{"id":2301,"date":"2021-07-13T14:52:37","date_gmt":"2021-07-13T12:52:37","guid":{"rendered":"http:\/\/cirpicme.org\/?page_id=2301"},"modified":"2022-07-08T12:25:58","modified_gmt":"2022-07-08T10:25:58","slug":"production-systems-networks","status":"publish","type":"page","link":"https:\/\/cirpicme.org\/index.php\/production-systems-networks\/","title":{"rendered":"2021 Production Systems & Networks"},"content":{"rendered":"\n
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To access the paper presentation page (paper info, video viewing, Q&A posting), please click on the paper title.<\/p>\n\n\n\n

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  1. Analysing a meta-model for production scheduling in different kind of flow shop configurations<\/a><\/strong><\/strong><\/strong><\/strong><\/strong>
    Jo\u00e3o Davide Martins, Leonilde Varela, Bruno Gon\u00e7alves, Jos\u00e9 Machado, Ant\u00f3nio Caetano Monteiro, Goran Putnik <\/span>(Portugal)<\/em><\/em><\/li>
  2. Multi-agent-based deep reinforcement learning for dynamic flexible job shop scheduling<\/a><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong>
    Peter Burggraef, Johannes Wagner, Till Sassmannshausen<\/span>, Dennis Ohrndorf, Karthik Subramani (Germany)<\/em><\/li>
  3. Using multi-agent deep reinforcement learning for flexible job shop scheduling problems<\/a><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong>
    Jens Popper<\/span>, Martin Ruskowski (Germany)<\/em><\/li>
  4. Economic efficiency of automated manufacturing systems design<\/a><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong>
    Daria Leiber<\/span>, Gunther Reinhart (Germany)<\/em><\/li>
  5. Enabling automated checking of information in factory planning with ontologies – a case study<\/a><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong>
    Matthias Ebade Esfahani<\/span>, Peter Burggraef, Tobias Adlon, Stephan Matoni (Germany)<\/em><\/li>
  6. Adaptive and dynamic feedback loops between production system and production network based on the asset administration shell<\/a><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong>
    Florian Stamer,<\/span> Simon Maier, Sina Peukert, Gisela Lanza (Germany)<\/em><\/li>
  7. A systematic approach to identify the interdependencies of lean production and Industry 4.0 elements<\/a><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong>
    Fabian Dillinger<\/span>, Barbara Tropschuh, Mustafa Yagiz Dervis, Gunther Reinhart (Germany)<\/em><\/li>
  8. Ambiguity tolerant commissioning ontology: from an upper ontology to a domain specific implementation<\/a><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong>
    Carsten Ellwein<\/span>, Marc Hekeler, Oliver Riedel (Germany)<\/em><\/li>
  9. A simulation model extension to enable continuous control tests during the Virtual Commissioning<\/a><\/strong>
    Erik-Felix Tinsel<\/span>, Alexander Verl (Germany)<\/em><\/li>
  10. Test-driven reward function for reinforcement learning: a contribution towards applicable machine learning algorithms for production systems<\/a><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong>
    Florian Jaensch<\/span>, Karl Kuebler, Elmar Schwarz, Alexander Verl (Germany)<\/em><\/li><\/ol>\n\n\n\n

    <\/p>\n","protected":false},"excerpt":{"rendered":"

    To access the paper presentation page (paper info, video viewing, Q&A posting), please click on the paper title. Analysing a meta-model for production scheduling in different kind of flow shop configurationsJo\u00e3o Davide Martins, Leonilde Varela, Bruno Gon\u00e7alves, Jos\u00e9 Machado, Ant\u00f3nio Caetano Monteiro, Goran Putnik (Portugal) Multi-agent-based deep reinforcement learning for…<\/p>\n

    Continue reading<\/span><\/i><\/a> <\/p>\n","protected":false},"author":9,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"nf_dc_page":"","om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-2301","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages\/2301","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/users\/9"}],"replies":[{"embeddable":true,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/comments?post=2301"}],"version-history":[{"count":8,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages\/2301\/revisions"}],"predecessor-version":[{"id":3549,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages\/2301\/revisions\/3549"}],"wp:attachment":[{"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/media?parent=2301"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}