Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

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

Roberto Contreras-Masse
* ORCID logo ,
Alberto Ochoa-Zezzatti
ORCID logo ,
Vicente García
ORCID logo ,
Luis Perez-Dominguez
ORCID logo ,
Mayra Elizondo
Version 1 : Received: 18 February 2020 / Approved: 19 February 2020 / Online: 19 February 2020 (04:02:12 CET)

A peer-reviewed article of this Preprint also exists.

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

Abstract

Industry 4.0 is having a great impact in all smart efforts. This is not a single product, but is composed of several technologies, being one of them 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 IoT in their processes. This challenge suggests to use 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 full example from weight calculation up to IoT platform selection, showing this methodology as an effective study for other organizations interested to select an IoT platform. The criteria proposed outstands 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.

Keywords

IIoT; Platform Selection; Multi criteria analysis; MCDA; AHP; PROMETHEE-II; Cloud; Methodology

Subject

Computer Science and Mathematics, Analysis

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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