Diagnostic

Value Stream Mapping

VSM is the diagnostic that feeds everything else. Map the current state with real data. Identify where flow breaks. Design the future state with kaizen bursts. Simulate before committing resources. Promote to hoshin and track savings. This is not a wall poster exercise.

In This Playbook

  1. 1. VSM as Diagnostic
  2. 2. Current-State Mapping
  3. 3. Identifying Constraints
  4. 4. Future-State Design
  5. 5. Simulation Before Commitment
  6. 6. Connecting VSM to Hoshin
  7. 7. VSM in the Campaign Cycle
1

VSM as Diagnostic

Value stream mapping is a diagnostic tool. It shows you where the problems are. It does not fix them — that is kaizen’s job. But without a clear diagnosis, kaizen is guessing.

A value stream map captures the flow of materials and information from supplier to customer, including every process step, every delay, every handoff. At each step, you record data: cycle time, changeover time, uptime, operators, WIP. The map reveals the gap between processing time (actual value-added work) and lead time (total time from order to delivery). In most operations, processing time is 1-5% of lead time. The rest is waiting.

What VSM is not

2

Current-State Mapping

The current-state map answers one question: what is actually happening right now? Not what the process document says. Not what the manager believes. What is physically happening on the floor, measured and recorded.

Supplier
Cutting
C/T: 45s
C/O: 12 min
Uptime: 92%
Operators: 1
Press
C/T: 62s
C/O: 28 min
Uptime: 74%
OEE: 62%
SMED target
OEE kaizen
Finishing
C/T: 38s
C/O: 5 min
Uptime: 95%
Operators: 2
Customer
Processing Time
4.2 hrs
Lead Time
11.4 days
Value-Added %
1.5%
Total WIP
3,200 pcs

Data collection rules

3

Identifying Constraints

The current-state map is data. The next step is diagnosis: where does flow break? Where is the constraint? Not every red indicator on the map is a constraint. The constraint is the step that limits the entire value stream’s throughput.

Bottleneck The process step with the longest cycle time or lowest capacity. Everything upstream waits for it. Everything downstream starves.
Changeover Constraint A process step where changeover time dominates. 28-minute changeovers on a 62-second cycle time mean the machine spends more time changing over than producing on short runs.
Quality Constraint A process step that generates defects requiring rework or scrap. The effective capacity is actual capacity minus rework. High scrap = hidden capacity loss.
WIP Accumulation Large triangles of inventory between steps indicate flow imbalance. Upstream is producing faster than downstream can consume. The WIP is safety stock masking the problem.

The timeline reveals the truth

Processing time: 4.2 hours. Lead time: 11.4 days. Value-added percentage: 1.5%. That means 98.5% of the time, the material is sitting — waiting in a queue, sitting in WIP inventory, or being processed through non-value-added steps. The gap between processing time and lead time is your improvement opportunity. Closing that gap is what the future state targets.

Constraint vs. non-constraint improvement

Improving a non-constraint step does not improve the value stream. If the press is the bottleneck at 62-second cycle time and you kaizen the finishing step from 38 to 30 seconds, the value stream throughput does not change — the press is still the limiting factor. Improving a non-constraint is waste. Focus improvement on the constraint.

4

Future-State Design

The future-state map shows what you want the value stream to look like after improvement. It is not a wish — it is a plan with specific targets, kaizen bursts at specific steps, and a timeline for execution.

Designing the future state

  1. Start with takt time. Customer demand / available production time = takt time. Every process step must be capable of producing at takt. If a step’s cycle time exceeds takt, you need to either reduce the cycle time or add capacity.
  2. Identify kaizen bursts. At each step where the current state does not meet the future-state requirement, place a kaizen burst. The burst specifies: what needs to change, what the target is, and what type of improvement (SMED, TPM, cell redesign, quality improvement).
  3. Design flow. Eliminate WIP between steps where possible. Pull systems instead of push. FIFO lanes instead of batched queues. The future state should show less WIP, shorter lead time, and higher flow efficiency.
  4. Plan the information flow. How will scheduling change? Can you move from MRP push to pull signals? Can you reduce the number of scheduling points? Simpler information flow enables simpler material flow.

Kaizen bursts are not vague

A kaizen burst that says “improve changeover” is useless. A kaizen burst that says “reduce Press 4 changeover from 28 min to 12 min using SMED methodology, estimated annual savings $84K (time reduction method)” is a plan. Each burst should specify:

In Svend: The VSM builder supports current-state and future-state maps with data boxes (cycle time, changeover, uptime, OEE, operators) at each process step. Kaizen bursts attach to specific steps with proposals that include improvement type, target metrics, and estimated savings. The delta estimation engine auto-detects the best savings method and generates estimated annual savings.
5

Simulation Before Commitment

Before committing resources to a future-state improvement project, test the assumptions. Point estimates of savings are seductive but misleading. “$84K annual savings” sounds precise. But it assumes stable volume, constant cost, and 100% improvement realization. None of these are certain.

