{"id":93599,"date":"2019-08-15T12:00:00","date_gmt":"2019-08-15T12:00:00","guid":{"rendered":"https:\/\/industry-science.com\/artikel\/digitalization-increases-the-competitiveness-of-the-wind-industry\/"},"modified":"2019-08-15T12:00:00","modified_gmt":"2019-08-15T12:00:00","slug":"digitalization-increases-the-competitiveness-of-the-wind-industry","status":"publish","type":"article","link":"https:\/\/industry-science.com\/en\/articles\/digitalization-increases-the-competitiveness-of-the-wind-industry\/","title":{"rendered":"Digitalization Increases the Competitiveness of the Wind Industry"},"content":{"rendered":"

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Subscription<\/th>\nincluded<\/th>\nPurchase<\/th>\n
without<\/td>\n−<\/td>\n29,00 \u20ac<\/td>\n
Digital<\/td>\n−<\/td>\n27,55 \u20ac<\/td>\n
Expert<\/td>\n−<\/td>\n26,10 \u20ac<\/td>\n
Professional<\/td>\n✓<\/span><\/td>\n0,00 \u20ac<\/td>\n
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Data-Driven Supplier Selection in Industry 4.0<\/h4>\n
Towards an industrial platform for selection and configuration<\/div>
Purushothaman Ganesh<\/a> \n \"ORCID<\/a>, Baris E. Albayrak<\/a> \n \"ORCID<\/a>, J\u00f6rg Franke<\/a> \n \"ORCID<\/a>, Till Sindel<\/a> \n \"ORCID<\/a>, Jens F\u00fcrst<\/a>, Sebastian Lang<\/a> \n \"ORCID<\/a><\/div>\n <\/td>\n <\/tr>\n <\/table>\n
\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
Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 4 | Pages 50-61 | DOI 10.30844\/I4SE.26.4.6<\/a><\/div> <\/div>\n <\/div>\n <\/a>\n <\/div>\n
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\n \n \n \n \"Open\n <\/picture>\n <\/div>\n
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Open Source as Enabler for Smart Data Ecosystems<\/h4>\n
How collaboration shapes sovereignty and interoperability across industrial applications<\/div>
Anna Maria Schleimer<\/a> \n \"ORCID<\/a>, Julia Pampus<\/a> \n \"ORCID<\/a><\/div>\n <\/td>\n <\/tr>\n <\/table>\n
\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
Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 4 | Pages 6-13 | DOI 10.30844\/I4SE.26.4.1<\/a><\/div> <\/div>\n <\/div>\n <\/a>\n <\/div>\n
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From Private Law to Private Ordering<\/h4>\n
Rule-making through industrial digital platforms<\/div>
Pia C. Romeike<\/a>, Frederik B\u00e4r<\/a><\/div>\n <\/td>\n <\/tr>\n <\/table>\n
\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
Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 4 | Pages 98-105 | DOI 10.30844\/I4SD.26.4.11<\/a><\/div> <\/div>\n <\/div>\n <\/a>\n <\/div>\n
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\n \n \n \n \"Industry\n <\/picture>\n <\/div>\n
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Industry 4.0\u2014Progress and Digitalization in Limbo<\/h4>\n
Status of sustainable transformation and digitalization in production engineering<\/div>
Christian Donhauser<\/a> \n \"ORCID<\/a>, Daniel Riepl<\/a><\/div>\n <\/td>\n <\/tr>\n <\/table>\n
\n
\n\t\t\t \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
Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 3 | Pages 56-60<\/div> <\/div>\n <\/div>\n <\/a>\n <\/div>\n
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\n \n \n \n \"Application\n <\/picture>\n <\/div>\n
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\t\t

Application Potentials of Chinese Knowledge Platforms<\/h4>\n
Digital platforms for knowledge transfer in research and education<\/div>
Yunhao Su<\/a>, Martin Braun<\/a> \n \"ORCID<\/a><\/div>\n <\/td>\n <\/tr>\n <\/table>\n
\n
\n\t\t\t \n\t\t\t <\/div>Knowledge drives innovation, which is why digital platforms are increasingly used for knowledge transfer. The People\u2019s Republic of China (PRC) is a global leader in digitalization and digital platforms are central to Chinese knowledge transfer and innovation systems. This study supplements theoretical concepts of knowledge transfer with empirical findings on the (further) development of relevant knowledge platforms. It examines the influence of specific design features on the functionality and quality of digital knowledge platforms. A literature review identifies seven condensed success criteria. Nine leading Chinese knowledge platforms are categorized based on their transfer logic and functional scope. Online survey participants assess the platform-specific manifestations of the identified criteria and highlight potential and areas for improvement in platform-based knowledge transfer. <\/div>\n <\/div>\n
Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 3 | Pages 84-93<\/div> <\/div>\n <\/div>\n <\/a>\n <\/div>\n
\n \n
\n \n \n \n \"VR\n <\/picture>\n <\/div>\n
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VR Training for Multimodal Cobot Interaction<\/h4>\n
Virtual learning environments for collaborative robots<\/div>
Christoph S. Zoller<\/a>, Justus Langer<\/a>, Kristoffer Waldow<\/a> \n \"ORCID<\/a>, Merle Meyer<\/a>, Arnulph Fuhrmann<\/a> \n \"ORCID<\/a><\/div>\n <\/td>\n <\/tr>\n <\/table>\n
\n The VIRAMM research project is developing and prototyping a VR-based training concept for the integration of collaborative robots (cobots) in assembly-oriented U-cells. Since the benefits of cobots depend heavily on process, layout, and role integration, VIRAMM addresses the previously lacking consistent scenario design for variant comparisons with Key Performance Indicator (KPI)-based evaluation. <\/div>\n <\/div>\n
Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 3 | Pages 106-112<\/div> <\/div>\n <\/div>\n <\/a>\n <\/div>\n<\/div>\n\n","protected":false},"excerpt":{"rendered":"

