Optimization and inventory management under stochastic demand using metaheuristic algorithm

This study considers multi-period inventory systems for optimizing profit and storage space under stochastic demand. A nonlinear programming model based on random demand is proposed to simulate the inventory operation. The effective inventory management system is realized using a multi-objective gre...

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Vydáno v:	PloS one Ročník 19; číslo 1; s. e0286433
Hlavní autoři:	Tan, Nguyen Duy, Kim, Hwan-Seong, Long, Le Ngoc Bao, Nguyen, Duy Anh, You, Sam-Sang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Public Library of Science 05.01.2024 Public Library of Science (PLoS)
Témata:	Algorithms Analysis Decision making Demand Evaluation Forecasts and trends Genetic algorithms Heuristic methods Hydrologic cycle Information management Internet of Things Inventory Inventory control Inventory management Logistics Mathematical models Mathematical optimization Methods Multiple objective analysis Nonlinear programming Numerical analysis Optimization Optimization algorithms Sensitivity analysis Supply chain management Supply chains South Korea
ISSN:	1932-6203, 1932-6203
On-line přístup:	Získat plný text
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