Monte Carlo simulation

Run 1,000 simulations with three sources of uncertainty:

What simulation tells you

Use simulation to prioritize the kaizen burst portfolio. When you have five bursts on the future-state map and resources for three, simulation tells you which three have the highest expected value adjusted for risk.

In Svend: The plant simulator runs Monte Carlo with 1,000 iterations. Output includes median, mean, standard deviation, P5/P25/P75/P95 confidence bands, and probability of positive savings. Each VSM kaizen burst proposal can be simulated individually before promotion to hoshin. The deterministic estimate and the risk-adjusted confidence interval are both available for comparison.
6

Connecting VSM to Hoshin

VSM is the diagnostic. Hoshin kanri is the execution structure. The connection between them is the kaizen burst promotion pipeline.

VSM Current State Map & measure
Identify constraints
Kaizen Burst Target the constraint
Estimate savings
Simulation Risk-adjust estimate
Confidence bands
Hoshin Project Monthly tracking
Dollar rollup
Realized Savings Write back to VSM
Closed-loop

The promotion criteria

Not every kaizen burst belongs on the X-matrix. Promote when:

Bursts that do not meet these criteria execute through MDI as local improvements. Important, but not hoshin-level.

Closed-loop tracking

The lifecycle is not complete until realized savings write back to the VSM. When a hoshin project executes and generates monthly savings, those savings update the kaizen burst on the map. The VSM becomes a living document: constraint identified → project executed → savings realized → map updated → next constraint identified. Without the write-back, the VSM is a one-time artifact. With the write-back, it is a management tool.

Future-state promotion

When all kaizen bursts on a future-state map are completed and verified, the future state becomes the new current state. The old current state is archived. Metric snapshots carry forward. The cycle restarts with a new current-state map that reflects the improved process. This is continuous improvement at the value stream level.

In Svend: VSM kaizen burst proposals promote directly to hoshin projects via batch creation in a single atomic transaction. Calculation methods and savings targets pre-populate from the burst proposal. As hoshin projects generate monthly savings, realized savings write back to the kaizen burst metadata with savings percentage and project status. Future-state maps promote to current state with the old current state archived automatically.
7

VSM in the Campaign Cycle

In the Campaign Framework, VSM serves as the diagnostic that informs both the Shape and Execute phases. It tells you where to shape (which areas need 5S and visual management preparation) and where to execute (which constraints to target with kaizen).

VSM and shaping

The areas identified as constraints on the VSM are the areas that need shaping first. If the press is the bottleneck, the press area gets 5S attention before the SMED event starts. Shadow boards fabricated. Tool locations standardized. Changeover procedures documented. The shaping enables the execution.

VSM and execution

The kaizen bursts on the future-state map define the execution portfolio. Each burst is a PDSA experiment — try the improvement, measure the result, study what happened, decide whether to standardize or iterate. The VSM provides the context: why this improvement, at this step, with this target.

VSM and consolidation

After kaizen execution, the VSM provides the verification framework. Did the constraint move? Did lead time decrease? Did the WIP reduction hold? Remap the value stream (or update the map with actual post-improvement data) to verify that the future state was achieved. If it was not, understand why and iterate.

When to remap

Related Playbooks

Diagnose, Then Execute

VSM builder with simulation, kaizen burst targeting, hoshin promotion pipeline, realized savings write-back. Team plan: $99/seat/mo.

Frequently Asked Questions

What is value stream mapping?
A diagnostic tool that visualizes material and information flow through a production process. Each step is mapped with data: cycle time, changeover, uptime, WIP, operators. The map reveals where flow breaks, where constraints exist, and where improvement will have the most impact. Walk the process — do not map from a conference room.
What is the difference between current state and future state?
Current state shows what actually happens today, measured and recorded. Future state shows the target condition after improvement, with kaizen bursts marking where changes will occur. The gap between the two defines the improvement portfolio. Future state is not a wish — it is a plan with specific targets, owners, and timelines.
How does VSM connect to hoshin kanri?
VSM is the diagnostic that feeds hoshin. Kaizen bursts on the future-state map become hoshin projects when they align to strategic objectives and exceed the savings threshold. Calculation methods and targets pre-populate from the burst proposal. Realized savings write back to the VSM for closed-loop tracking.
Why simulate before committing resources?
Point estimates create false precision. Monte Carlo simulation models uncertainty in volume, cost, and improvement realization to produce confidence intervals. A project with 92% probability of positive return is a different decision than one with 55%. Simulation prevents over-commitment to uncertain outcomes and helps prioritize the improvement portfolio.
How long does value stream mapping take?
Current-state mapping: 1-2 days of walking the process and collecting data. Future-state design: 1 day with the team. Total: 2-3 days for a focused value stream. Do not over-analyze — map enough to identify constraints, then act. The map is a diagnostic tool, not a six-week analysis project.