Propuesta para redistribución en planta de la empacadora de la Finca Córdoba Bis, ubicada en la Zona Bananera-Magdalena

This research project proposes a plant redistribution design for the packing house of the Córdoba Bis farm, a company dedicated to the production and export of bananas. It consists of the diagnosis, analysis and identification of opportunities for improvement in the distribution in the current plant...

Full description

Autores:
Pardo Rodríguez, María José
Sánchez Campo, Andrea Marcela
Tipo de recurso:
Trabajo de grado de pregrado
Fecha de publicación:
2023
Institución:
Universidad Antonio Nariño
Repositorio:
Repositorio UAN
Idioma:
spa
OAI Identifier:
oai:repositorio.uan.edu.co:123456789/7741
Acceso en línea:
http://repositorio.uan.edu.co/handle/123456789/7741
Palabra clave:
Redistribución en planta, empacadora de banano, tiempos, método SLP, FlexSim.
Layout, banana packing plant, times, SLP method, FlexSim
Rights
openAccess
License
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Description
Summary:This research project proposes a plant redistribution design for the packing house of the Córdoba Bis farm, a company dedicated to the production and export of bananas. It consists of the diagnosis, analysis and identification of opportunities for improvement in the distribution in the current plant through a study of methods and times, and in the proposal of an improvement alternative applying the Guerchet and SLP method, in order to optimize the spaces. , increase material flow, reduce time and costs, and increase baler efficiency. The methodology is evaluated through a simulation in the FlexSim software; a program that allows you to build and run the developed model in a simulation within a 3D environment from scratch. Parameters obtained through RStudio were used in the simulation process, taking into account the improvements obtained by applying the SLP method. Finally, a scenario is proposed where the distances traveled by the operators, the spaces used and the percentages of inactivity of the operators are improved, projecting a reduction in bottlenecks, the optimization of the workforce, the reduction of the risk for the health and increased safety