8.5Math Enrichment Lab
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Chapter 8 • Dynamic-resource models

Lesson 8.5 — Queues: Arrivals versus Service Capacity

排队问题:到达速度与服务能力

A queue is not fixed while service is happening: new people may keep arriving. Learn to compare the rate entering the line with the rate leaving through ticket windows or entrance gates.

At the instant the queue clears: people already waiting + new arrivals = people served.
Grade 5 enrichment45–60 minutes10 interactive missionsEverything needed is on this page.
Mission 1

Meet the three parts of a queue

Use a steady-rate model: arrivals and each open window’s service rate stay constant. Windows work without breaks while anyone is waiting, and nobody leaves except through service. Alternative trials start with the same queue and use identical windows.

A queue problem has a starting line, people arriving, and people being served. The line changes only because of those three quantities.

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Queue-flow picture

The queue itself is a stock. Arrivals add to it; service removes from it.

Three quantities

Starting queue, Q: people already waiting when service begins.

Arrival rate, a: new people joining each minute.

Service capacity: people checked or admitted each minute.

Do not freeze the line. While windows are serving people at the front, more people may be joining at the back.

Identify each quantity

Mission 2

Build the balance equation

If one window serves r people per minute and m windows are open, their combined service rate is mr.

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At the instant the queue disappears

Q + at = mrt

The left side counts everyone who must be served:

  • Q people who were already waiting;
  • at people who arrive during t minutes.

The right side is what the open windows can serve in that time.

t = Q ÷ (mr − a)

This works only when:

mr > a

Live queue laboratory

120 people
10/min
25/min
2 windows
50served per minute
40net queue reduction
3minutes to clear
clearssystem status

Check the model

Mission 3

Compare two complete service scenarios

Sometimes the number of people one window serves per minute is not given. We can define one window’s one-minute work as one service unit.

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Scenario A

Four ticket windows clear the line in 30 minutes.

4 × 30 = 120 service units

Scenario B

Five ticket windows clear the line in 20 minutes.

5 × 20 = 100 service units

These are separate trials. Both contain the same starting queue and arrival rate, and the stated time is when the line first clears. The 30-minute scenario also includes ten more minutes of arrivals.

Service-unit barssame starting queue
4 windows × 30 min
starting queue30 min arrivals
120
5 windows × 20 min
starting queue20 min arrivals
100
same starting queuearrivals while serving

The bar lengths are scaled to their service-unit totals.

Build the comparison

Mission 4

Reveal the arrival rate and starting queue

Subtracting the two scenarios cancels the same starting queue. What remains is the work caused by ten extra minutes of arrivals.

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Step 1 — arrivals

(120 − 100) ÷ (30 − 20) = 2

The arrival rate is 2 service units per minute.

Unit warning: this does not necessarily mean 2 people per minute. One service unit means the number of people one window can check in one minute.

Step 2 — starting queue

120 − 2 × 30 = 60

So the line already contained 60 service units of work when ticket checking began.

Cancel the shared start120 − 100

The shared blue part cancels; the leftover orange part is ten minutes of arrivals.

Check the hidden quantities

Mission 5

How long with seven windows?

Two window-units of capacity are needed just to keep up with new arrivals. Only the capacity beyond that reduces the original queue.

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Window-count explorer

7 windows
7service units/min
2arrival units/min
5net reduction/min
12minutes to clear

The seven-window calculation

Net reduction = 7 − 2 = 5 Time = 60 ÷ 5 = 12 minutes

Imagine that two of the seven windows spend all their capacity serving people who keep arriving. The remaining five window-units reduce the original line.

Boundary cases:

  • 1 window: the line grows.
  • 2 windows: the line stays the same size.
  • 3 or more: the line eventually clears.

Finish the example

service units per minute
minutes
Mission 6

Use actual passengers per minute

In two separate trials, a station starts with 945 waiting passengers. Four windows first clear the line after 15 minutes; eight identical windows first clear it after 7 minutes. New passengers arrive at a constant rate.

