{"id":95103,"date":"2024-02-15T12:00:00","date_gmt":"2024-02-15T11:00:00","guid":{"rendered":"https:\/\/industry-science.com\/?post_type=article&#038;p=95103"},"modified":"2025-02-04T16:48:18","modified_gmt":"2025-02-04T15:48:18","slug":"sustainability-manufacturing","status":"publish","type":"article","link":"https:\/\/industry-science.com\/en\/articles\/sustainability-manufacturing\/","title":{"rendered":"Sustainability in Industrial Manufacturing"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">According to the German DIN 8580, the manufacturing technology of additive manufacturing is considered one of the casting manufacturing processes, as the layer-by-layer structure is used to shape the workpiece [1]. The applications of these processes range from general mechanical engineering [2] to more specialized applications in biotechnology [3].<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The possibilities of additive manufacturing with plastics include various manufacturing processes such as stereolithography (SLA), selective laser sintering (SLS), fused filament fabrication (FFF) or fused granular fabrication (FGF). All of these processes enable the production of prototypes or components with complex structures that are difficult or costly to manufacture using conventional manufacturing processes [4].<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The production of items with complex geometries, especially using FFF or FGF, often requires support structures that can be collected by type after their removal. Around 55% of the waste generated in additive manufacturing is made up of defective prints \u2013 for example, due to detachment from the printing plate or faults during the printing process \u2013 and around 45% results from support structures [5].<br>Another source of plastic waste is packaging from everyday or industrial use. In 2021, conventional packaging accounted for the largest proportion of plastic consumption, at 31.2% [6]. In the automotive industry, disposable products such as transport caps offer the opportunity to collect larger quantities of a particular type of plastic. In most cases, this type of waste can be cleaned and sorted by individual type.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Plastic waste and industrial waste need to be processed as resource-efficiently as possible and made usable for additive manufacturing.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Material preparation for circular use<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Printing waste or leftover plastic are prepared in cascading steps for recycling and reuse in additive manufacturing. Waste from 3D printing is collected by type and shredded immediately after it is generated.<br>Industrial, clean or purified plastics are separated as accurately as possible, e.g. using a sorting machine. A demonstration of the sorting process was set up in the Innovation Lab for Digitalisation at the Environmental Campus Birkenfeld [7]. Based on a camera system and the corresponding image evaluation, efficient sorting is carried out by sorting different groups of items on a conveyor belt according to shape and color. The relevant plastic types can be programmed for the sorting process. The system in the Makerspace is used in particular to illustrate the chain of processes involved for students and interested visitors.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In the second processing step, the plastic waste is shredded. Depending on the size of the items, this takes place in a multi-stage process. Pre-shredding can be carried out mechanically or manually. Conventional tools such as a hand saw or band saw are used. The required fineness is achieved using a granulator, for example, as a final step. In the shredding process, the waste is then shredded into flakes. The rotor in the granulator has sharpened cutting edges which shred the particles thrown in against the stationary blades mounted in the cutting chamber. Due to the selected mesh size of the cartridge used, only particles that are smaller than this mesh size reach the collection tray. The larger particles remain in the cutting chamber until the desired size is achieved by the repetitive shredding process (Fig. 1).<\/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=\"920\" height=\"719\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/Wahl_I4S-24-1_Figure-1-1.jpg\" alt=\"Schematic structure of a granulator\" class=\"wp-image-103342\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/Wahl_I4S-24-1_Figure-1-1.jpg 920w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/Wahl_I4S-24-1_Figure-1-1-510x399.jpg 510w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/Wahl_I4S-24-1_Figure-1-1-64x50.jpg 64w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/Wahl_I4S-24-1_Figure-1-1-480x375.jpg 480w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/Wahl_I4S-24-1_Figure-1-1-768x600.jpg 768w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/Wahl_I4S-24-1_Figure-1-1-374x292.jpg 374w\" sizes=\"auto, (max-width: 920px) 100vw, 920px\" \/><figcaption class=\"wp-element-caption\"><em>Figure 1: Schematic structure of a granulator.<\/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\">Preliminary tests have shown that a particle size of 2.5-3.5 mm is optimal for the subsequent extrusion process of small quantities of up to approx. 