Pages that link to "Item:Q5292802"
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The following pages link to A new approach of forecasting intermittent demand for spare parts inventories in the process industries (Q5292802):
Displaying 13 items.
- A hybrid support vector machines and logistic regression approach for forecasting intermittent demand of spare parts (Q856084) (← links)
- Evaluation of forecasting methods for intermittent parts demand in the field of aviation: a predictive model. (Q1422370) (← 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)
- A two-step method for forecasting spare parts demand using information on component repairs (Q1926751) (← links)
- Improving density forecast by modeling asymmetric features: an application to S{\&}P500 returns (Q2455633) (← links)
- An empirical Bayes approach to incorporating demand intermittency and irregularity into inventory control (Q2673575) (← links)
- A new approach of forecasting intermittent demand for spare parts (Q2990397) (← links)
- An adaptive forecasting algorithm and inventory policy for products with short life cycles (Q3156744) (← links)
- (Q5143883) (← links)
- Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (Q5475733) (← links)
- Intermittent demand forecasting with transformer neural networks (Q6589118) (← links)
