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SCP expertise / Tools and techniques

Quality and Continuous Improvement

Select the right improvement technique for the operating problem.

Methods selected around the decision

Our six-stage approach links Define, Understand, Diagnose, Design, Test, prove and embed, and Sustain and improve. Techniques can support more than one stage; the groupings below show a useful starting point.

Total Quality Management provides an organisation-wide view of quality. Lean examines value and flow; Six Sigma brings structured analysis of process performance and variation; Kaizen supports continuing improvement. Just in Time is a flow principle, while Kanban provides replenishment signals within a pull system.

These are established methods, combined here into a proposed SCP approach. The depth of analysis, specialist inputs and delivery scope are agreed around each client engagement.

Evidence before conclusions

  • Fishbone and Ishikawa are names for the same cause-and-effect tool. Its branches are hypotheses to investigate.
  • Use statistical methods with suitable measurements and assumptions. Correlation alone does not prove a cause.
  • Choose JIT, buffers and Kanban rules around replenishment reliability and service risk.
  • Agree acceptance criteria early. Record test outcomes and outstanding issues before making a release decision.
  • Measure the whole-system effect, including implementation and recurring costs, and review benefits with finance.
Research sources and further reading

Method references are linked in each entry. The application examples, groupings and service connections are SCP proposals, rather than endorsements by the source organisations.

Sources reviewed 17 October 2026. This page introduces methods; it does not claim SCP accreditation or replace a client's specialist quality or assurance requirements.

Techniques in this guide

Open a technique for when to use it, its output and related service links.

Diagnose

Stratification and Pareto analysis

Which lanes, products or failure types account for the problem?

Explore this technique

What it produces

Prioritised analysis.

Supply-chain example

Split failures by lane, product, site or reason to choose where to investigate first.

Related services

Method reference for Stratification and Pareto analysis (opens in a new tab) ↗
Understand

Histograms and distribution analysis

How variable are lead times or losses?

Explore this technique

What it produces

Distribution and tail view.

Supply-chain example

Examine long-tail transit times rather than relying on the average alone.

Related services

Method reference for Histograms and distribution analysis (opens in a new tab) ↗
Sustain

Run charts and statistical control charts

Is performance changing, stable or showing unusual variation?

Explore this technique

What it produces

Time-based signals.

Supply-chain example

Monitor delivery or exception-resolution time and investigate unusual signals.

Related services

Method reference for Run charts and statistical control charts (opens in a new tab) ↗
Diagnose

Fishbone / Ishikawa / cause-and-effect diagram

What possible causes should we investigate?

Explore this technique

What it produces

Hypothesis map.

Supply-chain example

Organise possible causes of late orders, then test the important branches.

Related services

Method reference for Fishbone / Ishikawa / cause-and-effect diagram (opens in a new tab) ↗
Diagnose

Five Whys

What evidence-supported chain explains an incident?

Explore this technique

What it produces

Cause/action record.

Supply-chain example

Follow the evidence behind a recurring shortage rather than stopping at a symptom.

Related services

Method reference for Five Whys (opens in a new tab) ↗
Diagnose

Scatter plots, correlation and regression

Which factors merit further investigation?

Explore this technique

What it produces

Relationship model.

Supply-chain example

Explore associations between delays, workload and shipment characteristics.

Related services

Method reference for Scatter plots, correlation and regression (opens in a new tab) ↗
Diagnose

Process capability analysis

Can a stable process meet a defined specification?

Explore this technique

What it produces

Capability assessment.

Supply-chain example

Assess whether a stable operation can meet an agreed timing or quality requirement.

Related services

Method reference for Process capability analysis (opens in a new tab) ↗
Diagnose

FMEA / process FMEA

How could the process fail, and where should prevention focus?

Explore this technique

What it produces

Risk/action register.

Supply-chain example

Examine potential supplier, process or automation failures and prevention actions.

Related services

Method reference for FMEA / process FMEA (opens in a new tab) ↗
Diagnose

A3 problem solving

Can a team explain the problem, reasoning, action and follow-up coherently?

Explore this technique

What it produces

Shared improvement record.

Supply-chain example

Keep the problem, evidence, countermeasure and follow-up together in one record.

Related services

Method reference for A3 problem solving (opens in a new tab) ↗
Diagnose

8D problem solving

How should a recurring supplier or customer issue be contained and resolved?

