[{"date_updated":"2025-05-08T08:20:23Z","doi":"10.1016/j.ijpx.2025.100331","quality_controlled":"1","external_id":{"pmid":["40242454 "]},"publisher":"Elsevier BV","type":"scientific_journal_article","abstract":[{"text":"Roller compaction/dry granulation (RC/DG) is a key process in pharmaceutical manufacturing for improving powder flowability, density, and segregation resistance. Advanced statistical modeling was used to optimize RC/DG process parameters and subsequently binder compositions by employing process and mixture design experiments. The authors used microcrystalline cellulose (MCC), silicified MCC (SMCC), and dicalcium phosphate (DCP) as filler-binder examples in RC/DG experiments. Granule and tablet properties, including flowability, bulk and tapped densities, as well as resistance to crushing, were analyzed using compendial methods. The process design experiments confirmed that RC/DG reduces manufacturability compared to direct compression. Optimal processing conditions, balancing sufficient tablet strengths and granule formation, were identified to be between 20 (SCF * ϑ) [kN/cm] and ∼ 60 (SCF * ϑ) [kN/cm]. Thereby (ϑ) is defined as the screw-to-roll speed ratio and (SFC) as the specific compaction force. Mixture design experiments revealed optimal mixtures balancing SMCC, MCC, and DCP to achieve desired properties like low angle of repose, high bulk density, and strong tablets. These findings provide guidance for selecting formulations and process parameters in RC/DG applications. The derived ‘SCF * ϑ’- factor was found to effectively describe the granulation intensity. A superimposed mixture design model based on precise target values of the parameters bulk density, flow properties, and breaking force allowed identification of the best formulation.","lang":"eng"}],"keyword":["Design of experiments","Roller compaction/dry granulation","RC/DG","Dicalcium phosphate","Microcrystalline cellulose","Silicified microcrystalline cellulose"],"status":"public","user_id":"83781","year":"2025","department":[{"_id":"DEP4022"},{"_id":"DEP4028"}],"main_file_link":[{"url":"https://www.sciencedirect.com/science/article/pii/S2590156725000167","open_access":"1"}],"title":"An iterative process and mixture design approach for dry granulated ternary blends of filler-binders","place":"Amsterdam","citation":{"chicago-de":"Märkle, Niclas, Gernot Warnke und Miriam Pein-Hackelbusch. 2025. An iterative process and mixture design approach for dry granulated ternary blends of filler-binders. <i>International Journal of Pharmaceutics: X</i> 9. doi:<a href=\"https://doi.org/10.1016/j.ijpx.2025.100331\">10.1016/j.ijpx.2025.100331</a>, .","ufg":"<b>Märkle, Niclas/Warnke, Gernot/Pein-Hackelbusch, Miriam</b>: An iterative process and mixture design approach for dry granulated ternary blends of filler-binders, in: <i>International Journal of Pharmaceutics: X</i> 9 (2025).","apa":"Märkle, N., Warnke, G., &#38; Pein-Hackelbusch, M. (2025). An iterative process and mixture design approach for dry granulated ternary blends of filler-binders. <i>International Journal of Pharmaceutics: X</i>, <i>9</i>, Article 100331. <a href=\"https://doi.org/10.1016/j.ijpx.2025.100331\">https://doi.org/10.1016/j.ijpx.2025.100331</a>","mla":"Märkle, Niclas, et al. “An Iterative Process and Mixture Design Approach for Dry Granulated Ternary Blends of Filler-Binders.” <i>International Journal of Pharmaceutics: X</i>, vol. 9, 100331, 2025, <a