[{"date_updated":"2023-03-15T13:50:01Z","related_material":{"link":[{"url":"https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2017_Proceeding_web.pdf","relation":"contains"}]},"editor":[{"last_name":"Padoano","first_name":"Elio","full_name":"Padoano, Elio"},{"first_name":"Franz-Josef","full_name":"Villmer, Franz-Josef","last_name":"Villmer"}],"corporate_editor":["Department of Production Engineering and Management","Hochschule Ostwestfalen-Lippe"],"date_created":"2019-02-18T09:46:43Z","publication_identifier":{"isbn":["978-3-946856-01-6"]},"publication":"Production Engineeringand Management","language":[{"iso":"eng"}],"keyword":["Nondestructive quality control","Predictive analytics","Metal model","Additive manufacturing"],"oa":"1","citation":{"ama":"Scheideler E, Huxol A, Villmer F-J. Nondestructive Quality Check of Additive Manufactured Parts Using Empirical Models. In: Padoano E, Villmer F-J, Department of Production Engineering and Management, eds. <i>Production Engineeringand Management</i>. Publication series in direct digital manufacturing . Lemgo; 2017:89-100.","ieee":"E. Scheideler, A. Huxol, and F.-J. Villmer, “Nondestructive Quality Check of Additive Manufactured Parts Using Empirical Models,” in <i>Production Engineeringand Management</i>, Pordenone, Italy, 2017, no. 1, pp. 89–100.","van":"Scheideler E, Huxol A, Villmer F-J. Nondestructive Quality Check of Additive Manufactured Parts Using Empirical Models. In: Padoano E, Villmer F-J, Department of Production Engineering and Management, editors. Production Engineeringand Management. Lemgo; 2017. p. 89–100. (Publication series in direct digital manufacturing ).","havard":"E. Scheideler, A. Huxol, F.-J. Villmer, Nondestructive Quality Check of Additive Manufactured Parts Using Empirical Models, in: E. Padoano, F.-J. Villmer, Department of Production Engineering and Management (Eds.), Production Engineeringand Management, Lemgo, 2017: pp. 89–100.","mla":"Scheideler, Eva, et al. “Nondestructive Quality Check of Additive Manufactured Parts Using Empirical Models.” <i>Production Engineeringand Management</i>, edited by Elio Padoano et al., no. 1, 2017, pp. 89–100.","bjps":"<b>Scheideler E, Huxol A and Villmer F-J</b> (2017) Nondestructive Quality Check of Additive Manufactured Parts Using Empirical Models. In Padoano E, Villmer F-J and Department of Production Engineering and Management (eds), <i>Production Engineeringand Management</i>. Lemgo, pp. 89–100.","ufg":"<b>Scheideler, Eva et. al. (2017)</b>: Nondestructive Quality Check of Additive Manufactured Parts Using Empirical Models, in: Elio Padoano et. al. (Hgg.): <i>Production Engineeringand Management</i> (=<i>Publication series in direct digital manufacturing </i>), Lemgo, S. 89–100.","apa":"Scheideler, E., Huxol, A., &#38; Villmer, F.-J. (2017). Nondestructive Quality Check of Additive Manufactured Parts Using Empirical Models. In E. Padoano, F.-J. Villmer, &#38; Department of Production Engineering and Management (Eds.), <i>Production Engineeringand Management</i> (pp. 89–100). Lemgo.","chicago":"Scheideler, Eva, Andrea Huxol, and Franz-Josef Villmer. “Nondestructive Quality Check of Additive Manufactured Parts Using Empirical Models.” In <i>Production Engineeringand Management</i>, edited by Elio Padoano, Franz-Josef Villmer, and Department of Production Engineering and Management, 89–100. Publication Series in Direct Digital Manufacturing . Lemgo, 2017.","short":"E. Scheideler, A. Huxol, F.-J. Villmer, in: E. Padoano, F.-J. Villmer, Department of Production Engineering and Management (Eds.), Production Engineeringand Management, Lemgo, 2017, pp. 89–100.","chicago-de":"Scheideler, Eva, Andrea Huxol und Franz-Josef Villmer. 2017. Nondestructive Quality Check of Additive Manufactured Parts Using Empirical Models. In: <i>Production Engineeringand Management</i>, hg. von Elio Padoano, Franz-Josef Villmer, und Department of Production Engineering and Management, 89–100. Publication series in direct digital manufacturing . Lemgo.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Scheideler, Eva</span> ; <span style=\"font-variant:small-caps;\">Huxol, Andrea</span> ; <span style=\"font-variant:small-caps;\">Villmer, Franz-Josef</span>: Nondestructive Quality Check of Additive Manufactured Parts Using Empirical Models. In: <span style=\"font-variant:small-caps;\">Padoano, E.</span> ; <span style=\"font-variant:small-caps;\">Villmer, F.-J.</span> ; <span style=\"font-variant:small-caps;\">Department of Production Engineering and Management</span> (Hrsg.): <i>Production Engineeringand Management</i>, <i>Publication series in direct digital manufacturing </i>. Lemgo, 2017, S. 89–100"},"title":"Nondestructive Quality Check of Additive Manufactured Parts Using Empirical Models","page":"89-100","status":"public","year":2017,"author":[{"id":"61522","first_name":"Eva","last_name":"Scheideler","full_name":"Scheideler, Eva"},{"full_name":"Huxol, Andrea","id":"43559","first_name":"Andrea","last_name":"Huxol"},{"first_name":"Franz-Josef","full_name":"Villmer, Franz-Josef","last_name":"Villmer","id":"14290"}],"main_file_link":[{"open_access":"1","url":"https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2017_Proceeding_web.pdf"}],"user_id":"45673","type":"conference","place":"Lemgo","_id":"570","publication_status":"published","series_title":"Publication series in direct digital manufacturing ","conference":{"location":"Pordenone, Italy","name":"Proceedings7th International Conference","end_date":"2017-09-29","start_date":"2017-09-28"},"department":[{"_id":"DEP1306"}],"abstract":[{"text":"Additive manufacturing (AM) has matured rapidly during the last years due to the advancement of AM machines and materials. Nevertheless, the widespread adoption of AM is still challenged by producing parts with reliable quality. The aim of this paper is t o introduce a first approach to apply in-situ monitoring for quality evaluation of produced parts. Based on the monitored data, a model is developed, in order to predict the quality of ready built parts.","lang":"eng"}],"issue":"1"},{"place":"Lemgo","_id":"577","type":"conference","user_id":"45673","department":[{"_id":"DEP1306"}],"conference":{"end_date":"2017-09-29","start_date":"2017-09-28","name":"Proceedings7th International Conference","location":"Pordenone, Italy"},"abstract":[{"lang":"eng","text":"A rising number of product variants together with decreasing lot sizes are a result of the trend of individualization. Besides the upcoming organizational issues, changes in the production technologies are required. Direct digital manufacturing contributes to solve this problem by enabling the production of parts right from the CAD data.Process capability analysis is applied in several industries to prove the reliable compliance of products with quality requirements. As it is based on statistical methods, new challenges arise in the context of single-part production.The paper describes and compares different approaches for the adoption of process capability analysis for single-part production with special focus on additive manufacturing technologies. The statistical background and the applicability of different capability parameters are discussed. An overview of existing research work is given and supplemented by own approaches for the adoption of statistical methods for single-part production. The aim of the research work is to establish a first approach for the qualification of new technologies in single-part production."