[{"_id":"9356","oa":"1","publication":"Procedia Computer Science","main_file_link":[{"open_access":"1","url":"https://www.sciencedirect.com/science/article/pii/S1877050922002277"}],"title":"An ERP Data Quality Assessment Framework for the Implementation of an APS system using Bayesian Networks","intvolume":"       200","author":[{"last_name":"Herrmann","id":"75846","full_name":"Herrmann, Jan-Phillip","first_name":"Jan-Phillip"},{"id":"71470","last_name":"Tackenberg","full_name":"Tackenberg, Sven","first_name":"Sven"},{"first_name":"Elio","last_name":"Padoano","full_name":"Padoano, Elio"},{"first_name":"Jörg","last_name":"Hartlief","full_name":"Hartlief, Jörg"},{"last_name":" Rautenstengel","full_name":" Rautenstengel, Jens","first_name":"Jens"},{"first_name":"Christine","last_name":"Loeser","full_name":"Loeser, Christine"},{"first_name":"Jörg ","full_name":"Böhme, Jörg ","last_name":"Böhme"}],"publication_identifier":{"issn":["1877-0509 "]},"citation":{"havard":"J.-P. Herrmann, S. Tackenberg, E. Padoano, J. Hartlief, J.  Rautenstengel, C. Loeser, J. Böhme, An ERP Data Quality Assessment Framework for the Implementation of an APS system using Bayesian Networks, Procedia Computer Science. 200 (2022) 194–204.","short":"J.-P. Herrmann, S. Tackenberg, E. Padoano, J. Hartlief, J.  Rautenstengel, C. Loeser, J. Böhme, Procedia Computer Science 200 (2022) 194–204.","mla":"Herrmann, Jan-Phillip, et al. “An ERP Data Quality Assessment Framework for the Implementation of an APS System Using Bayesian Networks.” <i>Procedia Computer Science</i>, vol. 200, 2022, pp. 194–204, <a href=\"https://doi.org/10.1016/j.procs.2022.01.218\">https://doi.org/10.1016/j.procs.2022.01.218</a>.","apa":"Herrmann, J.-P., Tackenberg, S., Padoano, E., Hartlief, J.,  Rautenstengel, J., Loeser, C., &#38; Böhme, J. (2022). An ERP Data Quality Assessment Framework for the Implementation of an APS system using Bayesian Networks. <i>Procedia Computer Science</i>, <i>200</i>, 194–204. <a href=\"https://doi.org/10.1016/j.procs.2022.01.218\">https://doi.org/10.1016/j.procs.2022.01.218</a>","ufg":"<b>Herrmann, Jan-Phillip u. a.</b>: An ERP Data Quality Assessment Framework for the Implementation of an APS system using Bayesian Networks, in: <i>Procedia Computer Science</i> 200 (2022),  S. 194–204.","chicago-de":"Herrmann, Jan-Phillip, Sven Tackenberg, Elio Padoano, Jörg Hartlief, Jens  Rautenstengel, Christine Loeser und Jörg  Böhme. 2022. An ERP Data Quality Assessment Framework for the Implementation of an APS system using Bayesian Networks. <i>Procedia Computer Science</i> 200: 194–204. doi:<a href=\"https://doi.org/10.1016/j.procs.2022.01.218\">https://doi.org/10.1016/j.procs.2022.01.218</a>, .","ieee":"J.-P. Herrmann <i>et al.</i>, “An ERP Data Quality Assessment Framework for the Implementation of an APS system using Bayesian Networks,” <i>Procedia Computer Science</i>, vol. 200, pp. 194–204, 2022, doi: <a href=\"https://doi.org/10.1016/j.procs.2022.01.218\">https://doi.org/10.1016/j.procs.2022.01.218</a>.","van":"Herrmann JP, Tackenberg S, Padoano E, Hartlief J,  Rautenstengel J, Loeser C, et al. An ERP Data Quality Assessment Framework for the Implementation of an APS system using Bayesian Networks. Procedia Computer Science. 2022;200:194–204.","ama":"Herrmann JP, Tackenberg S, Padoano E, et al. An ERP Data Quality Assessment Framework for the Implementation of an APS system using Bayesian Networks. <i>Procedia Computer Science</i>. 2022;200:194-204. doi:<a href=\"https://doi.org/10.1016/j.procs.2022.01.218\">https://doi.org/10.1016/j.procs.2022.01.218</a>","bjps":"<b>Herrmann J-P <i>et al.</i></b> (2022) An ERP Data Quality Assessment Framework for the Implementation of an APS System Using Bayesian Networks. <i>Procedia Computer Science</i> <b>200</b>, 194–204.