href=\"https://doi.org/10.1016/j.ijpx.2025.100331\">https://doi.org/10.1016/j.ijpx.2025.100331</a>.","short":"N. Märkle, G. Warnke, M. Pein-Hackelbusch, International Journal of Pharmaceutics: X 9 (2025).","havard":"N. Märkle, G. Warnke, M. Pein-Hackelbusch, An iterative process and mixture design approach for dry granulated ternary blends of filler-binders, International Journal of Pharmaceutics: X. 9 (2025).","chicago":"Märkle, Niclas, Gernot Warnke, and Miriam Pein-Hackelbusch. “An Iterative Process and Mixture Design Approach for Dry Granulated Ternary Blends of Filler-Binders.” <i>International Journal of Pharmaceutics: X</i> 9 (2025). <a href=\"https://doi.org/10.1016/j.ijpx.2025.100331\">https://doi.org/10.1016/j.ijpx.2025.100331</a>.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Märkle, Niclas</span> ; <span style=\"font-variant:small-caps;\">Warnke, Gernot</span> ; <span style=\"font-variant:small-caps;\">Pein-Hackelbusch, Miriam</span>: An iterative process and mixture design approach for dry granulated ternary blends of filler-binders. In: <i>International Journal of Pharmaceutics: X</i> Bd. 9. Amsterdam, Elsevier BV (2025)","bjps":"<b>Märkle N, Warnke G and Pein-Hackelbusch M</b> (2025) An Iterative Process and Mixture Design Approach for Dry Granulated Ternary Blends of Filler-Binders. <i>International Journal of Pharmaceutics: X</i> <b>9</b>.","ama":"Märkle N, Warnke G, Pein-Hackelbusch M. An iterative process and mixture design approach for dry granulated ternary blends of filler-binders. <i>International Journal of Pharmaceutics: X</i>. 2025;9. doi:<a href=\"https://doi.org/10.1016/j.ijpx.2025.100331\">10.1016/j.ijpx.2025.100331</a>","van":"Märkle N, Warnke G, Pein-Hackelbusch M. An iterative process and mixture design approach for dry granulated ternary blends of filler-binders. International Journal of Pharmaceutics: X. 2025;9.","ieee":"N. Märkle, G. Warnke, and M. Pein-Hackelbusch, “An iterative process and mixture design approach for dry granulated ternary blends of filler-binders,” <i>International Journal of Pharmaceutics: X</i>, vol. 9, Art. no. 100331, 2025, doi: <a href=\"https://doi.org/10.1016/j.ijpx.2025.100331\">10.1016/j.ijpx.2025.100331</a>."},"date_created":"2025-04-11T08:39:07Z","language":[{"iso":"eng"}],"publication_status":"published","pmid":"1","volume":9,"intvolume":"         9","author":[{"first_name":"Niclas","full_name":"Märkle, Niclas","last_name":"Märkle","id":"74898"},{"first_name":"Gernot","full_name":"Warnke, Gernot","last_name":"Warnke"},{"orcid":"0000-0002-7920-0595","first_name":"Miriam","full_name":"Pein-Hackelbusch, Miriam","id":"64952","last_name":"Pein-Hackelbusch"}],"publication_identifier":{"eissn":["2590-1567"],"issn":["1873-3476"]},"article_number":"100331","oa":"1","_id":"12781","publication":"International Journal of Pharmaceutics: X"},{"publisher":"Springer","type":"scientific_journal_article","quality_controlled":"1","doi":"10.1007/s00449-020-02478-3","date_updated":"2023-08-21T07:55:05Z","issue":"4","status":"public","department":[{"_id":"DEP4021"}],"user_id":"83781","year":"2021","page":"683-700","abstract":[{"lang":"eng","text":"Bioprocess development and optimization are still cost- and time-intensive due to the enormous number of experiments involved. In this study, the recently introduced model-assisted Design of Experiments (mDoE) concept (Möller et al. in Bioproc Biosyst Eng 42(5):867, https://doi.org/10.1007/s00449-019-02089-7, 2019) was extended and implemented into a software (“mDoE-toolbox”) to significantly reduce the number of