3 kg\/h. This corresponds approximately to the size of standard new materials in filament production. A downstream screening process with a commercially available sieve tower separates the optimally sized particles from smaller and larger elements of the recyclate.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Before further processing, the desired mixtures of recyclate composed of different particle sizes and new granulate are produced.&nbsp;<\/p>\n<\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Filament production from recyclate<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Filament production is an option for recycling plastics for additive manufacturing that has already been investigated many times. Filament is the name given to the plastic thread wound onto a roll that is used for FFF printing. This process enables the recycling of various plastic waste for filament-based 3D printing after the material is prepared as described above. Screw extruders are used to melt the recycled material, which is usually mixed with new granulate, and the filament is produced through a controlled outlet from the tool nozzle (Fig. 2) [8].<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The extruded filament degrades depending on the number of recycling cycles and the amount of new granulate added. Test methods and material tests such as the tensile test or the Charpy impact test can be used to draw conclusions about the degradation. For example, degradation during material recycling was investigated using polyactide (PLA), a type of plastic frequently used in 3D printing [9], and PETG [10]. The work deals with the repeated recycling process of plastic waste from the field of additive manufacturing and its effect on the mechanical properties after reuse of the recycled material. After the filament production and the evaluation of the test specimens in the material tests, only a minimal decrease in the mechanical properties was observed.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Contamination of the recyclate with foreign particles is a critical issue in filament production. If these particles have a significantly higher melting point than the processed material, the extruder nozzle may become blocked, resulting in time-consuming cleaning.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The use of recycled plastics in a pellet extruder offers a more resource-efficient option for recycling \u2013 particularly as filament production is no longer required.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This process step is eliminated by melting and printing the crushed particles directly in a 3D printer.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Filament diameters of 1.75 mm and 2.85 mm in combination with a tool nozzle diameter of 0.4 mm have become established for the FFF process. The use of a pellet extruder enables the use of larger nozzles, e.g. 3 mm or 5 mm. Compared to filament production, use of the extruder allows larger foreign particles to be co-extruded and maintenance times to be reduced. A larger nozzle also enables a greater mass flow and a faster building rate for the printed objects.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Building a 3D pellet printer to improve resource efficiency<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Based on the preliminary investigations into the recycling of the plastic used, a screw extruder is used in a 3D printer. A pellet extruder from DyzeDesign is used in the large-capacity 3D printer that has been developed (Figure 3). Using three individually adjustable heating zones, the single-screw extruder generates a mass flow of up to 2.5 kg\/h [11]. With a maximum temperature of up to 500 \u00b0C, the use of conventional plastics such as PLA through to engineering plastics is possible. The variable nozzle diameters of 1, 3 and 5 mm allow for the use of the planned build chamber of 800 mm x 800 mm x 800 mm designed for the in-house printer. A series of steps were taken to optimize the mechanics, electrics and control of the printer in the Pellet-3D project.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The design of the device is based on a Cartesian printer. Adjustment in the Z direction is carried out by means of a gantry via ball screws.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A heatable print bed and the 3D printer enclosure allow the temperature of the build chamber to be regulated. The plastic mixtures are pneumatically conveyed from an external tank to the extruder. For small-scale tests, the material can be stored in a hopper attached to the extruder. Initial material tests with the desired mixtures are possible with a separate test\/adjustment station (Fig. 3).<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/Wahl_I4S-24-1_Figure-2-1024x576.jpg\" alt=\"Schematic structure of a screw extruder\" class=\"wp-image-103338\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/Wahl_I4S-24-1_Figure-2-1024x576.jpg 1024w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/Wahl_I4S-24-1_Figure-2-510x287.jpg 510w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/Wahl_I4S-24-1_Figure-2-64x36.jpg 64w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/Wahl_I4S-24-1_Figure-2-667x375.jpg 667w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/Wahl_I4S-24-1_Figure-2-768x432.jpg 768w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/Wahl_I4S-24-1_Figure-2-514x289.jpg 514w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/Wahl_I4S-24-1_Figure-2.jpg 1280w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\"><em>Figure 2: Schematic structure of a screw extruder.