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Open AccessFeature PaperArticle

Implementing a Novel Use of Multicriteria Decision Analysis to Select IIoT Platforms for Smart Manufacturing

1
Department of Computer Science, ITCJ, Universidad Autonoma de Ciudad Juárez (UACJ), Ciudad Juárez 32310, Mexico
2
Instituto Tecnológico de Ciudad Juárez (ITCJ), Ciudad Juárez 32500, Mexico
3
Departamento de Ingeniería en Sistemas DIMEI-FI, Universidad Nacional Autonoma de Mexico (UNAM), Ciudad de México 04510, Mexico
*
Author to whom correspondence should be addressed.
Current address: Av. Tecnológico No. 1340 Fracc. El Crucero C.P. 32500 Ciudad Juárez, Chih, Mexico.
Symmetry 2020, 12(3), 368; https://doi.org/10.3390/sym12030368
Received: 4 February 2020 / Revised: 21 February 2020 / Accepted: 27 February 2020 / Published: 2 March 2020
(This article belongs to the Special Issue Uncertain Multi-Criteria Optimization Problems)
Industry 4.0 is having a great impact in all smart efforts. This is not a single product but is composed of several technologies, one of them being Industrial Internet of Things (IIoT). Currently, there are very varied implementation options offered by several companies, and this imposes a new challenge to companies that want to implement IIoT in their processes. This challenge suggests using multi-criteria analysis to make a repeatable and justified decision, requiring a set of alternatives and criteria. This paper proposes a new methodology and comprehensive criteria to help organizations to take an educated decision by applying multi-criteria analysis. Here, we suggest a new original use of PROMETHEE-II with a full example from weight calculation up to IIoT platform selection, showing this methodology as an effective study for other organizations interested in selecting an IIoT platform. The criteria proposed stands out from previous work by including not only technical aspects, but economic and social criteria, providing a full view of the problem analyzed. A case of study was used to prove this proposed methodology and finds the minimum subset to reach the best possible ranking. View Full-Text
Keywords: IoT; platform selection; multi criteria decision analysis (MCDA); AHP; PROMETHEE-II; Industry 4.0 IoT; platform selection; multi criteria decision analysis (MCDA); AHP; PROMETHEE-II; Industry 4.0
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MDPI and ACS Style

Contreras-Masse, R.; Ochoa-Zezzatti, A.; García, V.; Pérez-Dominguez, L.; Elizondo-Cortés, M. Implementing a Novel Use of Multicriteria Decision Analysis to Select IIoT Platforms for Smart Manufacturing. Symmetry 2020, 12, 368. https://doi.org/10.3390/sym12030368

AMA Style

Contreras-Masse R, Ochoa-Zezzatti A, García V, Pérez-Dominguez L, Elizondo-Cortés M. Implementing a Novel Use of Multicriteria Decision Analysis to Select IIoT Platforms for Smart Manufacturing. Symmetry. 2020; 12(3):368. https://doi.org/10.3390/sym12030368

Chicago/Turabian Style

Contreras-Masse, Roberto; Ochoa-Zezzatti, Alberto; García, Vicente; Pérez-Dominguez, Luis; Elizondo-Cortés, Mayra. 2020. "Implementing a Novel Use of Multicriteria Decision Analysis to Select IIoT Platforms for Smart Manufacturing" Symmetry 12, no. 3: 368. https://doi.org/10.3390/sym12030368

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