This curriculum spans the design and execution of delivery performance systems found in multi-workshop operational improvement programs, covering metric definition, cross-functional process alignment, and technology integration comparable to internal capability building initiatives in large-scale lean transformations.
Module 1: Defining On-Time Delivery Metrics and Performance Baselines
- Selecting between shipment time, receipt time, or production completion time as the official delivery timestamp based on customer validation requirements.
- Establishing tolerance thresholds for early and late deliveries to avoid misclassification of performance in JIT environments.
- Integrating customer-specific delivery windows into the OTD calculation to reflect contractual obligations accurately.
- Deciding whether to measure OTD at the order, line item, or pallet level based on supply chain complexity and tracking capability.
- Addressing data latency in ERP systems by determining whether to use planned ship dates or actual dispatch timestamps.
- Excluding force majeure events from OTD calculations while maintaining audit trails for stakeholder reviews.
Module 2: Mapping Value Streams with Delivery-Centric Constraints
- Identifying non-value-added delays in order processing that directly impact committed delivery dates.
- Mapping handoffs between procurement, production, and logistics to pinpoint accountability gaps affecting OTD.
- Using takt time analysis to align production cycles with delivery schedules in mixed-model environments.
- Highlighting supplier lead time variability as a constraint in the extended value stream.
- Documenting rework loops in the process flow that erode available time for on-time fulfillment.
- Validating process cycle efficiency against delivery performance data to prioritize improvement efforts.
Module 3: Integrating Lean Scheduling with Customer Demand Patterns
- Configuring heijunka boards to level production volume and mix in alignment with delivery commitments.
- Adjusting production sequence rules (e.g., FIFO vs. priority-based) based on delivery urgency and resource availability.
- Implementing pacemaker process control to synchronize upstream operations with final assembly and shipping.
- Designing buffer zones at constraint points to absorb minor disruptions without delaying shipments.
- Balancing kanban replenishment intervals with delivery frequency requirements to avoid stockouts.
- Reconciling master production schedule (MPS) updates with confirmed customer delivery dates to prevent overpromising.
Module 4: Applying Six Sigma to Reduce Delivery Time Variation
- Conducting measurement system analysis (MSA) on delivery time data collected from GPS, warehouse scanners, and customer logs.
- Using process capability analysis (Cp/Cpk) to quantify consistency of delivery performance against customer windows.
- Running root cause analysis (e.g., fishbone diagrams) on late deliveries to isolate systemic vs. sporadic failures.
- Designing and validating corrective actions through pilot shipments before enterprise-wide rollout.
- Implementing control charts to monitor delivery lead time stability post-improvement.
- Quantifying financial impact of reducing delivery standard deviation for business case justification.
Module 5: Managing Supplier and Logistics Performance
- Negotiating supplier OTD KPIs with clear definitions and data-sharing agreements for performance tracking.
- Requiring carriers to provide real-time GPS tracking data integrated into the delivery monitoring dashboard.
- Establishing escalation protocols for delayed inbound shipments affecting outbound delivery promises.
- Conducting supplier scorecard reviews that include delivery reliability, responsiveness, and corrective action follow-up.
- Implementing dual sourcing strategies for critical components to mitigate delivery risk from single suppliers.
- Auditing freight forwarder documentation accuracy to prevent customs delays at international borders.
Module 6: Aligning Continuous Improvement Initiatives with Delivery Goals
- Selecting kaizen events focused on reducing order-to-ship cycle time rather than generic efficiency gains.
- Linking 5S outcomes in warehouse areas to reduced picking and staging time for scheduled deliveries.
- Using A3 problem-solving to address recurring late deliveries from specific customer routes.
- Deploying visual management boards that highlight delivery status and escalation paths in real time.
- Standardizing improvement templates to ensure OTD impact is measured consistently across projects.
- Assigning process owners accountability for sustaining delivery performance post-kaizen.
Module 7: Governance and Cross-Functional Accountability for OTD
- Defining escalation paths for delivery risks between sales, operations, and logistics during order fulfillment.
- Establishing a cross-functional delivery review meeting with data-driven agendas focused on root causes.
- Implementing a closed-loop corrective action system for missed deliveries with documented resolutions.
- Aligning incentive structures across departments to reward on-time delivery, not just production volume.
- Integrating OTD performance into monthly operational reviews with executive escalation for chronic issues.
- Conducting quarterly audits of delivery process controls to ensure compliance with SOPs and improvement gains.
Module 8: Technology Integration and Real-Time Delivery Monitoring
- Selecting ERP modules that support dynamic delivery date promising based on current capacity and material availability.
- Configuring automated alerts for orders at risk of missing delivery windows based on production progress.
- Integrating warehouse management system (WMS) data with transportation management system (TMS) for end-to-end visibility.
- Validating API reliability between customer portals and internal systems for accurate delivery status updates.
- Deploying mobile scanning at loading docks to confirm shipment dispatch times in real time.
- Using predictive analytics to forecast delivery risk based on historical performance and current backlog.