<\/em><\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">The lower part of the printer houses the electrics and the necessary control elements. The position of the printing bed at a height of approx. 500 mm makes it easier to ergonomically remove the occasionally heavy printed components from the printing surface. Due to the closed installation space and the different plastics that can be used, the clamping bed with print support has special design features. The integrated slotted holes for fastening the aluminum bed to the steel frame allow for uneven linear expansion when the temperature of the frame and the print bed changes.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The clamping mechanism allows the printing surface to be changed quickly without the use of a vacuum clamping bed. Changing the printing mats ensures the necessary print bed adhesion for the plastics to be used and thus reduces misprints. The building chamber in the upper part of the device is guided on a gantry in order to move the extruder. The use of recirculating ball screws on the movement devices ensures less friction and lower energy consumption.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">At the rear of the printer, the two containers, each with a capacity of 30 liters, enable the storage of two different materials. The material is conveyed via a compressed air-driven Venturi nozzle, an electrical control box and a capacitive fill level sensor on the storage hopper of the respective extruder.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">When changing materials, set-up times play a particularly important role from a manufacturing perspective. For a quick changeover, an extruder previously filled with a specific material can be replaced within a few minutes using the quick-change mechanism. The extruder is pre-filled or cleaned at the test station. This offers the possibility of the aforementioned aspects and the pre-testing of new materials. Temperature fields, extrusion parameters and flow rates are adjusted in advance. The material profiles created can be easily transferred between the station and the printer via the user-friendly web interface.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Use of recyclate in the extrusion process<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Based on the use of recyclate in the injection molding industry, initial tests are being carried out with mixtures of recyclate and virgin material. The materials used are unmixed PLA plastic waste from the laboratory and Natureworks Ingeo 4043D pellets. A direct comparison of the flakes with fresh pellets reveals a clear difference in shape. While virgin material is usually found in lentil, ball or pellet form, the regrind is angular flakes.\u00a0<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1000\" height=\"563\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/Wahl_I4S-24-1_Figure-3.jpg\" alt=\"Pellet 3D printer and enlarged material feed (left)\" class=\"wp-image-103336\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/Wahl_I4S-24-1_Figure-3.jpg 1000w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/Wahl_I4S-24-1_Figure-3-510x287.jpg 510w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/Wahl_I4S-24-1_Figure-3-64x36.jpg 64w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/Wahl_I4S-24-1_Figure-3-666x375.jpg 666w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/Wahl_I4S-24-1_Figure-3-768x432.jpg 768w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/Wahl_I4S-24-1_Figure-3-514x289.jpg 514w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/><figcaption class=\"wp-element-caption\"><em>Figure 3: Pellet 3D printer and enlarged material feed (left).<\/em><\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">In the Pellet-3D project, the conveying and extrusion properties were investigated for various particle size ranges between 1.0 mm and 4.0 mm. The flow behavior of the samples is determined using suitable mixtures of regrind and virgin material and the results are presented with the aid of comparative objects (Fig. 4).&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Depending on the recycled content (Rec) of the prepared mixtures, bridging occurs, resulting in an uneven material feed in the feed nozzle (Fig. 3, left). The resulting change in the filling level of the screw extruder influences the mass flow exiting the nozzle. A different \u2013 and undefined due to bridging \u2013 mass flow at the nozzle outlet causes uneven layer build-ups and can lead to faulty extrusion sections on the component&#8217;s surface.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The test prints are carried out with a 3 mm nozzle and a mass flow rate of approx. 0.5 kg\/h. Vases with a wall line and a twisted pattern are printed as test objects. A wall line facilitates the investigation of a different mass flow. This effect is enhanced by the twisted structure. In the comparison objects, the problem of bridging in the extruder is characterized by under-extrusion, which makes gaps in the outer wall of the printed objects visible (Fig. 4, 50-50 Rec). The weight of the vases is used to draw conclusions about the extrusion process (Fig. 4, 60-40 Rec, 75-25 Rec). The higher the proportion of recycled material, the lower the corresponding vase weight.