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        <title>kerostig | Tag : manufacturing</title>
        <link>https://kerostig.org/tag/manufacturing/</link>
        <description>Derniers appels à publications avec le tag 'manufacturing'.</description>
        <lastBuildDate>Mon, 05 Oct 2026 10:15:16 GMT</lastBuildDate>
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            <title>kerostig | Tag : manufacturing</title>
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            <link>https://kerostig.org/tag/manufacturing/</link>
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        <copyright>Notices : kerostig © 2026. Le texte des appels appartient à leurs éditeurs.</copyright>
        <item>
            <title><![CDATA[AI for Manufacturing – From Theories to Applications]]></title>
            <link>https://kerostig.org/call/elsevier-sme-tri-journal-combined-ai-for-manufacturing-from-theories-to-applications-journal-of-manufacturing-systems/</link>
            <guid>elsevier-sme-tri-journal-combined-ai-for-manufacturing-from-theories-to-applications-journal-of-manufacturing-systems</guid>
            <pubDate>Sat, 26 Sep 2026 22:23:50 GMT</pubDate>
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    <p>This special issue in the Journal of Manufacturing Systems invites submissions on artificial intelligence applications in manufacturing contexts, bridging theoretical frameworks with practical implementation and real-world deployment across industrial settings.</p>
    
    <p>
        Appel publié par Journal of Manufacturing Systems.
        
        <a href="https://www.sciencedirect.com/special-issue/337380/sme-tri-journal-combined-special-issue-on-ai-for-manufacturing-from-theories-to-applications-journal-of-manufacturing-systems">Voir l'appel sur le site de l'éditeur</a>.
        
        <a href="https://kerostig.org/call/elsevier-sme-tri-journal-combined-ai-for-manufacturing-from-theories-to-applications-journal-of-manufacturing-systems/">Fiche de l'appel sur kerostig</a>.
    </p>
    
    
    <h2>Timeline</h2>
    <ul>
        
        <li>December 15, 2026: Submission deadline</li>
        
    </ul>
    
    
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            <title><![CDATA[Industry 5.0-driven Product Lifecycle Management: toward human-centric, sustainable, and resilient manufacturing]]></title>
            <link>https://kerostig.org/call/emerald-industry-50-driven-product-lifecycle-management-toward-human-centric-sustainable-and-resilient-manufacturing/</link>
            <guid>emerald-industry-50-driven-product-lifecycle-management-toward-human-centric-sustainable-and-resilient-manufacturing</guid>
            <pubDate>Sun, 06 Sep 2026 09:51:06 GMT</pubDate>
            <content:encoded><![CDATA[
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        <p><strong>Romeo Bandinelli</strong>, University of Florence</p>
        
        <p><strong>Monica Rossi</strong>, Politecnico di Milano</p>
        
        <p><strong>Claudio Sassanelli</strong>, Politecnico di Bari</p>
        
        <p><strong>Virginia Fani</strong>, Universitas Mercatorum</p>
        
    
    
    
    <p>This special issue addresses how Product Lifecycle Management systems must evolve to support Industry 5.0&#39;s three foundational principles: human-centricity, sustainability, and resilience. Traditional PLM systems, designed primarily for data integration and process efficiency, lack mechanisms to support operator well-being, embed circular economy strategies, ensure regulatory compliance, or enable rapid adaptation during disruptions.</p>
    
    <p>The special issue introduces PLM 5.0 as a strategic governance platform that integrates lifecycle data, human interaction, sustainability metrics, and adaptive decision-making across industrial ecosystems. It seeks conceptual, empirical, methodological, and case-based contributions that explore how PLM systems should be redesigned, how organizations can integrate circular economy principles, what governance frameworks are needed, and how manufacturing can build resilience through lifecycle management.</p>
    
    <p>
        Appel publié par Journal of Manufacturing Technology Management.
        
        <a href="https://www.emerald.com/jmtm/calls-for-submissions/1841/Industry-5-0-driven-Product-Lifecycle-Management?searchresult=1">Lire l'appel complet sur le site de l'éditeur</a>.
        
