reservedelsplaner

Reservedelsplaner is a concept in logistics and operations management referring to the systematic planning and control of spare parts inventories and replenishment across a product support network. The term hints at a focus on spare parts planning within service and maintenance contexts, and is used to describe frameworks that balance high service levels with total lifecycle costs.

Core objectives include ensuring availability of critical components, reducing stockouts, and minimizing aging or obsolete stock, while keeping carrying costs under control. The approach emphasizes aligning parts availability with equipment needs and maintenance schedules, aiming to support uptime and efficient field operations.

Key elements include demand forecasting for service parts, safety stock calculation, lead time management, and policy settings such as minimum and maximum stock levels or reorder points. The approach often relies on product-level criticality, consumption patterns, and lifecycle stage, using methods like ABC analysis and service-level targeting. Bills of materials and maintenance schedules link parts to equipment and preventive maintenance, enabling accurate replenishment planning.

Process and tools involve data collection from usage histories and warranty data, clustering of parts by criticality, deployment of ERP or dedicated service-parts planning software, and replenishment mechanisms such as MRP-based orders, kanban or vendor-managed inventory where appropriate. Collaboration with suppliers and field technicians supports accurate demand signals and faster replacements. Lifecycle management addresses obsolescence, end-of-life parts, and product replacements.

Applications span manufacturing, automotive, aerospace, heavy equipment, and medical devices, particularly where maintenance, repair, and operations hinge on timely parts availability. The concept is often integrated with broader service-centric strategies such as maintenance, repair, and operations (MRO) management and service level agreements.

Challenges include demand volatility, varying part catalogs, long tail inventories, data quality, and the need for cross-functional alignment between procurement, engineering, and service teams.