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The structured process makes it possible to achieve printed objects with a recycled content of up to 40 % without impairing the component (Fig. 4, mixture of granulate and recycled material).&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Once the recyclate content surpasses 40%, the first under-extrusions occur. These can be detected by measuring the wall thickness and the weight of the vase. Visible surface defects occur once recyclate content reaches 50%. The material flow decreases due to uneven material feed and a lower filling level of the screw. This effect is exacerbated by the anti-oozing mechanism installed in the extruder. This prevents molten plastic from running off. Anti-oozing is triggered by pauses in extrusion and the resulting decrease in pressure at the nozzle. As this is a mechanical mechanism, the anti-oozing is triggered unintentionally even if the pressure is too low due to the filling level of the screw.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/Wahl_I4S-24-1_Figure-4-1024x576.jpg\" alt=\"Series of tests on the use of regrind\" class=\"wp-image-103334\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/Wahl_I4S-24-1_Figure-4-1024x576.jpg 1024w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/Wahl_I4S-24-1_Figure-4-510x287.jpg 510w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/Wahl_I4S-24-1_Figure-4-64x36.jpg 64w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/Wahl_I4S-24-1_Figure-4-667x375.jpg 667w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/Wahl_I4S-24-1_Figure-4-768x432.jpg 768w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/Wahl_I4S-24-1_Figure-4-514x289.jpg 514w, https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/Wahl_I4S-24-1_Figure-4.jpg 1280w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\"><em>Figure 4: Series of tests on the use of regrind.<\/em><\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">The process step of filament production from recycled PLA waste requires 1.08 kWh \/ 1000 g filament (at 100% recycled content) according to measurements in the additive manufacturing laboratory [12]. Direct extrusion can save this amount of energy. In addition, the operating costs of pellet printing are reduced due to the recirculation of recyclate. By using the extruder, it is possible to use granulates that are not available as filament and thus increase the variety of materials. As a result, the variety of industrial waste to be recycled increases.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Current work is focusing on the geometric adaptation of the feed hopper in order to minimize the aforementioned problems caused by bridging. In addition to geometric adjustments, the use of special discharge aids such as pneumatic knockers or mechanical agitators should improve the conveying behavior and material feed. Bulk material analyses, which are used to determine flow behavior or to describe and predict the design of conveyor-specific equipment, can help to examine the ground material more closely. The built-in module can also be used to record and evaluate energy consumption levels.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><em>This article was created as part of the research project &#8220;Energy- and resource-efficient additive manufacturing with recycled plastics \u2013 Pellet-3D&#8221;, which was funded with \u20ac75,000 from the the CZS Prototypes funding program at the Carl Zeiss Foundation.<\/em><\/p>\n<hr><div class=\"gito-pub-content-bibliography\"><h2>Bibliography <\/h2>[1] Berger, U.; Hartmann, A.; Schmid, D.: 3D-Druck &#8211; Fertigungsverfahren, 3. Auflage. Haan-Gruiten 2019, S. 10.\r<br>[2] Te Heesen, H.; Wahl, M.; Messemer, J. u. a.: Heterogene Einsatzfelder der generativen Fertigung. In: Industrie 4.0 Management 36 (2020) 4, S. 25-29. DOI: 10.30844\/I40M_20-1_S25-29.\r<br>[3] Scherer, K.; Soerjawinata, W.; Schaefer, S. u. a.: Influence of wettability and surface design on the adhesion of terrestrial cyanobacteria to additive manufactured biocarriers. In: Bioprocess and Biosystems Engineering 45 (2022), S. 931-941. DOI: 10.1007\/s00449-022-02712-0.\r<br>[4] Gebhardt, A.; Kessler, J.; Schwarz, A.: Produktgestaltung f\u00fcr die Additive Fertigung. M\u00fcnchen 2019, S. 15.\r<br>[5] Song, R.; Telenko, C.: Material end energy loss due to human and machine error in commercial FDM printers. In: Journal of Cleaner Production 148 (2017), S. 895-904.\r<br>[6] Umweltbundesamt: Kunststoffabf\u00e4lle vom 30.06.2023. URL: www.umweltbundesamt.de\/daten\/ressourcen-abfall\/verwertung-entsorgung-ausgewaehlter-abfallarten\/kunststoffabfaelle#kunststoffvielfalt, Abrufdatum 17.10.2023.\r<br>[7] Mattern, M.; Bast, S.; Scherer, K.; Gollmer, K.; Wahl, M.: Innovationslabor Digitalisierung &#8211; Produktentwicklung mittels Design Thinking im Makerspace. In: Industrie 4.0 Management 39 (2023), S.63-64. DOI: doi.org\/10.30844\/IM_23-6_61-65.\r<br>[8] Schneider, N.: Recycling von Polyactid zu Rohmaterial f\u00fcr die additive Fertigung (2023), S. 70-77.\r<br>[9] Bremer, M.; Schneider, N.; Wahl, M.: Untersuchungen zur Degradation bei wertstofflichem Recycling am Beispiel von PLA (2022). In: RTe Journal. DOI: doi.org\/10.58134\/fh-aachen-rte_2022_001.