{"id":94359,"date":"2021-10-15T12:00:00","date_gmt":"2021-10-15T12:00:00","guid":{"rendered":"https:\/\/industry-science.com\/?post_type=article&#038;p=94359"},"modified":"2024-04-16T16:22:42","modified_gmt":"2024-04-16T14:22:42","slug":"flexible-reference-model-for-planning-and-optimization-2","status":"publish","type":"article","link":"https:\/\/industry-science.com\/en\/articles\/flexible-reference-model-for-planning-and-optimization-2\/","title":{"rendered":"Flexible Reference Model for Planning and Optimization"},"content":{"rendered":"<hr>\n<div class=\"gito-pub-content-bibliography\">\n<h2>Bibliography <\/h2>\n[1] Gartner, Inc.: Gartner Top 10 Strategic Technology Trends for 2019. Gartner. URL: www.gartner.com\/ smarterwithgartner\/gartner-top-10-strategic-technology-trends-for-2019, Abrufdatum 13.10.2020.<br \/>\n[2] Volkswagen: Volkswagen and Amazon Web Services to develop Industrial Cloud. URL: www.volkswagenag.com\/ en\/news\/2019\/03\/volkswagen-and-amazon-web-services-to-develop-industrial-cloud.html, Abrufdatum 18.01.2021.<br \/>\n[3] Kritzinger, W.; Karner, M.; Traar, G.; Henjes, J.; Sihn, W.: Digital Twin in manufacturing: A categorical literature review and classification. In: IFAC-PapersOnLine 51 (2018) 11, S. 1016-1022. doi: 10.1016\/j.ifacol.2018.08.474.<br \/>\n[4] Skoogh, A.; Perera, T.; Johansson, B.: Input data management in simulation \u2013 Industrial practices and future trends. In: Simulation Modelling Practice and Theory 29 (2012), S. 181-192. doi: 10.1016\/j.simpat.2012.07.009.<br \/>\n[5] Reinhardt, H.; Weber, M.; Putz, M.: A Survey on Automatic Model Generation for Material Flow Simulation in Discrete Manufacturing. In: Procedia CIRP 81 (2019), S. 121-126. doi: 10.1016\/j.procir.2019.03.022.<br \/>\n[6] Vieira, A.; Dias, L.; Santos, M.; Pereira, G.; Oliveira, J.: Setting an Industry 4.0 Research and Development Agenda for Simulation \u2013 a Literature Review. In: International Journal of Simulation Modelling 17 (2018), S. 377-390. doi: 10.2507\/IJSIMM17(3)429.<br \/>\n[7] Stra\u00dfburger, S.; Bergmann, S.; M\u00fcller-Sommer, H.: Modellgenerierung im Kontext der Digitalen Fabrik &#8211; Stand der Technik und Herausforderungen. Karlsruhe 2010.<br \/>\n[8] Drath, R.: Datenaustausch in der Anlagenplanung mit AutomationML: Integration von CAEX, PLCopen XML und COLLADA. Heidelberg New York 2010.<\/div>\n<div id=\"download-section\" class=\"gito-pub-download-section\" style=\"text-align:center;margin:20px;\">\n<h2>Your downloads<\/h2>\n<p><button style=\"font-size:14px;margin-right:15px;\" class=\"button gito-pub-cpt-download-button\" data-postid=\"94359\" data-userid =\"0\" data-filename=\"schlecht-Flexibles-Referenzmodell-zur-Planung-und-Optimierung-der-Produktion_IM-2021-5.pdf\"><span style=\"margin-top:5px !important;\" class=\"dashicons dashicons-download\"><\/span>&nbsp;&nbsp;PDF<\/button><\/div>\n<div class=\"gito-pub-tags-social-share\" style=\"display:flex;justify-content:space-between;\"><div>Tags: <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/digitaler-zwilling-en\/\">digitaler Zwilling<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/discrete-event-simulation-en\/\">discrete event simulation<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/fabrikplanung-en\/\">Fabrikplanung<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/industrie-4-0-en\/\">Industrie 4.0<\/a><\/span> <\/div><div><div class=\"social-icons share-icons share-row relative\" ><a href=\"whatsapp:\/\/send?text=Flexible%20Reference%20Model%20for%20Planning%20and%20Optimization - https:\/\/industry-science.com\/en\/articles\/flexible-reference-model-for-planning-and-optimization-2\/\" data-action=\"share\/whatsapp\/share\" class=\"icon button circle is-outline tooltip whatsapp show-for-medium\" title=\"Share on WhatsApp\" aria-label=\"Share on WhatsApp\"><i class=\"icon-whatsapp\" aria-hidden=\"true\"><\/i><\/a><a href=\"https:\/\/www.facebook.com\/sharer.php?u=https:\/\/industry-science.com\/en\/articles\/flexible-reference-model-for-planning-and-optimization-2\/\" data-label=\"Facebook\" onclick=\"window.open(this.href,this.title,'width=500,height=500,top=300px,left=300px'); return false;\" target=\"_blank\" class=\"icon button circle is-outline tooltip facebook\" title=\"Share on Facebook\" aria-label=\"Share on Facebook\" rel=\"noopener nofollow\"><i