}],"issue":"1","series_title":"Publication series in direct digital manufacturing ","publication_status":"published","oa":"1","language":[{"iso":"eng"}],"keyword":["Statistical process control","Process capability analysis","Single-part production","Process optimization"],"date_created":"2019-02-18T11:16:07Z","publication_identifier":{"isbn":["978-3-946856-01-6"]},"publication":"Production Engineering and Management","related_material":{"link":[{"url":"https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2017_Proceeding_web.pdf","relation":"contains"}]},"date_updated":"2023-03-15T13:50:01Z","editor":[{"last_name":"Padoano","first_name":"Elio","full_name":"Padoano, Elio"},{"first_name":"Franz-Josef","full_name":"Villmer, Franz-Josef","last_name":"Villmer"}],"corporate_editor":["Department of Production Engineering and Management","Hochschule Ostwestfalen-Lippe"],"main_file_link":[{"url":"https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2017_Proceeding_web.pdf","open_access":"1"}],"year":2017,"author":[{"full_name":"Huxol, Andrea","last_name":"Huxol","first_name":"Andrea","id":"43559"},{"id":"68611","first_name":"Andrea","full_name":"Davis, Andrea","last_name":"Davis"},{"id":"14290","first_name":"Franz-Josef","last_name":"Villmer","full_name":"Villmer, Franz-Josef"},{"first_name":"Eva","last_name":"Scheideler","full_name":"Scheideler, Eva","id":"61522"}],"page":"63-74","status":"public","title":"Deployment of Process Capability Analysis for Single-Part Production","citation":{"short":"A. Huxol, A. Davis, F.-J. Villmer, E. Scheideler, in: E. Padoano, F.-J. Villmer, Department of Production Engineering and Management (Eds.), Production Engineering and Management, Lemgo, 2017, pp. 63–74.","chicago-de":"Huxol, Andrea, Andrea Davis, Franz-Josef Villmer und Eva Scheideler. 2017. Deployment of Process Capability Analysis for Single-Part Production. In: <i>Production Engineering and Management</i>, hg. von Elio Padoano, Franz-Josef Villmer, und Department of Production Engineering and Management, 63–74. Publication series in direct digital manufacturing . Lemgo.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Huxol, Andrea</span> ; <span style=\"font-variant:small-caps;\">Davis, Andrea</span> ; <span style=\"font-variant:small-caps;\">Villmer, Franz-Josef</span> ; <span style=\"font-variant:small-caps;\">Scheideler, Eva</span>: Deployment of Process Capability Analysis for Single-Part Production. In: <span style=\"font-variant:small-caps;\">Padoano, E.</span> ; <span style=\"font-variant:small-caps;\">Villmer, F.-J.</span> ; <span style=\"font-variant:small-caps;\">Department of Production Engineering and Management</span> (Hrsg.): <i>Production Engineering and Management</i>, <i>Publication series in direct digital manufacturing </i>. Lemgo, 2017, S. 63–74","apa":"Huxol, A., Davis, A., Villmer, F.-J., &#38; Scheideler, E. (2017). Deployment of Process Capability Analysis for Single-Part Production. In E. Padoano, F.-J. Villmer, &#38; Department of Production Engineering and Management (Eds.), <i>Production Engineering and Management</i> (pp. 63–74). Lemgo.","chicago":"Huxol, Andrea, Andrea Davis, Franz-Josef Villmer, and Eva Scheideler. “Deployment of Process Capability Analysis for Single-Part Production.” In <i>Production Engineering and Management</i>, edited by Elio Padoano, Franz-Josef Villmer, and Department of Production Engineering and Management, 63–74. Publication Series in Direct Digital Manufacturing . Lemgo, 2017.","van":"Huxol A, Davis A, Villmer F-J, Scheideler E. Deployment of Process Capability Analysis for Single-Part Production. In: Padoano E, Villmer F-J, Department of Production Engineering and Management, editors. Production Engineering and Management. Lemgo; 2017. p. 63–74. (Publication series in direct digital manufacturing ).","ufg":"<b>Huxol, Andrea et. al. (2017)</b>: Deployment of Process Capability Analysis for Single-Part Production, in: Elio Padoano et. al. (Hgg.): <i>Production Engineering and Management</i> (=<i>Publication series in direct digital manufacturing </i>), Lemgo, S. 63–74.","havard":"A. Huxol, A. Davis, F.-J. Villmer, E. Scheideler, Deployment of Process Capability Analysis for Single-Part Production, in: E. Padoano, F.-J. Villmer, Department of Production Engineering and Management (Eds.), Production Engineering and Management, Lemgo, 2017: pp. 63–74.","bjps":"<b>Huxol A <i>et al.</i></b> (2017) Deployment of Process Capability Analysis for Single-Part Production. In Padoano E, Villmer F-J and Department of Production Engineering and Management (eds), <i>Production Engineering and Management</i>. Lemgo, pp. 63–74.","mla":"Huxol, Andrea, et al. “Deployment of Process Capability Analysis for Single-Part Production.” <i>Production Engineering and Management</i>, edited by Elio Padoano et al., no. 1, 2017, pp. 63–74.","ieee":"A. Huxol, A. Davis, F.-J. Villmer, and E. Scheideler, “Deployment of Process Capability Analysis for Single-Part Production,” in <i>Production Engineering and Management</i>, Pordenone, Italy, 2017, no. 1, pp. 63–74.","ama":"Huxol A, Davis A, Villmer F-J, Scheideler E. Deployment of Process Capability Analysis for Single-Part Production. In: Padoano E, Villmer F-J, Department of Production Engineering and Management, eds. <i>Production Engineering and Management</i>. Publication series in direct digital manufacturing . Lemgo; 2017:63-74."}},{"type":"conference","user_id":"45673","_id":"579","place":"Lemgo","publication_status":"published","issue":"1","abstract":[{"lang":"eng","text":"Selective Laser Melting (SLM) is a powder bed fusion process to produce additively metal parts. From the current point of view, it seems to be one of the most promising additive manufacturing technologies for the production of end use parts. An increasing number of examples prove the successful application of SLM for technical part production. Nevertheless, they also show the enormous effort that is still required to qualify the production process of every single part individually.The present paper gives an overview of the major influencing factors of the SLM process. To get a comprehensive research approach, existing publications on the topic are taken into account as well as own experimental work, evaluating the effects of the process parameters on the relative density of samples made from tool steel. The experimental setup and the results are described and opportunities for the further research work are discussed."