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    <completedDate>2024-09-25</completedDate>
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    <title language="eng">A data-oriented shopfloor management in the production context: a systematic literature review</title>
    <abstract language="eng">AbstractData not only plays an essential role in traditional shopfloor management, but it is also becoming even more important in Industry 4.0, particularly due to the increasing possibilities offered by new digital and data technologies and developments. In this context, the literature often refers to digital shopfloor management, the next generation shopfloor or other evolutionary synonyms. This raises the question of how to differentiate the content of data-oriented shopfloor management from digital shopfloor management. This paper discusses the state of the art — in terms of both data and digital perspectives — using a systematic literature review. Due to the complexity of the topic, three different levels of consideration — technology, organisation and people — are examined and discussed. Existing conceptual approaches are analysed in terms of conclusions and research gaps. It was found that the area of technology, including dedicated applications, is very well represented and researched in the literatur</abstract>
    <parentTitle language="eng">The International Journal of Advanced Manufacturing Technology</parentTitle>
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In this context, the literature often refers to digital shopfloor management, the next generation shopfloor or other evolutionary synonyms. This raises the question of how to differentiate the content of data-oriented shopfloor management from digital shopfloor management. This paper discusses the state of the art \u2014 in terms of both data and digital perspectives\u00a0\u2014\u00a0using a systematic literature review. Due to the complexity of the topic, three different levels of consideration\u00a0\u2014\u00a0technology, organisation and people\u00a0\u2014\u00a0are examined and discussed. Existing conceptual approaches are analysed in terms of conclusions and research gaps. It was found that the area of technology, including dedicated applications, is very well represented and researched in the literature. In comparison, there are larger research gaps in the other areas of organisation and people, which could be a possible reason for the lack of implementation of digital shopfloor management in practice. There is also a lack of holistic approaches that consider all three levels simultaneously and provide an overarching concept of maturity as a guideline, as well as taking into account the increasing trend towards value stream orientation. 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    <enrichment key="Fprofil">1 Energiewende und Dekarbonisierung / Energy Transition and Decarbonisation</enrichment>
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    <author>
      <firstName>Patrick</firstName>
      <lastName>Eichenseer</lastName>
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    <submitter>
      <firstName>Anne-Katrin</firstName>
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  </doc>
  <doc>
    <id>30517</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
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    <language>deu</language>
    <pageFirst>192</pageFirst>
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    <completedDate>2023-03-24</completedDate>
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    <title language="deu">Fehlerprognose in der Automobilmontage. Einsatz eines überwachten Lernalgorithmus zur fahrzeug- und stationsbezogenen Fehlerprognose</title>
    <abstract language="deu">Die Automobilmontage ist aktuell von der Produktvarianz und dem Faktor Mensch geprägt, sodass diese bisher – trotz zahlreicher präventiver Maßnahmen – nicht gänzlich fehlerfrei gestaltet werden konnte. Mit dem Ziel, jene Fehler prognostizieren zu können, wurde ein Klassifikationsmodell aus dem Bereich des überwachten maschinellen Lernens trainiert und über einen dreimonatigen Zeitraum validiert. Während dieses Zeitraums konnten rund 60 Prozent der relevanten Fehler korrekt vorhergesagt werden.</abstract>
    <parentTitle language="deu">Zeitschrift für wirtschaftlichen Fabrikbetrieb</parentTitle>
    <identifier type="doi">10.1515/zwf-2022-1042</identifier>
    <identifier type="issn">0947-0085</identifier>
    <identifier type="issn">0932-0482</identifier>
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    <enrichment key="Fprofil">1 Energiewende und Dekarbonisierung / Energy Transition and Decarbonisation</enrichment>
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    <author>
      <firstName>Tobias</firstName>
      <lastName>Huber</lastName>
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      <firstName>Anne-Katrin</firstName>
      <lastName>Meister</lastName>
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    <author>
      <firstName>Herwig</firstName>
      <lastName>Winkler</lastName>
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    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Automobilindustrie</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Automobilmontage</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Maschinelles Lernen</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Klassifikation</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Montagefehler</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Fehlervorhersage</value>
    </subject>
    <collection role="institutes" number="3407">FG Produktionswirtschaft</collection>
  </doc>
  <doc>
    <id>30519</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>368</pageFirst>
    <pageLast>389</pageLast>
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    <edition/>