        <a href="https://kerostig.org/call/emerald-industry-50-driven-product-lifecycle-management-toward-human-centric-sustainable-and-resilient-manufacturing/">Fiche de l'appel sur kerostig</a>.
    </p>
    
    <h2>Potential topics</h2>
    <ul>
        
        <li>Redesigning PLM Systems for Industry 5.0</li>
        
        <li>Human-Centric PLM and Operator Development</li>
        
        <li>Circular Economy Integration within PLM</li>
        
        <li>Sustainable Lifecycle Assessment and Net-Zero Strategies</li>
        
        <li>Resilient Manufacturing and Adaptive Lifecycle Management</li>
        
        <li>Governance, Interoperability, and Data Management Frameworks</li>
        
        <li>Decision-Support and Managerial Transformation</li>
        
        <li>Sector-Specific Applications with Cross-Industry Implications</li>
        
    </ul>
    
    
    <h2>Timeline</h2>
    <ul>
        
        <li>May 6, 2026: Opening date for manuscripts submissions</li>
        
        <li>October 31, 2026: Closing date for manuscripts submission</li>
        
    </ul>
    
    
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            <title><![CDATA[Artificial Intelligence–Enabled Production Systems: Empirical Evidence, Implementation Pipelines, and Industrial Applications]]></title>
            <link>https://kerostig.org/call/tandf-artificial-intelligence-enabled-production-systems-empirical-evidence-implementation-pipelines-and-industrial-applications/</link>
            <guid>tandf-artificial-intelligence-enabled-production-systems-empirical-evidence-implementation-pipelines-and-industrial-applications</guid>
            <pubDate>Wed, 26 Aug 2026 03:26:19 GMT</pubDate>
            <content:encoded><![CDATA[
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        <p><strong>Ruoqi Geng</strong>, Cardiff University</p>
        
        <p><strong>Di Li</strong>, University of Warwick</p>
        
        <p><strong>Yang Cheng</strong>, Aalborg University</p>
        
    
    
    
    <p>This special issue seeks empirical research demonstrating how artificial intelligence is embedded within and enhances digital production technologies in real operational contexts. The focus is on understanding implementation pipelines and socio-technical conditions that enable AI-enabled solutions to function effectively as operational workflows. Purely conceptual, literature-based, or modelling studies without empirical validation are excluded.</p>
    
    <p>Acceptable empirical research uses real-world operational evidence such as production logs, IoT sensors, machine telemetry, or industrial case studies, potentially employing machine learning or optimization when grounded in real data and validated in industrial settings with measurable outcomes. Studies must address the full AI implementation pipeline, from translating production decisions into AI use cases, to ensuring data readiness, to embedding AI outputs into human-AI workflows linked to measurable production outcomes.</p>
    
    <p>
        Appel publié par Production Planning &amp; Control.
        
        <a href="https://think.taylorandfrancis.com/special_issues/ai-enabled-production-systems/">Lire l'appel complet sur le site de l'éditeur</a>.
        
        <a href="https://kerostig.org/call/tandf-artificial-intelligence-enabled-production-systems-empirical-evidence-implementation-pipelines-and-industrial-applications/">Fiche de l'appel sur kerostig</a>.
    </p>
    
    <h2>Potential topics</h2>
    <ul>
        
        <li>AI-Augmented Production Planning and Control</li>
        
        <li>Business–AI Alignment and AI Readiness Pipeline for Production Systems</li>
        
        <li>AI-enabled Quality and Process Control</li>
        
        <li>Agentic and Workflow-Oriented Deployment in Production</li>
        
        <li>AI-Enabled Cyber–Physical Production Systems and Digital Twins</li>
        
        <li>AI and Additive Manufacturing</li>
        
        <li>AI and Blockchain for Production Systems</li>
        
        <li>Human–AI Interaction and Organisational Transformation</li>
        
        <li>Empirical Innovations in Data, Measurement, and Evaluation</li>
        
        <li>Extended Production Contexts (Production-Adjacent Physical Operations)</li>
        
    </ul>
    
    
    <h2>Timeline</h2>
    <ul>
        
        <li>September 1, 2026: Call for Papers released</li>
        
        <li>June 30, 2027: Manuscript submission deadline</li>
        
        <li>September 1, 2027: First-round decisions</li>
        
        <li>December 1, 2027: Revised manuscripts due</li>
        
        <li>June 1, 2028: Final decisions</li>
        
    </ul>
    
    
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            <title><![CDATA[Manufacturing and Service Digital Ecosystems: Data driven Platform Governance, Value Co creation, and Ecosystem Optimization]]></title>
            <link>https://kerostig.org/call/elsevier-manufacturing-and-service-digital-ecosystems-data-driven-platform-governance-value-co-creation-and-ecosystem-optimization/</link>
            <guid>elsevier-manufacturing-and-service-digital-ecosystems-data-driven-platform-governance-value-co-creation-and-ecosystem-optimization</guid>
            <pubDate>Tue, 11 Aug 2026 10:27:21 GMT</pubDate>
            <content:encoded><![CDATA[
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    <p>
        Appel publié par Computers &amp; Industrial Engineering.
        