}],"department":[{"_id":"DEP1306"}],"conference":{"end_date":"2017-09-29","start_date":"2017-09-28","location":"Pordenone, Italy","name":"Proceedings 7th International Conference"},"date_created":"2019-02-18T11:34:36Z","publication":"Production Engineering and Management","publication_identifier":{"isbn":["978-3-946856-01-6"]},"editor":[{"first_name":"Elio","full_name":"Padoano, Elio","last_name":"Padoano"},{"last_name":"Villmer","first_name":"Franz-Josef","full_name":"Villmer, Franz-Josef"}],"corporate_editor":["Department of Production Engineering and Management","Hochschule Ostwestfalen-Lippe"],"related_material":{"link":[{"relation":"contains","url":"https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2017_Proceeding_web.pdf"}]},"date_updated":"2023-03-15T13:50:02Z","oa":"1","language":[{"iso":"eng"}],"keyword":["Selective laser melting","Additive manufacturing","Process parameters","Process optimization"],"title":"Influencing Factors on Part Quality in Selective Laser Melting","citation":{"van":"Huxol A, Scheideler E, Villmer F-J. Influencing Factors on Part Quality in Selective Laser Melting. In: Padoano E, Villmer F-J, Department of Production Engineering and Management, editors. Production Engineering and Management. Lemgo; 2017. p. 13–34.","ama":"Huxol A, Scheideler E, Villmer F-J. Influencing Factors on Part Quality in Selective Laser Melting. In: Padoano E, Villmer F-J, Department of Production Engineering and Management, eds. <i>Production Engineering and Management</i>. Lemgo; 2017:13-34.","ufg":"<b>Huxol, Andrea et. al. (2017)</b>: Influencing Factors on Part Quality in Selective Laser Melting, in: Elio Padoano et. al. (Hgg.): <i>Production Engineering and Management</i>, Lemgo, S. 13–34.","havard":"A. Huxol, E. Scheideler, F.-J. Villmer, Influencing Factors on Part Quality in Selective Laser Melting, in: E. Padoano, F.-J. Villmer, Department of Production Engineering and Management (Eds.), Production Engineering and Management, Lemgo, 2017: pp. 13–34.","mla":"Huxol, Andrea, et al. “Influencing Factors on Part Quality in Selective Laser Melting.” <i>Production Engineering and Management</i>, edited by Elio Padoano et al., no. 1, 2017, pp. 13–34.","bjps":"<b>Huxol A, Scheideler E and Villmer F-J</b> (2017) Influencing Factors on Part Quality in Selective Laser Melting. In Padoano E, Villmer F-J and Department of Production Engineering and Management (eds), <i>Production Engineering and Management</i>. Lemgo, pp. 13–34.","apa":"Huxol, A., Scheideler, E., &#38; Villmer, F.-J. (2017). Influencing Factors on Part Quality in Selective Laser Melting. In E. Padoano, F.-J. Villmer, &#38; Department of Production Engineering and Management (Eds.), <i>Production Engineering and Management</i> (pp. 13–34). Lemgo.","ieee":"A. Huxol, E. Scheideler, and F.-J. Villmer, “Influencing Factors on Part Quality in Selective Laser Melting,” in <i>Production Engineering and Management</i>, Pordenone, Italy, 2017, no. 1, pp. 13–34.","chicago":"Huxol, Andrea, Eva Scheideler, and Franz-Josef Villmer. “Influencing Factors on Part Quality in Selective Laser Melting.” In <i>Production Engineering and Management</i>, edited by Elio Padoano, Franz-Josef Villmer, and Department of Production Engineering and Management, 13–34. Lemgo, 2017.","short":"A. Huxol, E. Scheideler, F.-J. Villmer, in: E. Padoano, F.-J. Villmer, Department of Production Engineering and Management (Eds.), Production Engineering and Management, Lemgo, 2017, pp. 13–34.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Huxol, Andrea</span> ; <span style=\"font-variant:small-caps;\">Scheideler, Eva</span> ; <span style=\"font-variant:small-caps;\">Villmer, Franz-Josef</span>: Influencing Factors on Part Quality in Selective Laser Melting. In: <span style=\"font-variant:small-caps;\">Padoano, E.</span> ; <span style=\"font-variant:small-caps;\">Villmer, F.-J.</span> ; <span style=\"font-variant:small-caps;\">Department of Production Engineering and Management</span> (Hrsg.): <i>Production Engineering and Management</i>. Lemgo, 2017, S. 13–34","chicago-de":"Huxol, Andrea, Eva Scheideler und Franz-Josef Villmer. 2017. Influencing Factors on Part Quality in Selective Laser Melting. In: <i>Production Engineering and Management</i>, hg. von Elio Padoano, Franz-Josef Villmer, und Department of Production Engineering and Management, 13–34. Lemgo."},"author":[{"id":"43559","last_name":"Huxol","full_name":"Huxol, Andrea","first_name":"Andrea"},{"full_name":"Scheideler, Eva","first_name":"Eva","last_name":"Scheideler","id":"61522"},{"last_name":"Villmer","first_name":"Franz-Josef","full_name":"Villmer, Franz-Josef","id":"14290"}],"year":2017,"main_file_link":[{"url":"https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2017_Proceeding_web.pdf","open_access":"1"}],"page":"13-34","status":"public"},{"date_created":"2019-02-18T11:34:36Z","publication":"\t Production engineering and management : proceedings 7th international conference, September 28 and 29, 2017, Pordenone, Italy ","publication_identifier":{"isbn":["978-3-946856-01-6"]},"editor":[{"last_name":"Padoano","first_name":"Elio","full_name":"Padoano, Elio"},{"id":"14290","first_name":"Franz-Josef","last_name":"Villmer","full_name":"Villmer, Franz-Josef"}],"corporate_editor":["Department of Production Engineering and Management","Hochschule Ostwestfalen-Lippe"],"related_material":{"link":[{"url":"https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2017_Proceeding_web.pdf","relation":"contains"}]},"date_updated":"2024-03-22T13:19:02Z","oa":"1","language":[{"iso":"eng"}],"keyword":["Additive manufacturing","Process control","Predictive modeling","Predictive control"],"title":"Quality Control of Additive Manufacturing Using Statistical Prediction Models","volume":2017,"citation":{"short":"E. Scheideler, A. Ahlemeyer-Stubbe, in: E. Padoano, F.-J. Villmer, Department of Production Engineering and Management, Hochschule Ostwestfalen-Lippe (Eds.),   Production Engineering and Management : Proceedings 7th International Conference, September 28 and 29, 2017, Pordenone, Italy , Lemgo, 2017, pp. 3–12.","chicago-de":"Scheideler, Eva und Andrea Ahlemeyer-Stubbe. 2017. Quality Control of Additive Manufacturing Using Statistical Prediction Models. In: <i>  Production engineering and management : proceedings 7th international conference, September 28 and 29, 2017, Pordenone, Italy </i>, hg. von Elio Padoano, Franz-Josef Villmer, Department of Production Engineering and Management, und Hochschule Ostwestfalen-Lippe, 2017:3–12.   Publication series in direct digital manufacturing . Lemgo.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Scheideler, Eva</span> ; <span style=\"font-variant:small-caps;\">Ahlemeyer-Stubbe, Andrea</span>: Quality Control of Additive Manufacturing Using Statistical Prediction Models. In: <span style=\"font-variant:small-caps;\">Padoano, E.</span> ; <span style=\"font-variant:small-caps;\">Villmer, F.-J.</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 7th international conference, September 28 and 29, 2017, Pordenone, Italy </i>, <i>  Publication series in direct digital manufacturing </i>. Bd. 2017. Lemgo, 2017, S. 3–12","apa":"Scheideler, E., &#38; Ahlemeyer-Stubbe, A. (2017). Quality Control of Additive Manufacturing Using Statistical Prediction Models. In E. Padoano, F.