This curriculum spans the full lifecycle of a multi-workshop lean transformation program, from diagnostic assessment and value stream redesign to sustained process control, mirroring the technical and organizational rigor of enterprise-wide operational improvement initiatives.
Module 1: Diagnostic Assessment of Current Process Flows
- Conduct time-motion studies to quantify touch time versus wait time across each process step in a service delivery workflow.
- Map as-is process flows using standardized BPMN notation, identifying handoffs, decision points, and parallel paths contributing to delays.
- Validate process data with frontline staff to correct discrepancies between documented procedures and actual execution.
- Identify non-value-added activities such as redundant approvals, rework loops, and excessive documentation requirements.
- Calculate process cycle efficiency by comparing total lead time to cumulative value-add time across the workflow.
- Establish baseline performance metrics including throughput, work-in-progress (WIP), and first-pass yield for future comparison.
Module 2: Value Stream Mapping and Waste Identification
- Develop current-state value stream maps that integrate material flow, information flow, and cycle time data across departments.
- Classify waste using the TIMWOODS framework (Transport, Inventory, Motion, Waiting, Overproduction, Overprocessing, Defects, Skills underutilization) in a manufacturing context.
- Engage cross-functional teams in structured walk-throughs to validate waste classifications and root causes.
- Quantify financial impact of each waste category by estimating labor, inventory carrying costs, and defect-related rework.
- Differentiate between necessary non-value-added steps (e.g., regulatory compliance) and pure waste to prioritize elimination efforts.
- Define future-state value stream maps with reduced handoffs, batch sizes, and inventory buffers based on takt time alignment.
Module 3: Bottleneck Analysis and Constraint Management
- Apply Little’s Law to diagnose whether high WIP or long cycle times are driven by throughput limitations at specific workstations.
- Use capacity utilization analysis to identify resources operating at or beyond 85% utilization as potential bottlenecks.
- Implement drum-buffer-rope scheduling in a discrete production environment to regulate workflow into constrained resources.
- Assess whether to exploit (optimize use) or elevate (add capacity) a bottleneck based on capital cost and operational flexibility.
- Monitor bottleneck migration after process changes to prevent shifting constraints to previously non-critical steps.
- Integrate real-time production monitoring data into bottleneck detection dashboards using OEE and downtime tracking.
Module 4: Standard Work Design and Process Stabilization
- Document standardized work instructions with cycle times, quality checkpoints, and visual controls for repetitive tasks.
- Balance workstation tasks to match takt time, redistributing work content to eliminate idle time and overburden.
- Implement mistake-proofing (poka-yoke) devices such as fixture interlocks or barcode validation in assembly processes.
- Establish and audit 5S workplace organization to reduce motion waste and improve changeover consistency.
- Train team leaders to conduct daily standardized work audits and document deviations for corrective action.
- Freeze process parameters during stabilization phases to prevent uncontrolled variation while measuring improvement impact.
Module 5: Pull Systems and Flow Optimization
- Convert batch-and-queue workflows to continuous flow cells by rearranging equipment and cross-training operators.
- Design kanban systems with calculated card quantities based on demand variability and replenishment lead time.
- Implement supermarket pull systems between departments with variable processing rates to decouple operations.
- Negotiate supplier lead time reductions to enable smaller, more frequent material deliveries supporting pull logistics.
- Adjust kanban bin sizes quarterly based on updated consumption data and demand forecasts.
- Monitor and reduce changeover times using SMED techniques to enable economical small-lot production.
Module 6: Performance Measurement and Continuous Monitoring
- Deploy real-time Andon systems to signal process deviations and initiate immediate containment actions.
- Define and track leading indicators such as schedule adherence and first-time quality alongside lagging cycle time metrics.
- Integrate process cycle time data into balanced scorecards accessible to operations management and plant leadership.
- Conduct weekly performance reviews using run charts to detect trends, shifts, or special cause variation.
- Align departmental KPIs to prevent local optimization that increases system-wide cycle time (e.g., maximizing machine utilization).
- Automate data collection through MES or ERP systems to reduce manual reporting lag and improve metric accuracy.
Module 7: Change Management and Sustaining Improvements
- Develop process owner accountability matrices to assign responsibility for maintaining standardized work and metrics.
- Implement tiered operational meetings with escalating issue resolution paths for sustained problem-solving engagement.
- Conduct gemba walks with supervisors to observe process adherence and identify emerging inefficiencies.
- Update training curricula and onboarding materials to reflect revised workflows and performance expectations.
- Perform periodic process audits using checklists aligned with lean principles and documented standards.
- Rebaseline cycle time targets annually or after major operational changes to maintain improvement momentum.
