@article{2995,
  author = {Jorge Ivan Romero-Gelvez , Edisson Alexander Delgado-Sierra, Jorge Aurelio},
  title = {The use of Hybrid Models to Solve Manufacturers Resource Planning},
  journal = {Journal of Information Technology Review},
  year = {2020},
  volume = {11},
  number = {2},
  doi = {https://doi.org/10.6025/jitr/2020/11/2/55-66},
  url = {http://www.dline.info/jitr/fulltext/v11n2/jitrv11n2_2.pdf},
  abstract = {The purpose of this work is to contribute to the extended use of hybrid models to solve MRP issues dealing with
stochastic demand over main stock-keeping units. The methodology development first apply SARIMA (Seasonal Autoregressive
Integrated Moving Average Model), Long short term memory networks and Fb-prophet as forecasting methods to predict the
demand for the master production schedule, next applies an integer programming model with JuMP (Julia Mathematical
programming) for solving the MRP using the Lot for lot approach (L4L). The main contribution of this work is to show a way
to solve dynamic demand problems over the Forecasting-MIP approach.},
}