Genetic algorithms for route optimization in the picking problem

Authors

  • Heriberto Casarrubias-Vargas UAEM Valle de México
  • Noé Vásquez-Godínez Centro Universitario UAEM Valle de México
  • Maribel Chavéz-Hernández
  • Gabriela Gaviño Ortiz

Keywords:

Genetic Algorithms, Picking Problem, Travel Time Optimization, Heuristic algorithms

Abstract

The picking problem is part of the item picking problem in a warehouse for a given order and is the most expensive in the process; Optimizing the item collection time is essential because it is a bottleneck in the service rate of orders fulfilled and has a significant impact on the efficiency of the supply chain. This work proposes a strategy to reduce the picking time by minimizing the route using  a genetic algorithm; a comparison is performed with other heuristic strategies in warehouses with different morphologies and considering orders of different sizes.

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Published

2021-05-01

How to Cite

Casarrubias-Vargas, H., V´ásquez-Godínez, N., Chavéz-Hernández, M., & Gaviño-Ortiz, G. . (2021). Genetic algorithms for route optimization in the picking problem. International Journal of Combinatorial Optimization Problems and Informatics, 12(2), 32–46. Retrieved from https://www.ijcopi.org/ojs/article/view/189

Issue

Vol. 12 No. 2 (2021)

Section

Articles