MRO spare parts features

Lanza is specialized in supporting MRO spare parts planning. Therefore, there are several functionalities tailored specifically to the complexities of the MRO spare parts environment: slow mover management, repairable management, supersession, and where-used information (e.g., BOM).

Slow mover management

Lanza offers specialized forecasting algorithms to tackle the challenges of forecasting slow moving-parts. Because of the lack of data, regular forecasting methods often do not provide accurate results.

• Croston forecasting
  The Croston-forecasting method is specifically designed to forecast parts with intermittent demand. This makes it applicable to slow moving-parts, where due to the infrequency of demand, demand is often intermittent.
  Croston separately forecasts the demand size (if there is demand, how much is requested) and demand interval (what is the time between two consecutive demands). In this way, the exaggerated impact of months without demand that occurs with normal forecasting algorithms is negated.
• Typical Demand Quantity (TDQ)
  The TDQ-method is a forecasting and inventory model in one. It is designed to suit slow movers with lumpy and intermittent demand, where regular statistics offer little value.
  The TDQ-method determines logical batches that correspond with typical amounts requested by customers. Based on the chosen stock availability target and lead time, Lanza calculates which number, or combination, of batches should be stocked to achieve the target stock availability.