required cultivations. The application of the toolbox is exemplary shown in two case studies with Saccharomyces cerevisiae. In the first case study, a fed-batch process was optimized with respect to the pH value and linearly rising feeding rates of glucose and nitrogen source. Using the mDoE-toolbox, the biomass concentration was increased by 30% compared to previously performed experiments. The second case study was the whole-cell biocatalysis of ethyl acetoacetate (EAA) to (S)-ethyl-3-hydroxybutyrate (E3HB), for which the feeding rates of glucose, nitrogen source, and EAA were optimized. An increase of 80% compared to a previously performed experiment with similar initial conditions was achieved for the E3HB concentration."}],"keyword":["Biocatalysis","Monte Carlo methods","Fed-batch strategy","Model-assisted design of experiments","Quality by design"],"volume":44,"publication_status":"published","language":[{"iso":"eng"}],"date_created":"2022-05-05T13:10:11Z","citation":{"ama":"Moser A, Kuchemüller KB, Deppe S, et al. Model-assisted DoE software: Optimization of growth and biocatalysis in Saccharomyces cerevisiae bioprocesses. <i>Bioprocess and Biosystems Engineering</i>. 2021;44(4):683-700. doi:<a href=\"https://doi.org/10.1007/s00449-020-02478-3\">10.1007/s00449-020-02478-3</a>","van":"Moser A, Kuchemüller KB, Deppe S, Hernández Rodriguez T, Frahm B, Pörtner R, et al. Model-assisted DoE software: Optimization of growth and biocatalysis in Saccharomyces cerevisiae bioprocesses. Bioprocess and Biosystems Engineering. 2021;44(4):683–700.","ieee":"A. Moser <i>et al.</i>, “Model-assisted DoE software: Optimization of growth and biocatalysis in Saccharomyces cerevisiae bioprocesses,” <i>Bioprocess and Biosystems Engineering</i>, vol. 44, no. 4, pp. 683–700, 2021, doi: <a href=\"https://doi.org/10.1007/s00449-020-02478-3\">10.1007/s00449-020-02478-3</a>.","chicago":"Moser, André, Kim B. Kuchemüller, Sahar Deppe, Tanja Hernández Rodriguez, Björn Frahm, Ralf Pörtner, Volker C. Hass, and Johannes Möller. “Model-Assisted DoE Software: Optimization of Growth and Biocatalysis in Saccharomyces Cerevisiae Bioprocesses.” <i>Bioprocess and Biosystems Engineering</i> 44, no. 4 (2021): 683–700. <a href=\"https://doi.org/10.1007/s00449-020-02478-3\">https://doi.org/10.1007/s00449-020-02478-3</a>.","bjps":"<b>Moser A <i>et al.</i></b> (2021) Model-Assisted DoE Software: Optimization of Growth and Biocatalysis in Saccharomyces Cerevisiae Bioprocesses. <i>Bioprocess and Biosystems Engineering</i> <b>44</b>, 683–700.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Moser, André</span> ; <span style=\"font-variant:small-caps;\">Kuchemüller, Kim B.</span> ; <span style=\"font-variant:small-caps;\">Deppe, Sahar</span> ; <span style=\"font-variant:small-caps;\">Hernández Rodriguez, Tanja</span> ; <span style=\"font-variant:small-caps;\">Frahm, Björn</span> ; <span style=\"font-variant:small-caps;\">Pörtner, Ralf</span> ; <span style=\"font-variant:small-caps;\">Hass, Volker C.</span> ; <span style=\"font-variant:small-caps;\">Möller, Johannes</span>: Model-assisted DoE software: Optimization of growth and biocatalysis in Saccharomyces cerevisiae bioprocesses. In: <i>Bioprocess and Biosystems Engineering</i> Bd. 44. Berlin ; Heidelberg [u.a.], Springer (2021), Nr. 4, S. 683–700","havard":"A. Moser, K.B. Kuchemüller, S. Deppe, T. Hernández Rodriguez, B. Frahm, R. Pörtner, V.C. Hass, J. Möller, Model-assisted DoE software: Optimization of growth and biocatalysis in Saccharomyces cerevisiae bioprocesses, Bioprocess and Biosystems Engineering. 