class=\"icon-facebook\" aria-hidden=\"true\"><\/i><\/a><a href=\"https:\/\/x.com\/share?url=https:\/\/industry-science.com\/en\/articles\/flexible-reference-model-for-planning-and-optimization-2\/\" onclick=\"window.open(this.href,this.title,'width=500,height=500,top=300px,left=300px'); return false;\" target=\"_blank\" class=\"icon button circle is-outline tooltip x\" title=\"Share on X\" aria-label=\"Share on X\" rel=\"noopener nofollow\"><i class=\"icon-x\" aria-hidden=\"true\"><\/i><\/a><a href=\"mailto:?subject=Flexible%20Reference%20Model%20for%20Planning%20and%20Optimization&body=Check%20this%20out%3A%20https%3A%2F%2Findustry-science.com%2Fen%2Farticles%2Fflexible-reference-model-for-planning-and-optimization-2%2F\" class=\"icon button circle is-outline tooltip email\" title=\"Email to a Friend\" aria-label=\"Email to a Friend\" rel=\"nofollow\"><i class=\"icon-envelop\" aria-hidden=\"true\"><\/i><\/a><a href=\"https:\/\/www.linkedin.com\/shareArticle?mini=true&url=https:\/\/industry-science.com\/en\/articles\/flexible-reference-model-for-planning-and-optimization-2\/&title=Flexible%20Reference%20Model%20for%20Planning%20and%20Optimization\" onclick=\"window.open(this.href,this.title,'width=500,height=500,top=300px,left=300px'); return false;\" target=\"_blank\" class=\"icon button circle is-outline tooltip linkedin\" title=\"Share on LinkedIn\" aria-label=\"Share on LinkedIn\" rel=\"noopener nofollow\"><i class=\"icon-linkedin\" aria-hidden=\"true\"><\/i><\/a><\/div><\/div><\/div><hr style=\"margin-top:0px;\">\n<h2 class=\"gito-pub-frontend-post-headline\">You might also be interested in<\/h2>\n<!-- GITO_PUB_POST start flex-container -->\n<div class=\"gito-pub-flex-container\">\n   <div class=\"gito-pub-frontend-post-card gito-pub-flex-item gito-pub-flex-item-1\">\n      <a href=\"https:\/\/industry-science.com\/en\/articles\/ai-driven-organization-as-a-new-work-paradigm\/\">\n         <div class=\"gito-pub-frontend-post-card-row\">         <div class=\"gito-pub-frontend-post-card-column gito-pub-frontend-post-card-column-image\">\n            <picture>\n               <source media=\"(max-width:640px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/hoelzle_AdobeStock_1913936617_Chaosamran_Studio-640x325.png\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/hoelzle_AdobeStock_1913936617_Chaosamran_Studio-196x180.png\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/hoelzle_AdobeStock_1913936617_Chaosamran_Studio-196x180.png\" alt=\"AI-Driven Organization as a New Work Paradigm\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"AI-Driven Organization as a New Work Paradigm\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\" style=\"line-height:1.2em;\">AI-Driven Organization as a New Work Paradigm<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Implications for individual and organizational change<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/wolfgang-beinhauer\/\">Wolfgang Beinhauer<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/josephine-hofmann\/\">Josephine Hofmann<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/leonie-krauch\/\">Leonie Krauch<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/katharina-morsch\/\">Katharina Morsch<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/carsten-schmidt\/\">Carsten Schmidt<\/a><\/div>\n                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n                     <div class=\"gito-pub-frontend-post-card-abo-sign gito-pub-login-register-link\" data-targetabo=\"expert\" data-targeturl=\"https:\/\/industry-science.com\/en\/articles\/ai-driven-organization-as-a-new-work-paradigm\/\" title=\"please login or register - content can only be read in its entirety with a subscription  expert\">\n\t\t\t                         <img decoding=\"async\" src=\"https:\/\/industry-science.com\/wp-content\/plugins\/gito-publisher\/img\/i4s-login.png\">\n\t\t\t                      <\/div>Is it sufficient to train employees in the use of AI tools, or does the AI organization require an entirely new set of competencies? This paper introduces a digital enablement model comprising three competency dimensions and demonstrates, through an upskilling program implemented at the Fraunhofer Institute for Industrial Engineering IAO, how organizations can sustainably bridge the AI adoption gap.