-J. Villmer, Department of Production Engineering and Management, &#38; Hochschule Ostwestfalen-Lippe (Eds.), <i>  Production engineering and management : proceedings 7th international conference, September 28 and 29, 2017, Pordenone, Italy </i> (Vol. 2017, Issue 1, pp. 3–12).","chicago":"Scheideler, Eva, and Andrea Ahlemeyer-Stubbe. “Quality Control of Additive Manufacturing Using Statistical Prediction Models.” In <i>  Production Engineering and Management : Proceedings 7th International Conference, September 28 and 29, 2017, Pordenone, Italy </i>, edited by Elio Padoano, Franz-Josef Villmer, Department of Production Engineering and Management, and Hochschule Ostwestfalen-Lippe, 2017:3–12.   Publication Series in Direct Digital Manufacturing . Lemgo, 2017.","van":"Scheideler E, Ahlemeyer-Stubbe A. Quality Control of Additive Manufacturing Using Statistical Prediction Models. In: Padoano E, Villmer FJ, Department of Production Engineering and Management, Hochschule Ostwestfalen-Lippe, editors.   Production engineering and management : proceedings 7th international conference, September 28 and 29, 2017, Pordenone, Italy . Lemgo; 2017. p. 3–12. (  Publication series in direct digital manufacturing ; vol. 2017).","ufg":"<b>Scheideler, Eva/Ahlemeyer-Stubbe, Andrea</b>: Quality Control of Additive Manufacturing Using Statistical Prediction Models, in: <i>Padoano, Elio u. a. (Hgg.)</i>:   Production engineering and management : proceedings 7th international conference, September 28 and 29, 2017, Pordenone, Italy , Bd. 2017, Lemgo 2017 (  Publication series in direct digital manufacturing ),  S. 3–12.","havard":"E. Scheideler, A. Ahlemeyer-Stubbe, Quality Control of Additive Manufacturing Using Statistical Prediction Models, in: E. Padoano, F.-J. Villmer, Department of Production Engineering and Management, Hochschule Ostwestfalen-Lippe (Eds.),   Production Engineering and Management : Proceedings 7th International Conference, September 28 and 29, 2017, Pordenone, Italy , Lemgo, 2017: pp. 3–12.","mla":"Scheideler, Eva, and Andrea Ahlemeyer-Stubbe. “Quality Control of Additive Manufacturing Using Statistical Prediction Models.” <i>  Production Engineering and Management : Proceedings 7th International Conference, September 28 and 29, 2017, Pordenone, Italy </i>, edited by Elio Padoano et al., vol. 2017, no. 1, 2017, pp. 3–12.","bjps":"<b>Scheideler E and Ahlemeyer-Stubbe A</b> (2017) Quality Control of Additive Manufacturing Using Statistical Prediction Models. In Padoano E et al. (eds), <i>  Production Engineering and Management : Proceedings 7th International Conference, September 28 and 29, 2017, Pordenone, Italy </i>, vol. 2017. Lemgo, pp. 3–12.","ieee":"E. Scheideler and A. Ahlemeyer-Stubbe, “Quality Control of Additive Manufacturing Using Statistical Prediction Models,” in <i>  Production engineering and management : proceedings 7th international conference, September 28 and 29, 2017, Pordenone, Italy </i>, Pordenone, Italy, 2017, vol. 2017, no. 1, pp. 3–12.","ama":"Scheideler E, Ahlemeyer-Stubbe A. Quality Control of Additive Manufacturing Using Statistical Prediction Models. In: Padoano E, Villmer FJ, Department of Production Engineering and Management, Hochschule Ostwestfalen-Lippe, eds. <i>  Production Engineering and Management : Proceedings 7th International Conference, September 28 and 29, 2017, Pordenone, Italy </i>. Vol 2017.   Publication series in direct digital manufacturing . ; 2017:3-12."},"author":[{"first_name":"Eva","full_name":"Scheideler, Eva","id":"61522","last_name":"Scheideler"},{"first_name":"Andrea","last_name":"Ahlemeyer-Stubbe","full_name":"Ahlemeyer-Stubbe, Andrea"}],"main_file_link":[{"url":"https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2017_Proceeding_web.pdf","open_access":"1"}],"year":"2017","page":"3-12","status":"public","type":"conference","intvolume":"      2017","user_id":"83781","_id":"580","place":"Lemgo","series_title":"\t Publication series in direct digital manufacturing ","publication_status":"published","issue":"1","abstract":[{"lang":"eng","text":"Additive Manufacturing (AM) is increasingly used to design new products. This is possible due to the further development of the AM-processes and materials. The lack of quality assurance of AM built parts is a key technological barrier that prevents manufacturers from adopting. The quality of an additive manufactured part is influenced by more than 50 parameters, which make process control difficult. Current research deals with using real time monitoring of the melt pool as feedback control for laser power. This paper illustrates challenges and opportunities of applying statistical predictive modeling and unsupervised learning to control additive manufacturing. In particular, an approach how to build a feedforward controller will be discussed."}],"department":[{"_id":"DEP1306"}],"conference":{"start_date":"2017-09-28","end_date":"2017-09-29","name":"7th International Conference on Production Engineering and Management","location":"Pordenone, Italy"}},{"date_created":"2019-02-18T13:02:40Z","publication":"Rapid.Tech – International Trade Show & Conference for Additive Manufacturing","publication_identifier":{"isbn":["978-3-44645459-0","978-3-44645460-6"]},"related_material":{"link":[{"url":"https://www.hanser-elibrary.com/doi/pdf/10.3139/9783446454606.001","relation":"contains"},{"url":"https://www.hs-owl.de/fb7/fileadmin/download/labore/konstruktion/06_Tagungen/01_RP_Tagungen/22_RP/Scheideler_DiMan.pdf","relation":"supplementary_material"}]},"date_updated":"2023-03-15T13:50:02Z","language":[{"iso":"eng"}],"title":"Anforderungen an integrierte Prozessketten in der Additiven Fertigung","citation":{"ama":"Scheideler E, Villmer F-J. Anforderungen an integrierte Prozessketten in der Additiven Fertigung. In: <i>Rapid.Tech – International Trade Show &#38; Conference for Additive Manufacturing</i>. München: Carl Hanser Verlag GmbH &#38; Co. KG; 2017:10-24. doi:<a href=\"https://doi.org/10.3139/9783446454606.001\">10.3139/9783446454606.001</a>","ieee":"E. Scheideler and F.-J. Villmer, “Anforderungen an integrierte Prozessketten in der Additiven Fertigung,” in <i>Rapid.Tech – International Trade Show &#38; Conference for Additive Manufacturing</i>, 2017, no. 1, pp. 10–24.","chicago-de":"Scheideler, Eva und Franz-Josef Villmer. 2017. Anforderungen an integrierte Prozessketten in der Additiven Fertigung. In: <i>Rapid.Tech – International Trade Show &#38; Conference for Additive Manufacturing</i>, 10–24. München: Carl Hanser Verlag GmbH &#38; Co. KG. doi:<a href=\"https://doi.org/10.3139/9783446454606.001,\">10.3139/9783446454606.001,</a> .","din1505-2-1":"<span style=\"font-variant:small-caps;\">Scheideler, Eva</span> ; <span style=\"font-variant:small-caps;\">Villmer, Franz-Josef</span>: Anforderungen an integrierte Prozessketten in der Additiven Fertigung. In: <i>Rapid.Tech – International Trade Show &#38; Conference for Additive Manufacturing</i>. München : Carl Hanser Verlag GmbH &#38; Co. KG, 2017, S. 10–24","short":"E. Scheideler, F.