Pages that link to "Item:Q2484345"
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The following pages link to A stochastic programming approach for supply chain network design under uncertainty (Q2484345):
Displaying 10 items.
- An accelerated benders decomposition algorithm for stochastic power system expansion planning using sample average approximation (Q6163589) (← links)
- Resilience of long chain under disruption (Q6167597) (← links)
- Stable annual scheduling of medical residents using prioritized multiple training schedules to combat operational uncertainty (Q6167875) (← links)
- Fair-split distribution of multi-dose vaccines with prioritized age groups and dynamic demand: the case study of COVID-19 (Q6168576) (← links)
- Two-stage distributionally robust optimization model for a pharmaceutical cold supply chain network design problem (Q6495410) (← links)
- Multi-period fourth-party logistics network design with the temporary outsourcing service under demand uncertainty (Q6551185) (← links)
- Joint relocation and pricing in electric car-sharing systems (Q6554654) (← links)
- Accelerated Benders decomposition and local branching for dynamic maximum covering location problems (Q6568492) (← links)
- A simulated annealing approach for reliability-based chance-constrained programming (Q6571856) (← links)
- Impact of resource reconfiguration on the dairy supply chain resilience (Q6667352) (← links)
