Decision-making process for gluing on footwear parts using AHP and statistics

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In manufacturing processes, there are conditions that continually impact decision-making among when choosing among alternatives; the selection is usually influenced by critical aspects such as quality, productivity, costs and customer feedback, among others. This article analyzes different adhesives...

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Detalles Bibliográficos
Autor: Mares Castro, Armando
Formato: artículo
Fecha de Publicación:2023
Institución:Universidad de Lima
Repositorio:Revistas - Universidad de Lima
Lenguaje:español
OAI Identifier:oai:revistas.ulima.edu.pe:article/6130
Enlace del recurso:https://revistas.ulima.edu.pe/index.php/Ingenieria_industrial/article/view/6130
Nivel de acceso:acceso abierto
Materia:analytic hierarchy process
manufacturing processes
decision making
shoe industry
footwear
adhesives
productivity
proceso analítico jerárquico
procesos de fabricación
toma de decisiones
industria del calzado
calzado
adhesivos
productividad
Descripción
Sumario:In manufacturing processes, there are conditions that continually impact decision-making among when choosing among alternatives; the selection is usually influenced by critical aspects such as quality, productivity, costs and customer feedback, among others. This article analyzes different adhesives for the process of gluing parts for sports shoes in a company located in the city of Purisima del Rincon in Guanajuato, México. The analysis employs statistical engineering tools and an Analytic Hierarchy Process (AHP) methodology. The case studied deals with an issue with gluing parts. The glue currently employed is of good quality but has drawbacks such as its high cost and thickness, which leads to a time-consuming manual application, affecting productivity. We propose and apply an AHP model with input information obtained by means of industrial experimentation in order to select the best alternative. Objective and subjective judgments relate to the quality score, production capacity, ease of application, and utility per pair. The chosen alternative represented the best option after factoring in all aspects of interest for the overall goal.
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