This curriculum spans the design and implementation of an enterprise-wide continuous improvement function, comparable in scope to a multi-phase organisational transformation program involving readiness assessment, operating model design, project governance, and integration with strategic planning across complex, multi-site environments.
Module 1: Assessing Organizational Readiness for Lean and Six Sigma Integration
- Conducting value stream mapping to identify redundant processes and quantify waste across departments
- Evaluating existing process documentation quality to determine baseline capability for DMAIC execution
- Mapping cross-functional process ownership to resolve accountability gaps in improvement initiatives
- Assessing data infrastructure maturity to determine feasibility of real-time performance tracking
- Identifying union or labor agreements that may constrain workflow redesign or staffing adjustments
- Reviewing past change initiatives to analyze root causes of adoption failure or resistance patterns
- Establishing criteria for pilot process selection based on impact, controllability, and stakeholder influence
Module 2: Designing the Operating Model for Continuous Improvement
- Deciding between centralized Center of Excellence versus embedded CI roles based on organizational scale and complexity
- Defining escalation protocols for resolving cross-departmental process conflicts during improvement projects
- Selecting Black Belt deployment model: dedicated full-time roles versus part-time project leaders
- Integrating improvement roles into performance management systems to align incentives with CI outcomes
- Allocating budget for training, software tools, and project execution while maintaining operational spending caps
- Creating governance committees with defined decision rights for approving project charters and resource allocation
- Establishing communication protocols between CI teams and executive sponsors to maintain strategic alignment
Module 3: Selecting and Scoping High-Impact Improvement Projects
- Applying financial validation criteria to prioritize projects with measurable ROI and payback periods
- Negotiating project scope with process owners to avoid mission creep while maintaining meaningful impact
- Using Pareto analysis to focus on the 20% of processes driving 80% of defects or delays
- Conducting stakeholder impact assessments to anticipate resistance and design mitigation plans
- Defining primary and secondary metrics to avoid optimizing one area at the expense of another
- Validating data availability for baseline performance measurement before project launch
- Aligning project selection with strategic objectives such as cost reduction, compliance, or customer retention
Module 4: Leading Process Redesign with Lean and Six Sigma Tools
- Applying 5S methodology in shared workspaces while managing employee pushback on standardization
- Implementing Kanban systems in supply chain operations with variable demand patterns
- Designing and validating control charts for processes with non-normal data distributions
- Conducting Failure Mode and Effects Analysis (FMEA) for high-risk process changes in regulated environments
- Running pilot tests for process changes using Design of Experiments (DOE) with limited sample sizes
- Integrating poka-yoke (error-proofing) mechanisms in digital workflows without increasing user friction
- Managing changeover times in production environments using SMED techniques with union constraints
Module 5: Data Governance and Performance Measurement Systems
- Defining data ownership and stewardship roles to ensure accuracy in process performance reporting
- Selecting KPIs that reflect process capability without incentivizing gaming or short-term behavior
- Integrating real-time operational data from SCADA or ERP systems into CI dashboards
- Establishing data validation routines to audit measurement system accuracy across shifts and locations
- Resolving conflicts between financial reporting metrics and operational performance indicators
- Setting control limits based on historical performance while accounting for structural process changes
- Managing access permissions for CI data to balance transparency with confidentiality requirements
Module 6: Sustaining Improvements Through Standardization and Control
- Documenting revised processes in SOPs with version control and approval workflows
- Assigning process owners accountability for maintaining control charts and responding to out-of-control signals
- Integrating audit checklists into daily supervision routines to enforce adherence to new standards
- Designing visual management boards that reflect real-time status without becoming outdated
- Implementing automated alerts for metric deviations with defined response protocols
- Conducting layered process audits across management levels to verify compliance
- Updating training materials and onboarding programs to reflect current best practices
Module 7: Scaling Improvement Across Business Units and Geographies
- Adapting standardized methodologies to local regulatory or cultural contexts without diluting core principles
- Coordinating improvement priorities across regions with competing operational demands
- Managing knowledge transfer between sites using structured replication playbooks
- Addressing language and time zone barriers in global project team collaboration
- Aligning local CI metrics with enterprise-wide performance dashboards
- Resolving IT system incompatibilities when deploying common CI software platforms
- Balancing central oversight with local autonomy in problem-solving and decision-making
Module 8: Integrating Continuous Improvement with Strategic Planning and Innovation
- Linking annual strategic planning cycles to CI portfolio reviews for resource alignment
- Assessing whether process optimization efforts conflict with disruptive innovation initiatives
- Allocating resources between incremental improvement and transformational change projects
- Using CI insights to inform capital investment decisions and technology roadmaps
- Integrating customer journey analytics into process design to close feedback loops
- Reconciling short-term cost-saving targets with long-term capability-building investments
- Updating enterprise risk profiles based on process stability improvements and new failure modes