-J. Villmer, in: Rapid.Tech – International Trade Show &#38; Conference for Additive Manufacturing, Carl Hanser Verlag GmbH &#38; Co. KG, München, 2017, pp. 10–24.","ufg":"<b>Scheideler, Eva/Villmer, Franz-Josef (2017)</b>: Anforderungen an integrierte Prozessketten in der Additiven Fertigung, in: <i>Rapid.Tech – International Trade Show &#38; Conference for Additive Manufacturing</i>, München, S. 10–24.","mla":"Scheideler, Eva, and Franz-Josef Villmer. “Anforderungen an Integrierte Prozessketten in Der Additiven Fertigung.” <i>Rapid.Tech – International Trade Show &#38; Conference for Additive Manufacturing</i>, no. 1, Carl Hanser Verlag GmbH &#38; Co. KG, 2017, pp. 10–24, doi:<a href=\"https://doi.org/10.3139/9783446454606.001\">10.3139/9783446454606.001</a>.","havard":"E. Scheideler, F.-J. Villmer, Anforderungen an integrierte Prozessketten in der Additiven Fertigung, in: Rapid.Tech – International Trade Show &#38; Conference for Additive Manufacturing, Carl Hanser Verlag GmbH &#38; Co. KG, München, 2017: pp. 10–24.","bjps":"<b>Scheideler E and Villmer F-J</b> (2017) Anforderungen an Integrierte Prozessketten in Der Additiven Fertigung. <i>Rapid.Tech – International Trade Show &#38; Conference for Additive Manufacturing</i>. München: Carl Hanser Verlag GmbH &#38; Co. KG, pp. 10–24.","van":"Scheideler E, Villmer F-J. Anforderungen an integrierte Prozessketten in der Additiven Fertigung. In: RapidTech – International Trade Show &#38; Conference for Additive Manufacturing. München: Carl Hanser Verlag GmbH &#38; Co. KG; 2017. p. 10–24.","chicago":"Scheideler, Eva, and Franz-Josef Villmer. “Anforderungen an Integrierte Prozessketten in Der Additiven Fertigung.” In <i>Rapid.Tech – International Trade Show &#38; Conference for Additive Manufacturing</i>, 10–24. München: Carl Hanser Verlag GmbH &#38; Co. KG, 2017. <a href=\"https://doi.org/10.3139/9783446454606.001\">https://doi.org/10.3139/9783446454606.001</a>.","apa":"Scheideler, E., &#38; Villmer, F.-J. (2017). Anforderungen an integrierte Prozessketten in der Additiven Fertigung. In <i>Rapid.Tech – International Trade Show &#38; Conference for Additive Manufacturing</i> (pp. 10–24). München: Carl Hanser Verlag GmbH &#38; Co. KG. <a href=\"https://doi.org/10.3139/9783446454606.001\">https://doi.org/10.3139/9783446454606.001</a>"},"main_file_link":[{"url":"https://www.hanser-elibrary.com/doi/pdf/10.3139/9783446454606.001"}],"author":[{"first_name":"Eva","last_name":"Scheideler","full_name":"Scheideler, Eva","id":"61522"},{"last_name":"Villmer","first_name":"Franz-Josef","full_name":"Villmer, Franz-Josef","id":"14290"}],"year":2017,"page":"10-24","status":"public","type":"conference","user_id":"45673","place":"München","doi":"10.3139/9783446454606.001","_id":"581","publication_status":"published","department":[{"_id":"DEP1306"}],"issue":"1","publisher":"Carl Hanser Verlag GmbH & Co. KG"},{"intvolume":"         1","user_id":"83781","date_updated":"2024-03-22T13:09:48Z","publication_identifier":{"eissn":["2509-7075"]},"publication":"ce/papers : Proceedings in Civil Engineering","date_created":"2019-02-21T16:16:43Z","type":"journal_article","_id":"609","doi":"10.1002/cepa.16","language":[{"iso":"ger"}],"volume":1,"citation":{"chicago-de":"Scheideler, Eva, Andrea Ahlemeyer-Stubbe und Josef Scheideler. 2017. Statistische Modellierung zur Unterstützung von Industrie 4.0 im Glasbau. <i>ce/papers : Proceedings in Civil Engineering</i> 1, Nr. 1: 142–152. doi:<a href=\"https://doi.org/10.1002/cepa.16\">10.1002/cepa.16</a>, .","din1505-2-1":"<span style=\"font-variant:small-caps;\">Scheideler, Eva</span> ; <span style=\"font-variant:small-caps;\">Ahlemeyer-Stubbe, Andrea</span> ; <span style=\"font-variant:small-caps;\">Scheideler, Josef</span>: Statistische Modellierung zur Unterstützung von Industrie 4.0 im Glasbau. In: <i>ce/papers : Proceedings in Civil Engineering</i> Bd. 1, Ernst &#38; Sohn, a Wiley brand  (2017), Nr. 1, S. 142–152","short":"E. Scheideler, A. Ahlemeyer-Stubbe, J. Scheideler, ce/papers : Proceedings in Civil Engineering 1 (2017) 142–152.","chicago":"Scheideler, Eva, Andrea Ahlemeyer-Stubbe, and Josef Scheideler. “Statistische Modellierung zur Unterstützung von Industrie 4.0 im Glasbau.” <i>ce/papers : Proceedings in Civil Engineering</i> 1, no. 1 (2017): 142–52. <a href=\"https://doi.org/10.1002/cepa.16\">https://doi.org/10.1002/cepa.16</a>.","apa":"Scheideler, E., Ahlemeyer-Stubbe, A., &#38; Scheideler, J. (2017). Statistische Modellierung zur Unterstützung von Industrie 4.0 im Glasbau. <i>ce/papers : Proceedings in Civil Engineering</i>, <i>1</i>(1), 142–152. <a href=\"https://doi.org/10.1002/cepa.16\">https://doi.org/10.1002/cepa.16</a>","mla":"Scheideler, Eva, et al. “Statistische Modellierung zur Unterstützung von Industrie 4.0 im Glasbau.” <i>ce/papers : Proceedings in Civil Engineering</i>, vol. 1, no. 1, 2017, pp. 142–52, <a href=\"https://doi.org/10.1002/cepa.16\">https://doi.org/10.1002/cepa.16</a>.","bjps":"<b>Scheideler E, Ahlemeyer-Stubbe A and Scheideler J</b> (2017) Statistische Modellierung zur Unterstützung von Industrie 4.0 im Glasbau. <i>ce/papers : Proceedings in Civil Engineering</i> <b>1</b>, 142–152.","havard":"E. Scheideler, A. Ahlemeyer-Stubbe, J. Scheideler, Statistische Modellierung zur Unterstützung von Industrie 4.0 im Glasbau, ce/papers : Proceedings in Civil Engineering. 1 (2017) 142–152.","ufg":"<b>Scheideler, Eva/Ahlemeyer-Stubbe, Andrea/Scheideler, Josef</b>: Statistische Modellierung zur Unterstützung von Industrie 4.0 im Glasbau, in: <i>ce/papers : Proceedings in Civil Engineering</i> 1 (2017), H. 1,  S. 142–152.","van":"Scheideler E, Ahlemeyer-Stubbe A, Scheideler J. Statistische Modellierung zur Unterstützung von Industrie 4.0 im Glasbau. ce/papers : Proceedings in Civil Engineering. 2017;1(1):142–52.","ieee":"E. Scheideler, A. Ahlemeyer-Stubbe, and J. Scheideler, “Statistische Modellierung zur Unterstützung von Industrie 4.0 im Glasbau,” <i>ce/papers : Proceedings in Civil Engineering</i>, vol. 1, no. 1, pp. 142–152, 2017, doi: <a href=\"https://doi.org/10.1002/cepa.16\">10.1002/cepa.16</a>.","ama":"Scheideler E, Ahlemeyer-Stubbe A, Scheideler J. Statistische Modellierung zur Unterstützung von Industrie 4.0 im Glasbau. <i>ce/papers : Proceedings in Civil Engineering</i>. 