Decision support framework for inventory management combining fuzzy multicriteria methods, genetic algorithm, and artificial neural network-Reference-Cited by-同舟云学术

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Decision support framework for inventory management combining fuzzy multicriteria methods, genetic algorithm, and artificial neural network

Published:2022-12 Issue: Volume:174 Page:108777
ISSN:0360-8352
Container-title:Computers & Industrial Engineering
language:en
Short-container-title:Computers & Industrial Engineering

Author:

de Paula Vidal Guilherme Henrique,Caiado Rodrigo Goyannes Gusmão,Scavarda Luiz Felipe,Ivson Paulo,Garza-Reyes Jose Arturo

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference66 articles.

1. An optimized model using LSTM network for demand forecasting;Abbasimehr;Computers and Industrial Engineering,2020

2. Univariate modeling and forecasting of monthly energy demand time series using abductive and neural networks;Abdel-Aal;Computers and Industrial Engineering,2008

3. Demand forecasting in supply chain: The impact of demand volatility in the presence of promotion;Abolghasemi;Computers and Industrial Engineering,2020

4. Demand forecasting application with regression and artificial intelligence methods in a construction machinery company;Aktepe;Journal of Intelligent Manufacturing,2021

5. Improved mro inventory management system in oil and gas company: Increased service level and reduced average inventory investment;Ali;Sustainability,2020

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