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<titleInfo><title>COMPETENCY PROFILES FOR THE USE  OF PREDICTIVE MAINTENANCE IN SMES</title></titleInfo>


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<name type="personal">
  <namePart type="given">Iris</namePart>
  <namePart type="family">Gräßler</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">47565</identifier><description xsi:type="identifierDefinition" type="orcid">0000-0001-5765-971X</description></name>
<name type="personal">
  <namePart type="given">Marcel</namePart>
  <namePart type="family">Niemeyer</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">68576</identifier></name>



<name type="personal"><namePart type="given">Jose David Nunez</namePart><namePart type="family">Gonzalez</namePart>
  <role> <roleTerm type="text">editor</roleTerm> </role></name>
<name type="personal"><namePart type="given">Manuel Grana</namePart><namePart type="family">Romay</namePart>
  <role> <roleTerm type="text">editor</roleTerm> </role></name>




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  <namePart> 24th Industrial Simulation Conference 2026</namePart>
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<abstract lang="eng">Predictive Maintenance is a key element of data-driven maintenance strategies in Industry 4.0. It promises improved asset availability and operational efficiency. In addition to data analytics and machine learning, simulation-based assessment and digital representations of production systems increasingly complement Predictive Maintenance by enabling the evaluation of maintenance decisions and failure risks before physical intervention. However, small and medium-sized enterprises (SMEs) often face challenges in realizing these benefits due to insufficient employee competencies across all domains. As a prerequisite, a clear understanding of competency gaps that hinder employees to use relevant key technologies such as artificial intelligence and data analytics is needed. This paper presents competency profiles that define relevant competencies for the use of simulation-based Predictive Maintenance and map these competencies to relevant roles that need them. The study is based on a systematic literature review about competencies for digitalization processes in industry focusing on maintenance and, more specifically, data technologies in maintenance. The competency profile is validated through a Delphi-Study with industry representatives assessing the identified competency levels. The results support a more holistic understanding of Predictive Maintenance and provide guidance for targeted competency development in SMEs.</abstract>

<originInfo><dateIssued encoding="w3cdtf">2026</dateIssued><place><placeTerm type="text">San Sebastian, Spain</placeTerm></place>
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<language><languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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<subject><topic>Predictive Maintenance</topic><topic>Artificial Intelligence</topic><topic>Data Processing</topic><topic>Competencies</topic><topic>Role Profiles</topic>
</subject>


<relatedItem type="host"><titleInfo><title>24th INTERNATIONAL INDUSTRIAL SIMULATION CONFERENCE</title></titleInfo>
  <identifier type="isbn"> 978-9-492859-40-2</identifier>
<part><detail type="volume"><number>24</number></detail><extent unit="pages">91-97</extent>
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<bibliographicCitation>
<short>I. Gräßler, M. Niemeyer, in: J.D.N. Gonzalez, M.G. Romay, EUROSIS-ETI (Eds.), 24th INTERNATIONAL INDUSTRIAL SIMULATION CONFERENCE, 2026, pp. 91–97.</short>
<chicago>Gräßler, Iris, and Marcel Niemeyer. “COMPETENCY PROFILES FOR THE USE  OF PREDICTIVE MAINTENANCE IN SMES.” In &lt;i&gt;24th INTERNATIONAL INDUSTRIAL SIMULATION CONFERENCE&lt;/i&gt;, edited by Jose David Nunez Gonzalez, Manuel Grana Romay, and EUROSIS-ETI, 24:91–97, 2026.</chicago>
<ieee>I. Gräßler and M. Niemeyer, “COMPETENCY PROFILES FOR THE USE  OF PREDICTIVE MAINTENANCE IN SMES,” in &lt;i&gt;24th INTERNATIONAL INDUSTRIAL SIMULATION CONFERENCE&lt;/i&gt;, San Sebastian, Spain, 2026, vol. 24, pp. 91–97.</ieee>
<apa>Gräßler, I., &amp;#38; Niemeyer, M. (2026). COMPETENCY PROFILES FOR THE USE  OF PREDICTIVE MAINTENANCE IN SMES. In J. D. N. Gonzalez, M. G. Romay, &amp;#38; EUROSIS-ETI (Eds.), &lt;i&gt;24th INTERNATIONAL INDUSTRIAL SIMULATION CONFERENCE&lt;/i&gt; (Vol. 24, pp. 91–97).</apa>
<bibtex>@inproceedings{Gräßler_Niemeyer_2026, title={COMPETENCY PROFILES FOR THE USE  OF PREDICTIVE MAINTENANCE IN SMES}, volume={24}, booktitle={24th INTERNATIONAL INDUSTRIAL SIMULATION CONFERENCE}, author={Gräßler, Iris and Niemeyer, Marcel}, editor={Gonzalez, Jose David Nunez and Romay, Manuel Grana and EUROSIS-ETI}, year={2026}, pages={91–97} }</bibtex>
<ama>Gräßler I, Niemeyer M. COMPETENCY PROFILES FOR THE USE  OF PREDICTIVE MAINTENANCE IN SMES. In: Gonzalez JDN, Romay MG, EUROSIS-ETI, eds. &lt;i&gt;24th INTERNATIONAL INDUSTRIAL SIMULATION CONFERENCE&lt;/i&gt;. Vol 24. ; 2026:91-97.</ama>
<mla>Gräßler, Iris, and Marcel Niemeyer. “COMPETENCY PROFILES FOR THE USE  OF PREDICTIVE MAINTENANCE IN SMES.” &lt;i&gt;24th INTERNATIONAL INDUSTRIAL SIMULATION CONFERENCE&lt;/i&gt;, edited by Jose David Nunez Gonzalez et al., vol. 24, 2026, pp. 91–97.</mla>
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