Dynamic programming algorithms for multi-stage safety stock optimization
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Publication:1374809
DOI10.1007/BF01539783zbMath0888.90048OpenAlexW2052623692MaRDI QIDQ1374809
Publication date: 11 December 1997
Published in: OR Spektrum (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/bf01539783
Related Items (10)
Meta-heuristics for placing strategic safety stock in multi-echelon inventory with differentiated service times ⋮ Safety stock placement in supply chains with expediting ⋮ Heuristic approaches to determine base-stock levels in a serial supply chain with a single objective and with multiple objectives ⋮ A typology and literature review on stochastic multi-echelon inventory models ⋮ The stochastic guaranteed service model with recourse for multi-echelon warehouse management ⋮ New model and heuristics for safety stock placement in general acyclic supply chain networks ⋮ Setting safety stocks in multi-stage inventory systems under rolling horizon mathematical programming models ⋮ Efficient heuristics for inventory placement in acyclic networks ⋮ Materials coordination in stochastic multi-echelon systems ⋮ Channel coordination among the members in a three-echelon supply chain model for price, quality and advertising sensitive demand with some sub-supply chain strategies
Cites Work
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- Integral stock norms in divergent systems with lot-sizes
- Mehrstufige Sicherheitsbestandsplanung mit dynamischer Programmierung. (Multi-stage safety stock planning through dynamic programming)
- Hierarchical production planning for consumer goods
- Materials coordination in stochastic multi-echelon systems
- Multi-echelon systems: A service measure perspective
- Optimal Inventory Policies for Assembly Systems Under Random Demands
- An analytical theory of multi‐echelon production/distribution systems
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