        <a href="https://www.sciencedirect.com/special-issue/331741/manufacturing-and-service-digital-ecosystems-data-driven-platform-governance-value-co-creation-and-ecosystem-optimization">Voir l'appel sur le site de l'éditeur</a>.
        
        <a href="https://kerostig.org/call/elsevier-manufacturing-and-service-digital-ecosystems-data-driven-platform-governance-value-co-creation-and-ecosystem-optimization/">Fiche de l'appel sur kerostig</a>.
    </p>
    
    
    <h2>Timeline</h2>
    <ul>
        
        <li>October 31, 2026: Full paper submission deadline</li>
        
    </ul>
    
    
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        <item>
            <title><![CDATA[From Vision to Practice: Realizing Net-Zero Manufacturing Through Circular Economy and Smart Production]]></title>
            <link>https://kerostig.org/call/tandf-from-vision-to-practice-realizing-net-zero-manufacturing-through-circular-economy-and-smart-production/</link>
            <guid>tandf-from-vision-to-practice-realizing-net-zero-manufacturing-through-circular-economy-and-smart-production</guid>
            <pubDate>Tue, 11 Aug 2026 00:55:16 GMT</pubDate>
            <content:encoded><![CDATA[
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        <p><strong>Yasser Dessouky</strong>, San Jose State University</p>
        
        <p><strong>Masood Fathi</strong>, University of Skövde</p>
        
        <p><strong>Taha Arbaoui</strong>, INSA Lyon</p>
        
        <p><strong>Khaled Hadj-Hamou</strong>, INSA Lyon</p>
        
        <p><strong>Ming-Lang Tseng</strong>, Asia University</p>
        
    
    
    
    <p>This special issue addresses the critical challenge of transitioning manufacturing to net-zero operations by integrating circular economy principles with smart production technologies. The issue seeks research on how organizations can move from sustainability commitments to practical implementation strategies that reduce emissions, minimize waste, and create climate-neutral industrial systems.</p>
    
    <p>The collection welcomes original research, case studies, and reviews that demonstrate emerging technologies and system-wide transformation frameworks. Topics range from Industry 4.0 applications and AI-driven optimization to supply chain decarbonization, renewable energy integration, and the role of regulatory policies in driving sustainable manufacturing practices.</p>
    
    <p>
        Appel publié par International Journal of Production Research.
        
        <a href="https://think.taylorandfrancis.com/special_issues/net-zero-manufacturing/">Voir l'appel sur le site de l'éditeur</a>.
        
        <a href="https://kerostig.org/call/tandf-from-vision-to-practice-realizing-net-zero-manufacturing-through-circular-economy-and-smart-production/">Fiche de l'appel sur kerostig</a>.
    </p>
    
    <h2>Potential topics</h2>
    <ul>
        
        <li>Closed-loop supply chains and waste reduction initiatives for low-carbon and climate-resilient manufacturing</li>
        
        <li>Industry 4.0-enabled smart operations for net-zero manufacturing transformation</li>
        
        <li>Life-cycle assessment of sustainable manufacturing processes</li>
        
        <li>AI-driven optimization for energy-efficient production</li>
        
        <li>Big data analytics and decision support for carbon footprint reduction</li>
        
        <li>Renewable energy integration into industrial production systems</li>
        
        <li>Electrification of industrial processes for carbon neutrality</li>
        
        <li>AI-powered energy forecasting and optimization in manufacturing</li>
        
        <li>The impact of carbon pricing and regulatory policies on production systems</li>
        
        <li>Economic incentives and financial mechanisms for green manufacturing</li>
        
        <li>Cross-sectoral collaboration for achieving net-zero industry goals</li>
        
        <li>Policy-driven roadmaps for industrial decarbonization</li>
        
        <li>Multi-criteria decision-making for net-zero manufacturing strategy development</li>
        
    </ul>
    
    
    <h2>Timeline</h2>
    <ul>
        
        <li>September 30, 2026: Manuscript submission deadline</li>
        
    </ul>
    
    
</div>
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