Pages that link to "Item:Q1926751"
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The following pages link to A two-step method for forecasting spare parts demand using information on component repairs (Q1926751):
Displaying 17 items.
- Evaluation of forecasting methods for intermittent parts demand in the field of aviation: a predictive model. (Q1422370) (← links)
- Modeling spare parts demands forecast under two-dimensional preventive maintenance policy (Q1666448) (← links)
- Spare parts classification in industrial manufacturing using the dominance-based rough set approach (Q1683158) (← links)
- Product packing and stacking under uncertainty: a robust approach (Q1740542) (← links)
- Exploiting elapsed time for managing intermittent demand for spare parts (Q1751732) (← links)
- An improved method for forecasting spare parts demand using extreme value theory (Q1753565) (← links)
- OR in spare parts management: a review (Q1754102) (← links)
- Joint optimization of preventive maintenance and spare parts inventory with appointment policy (Q1992629) (← links)
- Robust decisions for regulated sustainable manufacturing with partial demand information: mandatory emission capacity versus emission tax (Q2076866) (← links)
- Enhanced Viscous Mesh Generation with Metric-Based Blending (Q2948921) (← links)
- A new approach of forecasting intermittent demand for spare parts (Q2990397) (← links)
- (Q3500598) (← links)
- Forecasting for the ordering and stock-holding of spare parts (Q4661151) (← links)
- A new approach of forecasting intermittent demand for spare parts inventories in the process industries (Q5292802) (← links)
- Forecasting both time varying MTBF of fighter aircraft module and expected demand of minor parts (Q5428965) (← links)
- Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (Q5475733) (← links)
- When is the next order? Nowcasting channel inventories with point-of-sales data to predict the timing of retail orders (Q6554597) (← links)
