Computing optimal (R,s,S) policy parameters by a hybrid of branch-and-bound and stochastic dynamic programming
Year of publication: |
2021
|
---|---|
Authors: | Visentin, Andrea ; Prestwich, Steven ; Rossi, Roberto ; Tarim, S. Armagan |
Published in: |
European journal of operational research : EJOR. - Amsterdam : Elsevier, ISSN 0377-2217, ZDB-ID 243003-4. - Vol. 294.2021, 1 (1.10.), p. 91-99
|
Subject: | (R,s,S) policy | Demand uncertainty | Inventory | Stochastic lot sizing | Theorie | Theory | Dynamische Optimierung | Dynamic programming | Mathematische Optimierung | Mathematical programming | Losgröße | Lot size | Stochastischer Prozess | Stochastic process | Lagerhaltungsmodell | Inventory model | Produktionsplanung | Production planning |
-
Stochastic dynamic programming heuristic for the (R,s,S) policy parameters computation
Visentin, Andrea, (2023)
-
A multi-phase algorithm for a joint lot-sizing and pricing problem with stochastic demands
Li, Hongyan, (2014)
-
Quezada, Franco, (2022)
- More ...
-
Stochastic Dynamic Programming Heuristic for the (R, S, S) Policy Parameters Computation
Visentin, Andrea, (2022)
-
Stochastic dynamic programming heuristic for the (R,s,S) policy parameters computation
Visentin, Andrea, (2023)
-
Finding reliable solutions : event-driven probabilistic constraint programming
Tarim, S. Armagan, (2009)
- More ...