44 (2021) 683–700.","ufg":"<b>Moser, André u. a.</b>: Model-assisted DoE software: Optimization of growth and biocatalysis in Saccharomyces cerevisiae bioprocesses, in: <i>Bioprocess and Biosystems Engineering</i> 44 (2021), H. 4,  S. 683–700.","chicago-de":"Moser, André, Kim B. Kuchemüller, Sahar Deppe, Tanja Hernández Rodriguez, Björn Frahm, Ralf Pörtner, Volker C. Hass und Johannes Möller. 2021. Model-assisted DoE software: Optimization of growth and biocatalysis in Saccharomyces cerevisiae bioprocesses. <i>Bioprocess and Biosystems Engineering</i> 44, Nr. 4: 683–700. doi:<a href=\"https://doi.org/10.1007/s00449-020-02478-3\">10.1007/s00449-020-02478-3</a>, .","short":"A. Moser, K.B. Kuchemüller, S. Deppe, T. Hernández Rodriguez, B. Frahm, R. Pörtner, V.C. Hass, J. Möller, Bioprocess and Biosystems Engineering 44 (2021) 683–700.","mla":"Moser, André, et al. “Model-Assisted DoE Software: Optimization of Growth and Biocatalysis in Saccharomyces Cerevisiae Bioprocesses.” <i>Bioprocess and Biosystems Engineering</i>, vol. 44, no. 4, 2021, pp. 683–700, <a href=\"https://doi.org/10.1007/s00449-020-02478-3\">https://doi.org/10.1007/s00449-020-02478-3</a>.","apa":"Moser, A., Kuchemüller, K. B., Deppe, S., Hernández Rodriguez, T., Frahm, B., Pörtner, R., Hass, V. C., &#38; Möller, J. (2021). Model-assisted DoE software: Optimization of growth and biocatalysis in Saccharomyces cerevisiae bioprocesses. <i>Bioprocess and Biosystems Engineering</i>, <i>44</i>(4), 683–700. <a href=\"https://doi.org/10.1007/s00449-020-02478-3\">https://doi.org/10.1007/s00449-020-02478-3</a>"},"place":"Berlin ; Heidelberg [u.a.]","publication_identifier":{"isbn":["1615-7591"],"eissn":["1615-7605"]},"intvolume":"        44","author":[{"last_name":"Moser","full_name":"Moser, André","first_name":"André"},{"first_name":"Kim B.","full_name":"Kuchemüller, Kim B.","last_name":"Kuchemüller"},{"first_name":"Sahar","full_name":"Deppe, Sahar","last_name":"Deppe"},{"first_name":"Tanja","full_name":"Hernández Rodriguez, Tanja","last_name":"Hernández Rodriguez","id":"52466"},{"first_name":"Björn","full_name":"Frahm, Björn","id":"45666","last_name":"Frahm"},{"full_name":"Pörtner, Ralf","last_name":"Pörtner","first_name":"Ralf"},{"first_name":"Volker C.","full_name":"Hass, Volker C.","last_name":"Hass"},{"first_name":"Johannes","last_name":"Möller","full_name":"Möller, Johannes"}],"title":"Model-assisted DoE software: Optimization of growth and biocatalysis in Saccharomyces cerevisiae bioprocesses","publication":"Bioprocess and Biosystems Engineering","_id":"7986"},{"abstract":[{"text":"Since additive manufacturing (AM) is continuously growing, the influence of processing conditions and setup parameters on microstructural and mechanical properties of additively manufacturedcomponents needs to be clarified. The paper discusses an experimental approach for the identification of influencing parameters in Selective Laser Melting; this consists of an evaluation of the mechanical and physical properties of final parts, depending on the chosen process parameters. The Design of Experiments is used to get valid results from a limited number of experiments. The research work focuses on the application of a Definitive Screening Design to identify the most important influencing parameters: Several parameters of the hatch and the contour exposure are varied, as well as the position and orientation of the samples in the build chamber. A maraging