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 44 | 2026 | Edition 5 | Pages 94-100<\/div>            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n   <div class=\"gito-pub-frontend-post-card gito-pub-flex-item gito-pub-flex-item-1\">\n      <a href=\"https:\/\/industry-science.com\/en\/articles\/designing-effective-ai-certification\/\">\n         <div class=\"gito-pub-frontend-post-card-row\">         <div class=\"gito-pub-frontend-post-card-column gito-pub-frontend-post-card-column-image\">\n            <picture>\n               <source media=\"(max-width:640px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/morsch_AdobeStock_1860648731_InfiniteFlow-640x325.png\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/morsch_AdobeStock_1860648731_InfiniteFlow-196x180.png\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/morsch_AdobeStock_1860648731_InfiniteFlow-196x180.png\" alt=\"Designing Effective AI Certification\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Designing Effective AI Certification\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\" style=\"line-height:1.2em;\">Designing Effective AI Certification<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Insights from established certification domains for the standardization of human-centered AI<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/katharina-morsch\/\">Katharina Morsch<\/a><\/div>\n                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n                     <div class=\"gito-pub-frontend-post-card-abo-sign gito-pub-login-register-link\" data-targetabo=\"expert\" data-targeturl=\"https:\/\/industry-science.com\/en\/articles\/designing-effective-ai-certification\/\" title=\"please login or register - content can only be read in its entirety with a subscription  expert\">\n\t\t\t                         <img decoding=\"async\" src=\"https:\/\/industry-science.com\/wp-content\/plugins\/gito-publisher\/img\/i4s-login.png\">\n\t\t\t                      <\/div>Certification for human-centered AI is becoming increasingly important\u2014as a source of competitive differentiation, a response to regulatory expectations, and a mechanism for fostering human-centered work environments. But how can organizations determine whether the underlying requirements are truly embedded in practice? Drawing on expert interviews from established certification domains, this paper shows that the decisive question is answered not during the audit itself, but in the period between audit cycles. Ultimately, it is not the certificate that matters, but the commitment of organizational leadership and the organization as a whole to engage seriously in the certification process and its continuous implementation.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 44 | 2026 | Edition 5 | Pages 86-92 | DOI <a style=\"font-weight:bold !important;\" href=\"10.30844\/I4SE.26.4.8\" target=\"_blank\">10.30844\/I4SE.26.4.8<\/a><\/div>            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n   <div class=\"gito-pub-frontend-post-card gito-pub-flex-item gito-pub-flex-item-1\">\n      <a href=\"https:\/\/industry-science.com\/en\/articles\/supplier-selection-industry-4-0\/\">\n         <div class=\"gito-pub-frontend-post-card-row\">         <div class=\"gito-pub-frontend-post-card-column gito-pub-frontend-post-card-column-image\">\n            <picture>\n               <source media=\"(max-width:640px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/Ganesh_AdobeStock_1953691998_Vlad-Rakin-640x325.webp\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/Ganesh_AdobeStock_1953691998_Vlad-Rakin-196x180.webp\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/Ganesh_AdobeStock_1953691998_Vlad-Rakin-196x180.webp\" alt=\"Data-Driven Supplier Selection in Industry 4.0\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Data-Driven Supplier Selection in Industry 4.0\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\" style=\"line-height:1.2em;\">Data-Driven Supplier Selection in Industry 4.0<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Towards an industrial platform for selection and configuration<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/purushothaman-ganesh\/\">Purushothaman Ganesh<\/a> <a href=\"https:\/\/orcid.org\/0009-0009-4245-467X\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/baris-e-albayrak\/\">Baris