{"id":108525,"date":"2025-04-15T12:00:00","date_gmt":"2025-04-15T10:00:00","guid":{"rendered":"https:\/\/industry-science.com\/?post_type=article&#038;p=108525"},"modified":"2025-04-01T14:59:29","modified_gmt":"2025-04-01T12:59:29","slug":"intralab-learning-factory","status":"publish","type":"article","link":"https:\/\/industry-science.com\/en\/articles\/intralab-learning-factory\/","title":{"rendered":"The \u201cInTraLab\u201d Learning Factory"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">InTraLab<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Learning factories enable simulations of products, processes and resources in an experience-oriented learning environment. These interdisciplinary and multidimensional learning situations support learners in developing the necessary skills through the direct application of learning content. New technologies and associated processes can also be tried out. The possibility of customizing the configuration of practice-oriented learning content to the learners&#8217; experience turns <a href=\"https:\/\/industry-science.com\/en\/e-journals\/i4s-4-learning-factories\/\">learning factories<\/a> into a didactic instrument that considers both individual interests and entrepreneurial needs [1, 2].<\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8f761849 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1000\" height=\"863\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/Teichmann_Bild-1.jpg\" alt=\"Floor plan of InTraLab.\" class=\"wp-image-108402\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/Teichmann_Bild-1.jpg 1000w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/Teichmann_Bild-1-435x375.jpg 435w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/Teichmann_Bild-1-768x663.jpg 768w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/Teichmann_Bild-1-338x292.jpg 338w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/Teichmann_Bild-1-510x440.jpg 510w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/Teichmann_Bild-1-64x55.jpg 64w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/><figcaption class=\"wp-element-caption\"><em>Figure 1: Floor plan of InTraLab.<\/em><\/figcaption><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<p class=\"wp-block-paragraph\">The learning factory in the <em>Industrial Transformation Lab <\/em>(InTraLab) at the Chair of Business Informatics, esp. Processes and Systems serves as a learning environment where changes in human work can be learned in the midst of digital artifacts (e.g. assistance systems, robots, 3D printing, etc.). Hybrid production processes are modeled and simulated for this purpose. Figure 1 illustrates the floor plan of the <em>InTraLab<\/em>.<\/p>\n<\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Learning in hybrid simulation environments<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The<em> InTraLab <\/em>simulation environment is based on a hybrid approach to factory modeling, combining a physical model factory with <a href=\"https:\/\/industry-science.com\/en\/articles\/simulated-production-environment\/\">computer-aided simulation<\/a>. The most suitable form of implementation can be selected for each component of the simulation. This allows the configuration of the necessary production objects (machines, workpiece carriers, etc.) to be flexibly integrated into the desired variant of the production process\u2014regardless of whether they are realized as a physical original, physical model or in virtual form.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This enables the mapping of the required scenario in the model factory. The practical implementation of this hybrid concept is achieved through a combination of physical and virtual models, so-called demonstrators, which represent the central elements of the simulation environment. The interaction of these demonstrators facilitates the representation and simulation of entire production processes [3]. The demonstrators are available in both stationary and mobile versions (Figure 2).<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1000\" height=\"443\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/Teichmann_Bild-2.jpg\" alt=\"Overview of demonstrators in the InTraLab\" class=\"wp-image-108400\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/Teichmann_Bild-2.jpg 1000w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/Teichmann_Bild-2-764x338.jpg 764w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/Teichmann_Bild-2-768x340.jpg 768w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/Teichmann_Bild-2-514x228.jpg 514w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/Teichmann_Bild-2-510x226.jpg 510w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/Teichmann_Bild-2-64x28.jpg 64w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/><figcaption class=\"wp-element-caption\"><em>Figure 2: Overview of demonstrators in the InTraLab.<\/em><\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Each demonstrator is a modular unit that configures the parameters of a specific production object in a box. Interface and communication modules allow the demonstrators to interact with other components (e.g. robots) and to be easily expanded, for instance by adding additional sensors (e.g. augmented reality glasses) or actuators (e.g. a fog machine). The machining process is visualized on both the front and back of the demonstrators. The user interface for human-machine interaction is located on top of the demonstrators and provides relevant information about product, process and order [3]. By approximating real production, simulation aids in developing essential skills for digitally transformed work [2, 4].