\r<br>[10] Bremer, M; Janoschek, L.; Kaschta, D.; Schneider, N.; Wahl, M.: Influence of plastic recycling-a feasibility study for additive manufacturing using glycol modified polyethylene terephthalate (PETGS). In: SN Applied Sciences 4 (2022) 5. DOI: 10.1007\/s42452-022-05039-3.\r<br>[11] DyzeDesign Pulsar Pellet Extruder; URL: dyzedesign.com\/pulsar-pellet-extruder\/, Abrufdatum 31.10.2023.\r<br>[12] Davlumbaeva, A.: Circular Additive Manufacturing. Bachelorarbeit. Hochschule Trier 2023.<\/div><div id=\"download-section\" class=\"gito-pub-download-section\" style=\"text-align:center;margin:20px;\"><h2>Your downloads<\/h2><button style=\"font-size:14px;margin-right:15px;\" class=\"button gito-pub-cpt-download-button\" data-postid=\"95103\" data-userid =\"0\" data-filename=\"I4S_01-2024_DE Gallace.pdf\"><span style=\"margin-top:5px !important;\" class=\"dashicons dashicons-download\"><\/span>&nbsp;&nbsp;PDF<\/button><\/div><br>Potentials: <span class=\"gito-pub-tag-element\"><a href=\"\/potentials\/resource-efficiency\/\">Resource Efficiency<\/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\/additive-fertigung-en\/\">Additive Fertigung<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/nachhaltigkeit-en\/\">Nachhaltigkeit<\/a><\/span> <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/ressourceneffizienz-en\/\">Ressourceneffizienz<\/a><\/span> <\/div><div><div class=\"social-icons share-icons share-row relative\" ><a href=\"whatsapp:\/\/send?text=Sustainability%20in%20Industrial%20Manufacturing - https:\/\/industry-science.com\/en\/articles\/sustainability-manufacturing\/\" 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\/sustainability-manufacturing\/\" 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\/automotive-body-manufacturing\/\">\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\/09\/richter_AdobeStock_1887518115_Andrey-Popov-640x325.webp\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/09\/richter_AdobeStock_1887518115_Andrey-Popov-196x180.webp\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/09\/richter_AdobeStock_1887518115_Andrey-Popov-196x180.webp\" alt=\"Interoperable Data Access in Automotive Body Manufacturing\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Interoperable Data Access in Automotive Body Manufacturing\">                  <table class=\"gito-pub-frontend-post-card-header\">\n                     <tr>\n                        <td>                           <h4 class=\"gito-pub-frontend-post-card-title\" style=\"line-height:1.2em;\">Interoperable Data Access in Automotive Body Manufacturing<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Deterministic integration of structured target parameters into tact-time production<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/autoren\/tim-richter\/\">Tim Richter<\/a> <a href=\"https:\/\/orcid.org\/0009-0007-9110-0187\" 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\/autoren\/robert-weidner\/\">Robert Weidner<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-1449-3796\" 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                     AI has long been capable of analyzing production processes, yet why is it still so difficult to bring its insights back into production without intermediate steps? In automotive body-in-white mass production, the challenge is less a lack of data than the absence of holistic integration concepts that extend all the way to the machines. This paper demonstrates why bidirectionally communicative information systems are critical to addressing this challenge and identifies the design principles required to effectively integrate AI-generated results into production processes in the future.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 5 | Pages 34-42 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.26.5.4\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.26.5.4<\/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-demonstrators-manufacturing\/\">\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\/link_AdobeStock_311608924_Gorodenkoff-640x325.webp\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/link_AdobeStock_311608924_Gorodenkoff-196x180.webp\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/link_AdobeStock_311608924_Gorodenkoff-196x180.webp\" alt=\"Explaining AI in Industrial Production in an Accessible Way\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Explaining AI in Industrial Production in an Accessible Way\">                  <table class=\"gito-pub-frontend-post-card-header\">\n                     <tr>\n                        <td>                           <h4 class=\"gito-pub-frontend-post-card-title\" style=\"line-height:1.2em;\">Explaining AI in Industrial Production in an Accessible Way<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Requirements for AI demonstrators to promote acceptance<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/jennifer-link-en\/\">Jennifer Link<\/a> <a href=\"https:\/\/orcid.org\/0009-0005-2407-3495\" 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\/markus-harlacher-en\/\">Markus Harlacher<\/a> <a href=\"https:\/\/orcid.org\/0009-0007-5817-2920\" 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\/autoren\/colin-srebny\/\">Colin Srebny<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/sascha-stowasser-en\/\">Sascha Stowasser<\/a> <a href=\"https:\/\/orcid.org\/0009-0006-2725-5793\" 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 a wide range of possibilities in industrial production, but it also presents challenges regarding employee acceptance. AI demonstrators are therefore of central importance, as they enable hands-on experience with AI. However, there has been a lack of systematically identified requirements for demonstrators that specifically promote acceptance and address negative emotions. Using a multi-stage research design, 69 requirements were identified, structured into functional requirements, quality requirements, and boundary conditions.