Bibliographic citations
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Lau, S., Tejada, S. (2023). Application of lean tools to reduce waste in an organic mango exporting company: an investigation in Peru [Universidad de Lima]. https://hdl.handle.net/20.500.12724/18217
Lau, S., Tejada, S. Application of lean tools to reduce waste in an organic mango exporting company: an investigation in Peru []. PE: Universidad de Lima; 2023. https://hdl.handle.net/20.500.12724/18217
@misc{renati/236386,
title = "Application of lean tools to reduce waste in an organic mango exporting company: an investigation in Peru",
author = "Tejada Avila, Sofia Yasmin",
publisher = "Universidad de Lima",
year = "2023"
}
Title: Application of lean tools to reduce waste in an organic mango exporting company: an investigation in Peru
Authors(s): Lau Suarez, Sebastian; Tejada Avila, Sofia Yasmin
Advisor(s): Flores Pérez, Alberto Enrique
Keywords: Empresas exportadoras; Mangos; Residuos agrícolas; Industria agrícola; Producción eficiente; Estándares de desempeño; Export trading companies; Mango; Agricultural wastes; Agricultural industries; Lean manufacturing; Performance standards
OCDE field: https://purl.org/pe-repo/ocde/ford#2.11.04
Issue Date: 2023
Institution: Universidad de Lima
Abstract: Today, the agro-industrial sector has experienced a boom in its growth, especially in fruits and vegetables, and with it the customer’s demand. One of the most requested conditions by users are the product quality and services offered. Therefore, it is essential to identify all the processes and activities that follow each of the materials along the supply chain. To have better inventories control, it is necessary to have an efficient traceability system that ensures accurate products tracking. The proposed model was based on four lean manufacturing techniques: Jidoka, Kanban, Visual Control, and Standardized Work to improve the inputs search time and, consequently, reduce product losses that currently represent 2.06% of net profit. With the tools used we were able to reduce labeling errors by 2%, excess pallets decreased by 0.72% and the search time for a product was reduced to 4.5 hours/day, saving 1.21 hours a day.
Link to repository: https://hdl.handle.net/20.500.12724/18217
Discipline: Ingeniería Industrial
Grade or title grantor: Universidad de Lima. Facultad de Ingeniería y Arquitectura
Grade or title: Ingeniero Industrial
Juror: Collao Diaz, Martin Fidel; Flores Pérez, Alberto Enrique; Quiroz Flores, Juan Carlos
Register date: 19-May-2023
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