Description

This curriculum spans the design and execution of service parts systems at the scale of a multi-workshop operational rollout, covering network architecture, demand planning, and repair logistics with the granularity seen in internal supply chain transformation programs.

Module 1: Strategic Service Parts Network Design

Selecting between centralized, decentralized, and hybrid warehouse configurations based on regional service level requirements and transportation lead times.
Calculating optimal stocking locations using total cost of ownership models that include inventory carrying costs, transportation, and expediting expenses.
Integrating service parts network design with existing spare parts supply chains to avoid duplication and reduce complexity.
Determining service level agreements (SLAs) per part category and aligning network design to meet response time commitments.
Assessing the impact of third-party logistics (3PL) partnerships on control, visibility, and responsiveness in the service network.
Implementing network segmentation strategies based on equipment criticality, failure rates, and geographic density of installed base.

Module 2: Demand Forecasting for Service Parts

Choosing between intermittent demand models (Croston, SBA, TSB) based on part usage patterns and historical transaction sparsity.
Adjusting statistical forecasts with engineering inputs such as product retirement plans, field modifications, and recall campaigns.
Handling demand spikes caused by product obsolescence or end-of-life buy decisions without overstocking long-tail parts.
Integrating installed base data with failure rate estimates (MTBF, Weibull) to generate causal demand forecasts.
Managing forecast accuracy for low-turn parts where historical data is insufficient or non-existent.
Establishing governance processes for monthly forecast reconciliation between service operations, supply chain, and finance teams.

Module 3: Inventory Optimization and Stocking Policies

Setting min/max levels for repairable, rotable, and consumable parts based on repair cycle times and procurement lead times.
Applying multi-echelon inventory optimization (MEIO) to balance stock levels across depots, field warehouses, and technician vans.
Implementing dynamic safety stock calculations that adjust for seasonality, supplier reliability, and service level targets.
Defining stocking rules for parts with long lead times versus those with local availability through vendor-managed inventory (VMI).
Managing non-moving inventory through structured review cycles, cannibalization policies, and disposal protocols.
Aligning inventory policies with financial constraints such as working capital limits and balance sheet liability targets.

Module 4: Service Parts Procurement and Supplier Management

Negotiating consignment or pay-on-use agreements for high-cost, low-usage parts to reduce inventory liability.
Managing dual sourcing strategies for legacy parts where original suppliers are no longer active.
Enforcing quality and traceability requirements for aftermarket or reverse-engineered components in regulated industries.
Implementing supplier performance scorecards that track on-time delivery, fill rate, and packaging compliance for service parts.
Handling obsolescence risk by coordinating with suppliers on last-time buys and alternative part substitutions.
Integrating supplier lead time variability into procurement planning cycles to prevent stockouts during supply disruptions.

Module 5: Reverse Logistics and Repairable Parts Management

Designing return material authorization (RMA) workflows that balance speed of repair with root cause analysis requirements.
Establishing repair turnaround time SLAs with internal or outsourced repair centers and monitoring adherence.
Implementing barcoding and tracking systems to monitor repairable assets through test, repair, and restock cycles.
Deciding between repair, refurbish, or scrap based on cost-benefit analysis and part condition assessment protocols.
Managing the pool of loaner and exchange units to maintain uptime while customer assets are in repair.
Optimizing the balance between repair investment and procurement of new replacements for aging parts.

Module 6: Service Parts Data Management and Master Data Governance

Standardizing part numbering and nomenclature across service, engineering, and procurement systems to prevent duplication.
Implementing change management processes for part revisions, supersessions, and cross-reference updates.
Resolving data conflicts between ERP, CMMS, and supply chain systems during master data synchronization.
Defining ownership and stewardship roles for critical service parts attributes such as unit of measure, shelf life, and hazard codes.
Enforcing data quality rules during part creation to ensure compatibility with forecasting and inventory systems.
Mapping service parts to equipment bills of material (BOMs) to enable accurate provisioning for maintenance jobs.

Module 7: Performance Measurement and Continuous Improvement

Calculating and tracking part fill rate, mean time to repair (MTTR), and inventory turnover at the part and location level.
Conducting root cause analysis on chronic stockouts or excess inventory using Pareto analysis and process mapping.
Aligning service parts KPIs with field service productivity and customer uptime outcomes.
Implementing monthly service parts business reviews (SPBRs) with cross-functional stakeholders to assess performance.
Using simulation tools to evaluate the impact of policy changes before full-scale implementation.
Integrating customer feedback on part availability and delivery speed into service parts process redesign initiatives.

Module 8: Technology Enablement and System Integration

Selecting service parts management modules within ERP or specialized EAM/SCM platforms based on scalability and integration needs.
Configuring warehouse management systems (WMS) for serial-number-tracked and shelf-life-sensitive service parts.
Integrating field service mobile applications with inventory systems to enable real-time part consumption and reservations.
Developing APIs to synchronize service parts data between CRM, ERP, and supplier portals.
Implementing barcode and RFID tracking for high-value parts to reduce shrinkage and improve audit accuracy.
Designing data warehouses and dashboards that consolidate service parts metrics across global operations.