Future State Map: The 8 Questions Step by Step, With a Worked Example

Advanced 14 min read · Updated 2026-10-31

Rother and Shook reduce value stream design to eight questions that you answer in a fixed order: first customer and takt, then flow and pull, then scheduling, and last the improvements you need. This lesson walks through each question on the steering bracket example and checks every answer with numbers. The result is a production lead time of 4.0 days instead of 11.3 and roughly two thirds less inventory. The design guidelines themselves are covered in the lesson on future-state design guidelines; this lesson is about the procedure.

Starting point: the current state

Steering bracket, left and right hand, 920 pcs per day, two shifts with 920 minutes of available time in total. Five processes: stamping (1 s, changeover 60 min, batch 1,000, uptime 85%, EPEI 3 days), welding 1 (39 s), welding 2 (46 s, uptime 80%), assembly (62 s, 2% scrap) and shipping. In between: coils for 5 days, stamped parts for 2.5 days, a FIFO lane with 40 assemblies, 1,600 welded parts (1.74 days) and finished goods for 2 days.

The timeline gives a production lead time of 11.3 days against 153 s of processing time. Inventory excluding purchased parts: 4,600 + 2,300 + 40 + 1,600 + 1,840 = 10,380 pcs (coils counted as piece equivalents). The bottleneck is assembly at 63.3 s effective cycle time; welding 2 is just below it at 57.5 s.

The current state is built step by step in the lesson /learn/value-stream-mapping-example/. For the future state you only need the data boxes and the inventories.

Questions 1 and 2: takt time and finished goods

Question 1: What is the takt time? It is the yardstick for every later decision. Set the planned cycle time of a process slightly below it so that downtime and scrap still fit.

Question 2: Will you build to a finished goods supermarket or directly to shipping? The steering bracket is a standard part with daily, fairly even customer releases. So a finished goods supermarket stays, but it is limited: one day of release cycle plus half a day of safety against fluctuations in the releases, so 1.5 days. For customer-specific parts you would build directly to shipping instead.

Takt time = available working time per day ÷ customer demand per day = 920 min × 60 s ÷ 920 pcs = 60 s
Finished goods supermarket: 1.5 days × 920 pcs = 1,380 pcs instead of 1,840 pcs (2 days) today.

Questions 3 and 4: Where can it flow, where do you need a supermarket?

Question 3: Where can you use continuous flow? Look for neighboring processes with cycle times close to takt and no significant changeover. Welding 1, welding 2 and assembly meet these conditions: 39 + 46 + 62 = 147 s of work content. They are combined into one cell; the FIFO lane and the 1,600 welded parts disappear.

Stamping does not fit into the cell: 1 s cycle time against 60 s takt, a long changeover, and the press supplies both variants in batches. In the cell it would spend almost all its time waiting.

Question 4: Where do you need supermarket pull systems? Wherever a process cannot be linked by flow. That is why a stamped-parts supermarket sits after stamping, and the cell pulls from it with withdrawal kanban; each withdrawal triggers replenishment through the kanban post. A coil supermarket sits in front of stamping, and the steel mill will refill it daily instead of twice a week.

Operators in the cell = work content ÷ planned cycle time = 147 s ÷ 56 s = 2.63 → 3 operators Capacity = 3 × 56 s = 168 s ≥ 147 s (utilization 87.5%)
Why 56 s instead of 60 s? With 95% uptime and 1% scrap, 60 s × 0.95 × 0.99 = 56.4 s of the takt remain. Check with the effective cycle time: 56 ÷ 0.95 ÷ 0.99 = 59.5 s, just below the 60 s takt time.

Questions 5 and 6: pacemaker and product mix

Question 5: At what single point will you schedule production? Only one process receives customer demand: the pacemaker process. Here it is the cell. Upstream of it, supermarkets are replenished by pull; downstream, parts flow to the finished goods supermarket and to shipping. The weekly schedules for stamping, welding 1 and welding 2 go away; production control sends the daily release to the cell only.

Question 6: How will you level the production mix at the pacemaker? Instead of building all left-hand brackets first and then all right-hand ones, the cell switches variants at short intervals. This works because the cell has practically no changeover. The gain shows upstream: stamping sees even consumption of both variants and can run smaller batches, and the stamped-parts supermarket needs only one day.

Questions 7 and 8: pitch and required improvements

Question 7: What increment of work will you consistently release at the pacemaker? The pitch is the time for one shipping container. With 20 steering brackets per container and a 60 s takt, that is 20 minutes. Production control or the material handler releases one container every 20 minutes, for example through a heijunka box. A deviation from takt then shows up after 20 minutes at the latest, not at the end of the shift.