The phase-out of nuclear energy decided by the politicians and the goal of significantly aligning the energy mix with renewable energies will give the industry great growth potential. Digitalization and the resulting technologies, such as sensors, robotics and assistance systems, artificial intelligence, virtual reality and augmented reality, are helping companies realise their potential. The study \u201cIndustrialization of the Wind Industry\u201d by the Technical University of Munich has shown that digitalization will have a positive effect on the \u201cLevelized Cost of Energy\u201d (LCOE).<\/p>\n","protected":false},"featured_media":96399,"menu_order":0,"template":"","categories":[],"tags":[79349,79449,79671],"product_cat":[79304],"topic":[68206],"technology":[68446,68674,67946],"knowhow":[],"industry":[],"writer":[80414],"content-type":[],"potential":[],"solution":[],"glossary":[],"class_list":["post-93599","article","type-article","status-publish","has-post-thumbnail","tag-augmented-reality-en","tag-digitalisierung-en","tag-smart-factory-en","product_cat-articles","topic-industry-4-0","technology-augmented-reality-en","technology-robotics","technology-sensors","writer-horst-wildemann-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\/wildemann-Digitalisierung-steigert-die-Wettbewerbsfaehigkeit-der-Windindustrie_IM-2019-4-1400x788.jpg",1400,788,false],"thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/wildemann-Digitalisierung-steigert-die-Wettbewerbsfaehigkeit-der-Windindustrie_IM-2019-4-1400x788-150x150.jpg",150,150,true],"medium":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/wildemann-Digitalisierung-steigert-die-Wettbewerbsfaehigkeit-der-Windindustrie_IM-2019-4-1400x788-666x375.jpg",666,375,true],"medium_large":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/wildemann-Digitalisierung-steigert-die-Wettbewerbsfaehigkeit-der-Windindustrie_IM-2019-4-1400x788-768x432.jpg",768,432,true],"large":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/wildemann-Digitalisierung-steigert-die-Wettbewerbsfaehigkeit-der-Windindustrie_IM-2019-4-1400x788-1024x576.jpg",1020,574,true],"front-page-entry":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/wildemann-Digitalisierung-steigert-die-Wettbewerbsfaehigkeit-der-Windindustrie_IM-2019-4-1400x788-1032x320.jpg",1032,320,true],"post-entry":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/wildemann-Digitalisierung-steigert-die-Wettbewerbsfaehigkeit-der-Windindustrie_IM-2019-4-1400x788-764x376.jpg",764,376,true],"post-teaser":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/wildemann-Digitalisierung-steigert-die-Wettbewerbsfaehigkeit-der-Windindustrie_IM-2019-4-1400x788-392x320.jpg",392,320,true],"post-teaser-mobile":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/wildemann-Digitalisierung-steigert-die-Wettbewerbsfaehigkeit-der-Windindustrie_IM-2019-4-1400x788-608x496.jpg",608,496,true],"post-custom-size":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/wildemann-Digitalisierung-steigert-die-Wettbewerbsfaehigkeit-der-Windindustrie_IM-2019-4-1400x788-640x325.jpg",640,325,true],"whitepaper-teaser":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/wildemann-Digitalisierung-steigert-die-Wettbewerbsfaehigkeit-der-Windindustrie_IM-2019-4-1400x788-274x376.jpg",274,376,true],"card-big":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/wildemann-Digitalisierung-steigert-die-Wettbewerbsfaehigkeit-der-Windindustrie_IM-2019-4-1400x788-514x292.jpg",514,292,true],"card-portrait":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/wildemann-Digitalisierung-steigert-die-Wettbewerbsfaehigkeit-der-Windindustrie_IM-2019-4-1400x788-320x440.jpg",320,440,true],"card-big-company":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/wildemann-Digitalisierung-steigert-die-Wettbewerbsfaehigkeit-der-Windindustrie_IM-2019-4-1400x788-514x289.jpg",514,289,true],"gp-listing":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/wildemann-Digitalisierung-steigert-die-Wettbewerbsfaehigkeit-der-Windindustrie_IM-2019-4-1400x788-196x180.jpg",196,180,true],"1536x1536":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/wildemann-Digitalisierung-steigert-die-Wettbewerbsfaehigkeit-der-Windindustrie_IM-2019-4-1400x788.jpg",1400,788,false],"2048x2048":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/wildemann-Digitalisierung-steigert-die-Wettbewerbsfaehigkeit-der-Windindustrie_IM-2019-4-1400x788.jpg",1400,788,false],"woocommerce_thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/wildemann-Digitalisierung-steigert-die-Wettbewerbsfaehigkeit-der-Windindustrie_IM-2019-4-1400x788-510x510.jpg",510,510,true],"woocommerce_single":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/wildemann-Digitalisierung-steigert-die-Wettbewerbsfaehigkeit-der-Windindustrie_IM-2019-4-1400x788-510x287.jpg",510,287,true],"woocommerce_gallery_thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/wildemann-Digitalisierung-steigert-die-Wettbewerbsfaehigkeit-der-Windindustrie_IM-2019-4-1400x788-100x100.jpg",100,100,true],"dgwt-wcas-product-suggestion":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/wildemann-Digitalisierung-steiger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