Description

This curriculum spans the design and operational governance of service parts routing networks, comparable in scope to a multi-phase internal capability program for supply chain teams implementing enterprise-wide parts logistics automation.

Module 1: Strategic Network Design for Service Parts Distribution

Selecting the optimal number and geographic placement of central, regional, and forward stocking locations based on service level targets and transportation costs.
Evaluating trade-offs between centralized inventory (lower holding costs) and decentralized inventory (faster response times) for high-criticality parts.
Integrating service level agreements (SLAs) for repair turnaround time into network design decisions for multi-echelon systems.
Assessing the impact of customs delays and cross-border regulations when routing parts through international hubs.
Determining which parts qualify for direct ship from supplier to technician versus routing through distribution centers.
Modeling the cost implications of adding express lanes or bypass routes for emergency repair parts within the network.

Module 2: Demand Classification and Part Criticality Segmentation

Implementing a multi-dimensional classification system (e.g., ABC-XYZ) that combines value, demand frequency, and lead time to prioritize routing logic.
Assigning service parts to routing tiers based on operational criticality (e.g., downtime cost per hour) rather than just sales volume.
Adjusting classification thresholds dynamically in response to seasonal or event-driven demand spikes (e.g., product recalls).
Resolving conflicts between engineering (recommended spare parts) and operations (actual failure rates) when defining criticality.
Establishing governance rules for reclassifying parts after prolonged periods of zero or sporadic demand.
Aligning part criticality with available transportation modes (e.g., air freight eligibility) in routing decision engines.

Module 3: Dynamic Routing Engine Configuration

Configuring routing rules to prioritize source locations based on proximity, available stock, and replenishment lead time.
Programming fallback logic for when the primary source location is out of stock or offline for maintenance.
Implementing time-based routing exceptions for after-hours or weekend service calls requiring alternate fulfillment paths.
Integrating real-time carrier performance data (on-time delivery %, transit time variance) into mode selection algorithms.
Defining escalation paths for urgent orders that exceed predefined transit time thresholds.
Managing rule conflicts between corporate logistics policies and local operational workarounds used by field teams.

Module 4: Multi-Echelon Inventory Replenishment and Positioning

Setting safety stock levels at each echelon using demand variability and lead time data from historical routing performance.
Coordinating push-based replenishment from central warehouses to forward stocking points based on predictive failure models.
Implementing lateral transshipment protocols between regional depots to avoid backorders during localized demand surges.
Calculating the cost-benefit of proactive pre-positioning of high-downtime-cost parts before known service campaigns.
Monitoring and adjusting reorder points when transportation delays impact replenishment cycle times.
Enforcing inventory ownership rules (consignment vs. owned stock) across echelons to prevent misallocation during routing.

Module 5: Carrier and Mode Selection Governance

Developing a decision matrix for selecting carrier modes (ground, air, courier) based on part criticality, cost, and delivery window.
Negotiating and embedding contracted service lanes and rates into the routing engine for automated selection.
Validating carrier tracking integration to ensure real-time visibility during active routing execution.
Establishing thresholds for automatic mode upgrades when SLAs are at risk based on current shipment progress.
Managing exceptions when preferred carriers fail to meet contracted performance metrics over defined periods.
Auditing mode selection decisions to detect and correct systemic overuse of premium shipping for non-critical parts.

Module 6: Reverse Logistics and Repair Loop Integration

Designing return routing paths that consolidate failed parts from technicians to designated repair or testing centers.
Defining ownership transfer points and liability for parts in transit during the repair-return cycle.
Integrating repair turnaround time data into forward routing decisions for loaner or temporary replacement parts.
Implementing barcode or RFID tracking to synchronize return shipments with work order and inventory systems.
Establishing criteria for routing failed parts to remanufacturing, salvage, or disposal based on diagnostics.
Coordinating return shipping labels and packaging instructions with forward delivery to reduce technician handling time.

Module 7: Real-Time Visibility and Exception Management

Configuring dashboards to highlight orders at risk of missing SLAs due to routing or carrier delays.
Defining escalation procedures for rerouting active shipments when intermediate hubs experience disruptions.
Integrating GPS and carrier API feeds to trigger automatic notifications when delivery milestones are missed.
Documenting root causes of routing exceptions to refine rules and prevent recurrence.
Enabling field technicians to request routing overrides with required justification and approval workflows.
Conducting post-mortem reviews of major routing failures to update contingency protocols and training.

Module 8: Performance Measurement and Continuous Optimization

Tracking on-time delivery rate by part criticality tier to assess routing effectiveness across segments.
Measuring average transit time versus committed lead time for each source-to-destination lane.
Calculating total landed cost per routed part, including transportation, handling, and expediting fees.
Using statistical process control to detect degradation in routing performance before SLA breaches occur.
Conducting A/B testing of routing rule changes in controlled regions before enterprise rollout.
Aligning KPIs across supply chain, service operations, and finance to avoid misaligned incentives in routing behavior.