Implementing a novel use of multicriteria decision analysis to select IIoT platforms for smart manufacturing
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 ch...
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| Other Authors: | , , , |
| Format: | Artículo |
| Language: | spa |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://doi.org/10.3390/sym12030368 https://www.mdpi.com/2073-8994/12/3/368 |
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| Summary: | 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 |
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