<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">The didactic concept<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The didactic offer of the <em>InTraLab <\/em>includes targeted program planning (e.g.&nbsp; the survey of learning interests) at the <em>macrodidactics <\/em>level. The <em>mesodidactics <\/em>level describes the conception (e.g. the selection of suitable subject areas that address the identified needs) and implementation&nbsp; of continuous education projects (e.g. the preparation of content in a suitable form). At the <em>microdidactics <\/em>level, the design of specific teaching and learning situations is described (Figure 3) [4].<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1000\" height=\"452\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/Teichmann_Bild-3.jpg\" alt=\"Didactic concept InTraLab\" class=\"wp-image-108398\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/Teichmann_Bild-3.jpg 1000w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/Teichmann_Bild-3-764x345.jpg 764w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/Teichmann_Bild-3-768x347.jpg 768w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/Teichmann_Bild-3-514x232.jpg 514w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/Teichmann_Bild-3-510x231.jpg 510w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/Teichmann_Bild-3-64x29.jpg 64w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/><figcaption class=\"wp-element-caption\"><em>Figure 3: Didactic concept InTraLab.<\/em><\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">A distinctive feature of the <em>InTraLab <\/em>is its flexibility: Real production processes can be simulated within the system, allowing participants to engage directly with workpieces and machines in real-time. These processes, enriched with learning opportunities, are defined as <em>learning scenarios<\/em>. Alongside developing individual competence, specific skills (e.g. programming) or soft skills (e.g. communication skills) can be trained.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"482\" height=\"1024\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/Teichmann_Figure-4-482x1024.jpg\" alt=\"Potential of modern IIoT technologies in machine maintenance\" class=\"wp-image-108528\" style=\"width:452px;height:auto\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/Teichmann_Figure-4-482x1024.jpg 482w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/Teichmann_Figure-4-176x375.jpg 176w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/Teichmann_Figure-4-768x1633.jpg 768w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/Teichmann_Figure-4-137x292.jpg 137w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/Teichmann_Figure-4-722x1536.jpg 722w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/Teichmann_Figure-4-510x1084.jpg 510w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/Teichmann_Figure-4-64x136.jpg 64w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/Teichmann_Figure-4.jpg 800w\" sizes=\"auto, (max-width: 482px) 100vw, 482px\" \/><figcaption class=\"wp-element-caption\"><em>Figure 4: Potential of modern IIoT technologies in machine maintenance.<\/em><\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Skill development within learning scenarios<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Figure 3 illustrates the didactic structure of the example scenario \u201cPotential of mobile IIoT technologies in machine maintenance\u201d. In this scenario, the participants assume the role of a person responsible for the maintenance of the machines. This role enables the participants to experience the entire quality assurance process from the inspection of a workpiece to the decision on how to proceed. In the <em>learning scenario<\/em>, learners are confronted with the challenges of digitally transformed work and learn how these can be overcome using IIoT technologies [1].<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In addition to <em>learning scenarios, learning modules <\/em>are also utilized, allowing for targeted use based on the learning interests of the participants.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">An overview of learning modules<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The <em>learning modules <\/em>are a central element of the didactic concept of the <em>InTraLab<\/em>. They enable the structured but also sufficiently flexible design of further education projects. The starting point for further education projects is\u00a0 a teaching and learning agreement that addresses both the participants&#8217; learning objectives and the company&#8217;s skills requirements. One-day and multi-day training courses are put together on the basis of this catalog of modules according to these identified and formalized needs . The aim is to develop a mixture of theoretical-conceptual modules and practice-oriented modules. The duration of the training courses created in this way varies. Table 1 provides an overview of the various modules.