Transportation model for cost optimization in the aggregate planning of a fishing company

Lesly Patricia M.-F.; Claudia Lucia C.-S.; Williams Esteward C.-M.; Luis Marcelo O.-J.; Guillermo Segundo M.-O. · Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology (2022) · DOI: 10.18687/leird2022.1.1.65

Resumen

The general objective of this study was to apply a transportation model to optimize costs in the aggregate planning of a fishing company. The research was applied with a quantitative approach, seeking to determine whether a transportation model optimizes production costs in a fishing company. The research design was pre-experimental with pre-test and post-test. The results determined that the lowest mean percentage error was 30.1% and the lowest mean absolute error was 147.8 MT using a series decomposition with a multiplicative model. Likewise, conventional aggregate planning strategies were analyzed, obtaining a cost of $206,573.48 dollars for the leveling strategy, $195,091.7 dollars for the overtime strategy and $138,621.6 dollars for the demand tracking strategy, which was the lowest among all the heuristic strategies. Subsequently, a linear programming analysis with a transportation model was able to optimize costs, reaching an amount of $136,694 dollars. Therefore, it was concluded that the transportation model had a positive impact on the optimization of production costs of a fishing company.

Instituciones: Universidad Tecnológica del Perú; Universidad César Vallejo