{"id":114062,"date":"2026-06-08T16:24:30","date_gmt":"2026-06-08T14:24:30","guid":{"rendered":"https:\/\/industry-science.com\/?post_type=article&p=114062"},"modified":"2026-06-08T16:25:05","modified_gmt":"2026-06-08T14:25:05","slug":"open-source-industrial-metaverse","status":"publish","type":"article","link":"https:\/\/industry-science.com\/en\/articles\/open-source-industrial-metaverse\/","title":{"rendered":"Open-Source Implementation of the Industrial Metaverse"},"content":{"rendered":"

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The Industrial Metaverse offers the opportunity to digitally transform a wide range of business processes in the manufacturing sector. It can bring together globally distributed teams, transfer knowledge across generations, perform simulations and analyses across entire process chains, and provide continuing education for employees. In the future, it may also hold potential for enabling data-driven decisions in other areas. The core of the Industrial Metaverse is often described as cross-platform digital collaboration in virtual spaces closely interwoven with reality [1]. In contrast to the general Metaverse, the implementation of the …<\/div>\n

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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✓<\/span><\/td>\n0,00 \u20ac<\/td>\n
Professional<\/td>\n✓<\/span><\/td>\n0,00 \u20ac<\/td>\n
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Industrial Platforms for the Analysis of Decision Dynamics<\/h4>\n
An agent-based modeling approach<\/div>
Jasmijn Stoffels<\/a>, Norbert Gronau<\/a> \n \"ORCID<\/a><\/div>\n <\/td>\n <\/tr>\n <\/table>\n
\n Industrial platforms are fundamentally transforming the organization and structure of value creation. Beyond serving as intermediaries that connect machine manufacturers, suppliers, and service providers, they enable data-driven decision-making in production while fostering innovation in product development. In doing so, they create new opportunities for collaboration and value creation through enhanced connectivity and interaction across the platform ecosystem. <\/div>\n <\/div>\n
Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 4 | Pages 30-40 | DOI 10.30844\/I4SE.26.4.4<\/a><\/div> <\/div>\n <\/div>\n <\/a>\n <\/div>\n
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\n \n \n \n \"Platform\n <\/picture>\n <\/div>\n
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Platform Adoption as a Dynamic Capability<\/h4>\n
How SMEs overcome barriers to adoption of B2B collaboration platforms<\/div>
Nikolai Sch\u00e4fer<\/a> \n \"ORCID<\/a>, Marcel H\u00fclsbeck<\/a> \n \"ORCID<\/a><\/div>\n <\/td>\n <\/tr>\n <\/table>\n
\n Digital collaboration and innovation platforms offer SMEs significant potential to compensate for structural resource weaknesses and to participate in innovation ecosystems. Nevertheless, adoption in the B2B context remains low. This paper examines adoption barriers based on a systematic literature review using Teece\u2019s dynamic capabilities approach. The analysis suggests that recurring obstacles can be structured along three dimensions: Sensing\u2014lack of ecosystem awareness, absence of scanning routines; Seizing\u2014IP concerns, governance uncertainty, adoption fatigue; Reconfiguring\u2014closed-innovation culture, lack of absorptive capacity. Building on this, a practice-oriented capability-building framework is developed with recommendations for action. <\/div>\n <\/div>\n
Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 4 | Pages 42-48 | DOI 10.30844\/I4SE.26.4.5<\/a><\/div> <\/div>\n <\/div>\n <\/a>\n <\/div>\n
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\n \n \n \n \"Classification\n <\/picture>\n <\/div>\n
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Classification of Digital Supply Chain Management Platforms<\/h4>\n
Review of existing classification approaches from a circular economy perspective<\/div>
Sophia Botsch<\/a> \n \"ORCID<\/a>, Eva Mante<\/a> \n \"ORCID<\/a>, Marcel Papert<\/a> \n \"ORCID<\/a>, Alexander Pflaum<\/a> \n \"ORCID<\/a><\/div>\n <\/td>\n <\/tr>\n <\/table>\n
\n Assessing the impact of digital industrial platforms on the dynamics and resilience of supply chains requires clear classification of such platforms. This article examines the extent to which a current classification proposal from the field of supply chain management must be further developed in the context of digital platforms for implementing the circular economy (CE). The authors conclude that a fundamental revision is not necessary, as the digital CE platforms under consideration fit well into the existing classification system. However, new research questions arise regarding the distinction between digital service platforms and digital data-oriented platforms, as well as the link between the circular economy and supply chain management\u2014particularly in connection with supply chain control towers, which are becoming increasingly established in supply chain management practice. <\/div>\n <\/div>\n
Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 4 | Pages 62-70 | DOI 10.30844\/I4SE.26.4.7<\/a><\/div> <\/div>\n <\/div>\n <\/a>\n <\/div>\n
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A Competition Law Perspective on Interoperability<\/h4>\n
Definition, potential, and challenges<\/div>
Tim Becker<\/a><\/div>\n <\/td>\n <\/tr>\n <\/table>\n
\n The networking meetings of the research funding program \u201cDynamics of Digitally Networked Value Creation Systems (DynaVer)\u201d have shown that different disciplines disagree on what interoperability is and whether it is ultimately desirable. This article aims to shed light on the difficulties involved in developing a universally applicable and, at the same time, legally sound definition of interoperability. Furthermore, drawing on insights from competition economics, the article assesses whether and under what circumstances interoperability is a desirable outcome of regulation. <\/div>\n <\/div>\n
Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 4 | Pages 92-97 | DOI 10.30844\/I4SE.26.4.10<\/a><\/div> <\/div>\n <\/div>\n <\/a>\n <\/div>\n
\n \n
\n \n \n \n \"Towards\n <\/picture>\n <\/div>\n
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Towards Human-Centered Industrial AI Adoption<\/h4>\n
A reference architecture for machine vision demonstrators<\/div>
Bernd Kuhlenk\u00f6tter<\/a> \n \"ORCID<\/a><\/div>\n <\/td>\n <\/tr>\n <\/table>\n
\n Despite its potential, the introduction of artificial intelligence (AI) in industry is often delayed, primarily due to perceived complexity, high costs, and a lack of expertise. This article presents a modular demonstrator reference architecture that provides practical, low-cost access to industrial AI applications. Developed within a design science research approach, it specifically supports experimentation, learning, and gradual integration into existing production processes. The focus is on machine vision, implemented using cost-effective hardware and open-source software. Its applicability is demonstrated in three scenarios: quality control, chip classification, and in-company training. Initial evaluations confirm the technical feasibility, didactic relevance, and transferability to a variety of industrial contexts. <\/div>\n <\/div>\n
Industry 4.0 Science<\/strong> | Volume 41 | 2025 | Edition 5 | Pages 152-160 | DOI 10.30844\/I4SE.25.5.146<\/a><\/div> <\/div>\n <\/div>\n <\/a>\n <\/div>\n<\/div>\n\n","protected":false},"excerpt":{"rendered":"

The digital transformation of small and medium-sized enterprises (SMEs) in the manufacturing sector is hampered by vendor lock-in, high cloud costs, and stringent data sovereignty requirements when implementing Industrial Metaverse solutions. Although the Industrial Metaverse is quickly becoming a key concept in Industry 5.0, SMEs are often at a disadvantage when using proprietary solutions. This paper demonstrates how Industrial Metaverse applications can be realized by combining proven communication standards with open web technologies, thereby reducing barriers. This makes immersive applications for training, maintenance, and monitoring feasible even in SMEs. Using an open-source-based prototype as a best-practice implementation, the paper illustrates how the Industrial Metaverse can be made technologically and economically accessible to SMEs.<\/p>\n","protected":false},"featured_media":114061,"menu_order":0,"template":"","categories":[79167,79168,79298],"tags":[75910,80086,78520,79504,79449,79572,83873,84117,79634,80338,85901],"product_cat":[],"topic":[79319],"technology":[67717],"knowhow":[],"industry":[79496],"writer":[85780,85900],"content-type":[83932],"potential":[67894],"solution":[],"glossary":[],"class_list":["post-114062","article","type-article","status-publish","has-post-thumbnail","category-design-en","category-translate-en","category-typeset","tag-data-sovereignty","tag-digital-transformation-en","tag-digital-twins","tag-digitale-transformation-en","tag-digitalisierung-en","tag-digitalization-en","tag-industrial-metaverse-en","tag-opc-ua-2","tag-open-source-en","tag-smes-en","tag-webxr","topic-platforms","technology-simulation-en","industry-technical-services","writer-henning-strauss","writer-tim-johannsen","content-type-article","potential-innovation-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\/2026\/06\/Strauss_AdobeStock_1383522687_issaronow.webp",1400,653,false],"thