SME Productivity improve using six sigma and data mining tools

Jamblico Pacora, Luigi Flores, Jonatán Rojas, Steffano Reyes, Alexia Cáceres, Renzo Benavente

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Resumen

This research project aims to ease SME process control by using DMAIC (Lean Six Sigma). Three topics were applied: Lean Six Sigma, Data Mining, and Augmented Reality. All of this is assisted by the most advanced technology to date. SMEs have small processes and this is why Lean Six Sigma was applied to detect problems, measure, analyze and control. The Poka-Yoke tool works as a link between Data Mining tools and Augmented Reality. The Data Mining tool is the deep learning neuronal net (with more than one hidden layer). The neuronal net will learn the gauges formula and will show results based on the measurements. This tool is related to Lean Six Sigma as the net will show optimal results with controlled processes only. Augmented Reality eases data input for the gauges. Input data will be transmitted through AR cards which will be scanned by Smartphones. These AR cards become unique through the use of the Poka-Yoke tool The expected savings are S/. 6120. The project obtains an NPV of S/. 7811 and a COK of 15.24% which is enough to demonstra te the viability of the project.

Idioma originalInglés
Título de la publicación alojada20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology
Subtítulo de la publicación alojada"Education, Research and Leadership in Post-Pandemic Engineering: Resilient Inclusive and Sustainable Actions", LACCEI 2022
EditoresMaria M. Larrondo Petrie, Jose Texier, Andrea Pena, Jose Angel Sanchez Viloria
EditorialLatin American and Caribbean Consortium of Engineering Institutions
ISBN (versión digital)9786289520705
DOI
EstadoPublicada - 2022
Evento20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology, LACCEI 2022 - Boca Raton, Estados Unidos
Duración: 18 jul. 202222 jul. 2022

Serie de la publicación

NombreProceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
Volumen2022-July
ISSN (versión digital)2414-6390

Conferencia

Conferencia20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology, LACCEI 2022
País/TerritorioEstados Unidos
CiudadBoca Raton
Período18/07/2222/07/22

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