TY - GEN
T1 - Modelo de transporte para la optimización de costos en el planeamiento agregado de una empresa pesquera
AU - Lesly Patricia, Moreto Febre
AU - Claudia Lucia, Clavijo Salas
AU - Williams Esteward, Castillo Martínez
AU - Luis Marcelo, Olivos Jiménez
AU - Guillermo Segundo, Miñan Olivos
N1 - Publisher Copyright:
© 2022 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - aggregated planning
KW - costs
KW - linear programming
KW - optimal strategy
KW - production
UR - http://www.scopus.com/inward/record.url?scp=85150717181&partnerID=8YFLogxK
U2 - 10.18687/LEIRD2022.1.1.65
DO - 10.18687/LEIRD2022.1.1.65
M3 - Contribución a la conferencia
AN - SCOPUS:85150717181
T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
BT - Proceedings of the 2nd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development
A2 - Larrondo Petrie, Maria M.
A2 - Texier, Jose
A2 - Matta, Rodolfo Andres Rivas
PB - Latin American and Caribbean Consortium of Engineering Institutions
T2 - 2nd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development, LEIRD 2022
Y2 - 6 December 2022 through 7 December 2022
ER -