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

Authors

Moreto Febre, Lesly Patricia

Clavijo Salas, Claudia Lucia

Castillo Martínez, Williams Esteward

Olivos Jimenez, Luis Marcelo

Miñan Olivos, Guillermo Segundo

Abstract

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.