Optimizing (\(s, S\)) policies for multi-period inventory models with demand distribution uncertainty: robust dynamic programing approaches
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Publication:1753637
DOI10.1016/j.ejor.2017.02.027zbMath1403.90047OpenAlexW2591394844WikidataQ57570703 ScholiaQ57570703MaRDI QIDQ1753637
Minghe Sun, Ruozhen Qiu, Yun Fong Lim
Publication date: 29 May 2018
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://ink.library.smu.edu.sg/lkcsb_research/5110
inventoryrobust optimizationdemand distribution uncertaintydynamic programingperiodic-review (\(s, S\)) policy
Related Items (10)
Replacement and inventory control for a multi-customer product service system with decreasing replacement costs ⋮ Robust multi-product inventory optimization under support vector clustering-based data-driven demand uncertainty set ⋮ Optimal inventory policies for a two-dimensional stochastic inventory model: a numerical investigation ⋮ Intelligent inventory management approaches for perishable pharmaceutical products in a healthcare supply chain ⋮ Affinely adjustable robust optimization for a multi‐period inventory problem with capital constraints and demand uncertainties ⋮ Adaptive inventory control based on fuzzy neural network under uncertain environment ⋮ Continuous inventory control with stochastic and non-stationary Markovian demand ⋮ Computing non-stationary \((s, S)\) policies using mixed integer linear programming ⋮ A centralized stochastic inventory control model for perishable products considering age-dependent purchase price and lead time ⋮ A robust omnichannel pricing and ordering optimization approach with return policies based on data-driven support vector clustering
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