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Stochastic dynamic programming heuristic for the \((R,s,S)\) policy parameters computation - MaRDI portal

Stochastic dynamic programming heuristic for the \((R,s,S)\) policy parameters computation (Q6106598)

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scientific article; zbMATH DE number 7705495

Language	Label	Description	Also known as
English	Stochastic dynamic programming heuristic for the \((R,s,S)\) policy parameters computation	scientific article; zbMATH DE number 7705495

Statements

scholarly article

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Stochastic dynamic programming heuristic for the \((R,s,S)\) policy parameters computation (English)

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Andrea Visentin

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Steven Prestwich

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S. Armagan Tarim

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Computers \& Operations Research

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publication date

3 July 2023

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full work available at URL

https://arxiv.org/abs/2202.08803

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zbMATH Keywords

inventory

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\((R,s,S)\) policy

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demand uncertainty

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stochastic lot sizing

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MaRDI profile type

MaRDI publication profile

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Optimal Inventory Policy

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Inventory control

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Optimal and simple approximate solutions to a production-inventory system with stochastic and deterministic demand

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Strategies for the Probabilistic Lot-Sizing Problem with Service-Level Constraints

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Solving a novel inventory location model with stochastic constraints and \((R,s,S)\) inventory control policy

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Nervousness in inventory management: Comparison of basic control rules

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An enhanced L-shaped method for optimizing periodic-review inventory control problems modeled via two-stage stochastic programming

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Optimal production and inventory control of multi-class mixed backorder and lost sales demand class models

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The stochastic lot-sizing problem with quantity discounts

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Controlling distribution inventory systems with shipment consolidation and compound Poisson demand

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Dynamic lot sizing with random demand and non-stationary costs

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Exact fill rates for (<i>R, s, S</i>) inventory control with gamma distributed demand

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A mixed integer programming formulation for the stochastic lot sizing problem with controllable processing times

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An Extended Mixed-Integer Programming Formulation and Dynamic Cut Generation Approach for the Stochastic Lot-Sizing Problem

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Computing optimal \((R, s, S)\) policy parameters by a hybrid of branch-and-bound and stochastic dynamic programming

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Computing non-stationary \((s, S)\) policies using mixed integer linear programming

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Identifiers

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Mathematics Subject Classification ID

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zbMATH DE Number

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10.1016/J.COR.2023.106289

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Sitelinks

Mathematics(1 entry)

mardi Publication:6106598

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