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Learning algorithms to deal with failures in production planning

  • Published:2022-07 Issue: Volume:169 Page:108231
  • ISSN:0360-8352
  • Container-title:Computers & Industrial Engineering
  • language:en
  • Short-container-title:Computers & Industrial Engineering

Author:

Alves Fernanda F.,Nogueira Thiago H.,Ravetti Martín G.

Funder

Fundação de Amparo à Pesquisa do Estado de Minas Gerais

Fundação de Desenvolvimento da Pesquisa

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference73 articles.

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

2. A robust hierarchical production planning for a capacitated two-stage production system;Aghezzaf;Computers & Industrial Engineering,2011

3. A bibliography of non-deterministic lot-sizing models;Aloulou;International Journal of Production Research,2014

4. Approaches for the joint resolution of lot-sizing and scheduling with infeasibilities occurrences;Alves;Computers & Industrial Engineering,2021

5. Executing production schedules in the face of uncertainties: A review and some future directions;Aytug;European Journal of Operational Research,2005

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