What does the Process Redesign in Lean Management, Six Sigma, Continuous course cover?
Process Redesign in Lean Management, Six Sigma, Continuous is covered here in 8 modules: Defining Process Scope and Stakeholder Alignment, Data Collection and Process Measurement, Root Cause Analysis and Problem Prioritization and 5 more. The outline lists 48 specific topics, opening with selecting end-to-end process boundaries that balance depth of analysis with organizational feasibility, avoiding oversimplification or excessive complexity.
How do you approach Process Redesign in Lean Management, Six Sigma, Continuous step by step?
The work is sequenced in 8 stages. It starts with Defining Process Scope and Stakeholder Alignment, moves through Data Collection and Process Measurement and Root Cause Analysis and Problem Prioritization, and ends at Integrating Lean, Six Sigma, and CI Methodologies. Each stage carries its own topic list, so the sequence is followed rather than summarised.
What is in Module 1 of the Process Redesign in Lean Management, Six Sigma, Continuous course?
Module 1 is Defining Process Scope and Stakeholder Alignment. It works through selecting end-to-end process boundaries that balance depth of analysis with organizational feasibility, avoiding oversimplification or excessive complexity., mapping process ownership across functional silos when no single role has full accountability for end-to-end performance., identifying and prioritizing stakeholder requirements when conflicting demands exist between operations, compliance, and customer experience teams.
How is the Process Redesign in Lean Management, Six Sigma, Continuous course delivered?
The Process Redesign in Lean Management, Six Sigma, Continuous course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.
How much does the Process Redesign in Lean Management, Six Sigma, Continuous course cost?
The Process Redesign in Lean Management, Six Sigma, Continuous course is $251 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.
Closely related courses: Six Sigma, Six Sigma Toolkit, Lean Management, Six Sigma, Continuous improvement, Master Six Sigma Toolkit.
More answers: what you get with every course, refund policy, all help answers.
This curriculum spans the full lifecycle of process redesign, comparable in scope to a multi-workshop operational improvement program, addressing the technical, organizational, and methodological challenges faced when aligning Lean, Six Sigma, and continuous improvement practices with real-world constraints in measurement, change management, and cross-functional accountability.
Module 1: Defining Process Scope and Stakeholder Alignment
- Selecting end-to-end process boundaries that balance depth of analysis with organizational feasibility, avoiding oversimplification or excessive complexity.
- Mapping process ownership across functional silos when no single role has full accountability for end-to-end performance.
- Identifying and prioritizing stakeholder requirements when conflicting demands exist between operations, compliance, and customer experience teams.
- Deciding whether to include supplier and customer touchpoints in the process map based on data availability and change control limitations.
- Documenting as-is process variations across regions or business units when standardization is a strategic goal but local adaptations are entrenched.
- Establishing baseline performance metrics that are measurable, consistently defined, and accepted by all process stakeholders to prevent disputes during improvement phases.
Module 2: Data Collection and Process Measurement
- Designing data collection protocols that minimize operator burden while ensuring sample size and frequency support statistical validity.
- Selecting between manual time studies and system-logged timestamps when digital process data is incomplete or inaccessible.
- Handling missing or outlier data points in cycle time analysis without introducing bias or masking systemic delays.
- Defining what constitutes a defect or error in subjective processes such as approvals or customer service interactions.
- Calibrating measurement systems across multiple shifts or sites to ensure consistency in defect detection and reporting.
- Deciding whether to normalize performance data for volume, complexity, or seasonality when comparing process performance across units.
Module 3: Root Cause Analysis and Problem Prioritization
- Choosing between 5 Whys, Fishbone diagrams, and Pareto analysis based on problem complexity and data availability.
- Validating suspected root causes through controlled observation or pilot data rather than relying solely on team consensus.
- Addressing political resistance when root cause analysis implicates high-influence departments or legacy systems.
- Prioritizing improvement efforts using impact-effort matrices when resources are constrained and multiple bottlenecks exist.
- Distinguishing between special cause and common cause variation before initiating redesign to avoid misdirected interventions.
- Documenting assumptions and evidence for each root cause to support auditability and sustainment of future changes.
Module 4: Designing Future-State Processes
- Reconfiguring workflow sequences to eliminate non-value-added handoffs while maintaining necessary control points for risk management.
- Deciding whether to automate a process step or redesign it manually based on frequency, error rate, and system integration costs.
- Integrating error-proofing (poka-yoke) mechanisms into redesigned workflows without increasing process cycle time.
- Specifying role responsibilities in RACI format when cross-functional collaboration increases in the future state.
- Designing escalation paths and exception handling procedures that prevent bottlenecks during process transition periods.
- Aligning future-state design with existing ERP or workflow system capabilities to avoid requiring custom development.
Module 5: Change Management and Implementation Planning
- Sequencing rollout across departments or sites to balance learning curve effects with organizational disruption.
- Developing training materials that reflect actual process steps and system interfaces, not idealized workflows.
- Coordinating IT, operations, and compliance teams when process changes require system configuration or access rights updates.
- Establishing temporary dual-running periods to validate new process performance before decommissioning legacy methods.
- Managing resistance from employees whose roles are reduced or redefined due to automation or consolidation.
- Creating communication plans that address specific concerns of supervisors, frontline staff, and customers during transition.
Module 6: Performance Monitoring and Control Systems
- Selecting leading and lagging KPIs that reflect both efficiency gains and quality sustainability post-redesign.
- Configuring dashboards to highlight out-of-control conditions without overwhelming users with excessive metrics.
- Setting control limits based on historical performance and revised process capability after improvements.
- Assigning ownership for routine KPI review and escalation when thresholds are breached.
- Integrating process performance data into regular operational review meetings to maintain accountability.
- Updating standard operating procedures and work instructions in sync with actual process execution to prevent drift.
Module 7: Sustaining Improvements and Scaling Success
- Conducting periodic process audits to detect and correct deviations from the redesigned workflow.
- Embedding process ownership into performance goals of functional managers to ensure long-term accountability.
- Revising incentive structures to reward adherence to standardized processes rather than individual throughput.
- Documenting lessons learned and reusable templates for application in subsequent process improvement projects.
- Assessing scalability of a redesigned process before replication across divisions with different operating models.
- Refreshing process metrics and targets as business conditions, technology, or customer expectations evolve.
Module 8: Integrating Lean, Six Sigma, and CI Methodologies
- Choosing between Lean flow optimization and Six Sigma variation reduction based on the dominant process constraint.
- Sequencing Kaizen events and DMAIC projects when both waste reduction and defect reduction are needed.
- Aligning continuous improvement team charters with enterprise strategic objectives to secure ongoing sponsorship.
- Standardizing project selection and tollgate review processes across different methodology frameworks.
- Training Black Belts and Lean facilitators to apply tools contextually rather than following rigid methodology templates.
- Consolidating improvement backlogs from multiple methodologies into a single prioritization and resourcing process.