have nothing better to do, so below is the data set I collected.

Cycle # Start Time End Time Service Cycle Time # of Arrivals # of Departures
1 07-26-2012 09:03:54 AM 07-26-2012 09:07:55 AM 240.815754 7 1
2 07-26-2012 09:07:55 AM 07-26-2012 09:09:07 AM 72.783765 1 1
3 07-26-2012 09:09:07 AM 07-26-2012 09:10:41 AM 93.917907 2 1
4 07-26-2012 09:10:41 AM 07-26-2012 09:12:28 AM 106.948664 0 2
5 07-26-2012 09:12:28 AM 07-26-2012 09:14:26 AM 118.004521 0 2
6 07-26-2012 09:14:26 AM 07-26-2012 09:16:24 AM 117.90553 1 4
7 07-26-2012 09:16:24 AM 07-26-2012 09:19:22 AM 177.614429 1 2
8 07-26-2012 09:19:22 AM 07-26-2012 09:25:01 AM 338.985608 1 1
9 07-26-2012 09:27:16 AM 07-26-2012 09:28:35 AM 78.453296 2 1
10 07-26-2012 09:28:35 AM 07-26-2012 09:29:42 AM 67.075174 0 1
11 07-26-2012 09:29:42 AM 07-26-2012 09:34:54 AM 312.357674 6 1
12 07-26-2012 09:34:54 AM 07-26-2012 09:35:31 AM 36.476468 0 2
13 07-26-2012 09:35:31 AM 07-26-2012 09:37:17 AM 106.247341 0 1

Data Definition

To do the above time study of waiting times at the DMV, I just used my iPhone clock and a pencil and paper. Really simple – boring – YES; but simple too.

Here are the definitions of the above data values:

  1. Start Time / End Time: This is the time from when a customer is called to the DMV officer to when the customer is complete with their transaction. This usually starts with “# xyz come to Desk abc” – at this point I’d start the timer. Then, when the customer leaves that desk, I end the time.
  2. Cycle Time: This represents the Service Time in seconds, or the difference between Start Time and End Time.
  3. # of Arrivals: This represents the number of customers who enter the DMV office and begin waiting at the back of the line.
  4. # of Departures: This number represents the number of customers who exit the building after they have been served by the DMV officer.

Notice that I did not time every single transaction – only the ones that I could. So, what is missing here are the simultaneous transactions. Because I only had 1 timer, I could only time 1 transaction at most. That is why there is a difference between # of Arrivals and # of Departures.

After of about 17 minutes of waiting, I finally made it to the point in the line where I could get a number. Below is my Queue number.

dmv practice test

DMV Queueing Results

For the 31 minutes I collected data, below are the key takeaways:

DMV Waiting Line Key Takeaways (31 minutes)

Average Service Time # of Arrivals # of Departures
143 Seconds Per Customer 9 Arrivals 11 Departures

Graphs and Charts

Given the data above, below are a few results of my time at the DMV and the Queueing properties at the Department of Motor Vehicles waiting line:

waiting time at dmv, histogram

This chart tells us the distribution of Service time. Given the 13 observations, it took an average of 143 seconds to serve a customer. Not bad.

waiting line at dmv, run chart

This chart is another picture of service time – this is a run chart perspective.

waiting time, control chart, dmv

Okay, a negative Lower Control Limit (LCL) makes no sense, but that is what the iPhone Cycle Time app gave me. So, I just posted it here for fun. But, in practice – there is no practical or theoretical use for negative LCL.

Now, this chart shows us a Control Chart of the Service Time – not really helpful given the number of observations, but it’s another picture.

All in all, this DMV treated me well and worked very efficiently. The DMV officers worked well and fast and kept up with the length of the Queue by the evidence of customers exiting more than customer were entering. For a busy operation such as the DMV, this is a good property to see, where the exit rate is faster than the enter rate.

The line of customers at the Jacksonville license tag agency was so long Friday that one customer wondered aloud whether prisoners were in a back room making the plates.

Aside from the DMV officers working faster and more effectively, they have also employed a self-service within the building that has helped to increase velocity. Below, you’ll see their use of the Apple iPad in helping customers renew their Driver’s License.

Unfortunately, because I’m new to the state of Tennessee, I wasn’t able to use the Apple iPad to get my license – but I could see that those self-service lines were faster than the DMV officer lines.

ipad-dmv-drivers-license-practice-test

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Discussion

1 Response

  1. Here’s a comment from a member of the INFORMS group on Linkedin:

    Be careful with Queuing theory, there are only very limited situations where the assumptions needed to apply an analytical solution exist.

    It is my opinion that QT is probably the most well-known but misapplied OR technique that is popular with non-OR people.

    In this particular case:

    1. DMV arrivals are typically NOT independent. Most states have indirectly set up a system where there will be batches of people either with the same birthday [Florida] or same original registration date [Oregon] which effectively sets up a pseudo-scheduled system and not an independent random arrival situation.

    2. Arrival rates and Service times are almost NEVER normally distributed when a human interaction is involved and the needs are not homogenous. Arrival rates are typically exponential and service times Erlang. But I have seen so many non-OR people mess this up by slapping normal distributions on observations and inappropriately applying very simplistic QT equations and making decisions based on faulty assumptions.

    Now that begin said the use of run charts can be useful, but you got to make sure they even make sense. You have a LCL of a negative cycle time????

    My point is analytical QT equation usage is very dangerous because a lot of the time the equations are taught and the general insights are explained [i.e. 100% utilization is not the goal, etc. etc.]. But it seems very few people pay attention to the extreme restrictions in place to actually use the analytical equation’s results to make decisions in real world situations.

    In addition, the “Cult of the Normal Distribution” that is prevalent in “improvement” or “business analytical” professionals is going to be its downfall. Only things that are not influenced by any special cause have a possibility of being described by such a distribution – and there are very few of those in the real world.
    Posted by William “Ike” Eisenhauer

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