steel and a CoCr alloy are used, and the mechanical and physical properties of the samples are evaluated. The interdependencies between the variation of the factors and the observed properties are analyzed.","lang":"eng"}],"conference":{"location":"Lemgo","start_date":"2018-10-04","end_date":"2018-10-05","name":"Proceedings 8th International Conference"},"page":"43-55","keyword":["Additive manufacturing","Process parameters","Design of Experiments","Density measurement"],"status":"public","user_id":"45673","year":2018,"department":[{"_id":"DEP1306"}],"corporate_editor":["Department of Production Engineering and Management","Hochschule Ostwestfalen-Lippe"],"date_updated":"2023-03-15T13:50:00Z","issue":"1","editor":[{"first_name":"Franz-Josef","last_name":"Villmer","full_name":"Villmer, Franz-Josef"},{"first_name":"Elio","last_name":"Padoano","full_name":"Padoano, Elio"}],"type":"conference","oa":"1","_id":"552","publication":"Production Engineering and Management","main_file_link":[{"open_access":"1","url":"https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM2018_proceedings_web.pdf"}],"title":"Analysis of Influencing Parameters on Mechanical and Physical Properties of SLM Parts","place":"Lemgo","citation":{"havard":"F. Simoni, A. Huxol, F.-J. Villmer, Analysis of Influencing Parameters on Mechanical and Physical Properties of SLM Parts, in: F.-J. Villmer, E. Padoano, Department of Production Engineering and Management (Eds.), Production Engineering and Management, Lemgo, 2018: pp. 43–55.","ieee":"F. Simoni, A. Huxol, and F.-J. Villmer, “Analysis of Influencing Parameters on Mechanical and Physical Properties of SLM Parts,” in <i>Production Engineering and Management</i>, Lemgo, 2018, no. 1, pp. 43–55.","ama":"Simoni F, Huxol A, Villmer F-J. Analysis of Influencing Parameters on Mechanical and Physical Properties of SLM Parts. In: Villmer F-J, Padoano E, Department of Production Engineering and Management, eds. <i>Production Engineering and Management</i>. Lemgo; 2018:43-55.","van":"Simoni F, Huxol A, Villmer F-J. Analysis of Influencing Parameters on Mechanical and Physical Properties of SLM Parts. In: Villmer F-J, Padoano E, Department of Production Engineering and Management, editors. Production Engineering and Management. Lemgo; 2018. p. 43–55.","bjps":"<b>Simoni F, Huxol A and Villmer F-J</b> (2018) Analysis of Influencing Parameters on Mechanical and Physical Properties of SLM Parts. In Villmer F-J, Padoano E and Department of Production Engineering and Management (eds), <i>Production Engineering and Management</i>. Lemgo, pp. 43–55.","short":"F. Simoni, A. Huxol, F.-J. Villmer, in: F.-J. Villmer, E. Padoano, Department of Production Engineering and Management (Eds.), Production Engineering and Management, Lemgo, 2018, pp. 43–55.","mla":"Simoni, F., et al. “Analysis of Influencing Parameters on Mechanical and Physical Properties of SLM Parts.” <i>Production Engineering and Management</i>, edited by Franz-Josef Villmer et al., no. 1, 2018, pp. 43–55.","apa":"Simoni, F., Huxol, A., &#38; Villmer, F.-J. (2018). Analysis of Influencing Parameters on Mechanical and Physical Properties of SLM Parts. In F.-J. Villmer, E. Padoano, &#38; Department of Production Engineering and Management (Eds.), <i>Production Engineering and Management</i> (pp. 43–55). Lemgo.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Simoni, F.