    <issue>3</issue>
    <volume>44</volume>
    <type>articler</type>
    <publisherName/>
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    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2023-03-24</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Robustness in production systems – findings from a systematic literature review</title>
    <abstract language="eng">In production systems, the concept of robustness is widespread due to various applications, purposes, and interpretations. However, little is known about the conceptual characteristics of robustness in production settings and even less about its distinctions from other related terms – such as flexibility or agility. That is why this paper systematically reviews production literature to identify the contexts in which robustness is mostly applied and to analyse existing concepts. It is found that despite a vast literature body addressing robustness in varying forms, few studies cover it on a conceptual basis. Within this small sample, a rather general agreement on the meaning of robustness in production systems is found. However, details, interpretations, mentioned interlinkages to related terms differ across the identified literature. Based on the findings of the review and with the help of established literature on adjacent concepts, a comprehensive understanding of robustness in production systems is developed.</abstract>
    <parentTitle language="eng">International Journal of Services and Operations Management</parentTitle>
    <identifier type="url">https://www.inderscienceonline.com/doi/10.1504/IJSOM.2023.129462</identifier>
    <identifier type="doi">10.1504/IJSOM.2023.129462</identifier>
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    <identifier type="issn">1744-2389</identifier>
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    <author>
      <firstName>Christian</firstName>
      <lastName>Stockmann</lastName>
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    <submitter>
      <firstName>Anne-Katrin</firstName>
      <lastName>Meister</lastName>
    </submitter>
    <author>
      <firstName>Herwig</firstName>
      <lastName>Winkler</lastName>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>robustness</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>production management</value>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>production systems</value>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>operations management</value>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>flexibility</value>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>resilience</value>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>resistance</value>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>changeability</value>
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    <collection role="institutes" number="3407">FG Produktionswirtschaft</collection>
  </doc>
  <doc>
    <id>32436</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
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    <language>eng</language>
    <pageFirst>117</pageFirst>
    <pageLast>122</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>120</volume>
    <type>articler</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2024-01-12</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Blockchain Adoption in Product Lifecycle Management: Challenges and Potential Directions</title>
    <abstract language="eng">Blockchain is a leading-edge technology that has received great public attention in the past few years. Due to its eccentric features i.e. transparency, immutability and decentralization, blockchain intends to targets any domain that deals with transactional data. In production sectors, significant efforts are in progress to make use of this disruptive technology for efficient collaboration among stakeholders and management of their products lifecycles. However, despite positive feedback and great aspiration, certain challenges still exist over which the executive level management has great concern. In this regard, this study tries to highlight and focus on what are the potential challenges in blockchain technology adoption? and provide recommendations for how organization can address those challenges? Initially, we elaborate and classify the potential challenges into two categories i.e. key challenges specific to blockchain adoption in PLM and some further challenges that are generic in nature and applicable to most of the applications of blockchain. The study then scientifically argues for potential directions and solutions to address the key challenges. Afterward, the general-purpose challenges are explored and broken down into four different aspects i.e. technical, organizational, environmental &amp; social, and financial challenges. It is emphasized that both internal and external level decisions are need of the day to address these challenges. Finally, the evolution of a new era i.e. blockchain 5.0, its aims and capabilities to overcome the existing technical concerns has been discussed. Multiple Industrial sectors can follow the recommendation presented in this paper to setup their own secure and full-fledged blockchain-based PLM systems.</abstract>
    <parentTitle language="eng">Procedia CIRP</parentTitle>
    <identifier type="issn">2212-8271</identifier>
    <identifier type="doi">10.1016/j.procir.2023.08.022</identifier>
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    <enrichment key="Fprofil">1 Energiewende und Dekarbonisierung / Energy Transition and Decarbonisation</enrichment>
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    <author>
      <firstName>Mubashir</firstName>
      <lastName>Hayat</lastName>
    </author>
    <submitter>
      <firstName>Anne-Katrin</firstName>
      <lastName>Meister</lastName>
    </submitter>
    <author>
      <firstName>Herwig</firstName>
