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<titleInfo><title>Extended Exploitation of Data in Manufacturing Companies for Strategic Decision-Making</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">Deniz</namePart>
  <namePart type="family">Özcan</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">58595</identifier></name>







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<name type="conference">
  <namePart>8th International Conference on Human Systems Engineering and Design (IHSED2024): Future Trends and Applications</namePart>
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<abstract lang="eng">&lt;jats:p&gt;For foresightful strategic decisions in engineering and production, it is important to identify and classify operational engineering data inmanufacturing companies in terms of relevance and impact. Established methods like Scenario-Technique or roadmapping consider expertise of strategic decision-makers and central decision-making bodies by, for instance, workshops and interviews. There is no overarching approach for evaluating the variety of operational data sources and feed them into specific data processing pipelines targeting strategic decision support. Based on a systematic literature analysis and comprehensive industrial experience, requirements are derived. These requirements are used to develop a method to identify, classify and evaluate data for strategic decision-making. The method is validated in an industrial project. The aim is to exploit informal and fragmented data from operational levels into structured, transparent decision support for strategic players.&lt;/jats:p&gt;</abstract>

<originInfo><publisher>AHFE International</publisher><dateIssued encoding="w3cdtf">2026</dateIssued><place><placeTerm type="text">Paris</placeTerm></place>
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<language><languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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<relatedItem type="host"><titleInfo><title>AHFE International</title></titleInfo>
  <identifier type="issn">2771-0718</identifier><identifier type="doi">10.54941/ahfe1008175</identifier>
<part><detail type="volume"><number>237</number></detail>
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<short>I. Gräßler, D. Özcan, in: AHFE International, AHFE International, 2026.</short>
<chicago>Gräßler, Iris, and Deniz Özcan. “Extended Exploitation of Data in Manufacturing Companies for Strategic Decision-Making.” In &lt;i&gt;AHFE International&lt;/i&gt;, Vol. 237. AHFE International, 2026. &lt;a href=&quot;https://doi.org/10.54941/ahfe1008175&quot;&gt;https://doi.org/10.54941/ahfe1008175&lt;/a&gt;.</chicago>
<apa>Gräßler, I., &amp;#38; Özcan, D. (2026). Extended Exploitation of Data in Manufacturing Companies for Strategic Decision-Making. &lt;i&gt;AHFE International&lt;/i&gt;, &lt;i&gt;237&lt;/i&gt;. &lt;a href=&quot;https://doi.org/10.54941/ahfe1008175&quot;&gt;https://doi.org/10.54941/ahfe1008175&lt;/a&gt;</apa>
<ieee>I. Gräßler and D. Özcan, “Extended Exploitation of Data in Manufacturing Companies for Strategic Decision-Making,” in &lt;i&gt;AHFE International&lt;/i&gt;, Paris, 2026, vol. 237, doi: &lt;a href=&quot;https://doi.org/10.54941/ahfe1008175&quot;&gt;10.54941/ahfe1008175&lt;/a&gt;.</ieee>
<ama>Gräßler I, Özcan D. Extended Exploitation of Data in Manufacturing Companies for Strategic Decision-Making. In: &lt;i&gt;AHFE International&lt;/i&gt;. Vol 237. AHFE International; 2026. doi:&lt;a href=&quot;https://doi.org/10.54941/ahfe1008175&quot;&gt;10.54941/ahfe1008175&lt;/a&gt;</ama>
<bibtex>@inproceedings{Gräßler_Özcan_2026, title={Extended Exploitation of Data in Manufacturing Companies for Strategic Decision-Making}, volume={237}, DOI={&lt;a href=&quot;https://doi.org/10.54941/ahfe1008175&quot;&gt;10.54941/ahfe1008175&lt;/a&gt;}, booktitle={AHFE International}, publisher={AHFE International}, author={Gräßler, Iris and Özcan, Deniz}, year={2026} }</bibtex>
<mla>Gräßler, Iris, and Deniz Özcan. “Extended Exploitation of Data in Manufacturing Companies for Strategic Decision-Making.” &lt;i&gt;AHFE International&lt;/i&gt;, vol. 237, AHFE International, 2026, doi:&lt;a href=&quot;https://doi.org/10.54941/ahfe1008175&quot;&gt;10.54941/ahfe1008175&lt;/a&gt;.</mla>
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