SME Productivity improve using six sigma and data mining tools

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

doi:10.18687/LACCEI2022.1.1.164

SME Productivity improve using six sigma and data mining tools

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

Sección de Ingeniería Industrial

Pontifical Catholic Univ. of Peru

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology
Subtitle of host publication	"Education, Research and Leadership in Post-Pandemic Engineering: Resilient Inclusive and Sustainable Actions", LACCEI 2022
Editors	Maria M. Larrondo Petrie, Jose Texier, Andrea Pena, Jose Angel Sanchez Viloria
Publisher	Latin American and Caribbean Consortium of Engineering Institutions
ISBN (Electronic)	9786289520705
DOIs	https://doi.org/10.18687/LACCEI2022.1.1.164
State	Published - 2022
Event	20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology, LACCEI 2022 - Boca Raton, United States Duration: 18 Jul 2022 → 22 Jul 2022

Publication series

Name	Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
Volume	2022-July
ISSN (Electronic)	2414-6390

Conference

Conference	20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology, LACCEI 2022
Country/Territory	United States
City	Boca Raton
Period	18/07/22 → 22/07/22

Keywords

Augmented reality
Data mining
SME Productivity
Six Sigma

Access to Document

10.18687/LACCEI2022.1.1.164

Cite this

Pacora, J., Flores, L., Rojas, J., Reyes, S., Cáceres, A., & Benavente, R. (2022). SME Productivity improve using six sigma and data mining tools. In M. M. Larrondo Petrie, J. Texier, A. Pena, & J. A. S. Viloria (Eds.), 20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology: "Education, Research and Leadership in Post-Pandemic Engineering: Resilient Inclusive and Sustainable Actions", LACCEI 2022 (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology; Vol. 2022-July). Latin American and Caribbean Consortium of Engineering Institutions. https://doi.org/10.18687/LACCEI2022.1.1.164

Pacora, Jamblico ; Flores, Luigi ; Rojas, Jonatán et al. / SME Productivity improve using six sigma and data mining tools. 20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology: "Education, Research and Leadership in Post-Pandemic Engineering: Resilient Inclusive and Sustainable Actions", LACCEI 2022. editor / Maria M. Larrondo Petrie ; Jose Texier ; Andrea Pena ; Jose Angel Sanchez Viloria. Latin American and Caribbean Consortium of Engineering Institutions, 2022. (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology).

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title = "SME Productivity improve using six sigma and data mining tools",

abstract = "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.",

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author = "Jamblico Pacora and Luigi Flores and Jonat{\'a}n Rojas and Steffano Reyes and Alexia C{\'a}ceres and Renzo Benavente",

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Pacora, J, Flores, L, Rojas, J, Reyes, S, Cáceres, A & Benavente, R 2022, SME Productivity improve using six sigma and data mining tools. in MM Larrondo Petrie, J Texier, A Pena & JAS Viloria (eds), 20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology: "Education, Research and Leadership in Post-Pandemic Engineering: Resilient Inclusive and Sustainable Actions", LACCEI 2022. Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology, vol. 2022-July, Latin American and Caribbean Consortium of Engineering Institutions, 20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology, LACCEI 2022, Boca Raton, United States, 18/07/22. https://doi.org/10.18687/LACCEI2022.1.1.164

SME Productivity improve using six sigma and data mining tools. / Pacora, Jamblico; Flores, Luigi; Rojas, Jonatán et al.
20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology: "Education, Research and Leadership in Post-Pandemic Engineering: Resilient Inclusive and Sustainable Actions", LACCEI 2022. ed. / Maria M. Larrondo Petrie; Jose Texier; Andrea Pena; Jose Angel Sanchez Viloria. Latin American and Caribbean Consortium of Engineering Institutions, 2022. (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology; Vol. 2022-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Benavente, Renzo

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AB - 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.

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Pacora J, Flores L, Rojas J, Reyes S, Cáceres A, Benavente R. SME Productivity improve using six sigma and data mining tools. In Larrondo Petrie MM, Texier J, Pena A, Viloria JAS, editors, 20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology: "Education, Research and Leadership in Post-Pandemic Engineering: Resilient Inclusive and Sustainable Actions", LACCEI 2022. Latin American and Caribbean Consortium of Engineering Institutions. 2022. (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology). doi: 10.18687/LACCEI2022.1.1.164

SME Productivity improve using six sigma and data mining tools

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Keywords

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