      <lastName>Winkler</lastName>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Blockchain Technology</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Product Lifecycle Management</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Potential Challenges</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Blockchain 5.0</value>
    </subject>
    <collection role="institutes" number="3407">FG Produktionswirtschaft</collection>
  </doc>
  <doc>
    <id>32437</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>559</pageFirst>
    <pageLast>564</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>120</volume>
    <type>articler</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
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    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2024-01-12</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">A new Instrument for Production Control: The Smart Order Concept</title>
    <abstract language="eng">Production control is an essential component of a production system used to monitor and manage production orders. Centrally controlled production systems rely on basic data management, such as storing the bill of materials and required work schedules. Components of customer orders are added to generate the corresponding production orders. However, this type of production control can pose serious problems in case of unforeseen events such as machine failure or changing customer requirements during production. In such scenarios, costly and time-consuming re-scheduling becomes necessary, which endangers the company's competitive position and leads to data retention issues. This paper introduces a new method of production control based on the concept of smart orders. Smart orders use smart contracts for autonomous routing based on programmed information in the source code, enabling self-control through the production system. Smart contracts are transaction programs that work with ‘if-then logic”, allowing for partially flexible process schedules and reducing the need for human intervention. The smart order uses the functionalities of blockchain technology, such as security, transparency, and immutability, to ensure the integrity of production data. The paper concludes by presenting the expected value propositions of smart order-based production control on the production system. Depending on the production control system used, companies can integrate the results presented in this paper into their own blockchain implementation strategy.</abstract>
    <parentTitle language="eng">Procedia CIRP</parentTitle>
    <identifier type="doi">10.1016/j.procir.2023.09.037</identifier>
    <identifier type="issn">2212-8271</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="Fprofil">1 Energiewende und Dekarbonisierung / Energy Transition and Decarbonisation</enrichment>
    <enrichment key="Fprofil">3 Globaler Wandel und Transformationsprozesse / Global Change and Transformation Processes</enrichment>
    <author>
      <firstName>Devis</firstName>
      <lastName>Bartsch</lastName>
    </author>
    <submitter>
      <firstName>Anne-Katrin</firstName>
      <lastName>Meister</lastName>
    </submitter>
    <author>
      <firstName>Herwig</firstName>
      <lastName>Winkler</lastName>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Smart Order</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Production Control</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Blockchain</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Smart Contract</value>
    </subject>
    <collection role="institutes" number="3407">FG Produktionswirtschaft</collection>
  </doc>
  <doc>
    <id>34615</id>
    <completedYear/>
    <publishedYear>2024</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1063</pageFirst>
    <pageLast>1077</pageLast>
    <pageNumber/>
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    <issue>6</issue>
    <volume>29</volume>
    <type>articler</type>
    <publisherName>Emerald</publisherName>
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    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2024-11-18</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Matching supply chain management challenges with blockchain applications</title>
    <abstract language="eng">Purpose&#13;
This study aims to explore the potential of blockchain technology in the field of supply chain management (SCM). The research is motivated by the emerging significance of blockchain as a disruptive technology that can potentially address a range of challenges faced by SCM professionals globally.&#13;
&#13;
Design/methodology/approach&#13;
In our approach, this paper utilized a knock-out criteria approach to break down 150 identified challenges in SCM to a more manageable number of 12. The Analytic Hierarchy Process (AHP) was then used to prioritize these challenges in order of their relative importance and suitability for resolution through blockchain.&#13;
&#13;
Findings&#13;
The analysis identified key challenges to be addressed by blockchain technology in SCM. Most notably, it highlighted concerns related to price stability and global financial flows, which closely intertwine. Another significant group of issues pertains to tracking, tracing and the demonstration of sustainability, thus suggesting a substantial potential for bl</abstract>
    <parentTitle language="eng">Supply Chain Management: An International Journal</parentTitle>
    <identifier type="doi">10.1108/SCM-12-2023-0615</identifier>
