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RSM270 · Operations Management · Fall 2026

Week 3: Little’s Law and Inventory Build-up

This week, you will trace where cranberries wait when deliveries outpace processing, calculate the resulting truck delay, and use Little’s Law to test a container-terminal plan.

Stacks of shipping containers in a waterfront terminal yard
Containers waiting in a yard are inventory in a process; their average number depends on average throughput and flow time. Photo: Jerome Monta / Unsplash.

Trace inventory over one day

A cranberry processor starts empty at 12:00 a.m. Farmers deliver cranberries until 12:00 p.m. at 2 tons/hour. The plant processes 1 ton/hour around the clock. Treat both flows as continuous.

Build-up rate
input rate − processing rate
Inventory change
build-up rate × elapsed time
Average inventory
area under the curve ÷ elapsed time
Calculate the inventory path

Use the rates above. Enter only the number where a unit is shown beside the field.

tons
tons

Inventory peaks at noon and clears by midnight

What this figure shows: inventory rises while the 2 tons/hour delivery rate exceeds the 1 ton/hour processing rate, reaches 12 tons at noon, and then falls to 0 tons by midnight.
Show the calculations
12:00 a.m.–12:00 p.m.
(2 tons/hour − 1 ton/hour) × 12 hours = 12 tons
12:00 p.m.–12:00 a.m.
12 tons ÷ 1 ton/hour = 12 hours, so inventory clears at 12:00 a.m. the next day.
Inventory area
½ × 24 hours × 12 tons = 144 ton-hours
Average inventory
144 ton-hours ÷ 24 hours = 6 tons

A smaller bin moves the waiting

The bin can now hold only 6 tons, so loaded trucks wait outside when it is full. Keep the same 24-hour continuous-flow profile, use 1 ton/truck to express the outside buffer in trucks, and assume that no cranberries are lost.

Average inventory (I)
average number of flow units inside the chosen boundary
Average throughput (R)
average rate at which flow units leave that boundary
Average flow time (T)
average time a flow unit spends inside that boundary

For this activity, the chosen boundary is the outside truck queue, so a truck’s flow time is its wait to unload. Little’s Law gives I = R × T.

Calculate where the cranberries wait

Use a 24-hour day. For trucks, use the average throughput of 24 trucks/day, or 1 truck/hour.

trucks
hours

The backlog is split between two buffers

In the bin
4.5 tons on average · 6 tons maximum
On loaded trucks
1.5 trucks on average · 6 trucks maximum
What this figure shows: the 6-ton bin limit does not remove the noon backlog. It keeps 6 tons in the bin and leaves 6 tons on loaded trucks; over 24 hours, waiting inventory is split between the bin and the trucks.
Show the calculations
Truck-queue area
½ × 12 hours × 6 trucks = 36 truck-hours
Average trucks waiting
36 truck-hours ÷ 24 hours = 1.5 trucks
Average bin inventory
6 tons combined average − (1.5 trucks × 1 ton/truck) = 4.5 tons
Average truck throughput
24 trucks/day ÷ 24 hours/day = 1 truck/hour
Average truck wait
1.5 trucks ÷ 1 truck/hour = 1.5 hours

Use averages from the same process boundary and time period. The 2 trucks/hour delivery rate during the first 12 hours is not the 24-hour average throughput.

Test a container-terminal plan

A new Port of Vancouver terminal expects containers to spend an average of 2 days in the yard before shipment and targets average throughput of 2,000 containers/day. Its yard allows average inventory of 3,000 containers.

Inventory
I = R × T
Throughput
R = I ÷ T
Flow time
T = I ÷ R
Check the operating promise

First test the original plan using average values and days. Then consider a revised plan: average yard inventory is expanded to 4,000 containers, the throughput target rises to 4,000 containers/day, and no further expansion is available.

containers
day

The original yard allowance is insufficient

Original plan
Yard allowance 3,000 containers
Required average inventory 4,000 containers

Revised plan

What this figure shows: the original yard cannot support both 2,000 containers/day of average throughput and a 2-day average stay. With average inventory fixed at 4,000 containers, doubling throughput requires reducing average flow time to 1 day.
Show the calculations
Required inventory
2,000 containers/day × 2 days = 4,000 containers
Yard shortfall
4,000 containers − 3,000 containers = 1,000 containers
Revised flow time
4,000 containers ÷ 4,000 containers/day = 1 day

Decision limit: Little’s Law identifies the required average inventory or flow time. It does not identify which operating change will reduce delays.

Make the recommendation