2017;1(1):142-152. doi:<a href=\"https://doi.org/10.1002/cepa.16\">10.1002/cepa.16</a>"},"publication_status":"published","title":"Statistische Modellierung zur Unterstützung von Industrie 4.0 im Glasbau","publisher":"Ernst & Sohn, a Wiley brand ","status":"public","page":"142-152","issue":"1","abstract":[{"text":"Einfach, ohne Expertenwissen anzuwenden – solch ein Planungswerkzeug spart Zeit und Geld. Dieser Artikel stellt eine neue, effiziente Berechnungsmöglichkeit vor, die z.B. Vertriebsmitarbeiter oder Architekten befähigt, Risiken bezüglich Durch‐ oder Absturzsicherheit bei allseitig gelagerten Verglasungen früh in der Planung schnell abzuprüfen. Dabei werden statistische Modelle und Simulationsberechnungen eingesetzt. Verifiziert wurde die Methode gemäß DIN 18008 Teil 4 und Teil 6 mit den Möglichkeiten der Finite‐Element‐Rechnung und Referenzdatensätzen. Sie kann eine finale statische Beurteilung (z.B. prüffähige Statik) nicht ersetzen, doch sie kann im Lauf der Planung verlässliche Abschätzungen liefern und somit Geld und Zeit einsparen.","lang":"ger"}],"year":"2017","author":[{"first_name":"Eva","id":"61522","last_name":"Scheideler","full_name":"Scheideler, Eva"},{"last_name":"Ahlemeyer-Stubbe","first_name":"Andrea","full_name":"Ahlemeyer-Stubbe, Andrea"},{"last_name":"Scheideler","full_name":"Scheideler, Josef","first_name":"Josef"}],"department":[{"_id":"DEP1306"}]},{"place":"Lemgo","_id":"457","type":"conference","user_id":"79260","department":[{"_id":"DEP1306"}],"conference":{"end_date":"2016-09-30","start_date":"2016-09-29","location":"Lemgo","name":"Proceedings 6th International Conference"},"issue":"1","abstract":[{"text":"Additive Manufacturing (AM) increasingly enables the realization of structures, which have a much greater freedom of design und can therefore better  use  nature  as  a  design  ideal.  Bionic  design  principles  have  already been introduced  into  general  design  approaches,  and  several topology optimization systems (TO) are available today to increase structural stiffness and  to  enable  lightweight  design.  AM  and  TO,  used  in  synergy,  promise completely  new  application areas. However,  staircase effects resulting from a  layer-by-layer  build  process  and  unavoidable  support  structures  which must be mechanically removed afterwards are disadvantageous with respect to surface texture and strength properties.\r\nThe present article addresses the question  of how far the notches resulting from the staircase effect of Additive Manufacturing and the support structures  removed  decrease  the  strength  of  components.  Most  engineers try  to follow the inner flow of forces in a part’s design by smoothening surfaces in notched areas. Considering  this,  a  elected component  is investigated  with  finite  element  analysis  (FEA)  with  special  regard  for  the concentration  of  tress arising from surface notch effects. An outlook is given as regards how a reduction of the notch effect from the taircase effect can be achieved effectively.","lang":"eng"}],"publication_status":"published","oa":"1","keyword":["Additive  Manufacturing","Topology optimization","Staircase effect","Support structures","Stress concentration","Lightweight construction","Design rules","Notch effect"],"language":[{"iso":"eng"}],"publication":"Production Engineering and Management Proceedings 6th International Conference","publication_identifier":{"isbn":["978-3-946856-00-9"]},"date_created":"2019-01-22T14:07:32Z","date_updated":"2023-03-15T13:49:54Z","corporate_editor":["Department of Production Engineering and Management  OWL University of Applied Sciences, Lemgo (Germany)","Hochschule Ostwestfalen-Lippe"],"editor":[{"first_name":"Franz-Josef","full_name":"Villmer, Franz-Josef","id":"14290","last_name":"Villmer"},{"full_name":"Padoano, Elio","first_name":"Elio","last_name":"Padoano"}],"year":2016,"author":[{"first_name":"Eva","last_name":"Scheideler","id":"61522","full_name":"Scheideler, Eva"},{"full_name":"Villmer, Franz-Josef","first_name":"Franz-Josef","id":"14290","last_name":"Villmer"},{"last_name":"Adam","first_name":"G.","full_name":"Adam, G."},{"first_name":"Mirco","last_name":"Timmer","full_name":"Timmer, Mirco","id":"69228"}],"main_file_link":[{"open_access":"1","url":"https://www.th-owl.de/elsa/download/333/334/PEM_2016_Proceeding_2016_09_14_Inhaltsnavigation.pdf"}],"status":"public","page":"39-50","title":"Topology Optimization and Additive Manufacturing – A Perfect Symbiosis?"},{"user_id":"45673","type":"conference","_id":"594","place":"Lemgo","publication_status":"published","abstract":[{"text":"Due to steadily increased demand for customized products, as well as their enhanced complexity and shorter product lifecycles, companies in all industries require a reliable prediction of the expected product development costs from the very start of product realization. Incorrectly estimated project costs may lead to serious consequences in the course of a development project. For example, offers are most often based on such early cost estimations and consequently, a major safety margin has to be added, which may result in the refusal of an order. A too low estimation of the costs of aproduct development project, on the other hand, may result in a loss for the project.In this paper, a software tool is presented for the prediction of product development costs which offers the user the ability to create a more accurate prediction of project costs on the basis of a minimum of retrograde project information. By combining a parametric cost model and cost result with stochastic character, based on the Monte Carlo method, in one software system, it is possible to significantly improve projectcost estimations.","lang":"eng"}],"issue":"1","department":[{"_id":"DEP7000"},{"_id":"DEP1306"}],"conference":{"end_date":"2016-09-30","start_date":"2016-09-29","location":"Lemgo","name":"Proceedings 6th International Conference"},"corporate_editor":["Department of Production Engineering and Management","Hochschule Ostwestfalen-Lippe"],"editor":[{"first_name":"Franz-Josef","last_name":"Villmer","full_name":"Villmer, Franz-Josef"},{"full_name":"Padoano, Elio","last_name":"Padoano","first_name":"Elio"}],"date_updated":"2023-03-15T13:50:03Z","related_material":{"link":[{"relation":"contains","url":"https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2016_Proceeding_2016_09_14_Inhaltsnavigation.pdf"}]},"publication":"Department of Production Engineering and Management","publication_identifier":{"isbn":["978-3-946856-00-9"]},"date_created":"2019-02-18T15:41:41Z","keyword":["Cost prediction","Product realization projects","Monte Carlo method","Parametric cost model","Software tool"],"language":[{"iso":"eng"}],"oa":"1","citation":{"apa":"Otte, A., Scheideler, E., &#38; Villmer, F.-J. (2016). Project Cost Estimator - A Parameter-Based Tool to Predict Product Realization Costs at a Very Early Stage. In F.