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    <abstract language="eng">Successful digital transformation, driven by structural changes resulting from climate change mitigation, requires a strategic approach to help organizations assess their current position in both digitalization and decarbonization efforts. Through expert focus groups, the “Digital Decarbonization Maturity Model” we developed in a previous study, has been upgraded. Additionally, measures and approaches have been identified within each dimension of the model. This model covers nine dimensions: decarbonization goals, business model innovation, customers and suppliers, products and services, employees, collaboration, processes and activities, data, and IT-infrastructure, -security and -technology, that present a holistic approach to reduce CO2 emissions in organizations. These dimensions are assessed against five maturity levels: beginner, adopter, integrator, innovator, and transformer, indicating various degrees of maturity  within each dimension. These levels provide a pathway from beginner to more advanced level with respect to adopting digital technologies for the decarbonization goal.</abstract>
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      <firstName>Herwig</firstName>
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    <title language="deu">Montage im Wandel : empirische Ergebnisse der Digitalisierung</title>
    <abstract language="deu">Die Montage bildet einen zentralen Bestandteil der industriellen Fertigung und ist traditionell von einem hohen Anteil manueller Arbeit geprägt. Unternehmen sehen in der Digitalisierung eine große wirtschaftliche Chance. Im Fokus steht dabei, die Produktivität der Mitarbeitenden zu steigern und gleichzeitig die Lohnstückkosten stabil zu halten. Die Nutzung innovativer Technologien wird deshalb immer wichtiger, um diese Ziele in der Montage umzusetzen</abstract>
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    <title language="eng">Produktionssteuerungsumgebungen und ihre (technischen) Probleme</title>
    <abstract language="eng">Technological development is leading to the emergence of new decentralized applications, such as decentralized production systems. Production systems require efficient production control for goal-oriented and resource-saving order processing. The environment in which the production control is implemented contributes significantly to its task fulfilment. This paper examines and analyses centralized and decentralized databases as well as edge and cloud computing as environments for production control. It additionally examines the potential of blockchain technology to solve the various problems of the presented production control environment</abstract>
    <parentTitle language="eng">Zeitschrift für wirtschaftlichen Fabrikbetrieb</parentTitle>
    <subTitle language="eng">Welches Potenzial bietet die Blockchain-Technologie?</subTitle>
    <identifier type="doi">10.1515/zwf-2024-1145</identifier>
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    <title language="eng">Co-innovation tools, mechanisms and methods : status quo and potentials</title>
    <abstract language="eng">Co-innovation and open innovation are approaches to innovation management that are designed to stimulate innovation in organizations. This study analyzes technical offline and online support tools that can aid co-innovation projects by identifying appropriate functionalities. A systematic literature review and analysis of co-innovation tools reveals a lack of support, particularly in the areas of (i) intellectual property management, (ii) compliance and legal management, (iii) planning and analysis management, and (iv) performance and monitoring management. Physical toolkits show advanced development in meeting the criteria, while software solutions lag behind. The findings highlight the need for comprehensive innovation support tools.</abstract>
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    <enrichment key="ConferenceTitle">58th CIRP Conference on Manufacturing Systems 2025</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>
      <firstName>Arian</firstName>
      <lastName>Lamann</lastName>
    </author>
    <submitter>
      <firstName>Anne-Katrin</firstName>
      <lastName>Meister</lastName>
    </submitter>
    <author>
      <firstName>Herwig</firstName>
      <lastName>Winkler</lastName>
    </author>
    <author>
      <firstName>Hans Rüdiger</firstName>
      <lastName>Lange</lastName>
    </author>
    <author>
      <firstName>Nizar</firstName>
      <lastName>Abdelkafi</lastName>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Innovation projects; Innovation management; Support tools</value>
    </subject>
    <collection role="institutes" number="3407">FG Produktionswirtschaft</collection>
  </doc>
  <doc>
    <id>35789</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>23</pageLast>
    <pageNumber>23</pageNumber>
    <edition/>
    <issue/>
    <volume>2025</volume>
    <type>articler</type>
    <publisherName>Springer</publisherName>
    <publisherPlace>Wiesbaden</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2025-04-28</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Data-oriented shopfloor management : an inductively developed holistic conceptual model</title>
    <abstract language="eng">Data plays a fundamental role in shopfloor management in order to make better decisions and increase efficiency throughout the production system. The idea of data-oriented shopfloor management has been discussed in the literature as an innovative concept, but unlike traditional or digital shopfloor management, it has not been conceptualised from a holistic perspective. For this reason, this paper used qualitative research in the form of expert interviews to collect holistic conceptual requirements for data-oriented shopfloor management. The data were analysed using the Gioia Methodology and transferred into a data structure to derive conceptual requirements at different levels of aggregation. On the basis of the empirical data, data-oriented shopfloor management was modelled, consisting of the system elements shopfloor, management approach with four subsystems and information system. Specifically, two conceptual models were developed for data-oriented shopfloor management as a distinction was made between episodic configuration and strategic adaptation and the persistent operating mode. Both conceptual models represent the reciprocal relationships and interdependencies of the system elements within data-oriented shopfloor management. Looking to the future, this paper provides the basis for further research to refine the conceptual models based on the empirically collected conceptual requirements with a higher level of detail.</abstract>