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Herrmann, Jan-Phillip</span> ; <span style=\"font-variant:small-caps;\">Tackenberg, Sven</span> ; <span style=\"font-variant:small-caps;\">Padoano, Elio</span> ; <span style=\"font-variant:small-caps;\">Hartlief, Jörg</span> ; <span style=\"font-variant:small-caps;\"> Rautenstengel, Jens</span> ; <span style=\"font-variant:small-caps;\">Loeser, Christine</span> ; <span style=\"font-variant:small-caps;\">Böhme, Jörg </span>: An ERP Data Quality Assessment Framework for the Implementation of an APS system using Bayesian Networks. In: <i>Procedia Computer Science</i> Bd. 200, Elsevier (2022), S. 194–204","chicago":"Herrmann, Jan-Phillip, Sven Tackenberg, Elio Padoano, Jörg Hartlief, Jens  Rautenstengel, Christine Loeser, and Jörg  Böhme. “An ERP Data Quality Assessment Framework for the Implementation of an APS System Using Bayesian Networks.” <i>Procedia Computer Science</i> 200 (2022): 194–204. <a href=\"https://doi.org/10.1016/j.procs.2022.01.218\">https://doi.org/10.1016/j.procs.2022.01.218</a>."},"publication_status":"published","volume":200,"language":[{"iso":"eng"}],"date_created":"2023-01-25T12:00:32Z","keyword":["Data Quality Assessment","Advanced Planning","Scheduling","Bayesian Network","Enterprise Resource Planning"],"abstract":[{"lang":"eng","text":"In today’s manufacturing industry, enterprise-resource-planning (ERP) systems reach their limit when planning and scheduling production subject to multiple objectives and constraints. Advanced planning and scheduling (APS) systems provide these capabilities and are an extension for ERP systems. However, when integrating an APS and ERP system, the ERP data frequently lacks quality, hindering the APS system from working as required. This paper introduces a data quality (DQ) assessment framework that employs a Bayesian Network (BN) to perform quick DQ assessments based on expert interviews and DQ measurements with actual ERP data. We explain the BN’s functionality, design, and validation and show how using the perceived DQ of experts and a semi-supervised learning algorithm improves the BN’s predictions over time. We discuss applying our framework in an APS system implementation project involving an APS system provider and a medium-sized manufacturer of hydraulic cylinders. Despite considering the DQ assessment framework in such a specific context, it is not restricted to a particular domain. We close by discussing the framework’s limits, particularly the BN as a DQ assessment methodology and future works to improve its performance."}],"page":"194-204","year":"2022","user_id":"83781","department":[{"_id":"DEP7020"}],"status":"public","date_updated":"2024-08-06T11:45:41Z","doi":"https://doi.org/10.1016/j.procs.2022.01.218","quality_controlled":"1","type":"journal_article","publisher":"Elsevier"},{"keyword":["High gloss","surface measurement","topographic features","quality assessment"],"conference":{"location":"Trieste, Italy","end_date":"2015-10-02","start_date":"2015-10-01","name":"Proceedings5th International Conference"},"page":"99-110","abstract":[{"lang":"eng","text":"While common measurement techniques like gloss or color measurement are widely used in industry for quality assessment of furniture high gloss surfaces, they indicate only a weak correlation to the quality perceived by the customer. Topography based approaches achieve higher correlation to human perception but are often based on linear measurement which cannot be applied for an overall assessment of larger surfaces. Thus an algorithm was developed to calculate a specific value based on topographic features, such as orange peel, within the research project ‘Development of a comprehensive quality concept for furniture high gloss surfaces’, funded by the federal Ministry of Education and Research. For the evaluation of short waved structures on furniture high gloss surfaces the ratio of hill height to hill area was chosen. This parameter proves to be applicable for an evaluation of the extent of a single.\r\n"}],"corporate_editor":["Department of Production Engineering and Management","Hochschule Ostwestfalen-Lippe"],"department":[{"_id":"DEP1306"}],"user_id":"45673","year":2015,"status":"public","related_material":{"link":[{"relation":"contains","url":"https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_Tagung_zusammen2015.pdf"}]},"issue":"1","date_updated":"2023-03-15T13:50:02Z","type":"conference","editor":[{"first_name":"Elio","full_name":"Padoano, Elio","last_name":"Padoano"},{"last_name":"Villmer","full_name":"Villmer, Franz-Josef","first_name":"Franz-Josef"}],"oa":"1","_id":"588","publication":"Production Engineering and Management","title":"Development of