</span> ; <span style=\"font-variant:small-caps;\">Huxol, Andrea</span> ; <span style=\"font-variant:small-caps;\">Villmer, Franz-Josef</span>: Analysis of Influencing Parameters on Mechanical and Physical Properties of SLM Parts. In: <span style=\"font-variant:small-caps;\">Villmer, F.-J.</span> ; <span style=\"font-variant:small-caps;\">Padoano, E.</span> ; <span style=\"font-variant:small-caps;\">Department of Production Engineering and Management</span> (Hrsg.): <i>Production Engineering and Management</i>. Lemgo, 2018, S. 43–55","ufg":"<b>Simoni, F. et. al. (2018)</b>: Analysis of Influencing Parameters on Mechanical and Physical Properties of SLM Parts, in: Franz-Josef Villmer et. al. (Hgg.): <i>Production Engineering and Management</i>, Lemgo, S. 43–55.","chicago":"Simoni, F., Andrea Huxol, and Franz-Josef Villmer. “Analysis of Influencing Parameters on Mechanical and Physical Properties of SLM Parts.” In <i>Production Engineering and Management</i>, edited by Franz-Josef Villmer, Elio Padoano, and Department of Production Engineering and Management, 43–55. Lemgo, 2018.","chicago-de":"Simoni, F., Andrea Huxol und Franz-Josef Villmer. 2018. Analysis of Influencing Parameters on Mechanical and Physical Properties of SLM Parts. In: <i>Production Engineering and Management</i>, hg. von Franz-Josef Villmer, Elio Padoano, und Department of Production Engineering and Management, 43–55. Lemgo."},"language":[{"iso":"eng"}],"date_created":"2019-02-13T14:11:15Z","publication_status":"published","author":[{"first_name":"F.","last_name":"Simoni","full_name":"Simoni, F."},{"id":"43559","last_name":"Huxol","full_name":"Huxol, Andrea","first_name":"Andrea"},{"full_name":"Villmer, Franz-Josef","last_name":"Villmer","id":"14290","first_name":"Franz-Josef"}],"publication_identifier":{"isbn":["978-3-946856-03-0"]}},{"keyword":["Simulation","Metamodel","Computer experiment","Design of experiments"],"page":"269-280","conference":{"name":"6th International Conference on Production Engineering and Management ","start_date":"2016-09-29","end_date":"2016-09-30","location":"Lemgo"},"abstract":[{"text":"In the context of Industrie 4.0 respectively direct digital manufacturing, seamless process chains are an important factor. The objective is to shorten the time between quoting for individually designed products and their production and delivery. Therefore, reliable automated and fast evaluation procedures are needed to ensure the quality of the individually designed products in terms of product safety and reliability. This paper aims \r\nto demonstrate how a metamodel, generated on simulated data, adapts to the type of product and delivers the required quality and evaluation procedure. The metamodel guarantees the requested characteristics of the final product without the consultation of human expert knowledge. As proof of concept, a simple, well-documented  task from the field of construction has been chosen. The estimation from of the metamodel will meet all safety  requirements, is based on the individual input variables and is confirmed without expert interaction. Fast, reliable prediction models deriving from complex simulation models are indispensable conditions for direct digital manufacturing. Using metamodels in automation contexts will be a foundation of manufacturing in future.","lang":"eng"}],"corporate_editor":["Department of Production Engineering and Management","Hochschule