    <parentTitle language="eng">The international journal of advanced manufacturing technology</parentTitle>
    <identifier type="url">https://link.springer.com/article/10.1007/s00170-025-15571-2</identifier>
    <identifier type="doi">10.1007/s00170-025-15571-2</identifier>
    <identifier type="issn">1433-3015</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="Publikationsweg">Open Access</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>
      <firstName>Patrick</firstName>
      <lastName>Eichenseer</lastName>
    </author>
    <submitter>
      <firstName>Anne-Katrin</firstName>
      <lastName>Meister</lastName>
    </submitter>
    <author>
      <firstName>Herwig</firstName>
      <lastName>Winkler</lastName>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Data · Shopfloor · Production · Management concept · Industry 4.0 · Empirical study</value>
    </subject>
    <collection role="institutes" number="3407">FG Produktionswirtschaft</collection>
  </doc>
  <doc>
    <id>36419</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>76</pageFirst>
    <pageLast>81</pageLast>
    <pageNumber>6</pageNumber>
    <edition/>
    <issue/>
    <volume>263</volume>
    <type>articler</type>
    <publisherName>Elsevier BV</publisherName>
    <publisherPlace>Amsterdam</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2025-08-14</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">A SWOT analysis approach for assessing the sustainable transition in the coal energy sector in Germany</title>
    <abstract language="eng">The coal energy sector plays a significant role within the German economy, providing a key source of growth and energy supply. However, it is also a major contributor to climate change. In order to address this issue, Germany has adopted a policy to phase-out coal by 2038 at the latest. This paper employs a SWOT (strengths, weaknesses, opportunities, and threats) analysis approach to evaluate the sustainable transition of Germany's coal energy sector. A case study using semi-structured interviews with key actors was conducted in the second largest mining region in Germany, the Lusatia region. The analysis shows that the strengths of the area include its energy expertise, existing infrastructure with renewable energy potential, and availability of land for industrial development and settlement. However, dependence on lignite, internal resistance to change, lack of competence in digital technologies, and complex bureaucracy for implementing new projects represent some of the key weaknesses that companies must address in order to succeed. Some opportunities arise from the structural changes currently occurring, highlighting the potential of a growing renewable energy market and the development of innovative business models, as well as the creation of new employment opportunities and the enhancement of the region's attractiveness for global corporations. Nevertheless, a number of factors present a threat to the sustainable transition, including concerns about energy security, high green fuel costs, social resistance, a shortage of skilled labor, labor migration, and the loss of cooperation partners.</abstract>
    <parentTitle language="eng">Procedia computer science</parentTitle>
    <identifier type="issn">1877-0509</identifier>
    <identifier type="doi">10.1016/j.procs.2025.07.010</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="Publikationsweg">Open Access</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">false</enrichment>
    <licence>Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International</licence>
    <author>
      <firstName>Tamer</firstName>
      <lastName>Abdulghani</lastName>
    </author>
    <submitter>
      <firstName>Tamer</firstName>
      <lastName>Abdulghani</lastName>
    </submitter>
    <author>
      <firstName>Herwig</firstName>
      <lastName>Winkler</lastName>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Sustainable Transition</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Sustainability</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Energy Sector</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Coal Phase-out</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Decarbonization</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>SWOT Analysis</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Energy Value Chain</value>
    </subject>
    <collection role="institutes" number="3407">FG Produktionswirtschaft</collection>
  </doc>
  <doc>
    <id>36590</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>648</pageFirst>
    <pageLast>653</pageLast>
    <pageNumber>6</pageNumber>
    <edition/>
    <issue/>
    <volume>136</volume>
    <type>articler</type>
    <publisherName>Elsevier B.V.</publisherName>
    <publisherPlace>Amsterdam</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation>College International pour la Recherche en Productique (CIRP)</contributingCorporation>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2025-10-20</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Extended reality for process visualization in cloud manufacturing : a systematic review</title>