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1000\" height=\"879\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/Teichmann_Figure-5.jpeg\" alt=\"Learning modules of the InTraLab\" class=\"wp-image-108530\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/Teichmann_Figure-5.jpeg 1000w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/Teichmann_Figure-5-427x375.jpeg 427w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/Teichmann_Figure-5-768x675.jpeg 768w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/Teichmann_Figure-5-332x292.jpeg 332w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/Teichmann_Figure-5-510x448.jpeg 510w, https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/Teichmann_Figure-5-64x56.jpeg 64w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/><figcaption class=\"wp-element-caption\"><em>Figure 5: Learning modules of the InTraLab.<\/em><\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Maximum immersion for learners in the InTraLab<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Insummary, the <em>InTraLab <\/em>makes it possible to test modern technologies such as augmented and virtual reality, collaborative robots (cobots), networked machines and intelligent assistance systems in a practical way while also obtaining the necessary skills. The combination of real and simulated production entities guarantees a high degree of immersion for learners. The didactic approach makes it possible to address individual learning interests and operational competence requirements with the help of a modular system and learning scenarios.<\/p>\n<hr><div class=\"gito-pub-content-bibliography\"><h2>Bibliography <\/h2>[1] Gronau, N.; Teichmann, M.; Ullrich, A.: Development of the Industrial IoT Competences in the Areas of Organization, Process, and Interaction Based on the Learning Factory Concept. In: Procedia Manufacturing 2017, p. 8.\r<br>[2] Teichmann, M.; Lettkemann, V.; Gronau, N.: Digitalization, Demographic Change and Decarbonization: Eight Pivotal Competencies for Learning Factories. Twente 2024.\r<br>[3] Lass, S.: Simulationskonzept zur Nutzenvalidierung cyber-physischer Systeme in komplexen Fabrikumgebungen. Potsdam 2017.\r<br>[4] Teichmann, M.; Vladova, G.; Gronau, N.: Putting Subject-Oriented Learning into Practice &#8211; A meso-didactic design framework for learning scenarios for manufacturing. In: SSRN Electronic Journal (2023).<\/div><br>Potentials: <span class=\"gito-pub-tag-element\"><a href=\"\/potentials\/training\/\">Training<\/a><\/span> <br>Solutions: <span class=\"gito-pub-tag-element\"><a href=\"\/en\/functions\/assembly\/\">Assembly<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/en\/functions\/production-control\/\">Production Control<\/a><\/span> <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\/augmented-reality-en\/\">Augmented Reality<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/gamification-en\/\">Gamification<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/serious-games-en\/\">serious games<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/virtual-reality-en\/\">Virtual Reality<\/a><\/span> <br>Industries: <span class=\"gito-pub-tag-element\"><a href=\"https:\/\/industry-science.com\/en\/industries\/manufacturing-en\/\">Manufacturing<\/a><\/span> <\/div><div><div class=\"social-icons share-icons share-row relative\" ><a href=\"whatsapp:\/\/send?text=The%20%E2%80%9CInTraLab%E2%80%9D%20Learning%20Factory - https:\/\/industry-science.com\/en\/articles\/intralab-learning-factory\/\" 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\/intralab-learning-factory\/\" data-label=\"Facebook\" onclick=\"window.open(this.href,this.title,'width=500,height=500,top=300px,left=300px'); 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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\/site-assessment-for-flexible-intralogistics-in-brownfield-sites\/\">\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\/06\/Schierbaum_AdobeStock_1925965279_MaryAnn-640x325.webp\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/06\/Schierbaum_AdobeStock_1925965279_MaryAnn-196x180.webp\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/06\/Schierbaum_AdobeStock_1925965279_MaryAnn-196x180.webp\" alt=\"Site Assessment for Flexible Intralogistics in Brownfield Sites\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Site Assessment for Flexible Intralogistics in Brownfield Sites\">                  <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;\">Site Assessment for Flexible Intralogistics in Brownfield Sites<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Innovative decision support in practice<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/jolanda-schierbaum\/\">Jolanda Schierbaum<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/carsten-feldmann-en\/\">Carsten Feldmann<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/lars-renhof\/\">Lars Renhof<\/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\/site-assessment-for-flexible-intralogistics-in-brownfield-sites\/\" 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>Due to its dynamic environment, space planning in intralogistics is not a one-time task but a recurring decision-making process subject to numerous constraints imposed by existing infrastructure. Decisions are often based on incomplete data, resulting in a high risk of poor planning decisions and inefficient use of space. This paper presents a practice-oriented process model for space evaluation in brownfield projects. The proposed approach improves the standardization and consistency of space evaluation and promotes best practices among all stakeholders. By supporting systematic decision-making, the process model contributes to optimized planning and resource allocation, thereby reducing risks and avoiding costly implementation errors.The process model is demonstrated through a case study conducted at a commercial vehicle manufacturer.