Comments on: Queueing Theory Calculations and Examples https://6sigma.com/queueing-theory-part-3/ Six Sigma Certification and Training Fri, 28 Feb 2025 06:02:57 +0000 hourly 1 By: John https://6sigma.com/queueing-theory-part-3/#comment-24353 Mon, 25 Sep 2017 23:42:07 +0000 https://opexlearning.com/resources/170/queueing-theory-part-3#comment-24353 In reply to John.

Can you help me with a possible methodology?

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By: John https://6sigma.com/queueing-theory-part-3/#comment-24352 Mon, 25 Sep 2017 23:40:38 +0000 https://opexlearning.com/resources/170/queueing-theory-part-3#comment-24352 I want to apply queuing theory on highway toll plazas to see how long vehicles will spend on queuing before being served.

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By: uthman https://6sigma.com/queueing-theory-part-3/#comment-24351 Fri, 24 Feb 2017 21:22:25 +0000 https://opexlearning.com/resources/170/queueing-theory-part-3#comment-24351 I want to apply queueing theory in bank to see how long a customer spend on queueing before. Bn serve. How can I get my data

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By: Carl https://6sigma.com/queueing-theory-part-3/#comment-24349 Mon, 22 Oct 2012 10:39:06 +0000 https://opexlearning.com/resources/170/queueing-theory-part-3#comment-24349 The probability is simply 1-Utilization rate.

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By: Steve https://6sigma.com/queueing-theory-part-3/#comment-24348 Fri, 21 Sep 2012 17:30:24 +0000 https://opexlearning.com/resources/170/queueing-theory-part-3#comment-24348 I notice that the probability (% of time) is missing from your excel instructions, can you please include it?

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By: Jen https://6sigma.com/queueing-theory-part-3/#comment-24347 Tue, 15 Nov 2011 20:02:07 +0000 https://opexlearning.com/resources/170/queueing-theory-part-3#comment-24347 I am trying to apply your spreadsheet calculations to a queuing line for access to a high school parking lot. Actually, I would like to create two scenarios, as a demonstration of what appears to be faulty thinking.

Approximately 380 student & parent-driven drop-off vehicles arrive within a 25 minute period to access parking at the school. (Approximately 1/5 of the vehicles are parent driven). The in-Queue is a 1 mile stretch of county road that runs from a traffic light to the school. Prior to that, students arrive from any one of three directions at a variable rate. The traffic light throws a dimension into this that we really do not need to consider because the queue is consistently solid for the whole mile for at least 15 of the 25 minutes. Suffice it to say that everyday (M-F), a line forms from the light to the school entrance… bumper to bumper. The dead-end county road has light commuter traffic – mostly out to the light… maybe 30-35 vehicles (including school arrivals) within that same 25 minute period. Buses have another entrance.

The students have devised a “brilliant” way to circumvent interference by the out-traffic, without considering how much they are slowing down the in-traffic by doing so. Periodically, a student will drive past the school entrance (there is a double lane to facilitate thru in-traffic). These students then make a u-turn at the next available community entrance. Each student who does this then helps create a 4-way stop situation (thereby causing a queue to form for the out-traffic) by letting alternating in-traffic make the turn into the school. In doing so, they are probably doubling the wait time for those students in the in-traffic queue.

How best to show the difference between this method and allowing the thru out-traffic to flow at 30 mph with no stops so they are not “in the way” of the students waiting to turn? Obviously those students approaching the turn into the school when there are no outbound vehicles would not have to come to a complete stop.

I would like to demonstrate for a math class how much time is added to each student’s wait time by their “brilliant” 4-way stop approach. Just the hesitation alone while everyone ensures the out-bound vehicle is going to allow the in-bound vehicle to turn can be 3-5 seconds… not to mention everyone having to come to a full stop at this point.

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By: Marcela Linares https://6sigma.com/queueing-theory-part-3/#comment-24346 Fri, 21 Oct 2011 04:36:14 +0000 https://opexlearning.com/resources/170/queueing-theory-part-3#comment-24346 Does this model only work for a single server? I am trying to calculate the average number of parts in each of the workstations in a paint shop. Do you think I can use this approach?

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By: John https://6sigma.com/queueing-theory-part-3/#comment-24345 Sat, 06 Aug 2011 08:23:38 +0000 https://opexlearning.com/resources/170/queueing-theory-part-3#comment-24345 I notice that the probability (% of time) is missing from your excel instructions, can you please include it?

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By: James Nutting https://6sigma.com/queueing-theory-part-3/#comment-24344 Fri, 02 Jan 2009 16:22:30 +0000 https://opexlearning.com/resources/170/queueing-theory-part-3#comment-24344 Hallo,

I am trying to discover if there is a reasonably simple way to predict the probability of a Queue Wait time exceeding a certain length for a multi-server queueing system with a poisson arrival rate and a constant service rate. For example, for a call centre with a call arrival rate of 50 / Hour, and a service time of 5 minutes, how can I calculate how many servers I will need in order that 80% of calls have a wait time of > 20 seconds.

I would be very grateful if you could let me know whether this calculation is possible, and if so, what the equation is. Many thanks

James Nutting

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By: Andy Sanyal https://6sigma.com/queueing-theory-part-3/#comment-24343 Fri, 08 Feb 2008 00:04:28 +0000 https://opexlearning.com/resources/170/queueing-theory-part-3#comment-24343 What happens if my service rate is lower than my arrival rate? How do I deal with the negative values?

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