This curriculum spans the equivalent of a multi-workshop operational excellence program, integrating automation into Lean and Six Sigma workflows with the rigor of an internal capability build focused on process stability, governance, and scalable deployment.
Module 1: Foundations of Automation in Continuous Improvement
- Selecting automation candidates by quantifying process stability using control charts before deployment
- Integrating DMAIC phase gates with automation feasibility assessments to prevent premature tooling investment
- Defining measurable KPIs for automated processes that align with Lean waste categories and Six Sigma sigma levels
- Mapping manual process steps to identify automation breakpoints without disrupting value stream flow
- Establishing cross-functional review boards to evaluate automation proposals against improvement methodology standards
- Documenting baseline performance metrics using time studies and process observation prior to automation
Module 2: Process Analysis and Automation Readiness Assessment
- Conducting spaghetti diagrams to quantify physical movement reduction potential post-automation
- Applying value-added vs. non-value-added analysis to prioritize automation of high-frequency, low-complexity tasks
- Using process capability indices (Cp/Cpk) to determine if a process is stable enough for automation
- Assessing data quality and availability for automated decision logic in existing workflows
- Performing failure mode and effects analysis (FMEA) on proposed automation points to preempt system failures
- Calculating takt time alignment between automated systems and downstream manual operations
Module 3: Design and Selection of Automation Tools
- Evaluating robotic process automation (RPA) versus custom scripting based on process variability and exception handling needs
- Selecting low-code platforms based on integration requirements with ERP and MES systems
- Designing user exception handling workflows to manage automated process failures without halting operations
- Specifying data input validation rules to prevent garbage-in, garbage-out scenarios in automated logic
- Choosing between centralized and decentralized automation architectures based on process ownership and IT governance
- Defining rollback procedures for automated workflows during deployment and post-implementation
Module 4: Integration with Lean and Six Sigma Frameworks
- Embedding automated data collection into control plans for sustained Six Sigma project outcomes
- Using automated dashboards to monitor 5S compliance through image recognition and audit frequency tracking
- Configuring real-time alerts for out-of-control conditions in statistical process control (SPC) charts
- Automating root cause analysis triggers when defect rates exceed predefined thresholds
- Linking Kanban systems to automated replenishment logic based on consumption rate algorithms
- Validating automated process changes through designed experiments (DOE) before full rollout
Module 5: Change Management and Human Workflow Integration
- Redesigning job roles to incorporate monitoring and exception management of automated systems
- Conducting workflow simulations to test human-automation handoffs under peak load conditions
- Developing standardized work instructions for manual intervention in automated processes
- Implementing tiered escalation protocols for unresolved automation exceptions
- Training process owners to interpret automated performance reports and initiate corrective actions
- Managing resistance by involving frontline staff in automation design and pilot testing
Module 6: Data Governance and Performance Monitoring
- Establishing data lineage tracking for automated reports used in management reviews
- Implementing version control for automation scripts to ensure auditability and reproducibility
- Defining data retention policies for logs generated by automated workflows
- Validating automated KPI calculations against manual samples during initial operation
- Securing access to automation tools based on role-based permissions aligned with process ownership
- Monitoring system uptime and processing accuracy to detect degradation in automation performance
Module 7: Sustaining and Scaling Automation Initiatives
- Creating a centralized automation repository to catalog deployed solutions and lessons learned
- Conducting periodic reviews of automated processes to identify obsolescence or misalignment
- Standardizing naming conventions and logging formats across automation projects for consistency
- Developing a prioritization matrix for automation opportunities based on ROI and strategic fit
- Implementing automated regression testing when upstream system changes affect workflows
- Scaling successful pilots by templating automation logic for similar processes across business units
Module 8: Risk Management and Compliance in Automated Systems
- Documenting automated decision logic for regulatory audits in highly controlled environments
- Implementing dual controls for automated financial or safety-critical transactions
- Conducting cybersecurity assessments on automation tools that access sensitive data
- Ensuring automated recordkeeping meets data integrity requirements (e.g., ALCOA+ principles)
- Testing disaster recovery procedures for automation servers and dependent applications
- Reviewing third-party automation vendors for compliance with organizational IT policies
