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Universidad de Lima

Production model based on Lean Manufacturing and SLP to increase efficiency for a company in the metal mechanical sector

Abstract

dc:description.abstract

For a developing country like Peru with a rapidly growing manufacturing sector, the metal mechanic is one of the main driving forces because they provide machinery and tools for the rest of the sectors. However, this growth has been stopped by capacity limits and a wide range of troubles and delays that occur during the process, most of the Peruvian companies don’t have developed methodologies like the companies abroad whose production efficiency is good. As a response to this problem, we have developed a production model based on System Layout Planning and Lean manufacturing tools such as Total Productive Machine, 5S, and Kanban. As a result of implementing these methodologies, we have increased the efficiency of the system flow so that there won’t be too many delays and increase the productivity of the whole process.

Degree

thesis:*
Name thesis:degree_name
Ingeniero Industrial
Level thesis:degree_level
Titulo profesional
Discipline thesis:degree_discipline
Ingeniería Industrial
Grantor dc:publisher
Universidad de Lima
Year dc:date.issued
2025

Author and committee

dc:creator, dc:contributor.*
Authors dc:creator
  • Arroyo Vega, Rodrigo Manuel
  • Alegre Caballero, Jose Carlos
Advisor dc:contributor.advisor
  • Quiroz Flores, Juan Carlos

Rights

dc:rights
Language dc:language.iso
eng

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:repositorio.ulima.edu.pe:20.500.12724/24500

Chain of custody

source
Harvested from
Universidad de Lima
Base URL
repositorio.ulima.edu.pe/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Arroyo Vega, Rodrigo Manuel; Alegre Caballero, Jose Carlos. Production model based on Lean Manufacturing and SLP to increase efficiency for a company in the metal mechanical sector. Titulo profesional thesis, Universidad de Lima, 2025. https://hdl.handle.net/20.500.12724/24500