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Let r be one window’s rate and a be arrivals per minute

4r × 15 = 945 + 15a
8r × 7 = 945 + 7a

Divide each equation by its time:

4r − a = 63
8r − a = 135

Subtract:

4r = 72, so r = 18

Then:

a = 4×18 − 63 = 9
Five-minute target945 already waiting

In five minutes, 45 more passengers arrive, so 990 passengers must be served.

How many windows for a five-minute target?

945 + 9×5 = 990 peopleOne window serves 18×5 = 90 people in 5 minutes990 ÷ 90 = 11 windows

Check the station model

people per minute
people per minute
Mission 7

Decide whether a queue can clear

A train station receives 15 new passengers each minute. One window serves 30 passengers each minute. With one window, the queue disappears in 6 minutes.

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Recover the starting queue

Net reduction = 30 − 15 = 15 people/min Starting queue = 15 × 6 = 90 people

Open two windows

Net reduction = 2×30 − 15 = 45 people/min Time = 90 ÷ 45 = 2 minutes

Capacity test

2 windows
60total service/min
15arrivals/min
45net reduction/min
clearsqueue behavior

General test: if service capacity is equal to arrivals, the queue stays constant; if it is smaller, the queue grows.

Check the 90-person queue scenario

people
minutes
Mission 8

Work backward to when the queue began

An exhibition starts admitting visitors at 9:00. Before that, visitors join an initially empty line at the same constant rate as after opening, and nobody is admitted early. In separate trials with the same starting queue, three identical gates first clear it in 9 minutes or five first clear it in 5 minutes.

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Find the arrival rate in gate-service units

3×9 = 275×5 = 25

The 9-minute scenario contains four more minutes of arrivals but only two more service units:

a = (27−25) ÷ (9−5) = 0.5

Find how long people arrived before 9:00

Let x be the minutes before opening.

27 = 0.5(x+9) x = 45

The first visitor arrived at 8:15.

Clock and timelinefirst arrival → opening
39

Schematic timeline: intervals are not drawn to a common time scale. The queue at 9:00 was created by 45 minutes of arrivals before the gates opened.

Check the backward reasoning

Mission 9

Plan a different ticket queue — independent investigation

Try the eight steps yourself, using a small hint if needed. Check an attempt before opening worked review. Correct all eight to complete this investigation.

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In separate trials starting with 240 people, three identical windows first clear the queue in 8 minutes or five first clear it in 4 minutes. Arrivals are constant and each window serves equally fast. Let r be people served by one window per minute, and a the arrivals per minute.

Write quantities in one consistent unit. Enter decimals or fractions such as 30/7; a decimal within 0.001 is accepted.

Hint

Divide the starting queue by the time needed to remove it.

Worked solution

240 ÷ 8 = 30, so 3r − a = 30.

Hint

Divide the same starting queue by the four-minute clearing time.

Worked solution

240 ÷ 4 = 60, so 5r − a = 60.

Hint

Subtract the net-rate equations so that the same arrival rate cancels.

Worked solution

Subtract the equations: 2r = 30, so r = 15.

Hint

Total service minus net queue reduction equals arrivals.

Worked solution

3 × 15 − 30 = 15.

Hint

Multiply one window’s service rate by four windows.

Worked solution

4 × 15 = 60.

Hint

Subtract arrivals per minute from all four windows’ service per minute.

Worked solution

60 − 15 = 45 people/min.

Hint

Subtract four minutes of net reduction from the initial 240 people.

Worked solution

240 − 45 × 4 = 60.

Hint

Include three minutes of new arrivals, divide by one window’s three-minute capacity, then round up to a whole number of windows.

Worked solution

Need (240 + 15 × 3) ÷ (15 × 3) = 285 ÷ 45 = 6⅓ windows. Round UP to 7; 6 cannot meet the deadline.

Mission 10

Exit ticket

Answer all five questions. A perfect score completes the exit ticket. The certificate also requires the other core missions and the independent investigation.

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minutes
people
minutes

Certificate of Mastery

Queue-Flow Systems Engineer

This certifies that the learner can separate a starting queue from continuing arrivals, calculate service capacity, test whether a queue can clear, and work backward from multiple service scenarios.

Q + at = mrt

Lesson 8.5 • Grade 5 Math Enrichment

Teaching notes