{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T18:10:23Z","timestamp":1777486223631,"version":"3.51.4"},"reference-count":41,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2020,3,2]],"date-time":"2020-03-02T00:00:00Z","timestamp":1583107200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/sym12030368","type":"journal-article","created":{"date-parts":[[2020,3,2]],"date-time":"2020-03-02T07:50:53Z","timestamp":1583135453000},"page":"368","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":30,"title":["Implementing a Novel Use of Multicriteria Decision Analysis to Select IIoT Platforms for Smart Manufacturing"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9030-2456","authenticated-orcid":false,"given":"Roberto","family":"Contreras-Masse","sequence":"first","affiliation":[{"name":"Department of Computer Science, ITCJ, Universidad Autonoma de Ciudad Ju\u00e1rez (UACJ), Ciudad Ju\u00e1rez 32310, Mexico"},{"name":"Instituto Tecnol\u00f3gico de Ciudad Ju\u00e1rez (ITCJ), Ciudad Ju\u00e1rez 32500, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9183-6086","authenticated-orcid":false,"given":"Alberto","family":"Ochoa-Zezzatti","sequence":"additional","affiliation":[{"name":"Department of Computer Science, ITCJ, Universidad Autonoma de Ciudad Ju\u00e1rez (UACJ), Ciudad Ju\u00e1rez 32310, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2820-2918","authenticated-orcid":false,"given":"Vicente","family":"Garc\u00eda","sequence":"additional","affiliation":[{"name":"Department of Computer Science, ITCJ, Universidad Autonoma de Ciudad Ju\u00e1rez (UACJ), Ciudad Ju\u00e1rez 32310, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2541-4595","authenticated-orcid":false,"given":"Luis","family":"P\u00e9rez-Dominguez","sequence":"additional","affiliation":[{"name":"Department of Computer Science, ITCJ, Universidad Autonoma de Ciudad Ju\u00e1rez (UACJ), Ciudad Ju\u00e1rez 32310, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2032-8682","authenticated-orcid":false,"given":"Mayra","family":"Elizondo-Cort\u00e9s","sequence":"additional","affiliation":[{"name":"Departamento de Ingenier\u00eda en Sistemas DIMEI-FI, Universidad Nacional Autonoma de Mexico (UNAM), Ciudad de M\u00e9xico 04510, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,3,2]]},"reference":[{"key":"ref_1","first-page":"54","article-title":"Industry 4.0: The future of productivity and growth in manufacturing industries","volume":"9","author":"Lorenz","year":"2015","journal-title":"Boston Consult. 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