Pages that link to "Item:Q1753520"
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The following pages link to Supply chain forecasting when information is not shared (Q1753520):
Displaying 14 items.
- Supply chain forecasting: theory, practice, their gap and the future (Q322825) (← links)
- On the interaction between asymmetric demand signal and forecast accuracy information (Q1740537) (← links)
- A unified theory of the dynamics of closed-loop supply chains (Q1744522) (← links)
- Downstream demand inference in decentralized supply chains (Q1755233) (← links)
- How collaborative forecasting can reduce forecast accuracy (Q1785377) (← links)
- An improved forecasting approach to reduce inventory levels in decentralized supply chains (Q2023923) (← links)
- Using shared sell-through data to forecast wholesaler demand in multi-echelon supply chains (Q2028883) (← links)
- Information sharing and information errors with noninferable demand (Q2060378) (← links)
- Forecast with forecasts: diversity matters (Q2140152) (← links)
- On the value of information sharing in the presence of information errors (Q2240062) (← links)
- Application of machine learning techniques for supply chain demand forecasting (Q2384865) (← links)
- Estimating demand by using sales information: inaccuracies encountered (Q2503045) (← links)
- Decision optimization in cooperation innovation: the impact of big data analytics capability and cooperative modes (Q6491729) (← links)
- When is the next order? Nowcasting channel inventories with point-of-sales data to predict the timing of retail orders (Q6554597) (← links)