Explore this technique

What it produces

Structured corrective-action record.

Supply-chain example

Coordinate containment and corrective action after a recurring supplier or delivery incident.

Related services

Method reference for 8D problem solving (opens in a new tab) ↗
Design

5S and visual workplace

Do layout, organisation or unclear locations cause errors?

Explore this technique

What it produces

Workplace standards and review.

Supply-chain example

Improve locations, labels and workplace organisation to reduce picking confusion.

Related services

Method reference for 5S and visual workplace (opens in a new tab) ↗
Design

Takt time and work balancing

How does workload compare with the required pace?

Explore this technique

What it produces

Capacity and workload view.

Supply-chain example

Compare demand pace with picking, packing or replenishment workload.

Related services

Method reference for Takt time and work balancing (opens in a new tab) ↗
Design

Pull replenishment and Kanban

What should trigger replenishment, and in what quantity?

Explore this technique

What it produces

Explicit signal and replenishment rules.

Supply-chain example

Trial a clear replenishment signal with agreed quantities and service safeguards.

Related services

Method reference for Pull replenishment and Kanban (opens in a new tab) ↗
Design

Heijunka / production levelling

Can sequencing reduce uneven workload?

Explore this technique

What it produces

Feasible levelled schedule.

Supply-chain example

Assess whether a more even production mix can reduce workload peaks.

Related services

Method reference for Heijunka / production levelling (opens in a new tab) ↗
Design

SMED / changeover analysis

Which setup tasks can be shortened or performed outside the stoppage?

Explore this technique

What it produces

Changeover plan.

Supply-chain example

Separate setup tasks that require a stoppage from those that can be prepared beforehand.

Related services

Method reference for SMED / changeover analysis (opens in a new tab) ↗
Sustain

Standardised work and SOPs

How should teams execute and improve the agreed method?

Explore this technique

What it produces

Work standard and training.

Supply-chain example

Document and train an agreed picking or exception-response method.

Related services

Method reference for Standardised work and SOPs (opens in a new tab) ↗
Design

Poka-yoke / mistake proofing

Can an error be prevented or immediately detected?

Explore this technique

What it produces

Tested prevention control.

Supply-chain example

Test controls that prevent wrong-item selection or make it immediately visible.

Related services

Method reference for Poka-yoke / mistake proofing (opens in a new tab) ↗
Design

Jidoka and abnormality escalation

When should a process stop or seek an authorised decision?

Explore this technique

What it produces

Escalation and response rules.

Supply-chain example

Define when an abnormal event should stop a process or trigger authorised action.

Related services

Method reference for Jidoka and abnormality escalation (opens in a new tab) ↗
Diagnose

Total Productive Maintenance and equipment-loss analysis

Are equipment losses disrupting flow?

Explore this technique

What it produces

Loss analysis and maintenance priorities.

Supply-chain example

Analyse equipment losses that disrupt warehouse flow or dispatch.

Related services

Method reference for Total Productive Maintenance and equipment-loss analysis (opens in a new tab) ↗
Design

Inventory and replenishment modelling

Which policies balance availability and stock across locations?

Explore this technique

What it produces

Policy/scenario comparison.

Supply-chain example

Compare stock policies across locations against customer-service requirements.

Related services

Method reference for Inventory and replenishment modelling (opens in a new tab) ↗
Design

Network and route optimisation

Which locations, flows or routes meet constraints?

Explore this technique

What it produces

Modelled options.

Supply-chain example

Compare locations, routes or flows within capacity and service constraints.

Related services

Method reference for Network and route optimisation (opens in a new tab) ↗
Test

PDCA / PDSA pilot and review

Did the change behave as expected?

Explore this technique

What it produces

Documented learning and next decision.

Supply-chain example

Record a prediction, run a bounded trial and review what actually happened.

Related services

Method reference for PDCA / PDSA pilot and review (opens in a new tab) ↗
Sustain

Control plan and ongoing process monitoring

Who checks performance and reacts to deterioration?

Explore this technique

What it produces

Measures, owners and response plan.

Supply-chain example

Assign owners, measures and response rules so improvements persist.

Related services

Method reference for Control plan and ongoing process monitoring (opens in a new tab) ↗

Discuss the decision you need to improve

Explore how these techniques could support your operation, with the scope and depth agreed around your needs.