E. Albayrak<\/a> <a href=\"https:\/\/orcid.org\/0009-0001-1193-1279\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/joerg-franke-en\/\">J\u00f6rg Franke<\/a> <a href=\"https:\/\/orcid.org\/0000-0003-0700-2028\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/till-sindel\/\">Till Sindel<\/a> <a href=\"https:\/\/orcid.org\/0009-0004-3507-631X\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/jens-fuerst\/\">Jens F\u00fcrst<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/sebastian-lang\/\">Sebastian Lang<\/a> <a href=\"https:\/\/orcid.org\/0000-0003-3397-1551\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a><\/div>\n                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n                     Industrial supply chains must repeatedly reconfigure sourcing strategies in response to disruptions, yet supplier capability information remains heterogeneous and difficult to operationalize. Existing research addresses supplier selection, simulation, and interoperability standards separately, treating discovery, evaluation, and optimization as disconnected steps requiring manual data transformation. This paper presents a framework for a data-driven industrial platform integrating three components: Asset Administration Shell-based supplier profiles structured by an Actor-Service ontology for semantic discovery, automatic discrete-event simulation model generation from layout data for performance evaluation, and KPI-driven configuration using optimization algorithms. The main contributions are an end-to-end interoperable workflow, a two-tier supplier profile concept separating semantic descriptions from simulation parameters, and a standardized KPI interface maintaining consistency ...                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 4 | Pages 50-61 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.26.4.6\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.26.4.6<\/a><\/div>            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n   <div class=\"gito-pub-frontend-post-card gito-pub-flex-item gito-pub-flex-item-1\">\n      <a href=\"https:\/\/industry-science.com\/en\/articles\/smart-data-ecosystems\/\">\n         <div class=\"gito-pub-frontend-post-card-row\">         <div class=\"gito-pub-frontend-post-card-column gito-pub-frontend-post-card-column-image\">\n            <picture>\n               <source media=\"(max-width:640px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/Schleimer_AdobeStock_520430566_Melisa-640x325.jpg\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/Schleimer_AdobeStock_520430566_Melisa-196x180.jpg\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/Schleimer_AdobeStock_520430566_Melisa-196x180.jpg\" alt=\"Open Source as Enabler for Smart Data Ecosystems\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Open Source as Enabler for Smart Data Ecosystems\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\" style=\"line-height:1.2em;\">Open Source as Enabler for Smart Data Ecosystems<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">How collaboration shapes sovereignty and interoperability across industrial applications<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/anna-maria-schleimer\/\">Anna Maria Schleimer<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-3264-8034\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/julia-pampus\/\">Julia Pampus<\/a> <a href=\"https:\/\/orcid.org\/0000-0003-2309-6183\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a><\/div>\n                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n                     From automotive supply chains to smart factories, data ecosystems promise seamless collaboration across company boundaries. But how can industries build the necessary infrastructure without creating new dependencies? This article explores how open-source software can serve as a foundation and impactful tool for sovereign, interoperable technologies and standards. Yet, open-source software is not a silver bullet; rather, it poses challenges for digital sovereignty in burgeoning data ecosystems.