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 5 | Pages 6-14 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.26.5.1\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.26.5.1<\/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\/ai-based-building-inspection\/\">\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\/sender_AdobeStock_227079093_Aisyaqilumar-640x325.webp\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/sender_AdobeStock_227079093_Aisyaqilumar-196x180.webp\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/sender_AdobeStock_227079093_Aisyaqilumar-196x180.webp\" alt=\"AI-Based Building Inspection for Large Structures\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"AI-Based Building Inspection for Large Structures\">                  <table class=\"gito-pub-frontend-post-card-header\">\n                     <tr>\n                        <td>                           <h4 class=\"gito-pub-frontend-post-card-title\" style=\"line-height:1.2em;\">AI-Based Building Inspection for Large Structures<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">A new approach to construction progress monitoring<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/jan-sender-en\/\">Jan Sender<\/a> <a href=\"https:\/\/orcid.org\/0009-0003-9697-5709\" 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\/konrad-jagusch-en\/\">Konrad Jagusch<\/a> <a href=\"https:\/\/orcid.org\/0009-0001-7454-1657\" 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\/autoren\/michael-geist\/\">Michael Geist<\/a> <a href=\"https:\/\/orcid.org\/0009-0005-2780-7538\" 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\/autoren\/david-jericho\/\">David Jericho<\/a> <a href=\"https:\/\/orcid.org\/0009-0001-8932-8701\" 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\/autoren\/christian-scharr\/\">Christian Scharr<\/a> <a href=\"https:\/\/orcid.org\/0009-0003-6300-4682\" 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                     Monitoring construction progress, as required in the one-off production of large structures, is very time- and labor-intensive due to a high level of complexity and individuality. The goal of this article is to develop a sensor-based approach for capturing and evaluating multiple inspection characteristics. The use of machine learning models to detect objects and derive relevant information forms the basis for linking current condition to construction schedule. This enables a significant increase in efficiency during construction progress monitoring and a well-founded assessment of progress.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 5 | Pages 78-84 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.26.5.9\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.26.5.9<\/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\/inclusive-work-system-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\/08\/schlund_AdobeStock_2046886237_InfiniteFlow-640x325.webp\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/schlund_AdobeStock_2046886237_InfiniteFlow-196x180.webp\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/schlund_AdobeStock_2046886237_InfiniteFlow-196x180.webp\" alt=\"Inclusive Work System Design\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Inclusive Work System Design\">                  <table class=\"gito-pub-frontend-post-card-header\">\n                     <tr>\n                        <td>                           <h4 class=\"gito-pub-frontend-post-card-title\" style=\"line-height:1.2em;\">Inclusive Work System Design<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Automation, standardization, and adaptability<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/sebastian-schlund-en\/\">Sebastian Schlund<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-8142-0255\" 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                     The design of inclusive work systems is gaining importance due to demographic change and the increasing digital penetration of value creation processes. While traditional ergonomic approaches are based primarily on percentile logic and thus address only a portion of the user population, the integration of digital technologies opens up new possibilities for the dynamic and individualized adaptation of work systems. This article presents a conceptual framework for inclusive work system design that integrates standardization, automation, and adaptability. Methodologically, the article is based on a conceptual analysis of existing approaches from ergonomics and human-centered design. The article makes a theoretical contribution to the systematization of inclusive work system design and identifies areas of focus for further research and industrial practice.