    <abstract language="eng">The advent of cloud-based processes represents a novel opportunity within the manufacturing industry. However, a lack of common understanding of integration persists. The virtualization of manufacturing and logistics processes provides the foundation for subsequent stages of visualization. Conversely, the visualization of processes facilitates a deeper comprehension of the value streams involved, thereby enabling improvements to be made. In this regard, the objective of this research is to assess process virtualization techniques in cloud manufacturing, with a particular focus on existing academic literature in the field. Consequently, this investigation also encompasses an exploration of immersive visualization techniques in cloud manufacturing environments. For the purpose of this research, a systematic literature review is conducted in the SCOPUS, Web of Science, and Science Direct databases. Various methods and implications for the virtualization of cloud manufacturing processes available in the literature are identified, analyzed, and summarized. Furthermore, the potential for visualizing data related to cloud manufacturing processes in extended reality is also investigated. The findings of this research offer scientists the prospect of further investigation into the cloud manufacturing paradigm, for example in the context of virtual learning factories.</abstract>
    <parentTitle language="eng">Procedia CIRP</parentTitle>
    <identifier type="doi">10.1016/j.procir.2025.08.111</identifier>
    <identifier type="issn">2212-8271</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="Publikationsweg">Open Access</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="ConferencePlace">Patras, Greece</enrichment>
    <enrichment key="ConferenceTitle">35th CIRP Design Conference</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">false</enrichment>
    <licence>Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International</licence>
    <author>
      <firstName>Kevin</firstName>
      <lastName>Thomas</lastName>
    </author>
    <editor>
      <firstName>Dimitris</firstName>
      <lastName>Mourtzis</lastName>
    </editor>
    <submitter>
      <firstName>Kevin</firstName>
      <lastName>Thomas</lastName>
    </submitter>
    <author>
      <firstName>Herwig</firstName>
      <lastName>Winkler</lastName>
    </author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Cloud manufacturing</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Web-based manufacturing</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Virtualization</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Extended reality</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Literature review</value>
    </subject>
    <collection role="institutes" number="3407">FG Produktionswirtschaft</collection>
  </doc>
  <doc>
    <id>37275</id>
    <completedYear/>
    <publishedYear>2026</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>15</pageFirst>
    <pageLast>27</pageLast>
    <pageNumber>13</pageNumber>
    <edition/>
    <issue>1</issue>
    <volume>22</volume>
    <type>articler</type>
    <publisherName>Wyzsza Szkola Logistyki</publisherName>
    <publisherPlace>Poznan</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2026-01-12</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Assessing the maturity of digital decarbonization in the manufacturing sector</title>
    <abstract language="eng">Organizations face the challenge of making strategic decisions to build a carbon-neutral and competitive future through the adoption of digital technologies. This pressure arises from rapidly evolving global market conditions and the need to achieve required emission reductions. For a successful deployment of Industry 4.0 technologies to support decarbonization, it is crucial for organizations to assess their competencies and establish a clear path forward. Digital maturity models are effective frameworks for measuring an organization's digital capabilities, and several such models have been developed. However, existing models often overlook environmental dimensions, focusing primarily on profit-driven growth. To address this gap, a Digital Decarbonization Maturity Model has been developed. This paper aims to evaluate the model’s effectiveness and applicability by assessing the current state of digital decarbonization within organizations and identifying opportunities for advancement, drawing on empirical insights from a focus group.</abstract>
    <parentTitle language="eng">LogForum : scientific journal of logistics</parentTitle>
    <identifier type="issn">1734-459X</identifier>
    <identifier type="doi">10.17270/J.LOG.001282</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="Publikationsweg">Open Access</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">false</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>
      <firstName>Tamer</firstName>
      <lastName>Abdulghani</lastName>
    </author>
    <submitter>
      <firstName>Tamer</firstName>
      <lastName>Abdulghani</lastName>
    </submitter>
    <author>
      <firstName>Herwig</firstName>
      <lastName>Winkler</lastName>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Digital decarbonization</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Maturity model</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Manufacturing sector</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Case study</value>
    </subject>
    <collection role="institutes" number="3407">FG Produktionswirtschaft</collection>
  </doc>
  <doc>
    <id>37955</id>
    <completedYear/>
    <publishedYear>2026</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1859</pageFirst>
    <pageLast>1868</pageLast>
    <pageNumber>10</pageNumber>
    <edition/>
    <issue/>
    <volume>277</volume>
    <type>articler</type>
    <publisherName>Elsevier BV</publisherName>
    <publisherPlace>Amsterdam</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2026-03-23</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">The role of information sharing in supply chain collaboration : impacts and emerging opportunities</title>