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 4 | Pages 6-13 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.26.4.1\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.26.4.1<\/a><\/div>            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n   <div class=\"gito-pub-frontend-post-card gito-pub-flex-item gito-pub-flex-item-1\">\n      <a href=\"https:\/\/industry-science.com\/en\/articles\/from-private-law-to-private-ordering\/\">\n         <div class=\"gito-pub-frontend-post-card-row\">         <div class=\"gito-pub-frontend-post-card-column gito-pub-frontend-post-card-column-image\">\n            <picture>\n               <source media=\"(max-width:640px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/Romeike_AdobeStock_2042534786_DC-Studio-640x325.jpg\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/Romeike_AdobeStock_2042534786_DC-Studio-196x180.jpg\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/Romeike_AdobeStock_2042534786_DC-Studio-196x180.jpg\" alt=\"From Private Law to Private Ordering\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"From Private Law to Private Ordering\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\" style=\"line-height:1.2em;\">From Private Law to Private Ordering<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Rule-making through industrial digital platforms<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/pia-c-romeike\/\">Pia C. Romeike<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/frederik-baer\/\">Frederik B\u00e4r<\/a><\/div>\n                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n                     Industrial digital platforms are considered the driving force behind digital value creation, yet legally they largely operate in a gray area. This article examines what defines industrial digital platforms and what legal framework applies to them. Existing platform regulations apply only to a limited extent to industrial digital platforms, which is why these platforms often establish their own legal framework through their terms and conditions. The article also explores the implications of European regulation, power asymmetries, and the opportunities and limitations of private regulation.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 4 | Pages 98-105 | DOI <a style=\"font-weight:bold !important;\" href=\"10.30844\/I4SD.26.4.11\" target=\"_blank\">10.30844\/I4SD.26.4.11<\/a><\/div>            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n   <div class=\"gito-pub-frontend-post-card gito-pub-flex-item gito-pub-flex-item-1\">\n      <a href=\"https:\/\/industry-science.com\/en\/articles\/industry-4-0-digitalization-limbo\/\">\n         <div class=\"gito-pub-frontend-post-card-row\">         <div class=\"gito-pub-frontend-post-card-column gito-pub-frontend-post-card-column-image\">\n            <picture>\n               <source media=\"(max-width:640px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/05\/Donhauser_AdobeStock_507850396_Gorodenkoff-640x325.webp\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/05\/Donhauser_AdobeStock_507850396_Gorodenkoff-196x180.webp\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/05\/Donhauser_AdobeStock_507850396_Gorodenkoff-196x180.webp\" alt=\"Industry 4.0\u2014Progress and Digitalization in Limbo\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Industry 4.0\u2014Progress and Digitalization in Limbo\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\" style=\"line-height:1.2em;\">Industry 4.0\u2014Progress and Digitalization in Limbo<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Status of sustainable transformation and digitalization in production engineering<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/christian-donhauser\/\">Christian Donhauser<\/a> <a href=\"https:\/\/orcid.org\/0009-0009-0366-1828\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/daniel-riepl\/\">Daniel Riepl<\/a><\/div>\n                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n                     <div class=\"gito-pub-frontend-post-card-abo-sign gito-pub-login-register-link\" data-targetabo=\"expert\" data-targeturl=\"https:\/\/industry-science.com\/en\/articles\/industry-4-0-digitalization-limbo\/\" title=\"please login or register - content can only be read in its entirety with a subscription  expert\">\n\t\t\t                         <img decoding=\"async\" src=\"https:\/\/industry-science.com\/wp-content\/plugins\/gito-publisher\/img\/i4s-login.png\">\n\t\t\t                      <\/div>Digitalization projects help users represent complex processes more simply and efficiently. However, there are many obstacles to implementation. Reluctance to implement these projects is palpable. This affects, among others, employers and employees, who may fall behind economically by waiting or avoiding change. These observations can be traced back to an overarching research question: What barriers and systemic challenges hinder sustainable transformation within the context of Industry 4.0, particularly when considering human labor in production engineering? What questions are the affected stakeholders asking? The primary goal of this long-term research project is to define these questions decisively and in detail in order to develop a conceptual foundation that integrates research, teaching, and technological development and thus combines the potential of digital technologies with the experiential and practical knowledge of production workers.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 3 | Pages 56-60<\/div>            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n<\/div>\n<!-- GITO_PUB_POST end flex-container -->\n","protected":false},"excerpt":{"rendered":"<p>The digital twin has moved into the focus of manufacturing companies and has been identified by Gartner as a key technology [1]. In the automotive industry, VW uses the digital twin in the cloud to plan, control and optimize production at all 122 locations in the future [2]. The digital twin is also the basis and an integral part of new, digital business models and the digitization of production companies. This article gives an overview of the current state of the art and describes a flexible reference model for planning and optimizing production systems based on the digital twin. The focus is on the one hand on the optimization of static layouts and material flows and on the other hand on the optimization of dynamic material flows and the temporal organization of processes.<\/p>\n","protected":false},"featured_media":96106,"menu_order":0,"template":"","categories":[79167,79168,79298],"tags":[79631,84677,79662,79627],"product_cat":[],"topic":[67838,68760,68206],"technology":[67596],"knowhow":[],"industry":[],"writer":[82439,83153,83409],"content-type":[],"potential":[],"solution":[],"glossary":[],"class_list":["post-94359","article","type-article","status-publish","has-post-thumbnail","category-design-en","category-translate-en","category-typeset","tag-digitaler-zwilling-en","tag-discrete-event-simulation-en","tag-fabrikplanung-en","tag-industrie-4-0-en","topic-digital-twin","topic-factory-design","topic-industry-4-0","technology-software-en","writer-juergen-koebler-en","writer-michael-schlecht-en","writer-roland-de-guio-en","product","first","instock","downloadable","virtual","sold-individually","taxable","purchasable","product-type-article"],"uagb_featured_image_src":{"full":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/schlecht-Flexibles-Referenzmodell-zur-Planung-und-Optimierung-der-Produktion_IM-2021-5-1400x788.jpg",1400,788,false],"thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/schlecht-Flexibles-Referenzmodell-zur-Planung-und-Optimierung-der-Produktion_IM-2021-5-1400x788-150x150.jpg",150,150,true],"medium":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/schlecht-Flexibles-Referenzmodell-zur-Planung-und-Optimierung-der-Produktion_IM-2021-5-1400x788-666x375.jpg",666,375,true],"medium_large":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/schlecht-Flexibles-Referenzmodell-zur-Planung-und-Optimierung-der-Produktion_IM-2021-5-1400x788-768x432.jpg",768,432,true],"large":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/schlecht-Flexibles-Referenzmodell-zur-Planung-und-Optimierung-der-Produktion_IM-2021-5-1400x788-1024x576.jpg",1020,574,true],"front-page-entry":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/schlecht-Flexibles-Referenzmodell-zur-Planung-und-Optimierung-der-Produktion_IM-2021-5-1400x788-1032x320.jpg",1032,320,true],"post-entry":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/schlecht-Flexibles-Referenzmodell-zur-Planung-und-Optimierung-der-Produktion_IM-2021-5-1400x788-764x376.jpg",764,376,true],"post-teaser":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/schlecht-Flexibles-Referenzmodell-zur-Planung-und-Optimierung-der-Produktion_IM-2021-