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Universidad de Lima

Production model based on Lean Manufacturing and BPM to reduce the rate of returns in SMEs of garment printing

Abstract

dc:description.abstract

Small and medium-sized companies in the textile sector have deficiencies in the production area. It happened because they do not have a standardized process and adequate machine maintenance management. For this reason, analyzing the initial diagnosis of an SME company dedicated to textile printing presented problems in design and printing. Based on this, this research developed a proposed model to reduce the return rate, improve work areas' organization, and optimize delivery times. The production model is developed based on the Lean BPM (Business Process Management) and TPM (Total Productive Management) tools through a 5s continuous improvement approach. The improvement proposal is validated in the Arena 14 software, reducing the failure rate of the machines and the rate of returns from 7.95% to 5.97%

Degree

thesis:*
Name thesis:degree_name
Ingeniero Industrial
Level thesis:degree_level
Título Profesional
Discipline thesis:degree_discipline
Ingeniería Industrial
Grantor dc:publisher
Universidad de Lima
Year dc:date.issued
2023

Author and committee

dc:creator, dc:contributor.*
Authors dc:creator
  • Carrasco Sayas, Jhoiser Luis
  • Alvarado Garay, Josselyn Carol
Advisor dc:contributor.advisor
  • Quiroz Flores, Juan Carlos

Subjects

dc:subject × 6

Rights

dc:rights
Statement dc:rights
  • info:eu-repo/semantics/openAccess
Language dc:language.iso
eng

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:repositorio.ulima.edu.pe:20.500.12724/19793

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
citation

Carrasco Sayas, Jhoiser Luis; Alvarado Garay, Josselyn Carol. Production model based on Lean Manufacturing and BPM to reduce the rate of returns in SMEs of garment printing. Título Profesional thesis, Universidad de Lima, 2023. https://hdl.handle.net/20.500.12724/19793