Design and Development of an Industrial Solver for Integrated Planning of Production and Logistics

Faced with an increasingly hard competition, an increasingly unstable economic environment and ever-increasing customer requirements, companies should optimize costs and lead times not only at their level but also at the entire supply chain to which they belong. In such situation, an integrated supply chain management is necessary. In this paper, we discuss one of the essential building blocks of the integrated supply chain management, which is the integrated planning of the sup-ply chain. We introduce a new method for integrated planning of production and logistics, which is the MLRP (Manufacturing and Logistics Requirement Planning). This method allows supply chain planners to determine in advance, for the entire planning horizon, the manufacturing orders, the supplier’s commands and the transport orders as well as vehicles routing for distribution of finished products and for the collection of components/raw materials. We will also discuss in this article the design and development of the solver which execute the MLRP method, this solver is the SMLRP that will be used to implement the proposed method on the different encountered industrial cases.

@article{Khayyam2019,
  title     = {Design and Development of an Industrial Solver for Integrated Planning of Production and Logistics},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {10},
  number    = {5},
  year      = {2019},
  publisher = {The Science and Information Organization},
  author    = {Yassine El Khayyam and Brahim Herrou},
  doi       = {10.14569/IJACSA.2019.0100532},
  url       = {https://doi.org/10.14569/IJACSA.2019.0100532}
}