{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T02:49:25Z","timestamp":1769914165788,"version":"3.49.0"},"reference-count":61,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3075620","type":"journal-article","created":{"date-parts":[[2021,4,26]],"date-time":"2021-04-26T21:20:44Z","timestamp":1619472044000},"page":"105926-105938","source":"Crossref","is-referenced-by-count":16,"title":["Machine Learning-Based Prediction of Missing Components for Assembly \u2013 a Case Study at an Engineer-to-Order Manufacturer"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9018-9959","authenticated-orcid":false,"given":"Peter","family":"Burggraf","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3226-2457","authenticated-orcid":false,"given":"Johannes","family":"Wagner","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2552-2855","authenticated-orcid":false,"given":"Benjamin","family":"Heinbach","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9842-5343","authenticated-orcid":false,"given":"Fabian","family":"Steinberg","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.5120\/ijca2017913083"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/S1532-0464(03)00034-0"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/0272-6963(93)90002-7"},{"key":"ref32","author":"yin","year":"2017","journal-title":"Case study research and applications Design and methods"},{"key":"ref31","first-page":"34","article-title":"Sumulation projects: Building the right conceptual model project’s objectives: The key to simulation modeling is to use the minimum amount of detail required to achieve the","volume":"26","author":"robinson","year":"1994","journal-title":"Ind Eng -Norcross"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1057\/palgrave.jors.2602368"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/SNLP.2009.5340935"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CONFLUENCE.2019.8776892"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.procir.2018.03.148"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2013.787168"},{"key":"ref60","first-page":"15","article-title":"Assembly disruptions. Empirical evidence in the manufacturing industry of Germany, Austria and Switzerland","volume":"6","author":"wagner","year":"2017","journal-title":"International Refereed Journal of Engineering and Science"},{"key":"ref61","first-page":"53","article-title":"Supply-chain breakdown","volume":"46","author":"chopra","year":"2004","journal-title":"MIT Sloan Manage Rev"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1080\/0013791X.2016.1185808"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2018.08.472"},{"key":"ref29","first-page":"16","article-title":"Simulation-models level of detail determines effectiveness","volume":"23","author":"law","year":"1991","journal-title":"Ind Eng"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/0925-5273(94)90173-2"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s11740-017-0735-6"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/0377-2217(89)90100-8"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2007.01.026"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2005.03.015"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3010050"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-017-1325-3"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCIE.2009.5223807"},{"key":"ref25","first-page":"308","article-title":"Predicting order lead times","volume":"54","author":"berlec","year":"2008","journal-title":"J Mech Eng"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-7012(00)00201-3"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143874"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1177\/1833358318774357"},{"key":"ref58","author":"zheng","year":"2018","journal-title":"Feature Engineering for Machine Learning Principles and Techniques for Data Scientists"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1126\/science.aaa8415"},{"key":"ref56","first-page":"485","article-title":"The effects of data quality on machine learning algorithms","volume":"6","author":"sessions","year":"2006","journal-title":"Proc ICI"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbusres.2015.03.026"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/0005-2795(75)90109-9"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1186\/s12864-019-6413-7"},{"key":"ref52","first-page":"37","article-title":"Evaluation: From precision, recall and F-measure to ROC, informedness, markedness and correlation","volume":"2","author":"powers","year":"2020","journal-title":"J Mach Learn Technol"},{"key":"ref10","author":"beck","year":"2013","journal-title":"Modellgestütztes Logistikcontrolling Konvergierender Materialflüsse"},{"key":"ref11","author":"schmidt","year":"2010","journal-title":"Modellierung Logistischer Prozesse in der Montage"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-13-5850-0"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-57743-7"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-92839-3"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.cirp.2019.03.008"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1002\/9780470451793"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1023\/A:1022235519958"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICAICT.2014.7035950"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICIMP1.2018.8325846"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/S0377-2217(02)00173-X"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1080\/0953728042000238809"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1111\/poms.12682"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-6393-8"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.indmarman.2005.05.010"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-24458-2"},{"key":"ref7","author":"whitney","year":"2004","journal-title":"Mechanical Assemblies Their Design Manufacture and Role in Product Development"},{"key":"ref49","first-page":"1","article-title":"Improved neural network performance using principal component analysis on MATLAB","volume":"16","author":"mohamad-saleh","year":"2008","journal-title":"Int J Comput Internet Manage"},{"key":"ref9","author":"hopp","year":"2011","journal-title":"Factory Physics"},{"key":"ref46","author":"dong","year":"2018","journal-title":"Feature Engineering for Machine Learning and Data Analytics"},{"key":"ref45","author":"kuhn","year":"2016","journal-title":"Applied Predictive Modeling"},{"key":"ref48","first-page":"69","article-title":"A guide to appropriate use of correlation coefficient in medical research","volume":"24","author":"mukaka","year":"2012","journal-title":"Malawi Medical Journal The Journal of Medical Association of Malawi"},{"key":"ref47","author":"hinkle","year":"2003","journal-title":"Applied statistics for the behavioral sciences"},{"key":"ref42","first-page":"37","article-title":"From data mining to knowledge discovery in databases","volume":"17","author":"fayyad","year":"1999","journal-title":"AI Mag"},{"key":"ref41","article-title":"Deep learning using rectified linear units (ReLU)","author":"agarap","year":"2018","journal-title":"arXiv 1803 08375"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2976199"},{"key":"ref43","author":"han","year":"2012","journal-title":"Data Mining Concepts and Techniques"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09416418.pdf?arnumber=9416418","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:55:48Z","timestamp":1639770948000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9416418\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":61,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3075620","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}