Description

This curriculum spans the design and execution of a multi-echelon service parts network, comparable in scope to an internal capability program that integrates strategic inventory planning, demand forecasting for intermittent items, lifecycle controls, and system-wide performance management across procurement, warehousing, and field operations.

Module 1: Strategic Inventory Network Design

Selecting the number and geographic placement of regional distribution centers to balance delivery speed against holding costs for low-turnover service parts.
Evaluating centralized versus decentralized stocking strategies for high-criticality components based on mean time to repair (MTTR) requirements.
Defining service-level agreements (SLAs) with field operations to determine required fill rates and their impact on safety stock levels.
Mapping customer service territories to warehouse locations using historical failure data and transportation lead times.
Deciding when to implement vendor-managed inventory (VMI) at customer sites for mission-critical spare parts.
Integrating reverse logistics lanes into network design to support repairable asset returns and core exchanges.

Module 2: Demand Forecasting for Intermittent Parts

Choosing between Croston’s method, SBA, and TSB models for forecasting slow-moving parts with sporadic demand patterns.
Determining the optimal historical data window for forecasting when equipment fleets undergo phased retirements or upgrades.
Adjusting baseline forecasts for known field campaigns, such as preventive maintenance events or regulatory recalls.
Handling zero-demand periods in forecasting models without over-inflating safety stock for obsolete or near-obsolete parts.
Segmenting parts by demand volatility and applying different forecasting techniques per ABC-XYZ classification.
Validating forecast accuracy using holdout samples and selecting error metrics (e.g., MAD, MAPE) appropriate for intermittent demand.

Module 3: Multi-Echelon Inventory Optimization (MEIO)

Configuring push vs. pull logic for stocking decisions between central depots and field warehouses based on part criticality and lead time.
Setting target stock levels at each echelon to meet system-wide service goals while minimizing total inventory investment.
Modeling lateral transshipments between field locations and incorporating their costs and time impacts into optimization rules.
Defining repair capacity constraints in MEIO models to reflect realistic turnaround times for returned components.
Integrating supplier lead time variability into safety stock calculations across echelons.
Updating MEIO parameters quarterly based on changes in equipment population, failure rates, and service commitments.

Module 4: Obsolescence and Lifecycle Management

Establishing end-of-life (EOL) procurement quantities for parts when original equipment manufacturers announce discontinuation.
Coordinating with engineering teams to identify form-fit-function replacements and documenting substitution rules in the ERP system.
Deciding when to transition from repair to scrap for aging components based on cost-per-repair trends and availability of spares.
Managing consignment stock with suppliers for parts no longer in active production but still in service.
Flagging parts for phase-out in inventory systems based on equipment retirement schedules and warranty expiration curves.
Allocating buffer stock for legacy systems still in operation beyond vendor support periods.

Module 5: Supplier and Contract Management

Negotiating guaranteed availability clauses for critical parts in supplier contracts, including penalties for non-delivery.
Assessing dual-sourcing options for single-source components to mitigate supply disruption risks.
Implementing supplier performance scorecards that track on-time delivery, fill rate, and return defect rates.
Managing long-lead procurement cycles by locking in purchase orders based on forecasted multi-year demand.
Structuring blanket orders with min/max pull agreements to reduce order processing overhead and lead time exposure.
Auditing supplier repair certifications and turnaround times to ensure compliance with service-level commitments.

Module 6: Warehouse Operations and Kitting Strategies

Designing forward pick areas for high-velocity service parts to reduce order picking time during emergency repairs.
Implementing serialized tracking for high-value components to support warranty claims and theft prevention.
Creating repair kits with pre-packaged sets of common wear items for scheduled maintenance visits.
Assigning bin locations based on part dimensions, weight, and frequency of issue to optimize material handling.
Validating cycle count procedures for low-turnover items that are prone to inventory record inaccuracy.
Integrating barcode scanning workflows with ERP systems to reduce manual data entry errors during issue and return.

Module 7: Performance Measurement and Continuous Improvement

Calculating inventory turnover for service parts while excluding safety stock and EOL items to reflect active management performance.
Tracking spare parts availability at the work order level to identify systemic stockouts affecting technician productivity.
Conducting root cause analysis on emergency air shipments to determine if they resulted from forecasting errors or supply gaps.
Using mean absolute ratio (MAR) to compare forecast accuracy across parts with different demand profiles.
Benchmarking stockout frequency by part category and initiating replenishment rule reviews for underperforming groups.
Aligning KPIs across procurement, warehousing, and field service to eliminate functional silos in parts availability.

Module 8: Digital Integration and System Configuration

Configuring ERP systems to distinguish between consumable supplies and repairable service parts in inventory records.
Mapping service bills of material (BOMs) to work orders to automate parts requisitioning during scheduled maintenance.
Integrating IoT sensor data from equipment into parts management systems to trigger predictive replenishment.
Setting up reorder point and order quantity logic based on supplier MOQs, packaging units, and storage constraints.
Enabling mobile access to parts lookup and reservation systems for technicians in remote field locations.
Validating data synchronization between CMMS, ERP, and warehouse management systems to prevent fulfillment delays.