-J. Villmer, E. Padoano, &#38; Department of Production Engineering and Management (Eds.), <i>Department of Production Engineering and Management</i> (pp. 281–292). Lemgo.","chicago":"Otte, Andreas, Eva Scheideler, and Franz-Josef Villmer. “Project Cost Estimator - A Parameter-Based Tool to Predict Product Realization Costs at a Very Early Stage.” In <i>Department of Production Engineering and Management</i>, edited by Franz-Josef Villmer, Elio Padoano, and Department of Production Engineering and Management, 281–92. Lemgo, 2016.","van":"Otte A, Scheideler E, Villmer F-J. Project Cost Estimator - A Parameter-Based Tool to Predict Product Realization Costs at a Very Early Stage. In: Villmer F-J, Padoano E, Department of Production Engineering and Management, editors. Department of Production Engineering and Management. Lemgo; 2016. p. 281–92.","bjps":"<b>Otte A, Scheideler E and Villmer F-J</b> (2016) Project Cost Estimator - A Parameter-Based Tool to Predict Product Realization Costs at a Very Early Stage. In Villmer F-J, Padoano E and Department of Production Engineering and Management (eds), <i>Department of Production Engineering and Management</i>. Lemgo, pp. 281–292.","mla":"Otte, Andreas, et al. “Project Cost Estimator - A Parameter-Based Tool to Predict Product Realization Costs at a Very Early Stage.” <i>Department of Production Engineering and Management</i>, edited by Franz-Josef Villmer et al., no. 1, 2016, pp. 281–92.","havard":"A. Otte, E. Scheideler, F.-J. Villmer, Project Cost Estimator - A Parameter-Based Tool to Predict Product Realization Costs at a Very Early Stage, in: F.-J. Villmer, E. Padoano, Department of Production Engineering and Management (Eds.), Department of Production Engineering and Management, Lemgo, 2016: pp. 281–292.","ufg":"<b>Otte, Andreas et. al. (2016)</b>: Project Cost Estimator - A Parameter-Based Tool to Predict Product Realization Costs at a Very Early Stage, in: Franz-Josef Villmer et. al. (Hgg.): <i>Department of Production Engineering and Management</i>, Lemgo, S. 281–292.","short":"A. Otte, E. Scheideler, F.-J. Villmer, in: F.-J. Villmer, E. Padoano, Department of Production Engineering and Management (Eds.), Department of Production Engineering and Management, Lemgo, 2016, pp. 281–292.","chicago-de":"Otte, Andreas, Eva Scheideler und Franz-Josef Villmer. 2016. Project Cost Estimator - A Parameter-Based Tool to Predict Product Realization Costs at a Very Early Stage. In: <i>Department of Production Engineering and Management</i>, hg. von Franz-Josef Villmer, Elio Padoano, und Department of Production Engineering and Management, 281–292. Lemgo.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Otte, Andreas</span> ; <span style=\"font-variant:small-caps;\">Scheideler, Eva</span> ; <span style=\"font-variant:small-caps;\">Villmer, Franz-Josef</span>: Project Cost Estimator - A Parameter-Based Tool to Predict Product Realization Costs at a Very Early Stage. 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>Department of Production Engineering and Management</i>. Lemgo, 2016, S. 281–292","ieee":"A. Otte, E. Scheideler, and F.-J. Villmer, “Project Cost Estimator - A Parameter-Based Tool to Predict Product Realization Costs at a Very Early Stage,” in <i>Department of Production Engineering and Management</i>, Lemgo, 2016, no. 1, pp. 281–292.","ama":"Otte A, Scheideler E, Villmer F-J. Project Cost Estimator - A Parameter-Based Tool to Predict Product Realization Costs at a Very Early Stage. In: Villmer F-J, Padoano E, Department of Production Engineering and Management, eds. <i>Department of Production Engineering and Management</i>. Lemgo; 2016:281-292."},"title":"Project Cost Estimator - A Parameter-Based Tool to Predict Product Realization Costs at a Very Early Stage","status":"public","page":"281-292","year":2016,"author":[{"full_name":"Otte, Andreas","first_name":"Andreas","id":"51466","last_name":"Otte"},{"last_name":"Scheideler","first_name":"Eva","id":"61522","full_name":"Scheideler, Eva"},{"last_name":"Villmer","id":"14290","first_name":"Franz-Josef","full_name":"Villmer, Franz-Josef"}],"main_file_link":[{"url":"https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2016_Proceeding_2016_09_14_Inhaltsnavigation.pdf","open_access":"1"}]},{"citation":{"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.","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","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.","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).","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.","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.","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.","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.","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.","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.","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."},"volume":2016,"title":"Expert Knowledge Systems to Ensure Quality and Reliability in Direct Digital Manufacturing Enviroments","page":"269-280","status":"public","author":[{"full_name":"Scheideler, Eva","first_name":"Eva","last_name":"Scheideler","id":"61522"},{"last_name":"Ahlemeyer-Stubbe","first_name":"Andrea","full_name":"Ahlemeyer-Stubbe, Andrea"}],"year":"2016","main_file_link":[{"open_access":"1","url":"https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2016_Proceeding_2016_09_14_Inhaltsnavigation.pdf"}],"editor":[{"full_name":"Villmer, Franz-Josef","last_name":"Villmer","first_name":"Franz-Josef"},{"full_name":"Padoano, Elio","first_name":"Elio","last_name":"Padoano"}],"corporate_editor":["Department of Production Engineering and Management","Hochschule Ostwestfalen-Lippe"],"date_updated":"2024-03-22T13:18:42Z","related_material":{"link":[{"url":"https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2016_Proceeding_2016_09_14_Inhaltsnavigation.pdf","relation":"contains"}]},"date_created":"2019-01-29T13:06:45Z","publication_identifier":{"unknown":["978-3-946856-00-9"]},"publication":"Production engineering and management : proceedings 6th international conference, September 29 and 30, 2016 Lemgo, Germany ","language":[{"iso":"eng"}],"keyword":["Simulation","Metamodel","Computer experiment","Design of experiments"],"oa":"1","publication_status":"published","series_title":"\t Publication series in direct digital manufacturing ","publisher":"Hochschule Ostwestfalen-Lippe","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"}],"issue":"1","conference":{"end_date":"2016-09-30","start_date":"2016-09-29","name":"6th International Conference on Production Engineering and Management ","location":"Lemgo"},"department":[{"_id":"DEP1306"}],"intvolume":"      2016","user_id":"83781","type":"conference","_id":"472","place":"Lemgo"},{"publisher":"Hochschule Ostwestfalen-Lippe","abstract":[{"lang":"eng","text":"This paper is aimed to discuss current research using data mining techniques and industry statistics in production environments. The general research approach is based on the idea of using data mining processes and techniques of industry statistics to find rare and hidden patterns behind failures of complex components. A case study will be applied to illustrate how the technique is carried out and where the limits of this approach occur. The case study deals with a component supplier of printing machines, which received an increasing number of client complaints, all related to one distinct problem. The observed failures seem to occur only among clients with very high quality standards. The affected component undergoes a very complex production process with several steps in different departments. Every single production unit records data information from multiple process variables and at different points in time. In the beginning there was no understanding of the failure causes in production at all. Therefore a huge amount of production data had to be analyzed to find the pattern that discloses the failure.