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 5 | Pages 70-76 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.26.5.8\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.26.5.8<\/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\/work-design-autonomous-systems\/\">\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\/AdobeStock_484184873_Ivan-Traimak-640x325.webp\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/AdobeStock_484184873_Ivan-Traimak-196x180.webp\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/AdobeStock_484184873_Ivan-Traimak-196x180.webp\" alt=\"Work Design in the Use of Autonomous Systems\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Work Design in the Use of Autonomous Systems\">                  <table class=\"gito-pub-frontend-post-card-header\">\n                     <tr>\n                        <td>                           <h4 class=\"gito-pub-frontend-post-card-title\" style=\"line-height:1.2em;\">Work Design in the Use of Autonomous Systems<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Addressing the shortage of skilled workers<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/tim-jeske-en\/\">Tim Jeske<\/a> <a href=\"https:\/\/orcid.org\/0000-0001-8778-6824\" 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-stowasser-en\/\">Sascha Stowasser<\/a> <a href=\"https:\/\/orcid.org\/0009-0006-2725-5793\" 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\/nicole-ottersboeck-en\/\">Nicole Ottersb\u00f6ck<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/sebastian-terstegen-en\/\">Sebastian Terstegen<\/a>, <a href=\"https:\/\/industry-science.com\/en\/autoren\/rasmus-adler\/\">Rasmus Adler<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-7482-7102\" 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                     Companies are increasingly challenged to address shortages of skilled workers while meeting rising demands for productivity, flexibility, and innovation. Because labor supply can only be expanded to a limited extent, there is a growing focus on designing work systems with productivity in mind. Autonomous systems offer significant potential in this regard. Their implementation requires not only technical adjustments but, above all, changes in organization, skills, and work design. This article analyzes empirically grounded change requirements in existing work systems as well as associated economic potential.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 5 | Pages 44-50 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.26.5.5\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.26.5.5<\/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\/complementors-digital-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\/Zabel_AdobeStock_260585096_radachynskyi-640x325.webp\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/Zabel_AdobeStock_260585096_radachynskyi-196x180.webp\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/Zabel_AdobeStock_260585096_radachynskyi-196x180.webp\" alt=\"Cooperation Routines of Complementors in Digital Ecosystems\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Cooperation Routines of Complementors in Digital Ecosystems\">                  <table class=\"gito-pub-frontend-post-card-header\">\n                     <tr>\n                        <td>                           <h4 class=\"gito-pub-frontend-post-card-title\" style=\"line-height:1.2em;\">Cooperation Routines of Complementors in Digital Ecosystems<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">A microfoundation of integrative dynamic capability<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/christian-zabel-en\/\">Christian Zabel<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-4636-6679\" 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\/autoren\/tahir-schmidt\/\">Tahir Schmidt<\/a> <a href=\"https:\/\/orcid.org\/0009-0004-2409-6665\" 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                     Complementors are central to value creation in digital ecosystems yet have limited leverage and must adapt through dynamic capabilities. Building on the Profiting From Innovation Framework, this study examines how integrative capabilities manifest for complementors through cooperative routines. Based on a systematic literature review of Scopus-indexed studies from 2020 to mid-2025 focusing on the microfoundation \u201corchestrating ecosystem actors\u201d, we identify two routine clusters. Complementors cooperate with other complementors via partner sensing, scouting, coalitions, resource sharing, and risk allocation while protecting critical assets. They cooperate with platform owners via multichannel boundary spanning, quality signaling, governance compliance, boundary resource integration, and co-development, while facing the risk of owner entry. Research gaps concern the formalization of cooperation routines, taxonomy, and B2B contexts.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 4 | Pages 22-28 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.26.4.3\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.26.4.3<\/a><\/div>            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n<\/div>\n<!