Ostwestfalen-Lippe"],"department":[{"_id":"DEP1306"}],"user_id":"83781","year":"2016","status":"public","related_material":{"link":[{"relation":"contains","url":"https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2016_Proceeding_2016_09_14_Inhaltsnavigation.pdf"}]},"issue":"1","date_updated":"2024-03-22T13:18:42Z","type":"conference","editor":[{"full_name":"Villmer, Franz-Josef","last_name":"Villmer","first_name":"Franz-Josef"},{"first_name":"Elio","full_name":"Padoano, Elio","last_name":"Padoano"}],"publisher":"Hochschule Ostwestfalen-Lippe","_id":"472","oa":"1","series_title":"\t Publication series in direct digital manufacturing ","publication":"Production engineering and management : proceedings 6th international conference, September 29 and 30, 2016 Lemgo, Germany ","title":"Expert Knowledge Systems to Ensure Quality and Reliability in Direct Digital Manufacturing Enviroments","main_file_link":[{"url":"https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2016_Proceeding_2016_09_14_Inhaltsnavigation.pdf","open_access":"1"}],"publication_identifier":{"unknown":["978-3-946856-00-9"]},"author":[{"full_name":"Scheideler, Eva","last_name":"Scheideler","id":"61522","first_name":"Eva"},{"last_name":"Ahlemeyer-Stubbe","full_name":"Ahlemeyer-Stubbe, Andrea","first_name":"Andrea"}],"intvolume":"      2016","volume":2016,"publication_status":"published","date_created":"2019-01-29T13:06:45Z","language":[{"iso":"eng"}],"citation":{"havard":"E. Scheideler, A. Ahlemeyer-Stubbe, Expert Knowledge Systems to Ensure Quality and Reliability in Direct Digital Manufacturing Enviroments, in: F.-J. Villmer, E. Padoano, Department of Production Engineering and Management, Hochschule Ostwestfalen-Lippe (Eds.), Production Engineering and Management : Proceedings 6th International Conference, September 29 and 30, 2016 Lemgo, Germany , Hochschule Ostwestfalen-Lippe, Lemgo, 2016: pp. 269–280.","chicago-de":"Scheideler, Eva und Andrea Ahlemeyer-Stubbe. 2016. Expert Knowledge Systems to Ensure Quality and Reliability in Direct Digital Manufacturing Enviroments. In: <i>Production engineering and management : proceedings 6th international conference, September 29 and 30, 2016 Lemgo, Germany </i>, hg. von Franz-Josef Villmer, Elio Padoano, Department of Production Engineering and Management, und Hochschule Ostwestfalen-Lippe, 2016:269–280.   Publication series in direct digital manufacturing . Lemgo: Hochschule Ostwestfalen-Lippe.","ufg":"<b>Scheideler, Eva/Ahlemeyer-Stubbe, Andrea</b>: Expert Knowledge Systems to Ensure Quality and Reliability in Direct Digital Manufacturing Enviroments, in: <i>Villmer, Franz-Josef u. a. (Hgg.)</i>: Production engineering and management : proceedings 6th international conference, September 29 and 30, 2016 Lemgo, Germany , Bd. 2016, Lemgo 2016 (  Publication series in direct digital manufacturing ),  S. 269–280.","mla":"Scheideler, Eva, and Andrea Ahlemeyer-Stubbe. “Expert Knowledge Systems to Ensure Quality and Reliability in Direct Digital Manufacturing Enviroments.” <i>Production Engineering and Management : Proceedings 6th International Conference, September 29 and 30, 2016 Lemgo, Germany </i>, edited by Franz-Josef Villmer et al., vol. 2016, no. 1, Hochschule Ostwestfalen-Lippe, 2016, pp. 269–80.","apa":"Scheideler, E., &#38; Ahlemeyer-Stubbe, A. (2016). Expert Knowledge Systems to Ensure Quality and Reliability in Direct Digital Manufacturing Enviroments. In F.-J. Villmer, E. Padoano, Department of Production Engineering and Management, &#38; Hochschule Ostwestfalen-Lippe (Eds.), <i>Production engineering and management : proceedings 6th international conference, September 29 and 30, 2016 Lemgo, Germany </i> (Vol. 2016, Issue 1, pp. 269–280). Hochschule Ostwestfalen-Lippe.","short":"E. Scheideler, A. Ahlemeyer-Stubbe, in: F.