Description

This curriculum spans the equivalent depth and breadth of a multi-workshop operational improvement program, covering diagnostic, design, and sustainment activities comparable to those conducted during enterprise-wide lean transformations.

Module 1: Value Stream Mapping and Process Diagnostics

Conduct time-sequence analysis of material and information flows to isolate non-value-added delays in production handoffs.
Select appropriate scope boundaries for value stream mapping to avoid overgeneralization while maintaining actionable insight.
Validate observed process times against actual production logs to correct operator-reported inaccuracies.
Determine whether to map current state at batch or continuous flow intervals based on equipment changeover constraints.
Integrate customer demand takt time into process cycle calculations to expose overproduction risks.
Decide when to escalate discrepancies between documented SOPs and observed work practices to operational leadership.

Module 2: Identifying and Classifying Waste in Operational Contexts

Differentiate between necessary non-value-added tasks (e.g., mandatory compliance inspections) and pure waste (e.g., redundant approvals).
Quantify motion waste in warehouse operations by analyzing forklift travel paths and idle time between pick assignments.
Assess overprocessing in quality control by auditing rework rates tied to excessive inspection criteria.
Map inventory holding costs across storage locations to justify reduction targets in overstocking waste.
Use downtime logs to attribute waiting waste to machine breakdowns versus material shortages.
Challenge assumptions that certain roles or departments are inherently value-adding without empirical throughput validation.

Module 3: Standard Work Design and Execution Stability

Document standard work instructions with cycle time tolerances to prevent drift in manual assembly tasks.
Balance work content across stations using time studies while accounting for skill variation among operators.
Implement visual work controls only after confirming their readability under actual lighting and noise conditions.
Revise standard work documents in response to equipment upgrades without delaying production schedules.
Enforce adherence to standard work during peak demand periods when shortcuts are commonly introduced.
Define ownership for maintaining standard work accuracy across shifts and departments to prevent version drift.

Module 4: Pull Systems and Flow Optimization

Determine kanban sizing based on actual consumption variance, not theoretical average demand.
Design supermarket locations to minimize transport waste while avoiding space conflicts with maintenance access.
Transition from push to pull scheduling in mixed-model production by piloting on low-volume SKUs first.
Adjust reorder points dynamically when supplier lead times fluctuate beyond control limits.
Resolve conflicts between pull system discipline and expedited customer orders through escalation protocols.
Monitor kanban card circulation to detect hoarding behavior or unauthorized duplication by work cells.

Module 5: Root Cause Analysis and Problem-Solving Discipline

Select between 5 Whys and fishbone diagrams based on problem complexity and data availability.
Verify root cause hypotheses with controlled experiments rather than consensus agreement in team meetings.
Escalate unresolved chronic issues to cross-functional teams when countermeasures fail at the process level.
Document corrective actions in a centralized system to prevent redundant problem-solving across departments.
Enforce time-bound containment actions while long-term solutions are under development.
Challenge root cause conclusions that attribute failures solely to human error without examining system design flaws.

Module 6: Performance Metrics and Continuous Monitoring

Align OEE calculations with actual operational definitions of availability, performance, and quality.
Exclude planned downtime from OEE but track it separately to assess maintenance scheduling effectiveness.
Design real-time dashboards that highlight waste indicators without overwhelming operators with data.
Validate scrap rate metrics against material reconciliation data to detect underreporting.
Balance leading indicators (e.g., adherence to standard work) with lagging outcomes (e.g., delivery performance).
Prevent metric gaming by auditing data sources and requiring operator sign-off on daily reports.

Module 7: Change Management and Sustaining Lean Behaviors

Identify informal team leaders to champion lean practices when formal supervisors resist process changes.
Schedule gemba walks at varied times to observe actual conditions, not prepped or staged workflows.
Modify incentive structures to reward waste reduction, not just output volume.
Reinforce accountability by linking area managers’ performance reviews to sustained 5S audit scores.
Rotate kaizen team membership to prevent burnout and spread capability across shifts.
Revise training materials quarterly based on observed gaps in lean practice application.

Module 8: Integrating Lean with Complementary Systems

Align lean initiatives with ERP system capabilities to avoid manual workarounds in material tracking.
Coordinate TPM activities with production scheduling to minimize disruption during autonomous maintenance.
Map lean process changes to ISO 9001 documentation requirements without creating redundant paperwork.
Integrate lean waste metrics into Six Sigma project selection criteria for resource prioritization.
Adapt lean tools for project-based operations where workflow is non-repetitive and task-dependent.
Resolve conflicts between lean inventory targets and financial reporting requirements for asset valuation.