果园
发表于 2025-3-21 20:05:37
书目名称Machine Learning-based Prediction of Missing Parts for Assembly影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0620747<br><br> <br><br>书目名称Machine Learning-based Prediction of Missing Parts for Assembly影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0620747<br><br> <br><br>书目名称Machine Learning-based Prediction of Missing Parts for Assembly网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0620747<br><br> <br><br>书目名称Machine Learning-based Prediction of Missing Parts for Assembly网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0620747<br><br> <br><br>书目名称Machine Learning-based Prediction of Missing Parts for Assembly被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0620747<br><br> <br><br>书目名称Machine Learning-based Prediction of Missing Parts for Assembly被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0620747<br><br> <br><br>书目名称Machine Learning-based Prediction of Missing Parts for Assembly年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0620747<br><br> <br><br>书目名称Machine Learning-based Prediction of Missing Parts for Assembly年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0620747<br><br> <br><br>书目名称Machine Learning-based Prediction of Missing Parts for Assembly读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0620747<br><br> <br><br>书目名称Machine Learning-based Prediction of Missing Parts for Assembly读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0620747<br><br> <br><br>
共同确定为确
发表于 2025-3-21 21:59:36
,Publication IV: Predicting Supplier Delays Utilizing Machine Learning—a Case Study in German ManufaA specific area that needs further attention is the prediction of late deliveries by suppliers. Recent approaches showed promising results but remained limited in their use of classification algorithms and struggled with the curse of dimensionality, making them less applicable to low-volume-high-variety production settings.
Gum-Disease
发表于 2025-3-22 04:12:12
https://doi.org/10.1007/978-3-658-45033-5Machine Learning; Production Planning and Control; Assembly; Prediction methods; Supervised Learning; Lea
aerobic
发表于 2025-3-22 04:41:29
978-3-658-45032-8The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Fachmedien Wies
conscience
发表于 2025-3-22 09:16:25
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NOCT
发表于 2025-3-22 14:51:43
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Detonate
发表于 2025-3-22 18:33:14
,Publication II: Impact of Material Data in Assembly Delay Prediction—a Machine Learning-based Case Designing customized products for customer needs is a key characteristic of machine and plant manufacturers. Their manufacturing process typically consists of a design phase followed by planning and executing a production process of components required in the subsequent assembly. Production delays can lead to a delayed start of the assembly.
胶状
发表于 2025-3-23 00:59:43
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Inflamed
发表于 2025-3-23 04:03:07
Introduction,racteristic is particularly noticeable in the products of machinery manufacturers, whose products typically consist of a large number of components designed to meet specific customer requirements to provide a customized solution for each customer. . In the globalized and internationalized proc
娘娘腔
发表于 2025-3-23 07:08:16
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