-J. Villmer, E. Padoano, Department of Production Engineering and Management, Hochschule Ostwestfalen-Lippe (Eds.), Production Engineering and Management : Proceedings 6th International Conference, September 29 and 30, 2016 Lemgo, Germany , Hochschule Ostwestfalen-Lippe, Lemgo, 2016, pp. 269–280.","van":"Scheideler E, Ahlemeyer-Stubbe A. Expert Knowledge Systems to Ensure Quality and Reliability in Direct Digital Manufacturing Enviroments. In: Villmer FJ, Padoano E, Department of Production Engineering and Management, Hochschule Ostwestfalen-Lippe, editors. Production engineering and management : proceedings 6th international conference, September 29 and 30, 2016 Lemgo, Germany . Lemgo: Hochschule Ostwestfalen-Lippe; 2016. p. 269–80. (  Publication series in direct digital manufacturing ; vol. 2016).","ama":"Scheideler E, Ahlemeyer-Stubbe A. Expert Knowledge Systems to Ensure Quality and Reliability in Direct Digital Manufacturing Enviroments. In: Villmer FJ, Padoano E, Department of Production Engineering and Management, Hochschule Ostwestfalen-Lippe, eds. <i>Production Engineering and Management : Proceedings 6th International Conference, September 29 and 30, 2016 Lemgo, Germany </i>. Vol 2016.   Publication series in direct digital manufacturing . Hochschule Ostwestfalen-Lippe; 2016:269-280.","ieee":"E. Scheideler and A. Ahlemeyer-Stubbe, “Expert Knowledge Systems to Ensure Quality and Reliability in Direct Digital Manufacturing Enviroments,” in <i>Production engineering and management : proceedings 6th international conference, September 29 and 30, 2016 Lemgo, Germany </i>, Lemgo, 2016, vol. 2016, no. 1, pp. 269–280.","chicago":"Scheideler, Eva, and Andrea Ahlemeyer-Stubbe. “Expert Knowledge Systems to Ensure Quality and Reliability in Direct Digital Manufacturing Enviroments.” In <i>Production Engineering and Management : Proceedings 6th International Conference, September 29 and 30, 2016 Lemgo, Germany </i>, edited by Franz-Josef Villmer, Elio Padoano, Department of Production Engineering and Management, and Hochschule Ostwestfalen-Lippe, 2016:269–80.   Publication Series in Direct Digital Manufacturing . Lemgo: Hochschule Ostwestfalen-Lippe, 2016.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Scheideler, Eva</span> ; <span style=\"font-variant:small-caps;\">Ahlemeyer-Stubbe, Andrea</span>: Expert Knowledge Systems to Ensure Quality and Reliability in Direct Digital Manufacturing Enviroments. In: <span style=\"font-variant:small-caps;\">Villmer, F.-J.</span> ; <span style=\"font-variant:small-caps;\">Padoano, E.</span> ; <span style=\"font-variant:small-caps;\">Department of Production Engineering and Management</span> ; <span style=\"font-variant:small-caps;\">Hochschule Ostwestfalen-Lippe</span> (Hrsg.): <i>Production engineering and management : proceedings 6th international conference, September 29 and 30, 2016 Lemgo, Germany </i>, <i>  Publication series in direct digital manufacturing </i>. Bd. 2016. Lemgo : Hochschule Ostwestfalen-Lippe, 2016, S. 269–280","bjps":"<b>Scheideler E and Ahlemeyer-Stubbe A</b> (2016) Expert Knowledge Systems to Ensure Quality and Reliability in Direct Digital Manufacturing Enviroments. In Villmer F-J et al. (eds), <i>Production Engineering and Management : Proceedings 6th International Conference, September 29 and 30, 2016 Lemgo, Germany </i>, vol. 2016. Lemgo: Hochschule Ostwestfalen-Lippe, pp. 269–280."},"place":"Lemgo"}]