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 3 | Pages 124-133<\/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\/experiments-learning-factories\/\">\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\/04\/AdobeStock_1765062059_Design-Praxis-640x325.webp\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/04\/AdobeStock_1765062059_Design-Praxis-196x180.webp\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/04\/AdobeStock_1765062059_Design-Praxis-196x180.webp\" alt=\"Conducting Experiments in Hybrid Learning Factories\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:185px;overflow:hidden;\" title=\"Conducting Experiments in Hybrid Learning Factories\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\">Conducting Experiments in Hybrid Learning Factories<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">The example of the InTraLab Potsdam<\/div>                        <\/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\/experiments-learning-factories\/\" 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>\nIndustrial production is undergoing rapid transformation through digitalization, automation and cyber-physical systems, creating new competence requirements for employees. Learning factories provide experiential environments for developing these competences. This article presents the Industrial Transformation Lab (InTraLab) as a hybrid learning factory combining physical demonstrators and digital simulations.                  <\/div>\n               <\/div>\n            <\/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\/learning-factories-future-brazil\/\">\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\/04\/AdobeStock_521020784_Gorodenkoff-640x325.webp\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/04\/AdobeStock_521020784_Gorodenkoff-196x180.webp\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/04\/AdobeStock_521020784_Gorodenkoff-196x180.webp\" alt=\"Learning Factories for the Future of Manufacturing in Brazil\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:185px;overflow:hidden;\" title=\"Learning Factories for the Future of Manufacturing in Brazil\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\">Learning Factories for the Future of Manufacturing in Brazil<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Advancing manufacturing through technology and skills development<\/div>                        <\/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\/learning-factories-future-brazil\/\" 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>\nManufacturing firms in developing countries face challenges in closing productivity gaps while adopting Industry 4.0 technologies. Learning factories are one helpful approach to countering these challenges. One such example is the learning factory F\u00e1brica do Futuroin S\u00e3o Paulo, Brazil, which has engaged students, supported competence development, and collaborated with industry in applied research, functioning as a hub for advanced manufacturing initiatives.                  <\/div>\n               <\/div>\n            <\/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\/ai-industrial-quality-control\/\">\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\/01\/Uenal_AdobeStock_1653851064_Stock-640x325.webp\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/01\/Uenal_AdobeStock_1653851064_Stock-196x180.webp\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/01\/Uenal_AdobeStock_1653851064_Stock-196x180.webp\" alt=\"AI Implementation in Industrial Quality Control\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"AI Implementation in Industrial Quality Control\">                  <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 Implementation in Industrial Quality Control<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">A design science approach bridging technical and human factors<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/erdi-unal\/\">Erdi \u00dcnal<\/a> <a href=\"https:\/\/orcid.org\/0009-0007-2809-030X\" 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\/kathrin-nauth\/\">Kathrin Nauth<\/a> <a href=\"https:\/\/orcid.org\/0009-0007-3457-102X\" 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\/pavlos-rath-manakidis\/\">Pavlos Rath-Manakidis<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/jens-poeppelbuss\/\">Jens P\u00f6ppelbu\u00df<\/a> <a href=\"https:\/\/orcid.org\/0000-0003-4960-7818\" 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\/felix-hoenig\/\">Felix Hoenig<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/christian-meske\/\">Christian Meske<\/a> <a href=\"https:\/\/orcid.org\/0000-0001-5637-9433\" 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                     Artificial intelligence (AI) offers significant potential to enhance industrial quality control, yet successful implementation requires careful consideration of ethical and human factors. This article examines how automated surface inspection systems can be deployed to augment human capabilities while ensuring ethical integration into workflows. Through design science research, twelve stakeholders from six organizations across three continents are interviewed and twelve sociotechnical design requirements are derived. These are organized into pre-implementation and implementation\/operation phases, addressing human agency, employee participation, and responsible knowledge management. Key findings include the critical importance of meaningful employee participation during pre-implementation, and maintaining human agency through experiential learning, building on existing expertise. This research contributes to ethical AI workplace implementation by providing guidelines that preserve human ...                