    <abstract language="eng">Effective supply chain management is essential for competitive advantage in an increasingly complex global marketplace, and information sharing between partners is becoming a strategic necessity. This paper aims to investigate information sharing practices within the supply chain of the fast-moving consumer goods sector. Specifically, it explores the challenges associated with these practices and their influence on collaboration among partners. Additionally, it analyzes the practical effects of technology and Industry 4.0 on these processes, emphasizing their impact on enhancing or reconfiguring supply chain collaboration. As a methodological approach, semi-structured interviews were conducted with three key supply chain actors: a supplier, a logistics service provider, and a retailer. The Gioia method was employed to analyze the interview data, thereby generating a meaningful data structure. This resulted in a conceptual model demonstrating the relationship between information sharing and collaborative supply chain performance, providing practical insights for enhancing integration.</abstract>
    <parentTitle language="eng">Procedia computer science</parentTitle>
    <identifier type="issn">1877-0509</identifier>
    <identifier type="doi">10.1016/j.procs.2026.02.224</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">false</enrichment>
    <licence>Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International</licence>
    <author>
      <firstName>Tamer</firstName>
      <lastName>Abdulghani</lastName>
    </author>
    <submitter>
      <firstName>Tamer</firstName>
      <lastName>Abdulghani</lastName>
    </submitter>
    <author>
      <firstName>Oguzkan</firstName>
      <lastName>Tugra Yilmaz</lastName>
    </author>
    <author>
      <firstName>Herwig</firstName>
      <lastName>Winkler</lastName>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Information sharing</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Supply chain collaborations</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Opportunities</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Conceptual model</value>
    </subject>
    <collection role="institutes" number="3407">FG Produktionswirtschaft</collection>
  </doc>
  <doc>
    <id>37973</id>
    <completedYear/>
    <publishedYear>2026</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>2495</pageFirst>
    <pageLast>2504</pageLast>
    <pageNumber>10</pageNumber>
    <edition/>
    <issue/>
    <volume>277</volume>
    <type>articler</type>
    <publisherName>Elsevier BV</publisherName>
    <publisherPlace>Amsterdam</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2026-03-25</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">AI-based maintenance order planning and control of trains : status quo and conceptual considerations</title>
    <abstract language="eng">Maintenance of trains has a major impact on their availability, safety and cost-effectiveness. To date, planning-intensive processes in train maintenance workshops have been carried out with traditional static planning systems. While these systems have provided a foundation for organizing maintenance work, they are unable to generate optimized maintenance programs. As a result, unplanned additional tasks frequently arise during the actual execution of the maintenance operations, thereby disrupting workflows in maintenance workshops and reducing both economic and operational efficiency. It has been demonstrated that such disruptions often lead to increased maintenance costs, longer lead times, and reduced plant efficiency. Therefore, there is a growing need to shift from static to more dynamic, data-driven approaches for maintenance planning and control in the railway sector. Artificial Intelligence (AI) offers significant potential in this regard, as it facilitates the development of predictive capabilities, dynamic scheduling, and intelligent resource allocation. To this aim, this work presents a conceptual framework designed to enhance maintenance order planning and control in train maintenance workshops. The proposed framework serves as a foundational model for utilizing the AI technologies to reduce inefficiencies, improve scheduling, and ultimately support timely and cost-effective maintenance planning and control strategies for trains. The framework remains conceptual at this stage, which is the main limitation of the work; however, as future work, its practical effectiveness will be explored through implementation in trains maintenance workshop and empirical validation.</abstract>
    <parentTitle language="eng">Procedia computer science</parentTitle>
    <identifier type="doi">10.1016/j.procs.2026.02.286</identifier>
    <identifier type="issn">1877-0509</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">false</enrichment>
    <licence>Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International</licence>
    <author>
      <firstName>Mubashir</firstName>
      <lastName>Hayat</lastName>
    </author>
    <submitter>
      <firstName>Mubashir</firstName>
      <lastName>Hayat</lastName>
    </submitter>
    <author>
      <firstName>Moritz</firstName>
      <lastName>Rüster</lastName>
    </author>
    <author>
      <firstName>Herwig</firstName>
      <lastName>Winkler</lastName>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Artificial intelligence</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Maintenance planning</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Maintenance control</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Conceptual framework</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Train maintenance</value>
    </subject>
    <collection role="institutes" number="3407">FG Produktionswirtschaft</collection>
  </doc>
</export-example>