\r\nThe data mining process starts with a first step in which the given data sets are prepared and then cleaned. Followed up by building a prediction model. The aim is to detect the root causes for failures and to predict potential failures in affected components. This paper shows how to use data mining to get the answer on pressing production failures.\r\n"}],"issue":"1","department":[{"_id":"DEP7000"},{"_id":"DEP1306"}],"conference":{"name":"5th International Conference \"Production Engineering and Management\" ","location":"Trieste, Italy","end_date":"2015-10-02","start_date":"2015-10-01"},"publication_status":"published","_id":"597","place":"Lemgo","user_id":"83781","type":"conference","status":"public","page":"163-174","year":"2015","author":[{"last_name":"Scheideler","full_name":"Scheideler, Eva","id":"61522","first_name":"Eva"},{"full_name":"Ahlemeyer-Stubbe, Andrea","last_name":"Ahlemeyer-Stubbe","first_name":"Andrea"}],"main_file_link":[{"url":"https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_Tagung_zusammen2015.pdf","open_access":"1"}],"citation":{"ieee":"E. Scheideler and A. Ahlemeyer-Stubbe, “Data Mining: A Potential Detector to Find Failure in Complex Components,” in <i>Production engineering and management : proceedings, 5th international conference, October 1 and 2, 2015, Trieste, Italy</i>, Trieste, Italy, 2015, no. 1, pp. 163–174.","ama":"Scheideler E, Ahlemeyer-Stubbe A. Data Mining: A Potential Detector to Find Failure in Complex Components. In: Padoano E, Villmer FJ, Department of Production Engineering and Management, Hochschule Ostwestfalen-Lippe, eds. <i>Production Engineering and Management : Proceedings, 5th International Conference, October 1 and 2, 2015, Trieste, Italy</i>. Hochschule Ostwestfalen-Lippe; 2015:163-174.","short":"E. Scheideler, A. Ahlemeyer-Stubbe, in: E. Padoano, F.-J. Villmer, Department of Production Engineering and Management, Hochschule Ostwestfalen-Lippe (Eds.), Production Engineering and Management : Proceedings, 5th International Conference, October 1 and 2, 2015, Trieste, Italy, Hochschule Ostwestfalen-Lippe, Lemgo, 2015, pp. 163–174.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Scheideler, Eva</span> ; <span style=\"font-variant:small-caps;\">Ahlemeyer-Stubbe, Andrea</span>: Data Mining: A Potential Detector to Find Failure in Complex Components. In: <span style=\"font-variant:small-caps;\">Padoano, E.</span> ; <span style=\"font-variant:small-caps;\">Villmer, F.-J.</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, 5th international conference, October 1 and 2, 2015, Trieste, Italy</i>. Lemgo : Hochschule Ostwestfalen-Lippe, 2015, S. 163–174","chicago-de":"Scheideler, Eva und Andrea Ahlemeyer-Stubbe. 2015. Data Mining: A Potential Detector to Find Failure in Complex Components. In: <i>Production engineering and management : proceedings, 5th international conference, October 1 and 2, 2015, Trieste, Italy</i>, hg. von Elio Padoano, Franz-Josef Villmer, Department of Production Engineering and Management, und Hochschule Ostwestfalen-Lippe, 163–174. Lemgo: Hochschule Ostwestfalen-Lippe.","apa":"Scheideler, E., &#38; Ahlemeyer-Stubbe, A. (2015). Data Mining: A Potential Detector to Find Failure in Complex Components. In E. Padoano, F.-J. Villmer, Department of Production Engineering and Management, &#38; Hochschule Ostwestfalen-Lippe (Eds.), <i>Production engineering and management : proceedings, 5th international conference, October 1 and 2, 2015, Trieste, Italy</i> (Issue 1, pp. 163–174). Hochschule Ostwestfalen-Lippe.","chicago":"Scheideler, Eva, and Andrea Ahlemeyer-Stubbe. “Data Mining: A Potential Detector to Find Failure in Complex Components.” In <i>Production Engineering and Management : Proceedings, 5th International Conference, October 1 and 2, 2015, Trieste, Italy</i>, edited by Elio Padoano, Franz-Josef Villmer, Department of Production Engineering and Management, and Hochschule Ostwestfalen-Lippe, 163–74. Lemgo: Hochschule Ostwestfalen-Lippe, 2015.","van":"Scheideler E, Ahlemeyer-Stubbe A. Data Mining: A Potential Detector to Find Failure in Complex Components. In: Padoano E, Villmer FJ, Department of Production Engineering and Management, Hochschule Ostwestfalen-Lippe, editors. Production engineering and management : proceedings, 5th international conference, October 1 and 2, 2015, Trieste, Italy. Lemgo: Hochschule Ostwestfalen-Lippe; 2015. p. 163–74.","ufg":"<b>Scheideler, Eva/Ahlemeyer-Stubbe, Andrea</b>: Data Mining: A Potential Detector to Find Failure in Complex Components, in: <i>Padoano, Elio u. a. (Hgg.)</i>: Production engineering and management : proceedings, 5th international conference, October 1 and 2, 2015, Trieste, Italy, Lemgo 2015,  S. 163–174.","bjps":"<b>Scheideler E and Ahlemeyer-Stubbe A</b> (2015) Data Mining: A Potential Detector to Find Failure in Complex Components. In Padoano E et al. (eds), <i>Production Engineering and Management : Proceedings, 5th International Conference, October 1 and 2, 2015, Trieste, Italy</i>. Lemgo: Hochschule Ostwestfalen-Lippe, pp. 163–174.","mla":"Scheideler, Eva, and Andrea Ahlemeyer-Stubbe. “Data Mining: A Potential Detector to Find Failure in Complex Components.” <i>Production Engineering and Management : Proceedings, 5th International Conference, October 1 and 2, 2015, Trieste, Italy</i>, edited by Elio Padoano et al., no. 1, Hochschule Ostwestfalen-Lippe, 2015, pp. 163–74.","havard":"E. Scheideler, A. Ahlemeyer-Stubbe, Data Mining: A Potential Detector to Find Failure in Complex Components, in: E. Padoano, F.-J. Villmer, Department of Production Engineering and Management, Hochschule Ostwestfalen-Lippe (Eds.), Production Engineering and Management : Proceedings, 5th International Conference, October 1 and 2, 2015, Trieste, Italy, Hochschule Ostwestfalen-Lippe, Lemgo, 2015: pp. 163–174."},"title":"Data Mining: A Potential Detector to Find Failure in Complex Components","keyword":["Data mining","production failure","multi-variant analysis","multivariate process control","predictive modelling","case study"],"language":[{"iso":"eng"}],"oa":"1","corporate_editor":["Department of Production Engineering and Management","Hochschule Ostwestfalen-Lippe"],"editor":[{"first_name":"Elio","last_name":"Padoano","full_name":"Padoano, Elio"},{"first_name":"Franz-Josef","full_name":"Villmer, Franz-Josef","last_name":"Villmer","id":"14290"}],"date_updated":"2024-03-22T13:12:47Z","related_material":{"link":[{"relation":"contains","url":"https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_Tagung_zusammen2015.pdf"}]},"publication":"Production engineering and management : proceedings, 5th international conference, October 1 and 2, 2015, Trieste, Italy","publication_identifier":{"isbn":["978-3-941645-11-0"]},"date_created":"2019-02-19T07:15:57Z"}]