A stochastic, multi-commodity multi-period inventory-location problem: Modeling and solving an industrial application

Mauricio Orozco-Fontalvo, Víctor Cantillo, Pablo A. Miranda

Resultado de la investigación: Contribución a los tipos de informe/libroContribución a la conferenciarevisión exhaustiva

Resumen

This paper addresses the real-world supply chain network design problem with a strategic multi-commodity and multi-period inventory-location problem with stochastic demands. The proposed methodology involves a complex non-linear, non-convex, mixed integer programming model, which allows for the optimization of warehouse location, demand zone’s assignment, and manufacturing settings while minimizing the fixed costs of a distribution center (DC), along with the transportation and inventory costs in a multi-commodity, multi-period scenario. In addition, a genetic algorithm is implemented to obtain near-optimal solutions at competitive times. We applied the model to a real-world industrial case of a Colombian rolled steel manufacturing company, where a new, optimized supply chain distribution network is required to serve customers at a national level. The proposed approach provides a practical solution to optimize their distribution network, achieving significant cost reductions for the company.

Idioma originalInglés
Título de la publicación alojadaComputational Logistics - 10th International Conference, ICCL 2019, Proceedings
EditoresCarlos Paternina-Arboleda, Stefan Voß
EditorialSpringer
Páginas317-331
Número de páginas15
ISBN (versión impresa)9783030311391
DOI
EstadoPublicada - 1 ene 2019
Evento10th International Conference on Computational Logistics, ICCL 2019 - Barranquilla, Colombia
Duración: 30 sep 20192 oct 2019

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen11756 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia10th International Conference on Computational Logistics, ICCL 2019
País/TerritorioColombia
CiudadBarranquilla
Período30/09/192/10/19

Áreas temáticas de ASJC Scopus

  • Ciencia computacional teórica
  • Informática (todo)

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