Question 8: What process improvements are necessary for the design to work? Every assumption in the previous answers becomes an action with an owner and a due date; in the editor it is a kaizen burst placed where it takes effect.

Pitch = takt time × pack-out quantity = 60 s × 20 pcs = 1,200 s = 20 min Releases per day = 920 min ÷ 20 min = 46
EPEI at stamping: a batch of 300 pcs covers 300 ÷ 460 = 0.65 days of demand for one variant. So each variant runs at least once a day instead of every three days, and the stamped-parts supermarket with one day (920 pcs) covers this with room to spare.

Result: current and future state compared

Production lead time drops from 11.3 to 4.0 days: coils 1.5 + stamped parts 1 + finished goods 1.5 days. Inventory excluding purchased parts drops from 10,380 to 3,680 pcs (1,380 + 920 + 1,380), a reduction of 6,700 pcs or roughly two thirds. The processing time of the parts hardly changes; almost all of the gain is waiting time.

Be careful with the value-added ratio. The timeline adds up cycle times along the main path. In the future state the cell counts with its 56 s cycle time, not with its 147 s of work content. Processing time on the timeline therefore falls from 153 s to 62 s (1 + 56 + 5), and the value-added ratio rises only from 0.025% to 0.028%. Compare current and future state by lead time and inventory, not by value-added ratio.

Implementation: plan in loops

A future state is not introduced all at once. Divide the value stream into loops: the pacemaker loop (cell to customer) and the upstream loops (stamping with its supermarket, supplier with the coil supermarket). You usually start with the pacemaker loop because it sets the takt for all the others.

Each loop gets a value stream plan for the year: objective, actions, owners, due dates and a metric to track progress. In the editor, set the map’s state to future, enter the actions as kaizen bursts and quantify the gain with the current/future comparison. Use the simulation to check whether the supermarkets hold up when cycle times vary and breakdowns occur.

Practice in the editor

Open the demo “Steering bracket (current state)”, answer the eight questions as comments on the elements, and compare your result with the template “Steering bracket (future state)” using “Current/future comparison”.

Open the template in the editor Start blank

Free, no sign-up, in your browser. Metrics, timeline and checks are calculated automatically.

Frequently asked questions

What are the eight future state questions?

1. What is the takt time? 2. Finished goods supermarket or build directly to shipping? 3. Where can you use continuous flow? 4. Where do you need supermarket pull systems? 5. Which process is the pacemaker? 6. How will you level the production mix? 7. What increment of work (pitch) will you release consistently? 8. What process improvements are necessary? The questions come from “Learning to See” by Rother and Shook.

Do I have to answer the questions in this order?

Yes, because the answers build on each other. Without takt time you cannot design a cell, without a cell you cannot choose the pacemaker, and without a pacemaker you cannot set the pitch. Question 8 collects all the prerequisites that the other answers quietly assume.

How many operators does a flow cell need?

Work content ÷ planned cycle time, rounded up. In the example 147 s ÷ 56 s = 2.63, so three operators. The planned cycle time is below takt time so that downtime and scrap do not push the cell above takt.

Why does processing time on the timeline drop even though the work stays the same?

The timeline adds up cycle times, not work content. Three processes at 39, 46 and 62 s become one cell with a 56 s cycle time; the 147 s of work is shared by three operators working in parallel. To compare current and future state, use lead time and inventory.

How large should the supermarkets be in the future state?

As large as demand during the replenishment cycle plus safety stock. In the example: coils one day of delivery cycle plus half a day of safety (1.5 days), stamped parts about 0.65 days of batch coverage plus a reserve (1 day), finished goods one day of releases plus half a day (1.5 days). The kanban calculator gives the exact inventory.

Self-test

1. Which question starts the development of the future state?
Takt time is the yardstick for flow, staffing and pitch. The actions only come with question 8.
2. A cell has 147 s of work content and a planned cycle time of 56 s. How many operators does it need?
147 ÷ 56 = 2.63, rounded up to 3. Two operators would only have 112 s of capacity per cycle.
3. Why does stamping not belong in the cell in this example?
The press is much faster than takt and has to change over. It is linked through a supermarket with kanban.
4. Takt time 60 s, 20 pcs per shipping container. How long is the pitch?
60 s × 20 = 1,200 s = 20 minutes. One container is released every 20 minutes.
5. Which metric is least suitable for comparing current and future state when processes are combined into a cell?
On the timeline the cell counts with its cycle time, not its work content. Processing time therefore drops on paper, and the value-added ratio barely rises.

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