This curriculum spans the full lifecycle of Lean Six Sigma deployment, equivalent in scope to a multi-workshop operational improvement program, covering technical tools, cross-functional collaboration, and organizational scaling seen in enterprise-wide process transformation initiatives.
Module 1: Foundations of Lean and Six Sigma Integration
- Selecting between DMAIC and DMADV based on process maturity and defect history in existing operations.
- Mapping stakeholder influence and resistance during the initiation phase of a Lean Six Sigma deployment.
- Aligning Lean Six Sigma objectives with enterprise KPIs such as OEE, cycle time, and cost of poor quality.
- Establishing cross-functional project charters that define scope, boundaries, and escalation paths.
- Deciding on the appropriate level of data rigor required for baseline performance measurement.
- Integrating Lean Six Sigma governance with existing operational review cadences and executive reporting.
Module 2: Value Stream Analysis and Process Mapping
- Conducting current-state value stream mapping with shop floor personnel to capture actual workflow delays.
- Identifying non-value-added steps in transactional processes where waste is less visible than in manufacturing.
- Resolving discrepancies between documented SOPs and actual process execution during walkthroughs.
- Determining the appropriate level of process decomposition for analysis without creating analysis paralysis.
- Using time observation studies to quantify wait times, handoffs, and rework loops in service operations.
- Validating process map accuracy with frontline staff to ensure buy-in and data fidelity.
Module 3: Data Collection and Measurement System Analysis
- Designing operational definitions for defect classification to ensure consistency across teams.
- Conducting Gage R&R studies for attribute data in subjective evaluation processes such as quality audits.
- Selecting sampling frequency and size based on process stability and data collection constraints.
- Integrating manual data collection protocols with existing ERP or MES systems for real-time tracking.
- Addressing missing or inconsistent historical data when establishing process baselines.
- Training process owners to maintain data integrity after project team disbandment.
Module 4: Root Cause Analysis and Problem Solving
- Choosing between Fishbone diagrams, 5 Whys, and Pareto analysis based on problem complexity and data availability.
- Facilitating cross-functional root cause sessions where departments have conflicting interpretations of causality.
- Validating root causes through controlled pilot tests before full-scale implementation.
- Managing scope creep when multiple root causes are identified across interdependent processes.
- Documenting assumptions and evidence for each causal link to support audit and replication needs.
- Escalating systemic issues to leadership when root causes involve policy or resource constraints.
Module 5: Lean Tools for Flow and Waste Reduction
- Implementing 5S in mixed-use environments where space is shared across multiple teams or functions.
- Designing Kanban systems for low-volume, high-variability processes without disrupting delivery schedules.
- Balancing takt time with variable demand in hybrid make-to-order and make-to-stock environments.
- Redesigning workstation layouts to reduce motion waste while maintaining ergonomic compliance.
- Applying SMED techniques to reduce changeover times in regulated environments with validation requirements.
- Monitoring pull system performance to prevent stockouts or overproduction during demand shifts.
Module 6: Statistical Process Control and Variation Management
- Selecting appropriate control charts (e.g., I-MR, p-chart, u-chart) based on data type and subgroup size.
- Interpreting control chart signals without overreacting to common cause variation.
- Establishing rational subgroups in processes with batch or shift-based operations.
- Integrating SPC dashboards into daily management meetings for operational accountability.
- Updating control limits after process improvements to reflect new performance baselines.
- Training process operators to respond to out-of-control conditions using predefined reaction plans.
Module 7: Sustaining Improvements and Change Management
- Developing process ownership handover plans that include training, documentation, and accountability.
- Designing audit schedules and checklists to verify adherence to revised work instructions.
- Embedding performance metrics into routine operational reviews to maintain focus post-project.
- Addressing regression by identifying early warning signs of process drift through leading indicators.
- Managing resistance from supervisors accustomed to informal workarounds or exceptions.
- Updating HR performance goals to align with sustained process performance expectations.
Module 8: Scaling Lean Six Sigma Across the Enterprise
- Prioritizing projects using portfolio management tools to balance quick wins with strategic impact.
- Defining roles and responsibilities for Black Belts, Green Belts, and process owners in a matrix organization.
- Standardizing project reporting formats to enable comparison and aggregation across business units.
- Integrating Lean Six Sigma project pipelines with enterprise risk and compliance frameworks.
- Assessing cultural readiness before expanding deployment to new departments or regions.
- Adjusting training curricula based on functional area needs (e.g., finance vs. operations vs. IT).