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 1 | Pages 120-127 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.26.1.112\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.26.1.112<\/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\/guidelines-fair-use-generative-ai\/\">\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\/01\/Gerlmaier_AdobeStock_1847585259_master1305-640x325.jpg\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/01\/Gerlmaier_AdobeStock_1847585259_master1305-196x180.jpg\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/01\/Gerlmaier_AdobeStock_1847585259_master1305-196x180.jpg\" alt=\"Guidelines for the Fair Use of Generative AI\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Guidelines for the Fair Use of Generative AI\">                  <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;\">Guidelines for the Fair Use of Generative AI<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Practical examples from production management and social welfare<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/anja-gerlmaier\/\">Anja Gerlmaier<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/paul-fiete-kramer\/\">Paul-Fiete Kramer<\/a> <a href=\"https:\/\/orcid.org\/0000-0001-9602-4952\" 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\/dirk-marrenbach-en\/\">Dirk Marrenbach<\/a> <a href=\"https:\/\/orcid.org\/0000-0001-6890-6966\" 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\/rene-wenzel\/\">Ren\u00e9 Wenzel<\/a> <a href=\"https:\/\/orcid.org\/0009-0002-8315-2407\" 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                     With the rapid spread of assistive AI tools such as ChatGPT, Gemini, and Copilot, companies are being challenged to address the opportunities and challenges of artificial intelligence. Based on two practical examples, this article provides insight into how companies can use company-specific risk and potential analyses to develop guidelines for the fair and responsible use of AI.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 1 | Pages 22-28 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.26.1.22\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.26.1.22<\/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\/ai-assembly-workplace-design\/\">\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\/02\/Tuli_AdobeStock_1665432467_Grispb-640x325.webp\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/02\/Tuli_AdobeStock_1665432467_Grispb-196x180.webp\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/02\/Tuli_AdobeStock_1665432467_Grispb-196x180.webp\" alt=\"Applied AI for Human-Centric Assembly Workplace Design\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Applied AI for Human-Centric Assembly Workplace Design\">                  <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;\">Applied AI for Human-Centric Assembly Workplace Design<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">An ethics-informed approach<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/tadele-belay-tuli\/\">Tadele Belay Tuli<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-6769-0646\" 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\/michael-jonek\/\">Michael Jonek<\/a> <a href=\"https:\/\/orcid.org\/0000-0003-2489-6991\" 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\/sascha-niethammer\/\">Sascha Niethammer<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/henning-vogler-en\/\">Henning Vogler<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/martin-manns-en\/\">Martin Manns<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-1027-4465\" 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                     Artificial intelligence (AI) can enhance smart assembly by predicting human motion and adapting workplace design. Using probabilistic models such as Gaussian Mixture Models (GMMs), AI systems anticipate operator actions to improve coordination with robots. However, these predictive systems raise ethical concerns related to safety, fairness, and privacy under the EU AI Act, which classifies them as high-risk. This paper presents a conceptual method integrating probabilistic motion modeling with ethical evaluation via Z-Inspection\u00ae. An industrial case study using the Smart Work Assistant (SWA) demonstrates how multimodal sensing (motion, gaze) and interpretable models enable anticipatory assistance. The approach moves from ethics evaluation to ethics-informed work design, yielding transferable principles and a configurable assessment matrix that supports compliance-by-design in collaborative assembly.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 1 | Pages 60-68 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.26.1.58\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.26.1.58<\/a><\/div>            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n<\/div>\n<!-- GITO_PUB_POST end flex-container -->\n","protected":false},"excerpt":{"rendered":"<p>Learning factories offer a practical environment for simulating production processes in which learners can acquire skills through the direct application of new technologies. The Industrial Transformation Lab (InTraLab) models hybrid production processes by combining real-world demonstrators and virtual simulations. This enables learners to acquire the skills that are crucial for the digitally transformed world of work.