an Algorithm for Measuring the Quality of High Gloss Surfaces Correlated to Human Perception","main_file_link":[{"url":"https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_Tagung_zusammen2015.pdf","open_access":"1"}],"publication_identifier":{"isbn":["978-3-941645-11-0"]},"author":[{"first_name":"Andrea","id":"43559","last_name":"Huxol","full_name":"Huxol, Andrea"},{"first_name":"Adrian","full_name":"Riegel, Adrian","id":"14647","last_name":"Riegel"},{"full_name":"Dekomien, Kerstin","id":"59843","last_name":"Dekomien","first_name":"Kerstin"}],"publication_status":"published","language":[{"iso":"eng"}],"date_created":"2019-02-18T15:13:34Z","citation":{"ama":"Huxol A, Riegel A, Dekomien K. Development of an Algorithm for Measuring the Quality of High Gloss Surfaces Correlated to Human Perception. In: Padoano E, Villmer F-J, Department of Production Engineering and Management, eds. <i>Production Engineering and Management</i>. Lemgo; 2015:99-110.","van":"Huxol A, Riegel A, Dekomien K. Development of an Algorithm for Measuring the Quality of High Gloss Surfaces Correlated to Human Perception. In: Padoano E, Villmer F-J, Department of Production Engineering and Management, editors. Production Engineering and Management. Lemgo; 2015. p. 99–110.","ieee":"A. Huxol, A. Riegel, and K. Dekomien, “Development of an Algorithm for Measuring the Quality of High Gloss Surfaces Correlated to Human Perception,” in <i>Production Engineering and Management</i>, Trieste, Italy, 2015, no. 1, pp. 99–110.","chicago":"Huxol, Andrea, Adrian Riegel, and Kerstin Dekomien. “Development of an Algorithm for Measuring the Quality of High Gloss Surfaces Correlated to Human Perception.” In <i>Production Engineering and Management</i>, edited by Elio Padoano, Franz-Josef Villmer, and Department of Production Engineering and Management, 99–110. Lemgo, 2015.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Huxol, Andrea</span> ; <span style=\"font-variant:small-caps;\">Riegel, Adrian</span> ; <span style=\"font-variant:small-caps;\">Dekomien, Kerstin</span>: Development of an Algorithm for Measuring the Quality of High Gloss Surfaces Correlated to Human Perception. 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, 2015, S. 99–110","bjps":"<b>Huxol A, Riegel A and Dekomien K</b> (2015) Development of an Algorithm for Measuring the Quality of High Gloss Surfaces Correlated to Human Perception. In Padoano E, Villmer F-J and Department of Production Engineering and Management (eds), <i>Production Engineering and Management</i>. Lemgo, pp. 99–110.","havard":"A. Huxol, A. Riegel, K. Dekomien, Development of an Algorithm for Measuring the Quality of High Gloss Surfaces Correlated to Human Perception, in: E. Padoano, F.-J. Villmer, Department of Production Engineering and Management (Eds.), Production Engineering and Management, Lemgo, 2015: pp. 99–110.","chicago-de":"Huxol, Andrea, Adrian Riegel und Kerstin Dekomien. 2015. Development of an Algorithm for Measuring the Quality of High Gloss Surfaces Correlated to Human Perception. In: <i>Production Engineering and Management</i>, hg. von Elio Padoano, Franz-Josef Villmer, und Department of Production Engineering and Management, 99–110. Lemgo.","ufg":"<b>Huxol, Andrea et. al. (2015)</b>: Development of an Algorithm for Measuring the Quality of High Gloss Surfaces Correlated to Human Perception, in: Elio Padoano et. al. (Hgg.): <i>Production Engineering and Management</i>, Lemgo, S. 99–110.","apa":"Huxol, A., Riegel, A., &#38; Dekomien, K. (2015). Development of an Algorithm for Measuring the Quality of High Gloss Surfaces Correlated to Human Perception. In E. Padoano, F.-J. Villmer, &#38; Department of Production Engineering and Management (Eds.), <i>Production Engineering and Management</i> (pp. 99–110). Lemgo.","mla":"Huxol, Andrea, et al. “Development of an Algorithm for Measuring the Quality of High Gloss Surfaces Correlated to Human Perception.” <i>Production Engineering and Management</i>, edited by Elio Padoano et al., no. 1, 2015, pp. 99–110.","short":"A. Huxol, A. Riegel, K. Dekomien, in: E. Padoano, F.-J. Villmer, Department of Production Engineering and Management (Eds.), Production Engineering and Management, Lemgo, 2015, pp. 99–110."},"place":"Lemgo"}]