{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,19]],"date-time":"2026-05-19T10:06:44Z","timestamp":1779185204944,"version":"3.51.4"},"reference-count":31,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2026,5,19]],"date-time":"2026-05-19T00:00:00Z","timestamp":1779148800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>As Industry 4.0 transforms manufacturing operations, maintenance organizations face a group decision-making problem: how to consolidate diverse expert judgments into a defensible, transparent ranking of the competencies that maintenance personnel most need. This paper applies an integrated Delphi\u2013AHP framework\u2014with explicit notation, operators, and diagnostics\u2014to prioritize maintenance competencies in advanced-manufacturing settings. The Delphi stage consolidates expert-generated items under median\u2013interquartile-range consensus and round-to-round stability rules, while the Analytic Hierarchy Process (AHP) transforms validated pairwise comparisons into ratio-scale priority weights through geometric-mean Aggregation of Individual Judgments (AIJ) and eigenvector derivation. Consistency screening (CI\/CR), inter-rater agreement (Kendall\u2019s W), and perturbation-based sensitivity analysis accompany the resulting weight vector. A bounded AI-assisted consistency-check step supports terminology harmonization during Delphi statement consolidation, subject to explicit human-validation constraints. A panel of fifteen industry experts participated in the study; five competency dimensions and twenty-nine indicators were retained through three Delphi rounds. AHP weighting identified Basic Knowledge and Skills as the highest-priority dimension, followed by Safety and Regulation Awareness and Problem-Solving Ability. Aggregated pairwise comparison matrices, local and global weights, and sensitivity results are reported to support reproducibility. The study contributes a rigorously specified application of combined Delphi\u2013AHP to a domain\u2014Industry 4.0 maintenance asset management\u2014where multi-criteria decision analysis has seen limited formal application, and closes common specification gaps in published Delphi\u2013AHP implementations.<\/jats:p>","DOI":"10.3390\/info17050500","type":"journal-article","created":{"date-parts":[[2026,5,19]],"date-time":"2026-05-19T08:55:28Z","timestamp":1779180928000},"page":"500","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Applying Integrated Delphi\u2013AHP to Maintenance Competency Prioritization in Industry 4.0: A Formally Specified Group Decision Framework with Consistency and Sensitivity Diagnostics"],"prefix":"10.3390","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4264-3146","authenticated-orcid":false,"given":"Chin-Wen","family":"Liao","sequence":"first","affiliation":[{"name":"Department of Electrical and Mechanical Technology, National Changhua University of Education, Changhua City 500108, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nguyen Van","family":"Thanh","sequence":"additional","affiliation":[{"name":"Department of Electrical and Mechanical Technology, National Changhua University of Education, Changhua City 500108, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi-Hsin","family":"Tai","sequence":"additional","affiliation":[{"name":"Department of Food and Beverage Management, Vanung University, No. 1, Wanneng Rd., Zhongli Dist., Taoyuan City 320676, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2026,5,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Madz\u00edk, P., and Fal\u00e1t, L. 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