<\/p>\n","protected":false},"featured_media":108392,"menu_order":0,"template":"","categories":[79167,79298],"tags":[79349,84178,84180,83876],"product_cat":[79304],"topic":[68760,69611],"technology":[67717,68059],"knowhow":[],"industry":[79494],"writer":[82856,80397],"content-type":[83932],"potential":[67726],"solution":[69358,67776],"glossary":[],"class_list":["post-108525","article","type-article","status-publish","has-post-thumbnail","category-design-en","category-typeset","tag-augmented-reality-en","tag-gamification-en","tag-serious-games-en","tag-virtual-reality-en","product_cat-articles","topic-factory-design","topic-internet-of-things-en","technology-simulation-en","technology-training","industry-manufacturing-en","writer-malte-teichmann-en","writer-norbert-gronau-en","content-type-article","potential-training","solution-assembly","solution-production-control","product","first","instock","downloadable","virtual","sold-individually","taxable","purchasable","product-type-article"],"uagb_featured_image_src":{"full":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/AdobeStock_559838209.jpeg",1400,788,false],"thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/AdobeStock_559838209-150x150.jpeg",150,150,true],"medium":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/AdobeStock_559838209-666x375.jpeg",666,375,true],"medium_large":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/AdobeStock_559838209-768x432.jpeg",768,432,true],"large":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/AdobeStock_559838209-1024x576.jpeg",1020,574,true],"front-page-entry":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/AdobeStock_559838209-1032x320.jpeg",1032,320,true],"post-entry":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/AdobeStock_559838209-764x376.jpeg",764,376,true],"post-teaser":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/AdobeStock_559838209-392x320.jpeg",392,320,true],"post-teaser-mobile":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/AdobeStock_559838209-608x496.jpeg",608,496,true],"post-custom-size":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/AdobeStock_559838209-640x325.jpeg",640,325,true],"whitepaper-teaser":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/AdobeStock_559838209-274x376.jpeg",274,376,true],"card-big":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/AdobeStock_559838209-514x292.jpeg",514,292,true],"card-portrait":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/AdobeStock_559838209-320x440.jpeg",320,440,true],"card-big-company":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/AdobeStock_559838209-514x289.jpeg",514,289,true],"gp-listing":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/AdobeStock_559838209-196x180.jpeg",196,180,true],"1536x1536":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/AdobeStock_559838209.jpeg",1400,788,false],"2048x2048":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/AdobeStock_559838209.jpeg",1400,788,false],"woocommerce_thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/AdobeStock_559838209-510x510.jpeg",510,510,true],"woocommerce_single":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/AdobeStock_559838209-510x287.jpeg",510,287,true],"woocommerce_gallery_thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/AdobeStock_559838209-100x100.jpeg",100,100,true],"dgwt-wcas-product-suggestion":["https:\/\/industry-science.com\/wp-content\/uploads\/2025\/03\/AdobeStock_559838209-64x36.jpeg",64,36,true]},"uagb_author_info":{"display_name":"Florian Goldmann","author_link":"https:\/\/industry-science.com\/en\/author\/"},"uagb_comment_info":0,"uagb_excerpt":"Learning factories offer a practical environment for simulating production processes in which learners can acquire skills through the direct application of new technologies. The Industrial Transformation Lab (InTraLab) models hybrid production processes by combining real-world demonstrators and virtual simulations. This enables learners to acquire the skills that are crucial for the digitally transformed world of&hellip;","_links":{"self":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/article\/108525","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\/108392"}],"wp:attachment":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/media?parent=108525"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/categories?post=108525"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/tags?post=108525"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/product_cat?post=108525"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/topic?post=108525"},{"taxonomy":"technology","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/technology?post=108525"},{"taxonomy":"knowhow","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/knowhow?post=108525"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/industry?post=108525"},{"taxonomy":"writer","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/writer?post=108525"},{"taxonomy":"content-type","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/content-type?post=108525"},{"taxonomy":"potential","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/potential?post=108525"},{"taxonomy":"solution","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/solution?post=108525"},{"taxonomy":"glossary","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/glossary?post=108525"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}