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/06\/Strauss_AdobeStock_1383522687_issaronow-150x150.webp",150,150,true],"medium":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/06\/Strauss_AdobeStock_1383522687_issaronow-764x356.webp",764,356,true],"medium_large":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/06\/Strauss_AdobeStock_1383522687_issaronow-768x358.webp",768,358,true],"large":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/06\/Strauss_AdobeStock_1383522687_issaronow-1024x478.webp",1020,476,true],"front-page-entry":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/06\/Strauss_AdobeStock_1383522687_issaronow-1032x320.webp",1032,320,true],"post-entry":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/06\/Strauss_AdobeStock_1383522687_issaronow-764x376.webp",764,376,true],"post-teaser":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/06\/Strauss_AdobeStock_1383522687_issaronow-392x320.webp",392,320,true],"post-teaser-mobile":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/06\/Strauss_AdobeStock_1383522687_issaronow-608x496.webp",608,496,true],"post-custom-size":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/06\/Strauss_AdobeStock_1383522687_issaronow-640x325.webp",640,325,true],"whitepaper-teaser":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/06\/Strauss_AdobeStock_1383522687_issaronow-274x376.webp",274,376,true],"card-big":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/06\/Strauss_AdobeStock_1383522687_issaronow-514x292.webp",514,292,true],"card-portrait":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/06\/Strauss_AdobeStock_1383522687_issaronow-320x440.webp",320,440,true],"card-big-company":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/06\/Strauss_AdobeStock_1383522687_issaronow-514x240.webp",514,240,true],"gp-listing":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/06\/Strauss_AdobeStock_1383522687_issaronow-196x180.webp",196,180,true],"1536x1536":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/06\/Strauss_AdobeStock_1383522687_issaronow.webp",1400,653,false],"2048x2048":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/06\/Strauss_AdobeStock_1383522687_issaronow.webp",1400,653,false],"woocommerce_thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/06\/Strauss_AdobeStock_1383522687_issaronow-510x510.webp",510,510,true],"woocommerce_single":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/06\/Strauss_AdobeStock_1383522687_issaronow-510x238.webp",510,238,true],"woocommerce_gallery_thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/06\/Strauss_AdobeStock_1383522687_issaronow-100x100.webp",100,100,true],"dgwt-wcas-product-suggestion":["https:\/\/industry-science.com\/wp-content\/uploads\/2026\/06\/Strauss_AdobeStock_1383522687_issaronow-64x30.webp",64,30,true]},"uagb_author_info":{"display_name":"Chloe Hayward","author_link":"https:\/\/industry-science.com\/en\/author\/"},"uagb_comment_info":0,"uagb_excerpt":"The digital transformation of small and medium-sized enterprises (SMEs) in the manufacturing sector is hampered by vendor lock-in, high cloud costs, and stringent data sovereignty requirements when implementing Industrial Metaverse solutions. Although the Industrial Metaverse is quickly becoming a key concept in Industry 5.0, SMEs are often at a disadvantage when using proprietary solutions. This…","_links":{"self":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/article\/114062","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\/114061"}],"wp:attachment":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/media?parent=114062"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/categories?post=114062"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/tags?post=114062"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/product_cat?post=114062"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/topic?post=114062"},{"taxonomy":"technology","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/technology?post=114062"},{"taxonomy":"knowhow","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/knowhow?post=114062"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/industry?post=114062"},{"taxonomy":"writer","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/writer?post=114062"},{"taxonomy":"content-type","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/content-type?post=114062"},{"taxonomy":"potential","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/potential?post=114062"},{"taxonomy":"solution","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/solution?post=114062"},{"taxonomy":"glossary","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/glossary?post=114062"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}