5-1400x788-392x320.jpg",392,320,true],"post-teaser-mobile":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/schlecht-Flexibles-Referenzmodell-zur-Planung-und-Optimierung-der-Produktion_IM-2021-5-1400x788-608x496.jpg",608,496,true],"post-custom-size":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/schlecht-Flexibles-Referenzmodell-zur-Planung-und-Optimierung-der-Produktion_IM-2021-5-1400x788-640x325.jpg",640,325,true],"whitepaper-teaser":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/schlecht-Flexibles-Referenzmodell-zur-Planung-und-Optimierung-der-Produktion_IM-2021-5-1400x788-274x376.jpg",274,376,true],"card-big":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/schlecht-Flexibles-Referenzmodell-zur-Planung-und-Optimierung-der-Produktion_IM-2021-5-1400x788-514x292.jpg",514,292,true],"card-portrait":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/schlecht-Flexibles-Referenzmodell-zur-Planung-und-Optimierung-der-Produktion_IM-2021-5-1400x788-320x440.jpg",320,440,true],"card-big-company":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/schlecht-Flexibles-Referenzmodell-zur-Planung-und-Optimierung-der-Produktion_IM-2021-5-1400x788-514x289.jpg",514,289,true],"gp-listing":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/schlecht-Flexibles-Referenzmodell-zur-Planung-und-Optimierung-der-Produktion_IM-2021-5-1400x788-196x180.jpg",196,180,true],"1536x1536":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/schlecht-Flexibles-Referenzmodell-zur-Planung-und-Optimierung-der-Produktion_IM-2021-5-1400x788.jpg",1400,788,false],"2048x2048":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/schlecht-Flexibles-Referenzmodell-zur-Planung-und-Optimierung-der-Produktion_IM-2021-5-1400x788.jpg",1400,788,false],"woocommerce_thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/schlecht-Flexibles-Referenzmodell-zur-Planung-und-Optimierung-der-Produktion_IM-2021-5-1400x788-510x510.jpg",510,510,true],"woocommerce_single":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/schlecht-Flexibles-Referenzmodell-zur-Planung-und-Optimierung-der-Produktion_IM-2021-5-1400x788-510x287.jpg",510,287,true],"woocommerce_gallery_thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/schlecht-Flexibles-Referenzmodell-zur-Planung-und-Optimierung-der-Produktion_IM-2021-5-1400x788-100x100.jpg",100,100,true],"dgwt-wcas-pr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Brocks","author_link":"https:\/\/industry-science.com\/en\/author\/"},"uagb_comment_info":0,"uagb_excerpt":"The digital twin has moved into the focus of manufacturing companies and has been identified by Gartner as a key technology [1]. In the automotive industry, VW uses the digital twin in the cloud to plan, control and optimize production at all 122 locations in the future [2]. The digital twin is also the basis&hellip;","_links":{"self":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/article\/94359","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/article"}],"about":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/types\/article"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/media\/96106"}],"wp:attachment":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/media?parent=94359"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/categories?post=94359"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/tags?post=94359"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/product_cat?post=94359"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/topic?post=94359"},{"taxonomy":"technology","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/technology?post=94359"},{"taxonomy":"knowhow","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/knowhow?post=94359"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/industry?post=94359"},{"taxonomy":"writer","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/writer?post=94359"},{"taxonomy":"content-type","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/content-type?post=94359"},{"taxonomy":"potential","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/potential?post=94359"},{"taxonomy":"solution","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/solution?post=94359"},{"taxonomy":"glossary","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/glossary?post=94359"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}