-- GITO_PUB_POST end flex-container -->\n","protected":false},"excerpt":{"rendered":"<p>In additive manufacturing \u2013 which is also known as 3D printing \u2013 plastic waste is produced, for example in the form of required support structures or faulty prints. One option for resource recirculation in additive manufacturing is direct use in a pellet 3D printer that incorporates fused granulate fabrication (FGF). The elimination of the filament production process step reduces the manufacturing time and the energy required for recirculation.<\/p>\n","protected":false},"featured_media":107490,"menu_order":0,"template":"","categories":[79167,79168,79298],"tags":[79299,79356,79303],"product_cat":[],"topic":[67701,68267],"technology":[71524,67634],"knowhow":[],"industry":[],"writer":[83183,83707,83708,83677,83181],"content-type":[],"potential":[69462],"solution":[],"glossary":[],"class_list":["post-95103","article","type-article","status-publish","has-post-thumbnail","category-design-en","category-translate-en","category-typeset","tag-additive-fertigung-en","tag-nachhaltigkeit-en","tag-ressourceneffizienz-en","topic-production-system","topic-sustainability","technology-additive-manufacturing","technology-tools","writer-adrian-huwer-en","writer-bruno-gallace-en","writer-michael-blug-en","writer-michael-mattern-en","writer-michael-wahl-en","potential-resource-efficiency","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\/02\/AdobeStock_434341743-min.jpeg",1400,788,false],"thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/AdobeStock_434341743-min-150x150.jpeg",150,150,true],"medium":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/AdobeStock_434341743-min-666x375.jpeg",666,375,true],"medium_large":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/AdobeStock_434341743-min-768x432.jpeg",768,432,true],"large":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/AdobeStock_434341743-min-1024x576.jpeg",1020,574,true],"front-page-entry":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/AdobeStock_434341743-min-1032x320.jpeg",1032,320,true],"post-entry":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/AdobeStock_434341743-min-764x376.jpeg",764,376,true],"post-teaser":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/AdobeStock_434341743-min-392x320.jpeg",392,320,true],"post-teaser-mobile":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/AdobeStock_434341743-min-608x496.jpeg",608,496,true],"post-custom-size":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/AdobeStock_434341743-min-640x325.jpeg",640,325,true],"whitepaper-teaser":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/AdobeStock_434341743-min-274x376.jpeg",274,376,true],"card-big":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/AdobeStock_434341743-min-514x292.jpeg",514,292,true],"card-portrait":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/AdobeStock_434341743-min-320x440.jpeg",320,440,true],"card-big-company":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/AdobeStock_434341743-min-514x289.jpeg",514,289,true],"gp-listing":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/AdobeStock_434341743-min-196x180.jpeg",196,180,true],"1536x1536":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/AdobeStock_434341743-min.jpeg",1400,788,false],"2048x2048":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/AdobeStock_434341743-min.jpeg",1400,788,false],"woocommerce_thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/AdobeStock_434341743-min-510x510.jpeg",510,510,true],"woocommerce_single":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/AdobeStock_434341743-min-510x287.jpeg",510,287,true],"woocommerce_gallery_thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/AdobeStock_434341743-min-100x100.jpeg",100,100,true],"dgwt-wcas-product-suggestion":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/02\/AdobeStock_434341743-min-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":"In additive manufacturing \u2013 which is also known as 3D printing \u2013 plastic waste is produced, for example in the form of required support structures or faulty prints. One option for resource recirculation in additive manufacturing is direct use in a pellet 3D printer that incorporates fused granulate fabrication (FGF). The elimination of the filament&hellip;","_links":{"self":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/article\/95103","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\/107490"}],"wp:attachment":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/media?parent=95103"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/categories?post=95103"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/tags?post=95103"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/product_cat?post=95103"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/topic?post=95103"},{"taxonomy":"technology","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/technology?post=95103"},{"taxonomy":"knowhow","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/knowhow?post=95103"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/industry?post=95103"},{"taxonomy":"writer","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/writer?post=95103"},{"taxonomy":"content-type","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/content-type?post=95103"},{"taxonomy":"potential","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/potential?post=95103"},{"taxonomy":"solution","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/solution?post=95103"},{"taxonomy":"glossary","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/glossary?post=95103"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}