This curriculum spans the full lifecycle of Lean and Six Sigma deployment, comparable to a multi-phase organisational transformation program, from strategic alignment and project scoping to sustaining changes and scaling capabilities across functions.
Module 1: Defining Strategic Alignment and Organizational Readiness
- Selecting appropriate Lean or Six Sigma deployment models (top-down vs. grassroots) based on executive sponsorship and middle management resistance levels.
- Conducting value stream prioritization exercises to align improvement initiatives with financial and operational strategic goals.
- Assessing cultural readiness by evaluating historical change fatigue and previous continuous improvement (CI) initiative outcomes.
- Determining resource allocation trade-offs between maintaining BAU operations and funding CI project teams.
- Establishing governance thresholds for project selection, including minimum ROI and cycle time reduction targets.
- Integrating Lean Six Sigma goals into performance management systems to influence accountability and behavior.
Module 2: Leadership Engagement and Change Management Execution
- Designing executive gemba walk protocols that ensure consistent leadership visibility without disrupting daily operations.
- Developing escalation paths for removing roadblocks when functional managers withhold resources from CI teams.
- Creating standardized communication templates for leaders to cascade project outcomes across departments.
- Managing resistance from supervisors who perceive process standardization as a threat to autonomy.
- Implementing leadership accountability metrics tied to CI milestone achievement and team support.
- Coordinating cross-functional leadership alignment sessions to resolve conflicting departmental priorities.
Module 3: Project Selection and Charter Development
- Applying SIPOC analysis to scope projects that avoid overreach while maintaining measurable impact.
- Using Pareto analysis on defect and delay data to justify project focus on high-impact processes.
- Negotiating charter scope with process owners to prevent mission creep during DMAIC execution.
- Defining primary and secondary metrics that balance customer impact with operational feasibility.
- Setting realistic baseline performance targets using historical process data and capability studies.
- Documenting assumptions and constraints in project charters to manage stakeholder expectations.
Module 4: Data Collection and Process Measurement Systems
- Designing operational definitions for metrics to ensure consistent data collection across shifts and locations.
- Conducting measurement system analysis (MSA) for both discrete and continuous data before baseline analysis.
- Integrating manual data collection protocols with existing ERP or MES systems to reduce entry errors.
- Addressing employee concerns about performance monitoring during time study and observation phases.
- Validating sampling plans for process data to balance statistical rigor with operational disruption.
- Establishing data ownership and access protocols to maintain integrity across departments.
Module 5: Root Cause Analysis and Solution Design
- Facilitating cross-functional 5-Why sessions to avoid blame-based analysis and focus on systemic causes.
- Selecting between Fishbone diagrams, FMEA, and regression analysis based on data availability and problem complexity.
- Prototyping countermeasures using rapid PDCA cycles before full-scale implementation.
- Evaluating technical feasibility of proposed solutions against maintenance and IT system constraints.
- Conducting risk assessment on solution alternatives using failure mode and effects analysis (FMEA).
- Documenting design rationale to support future audits and knowledge transfer.
Module 6: Implementation Planning and Sustaining Gains
- Developing phased rollout plans that include pilot testing, training, and handover to process owners.
- Integrating updated work instructions into existing training and onboarding programs.
- Designing visual management systems (e.g., Andon, dashboards) to enable real-time performance monitoring.
- Establishing control plans with defined response protocols for out-of-control process indicators.
- Conducting post-implementation audits to verify adherence to new standards and identify drift.
- Transitioning project ownership from CI teams to operational managers with documented handover criteria.
Module 7: Performance Monitoring and CI Ecosystem Scaling
- Configuring balanced scorecards that link process-level metrics to enterprise KPIs.
- Creating standardized tollgate review processes to evaluate project completion and impact.
- Managing the backlog of improvement opportunities using a prioritized CI portfolio dashboard.
- Scaling CI beyond individual projects by establishing Kaizen event calendars and rapid improvement teams.
- Updating CI methodology documentation to reflect lessons learned and industry best practices.
- Conducting periodic maturity assessments to identify capability gaps in people, process, and tools.