MIRE 发表于 2025-3-23 12:08:10

,Publication I: Approaches for the Prediction of Lead Times in an Engineer to Order Environment—a Syts with typically a large number of individual parts and complex production processes. A multitude of approaches have been proposed in the literature for predicting lead times considering different data and methods or algorithms from operations research (OR) and machine learning (ML). In order to pr

热情的我 发表于 2025-3-23 14:05:27

http://reply.papertrans.cn/63/6208/620747/620747_12.png

effrontery 发表于 2025-3-23 21:38:34

http://reply.papertrans.cn/63/6208/620747/620747_13.png

assail 发表于 2025-3-23 22:56:09

Critical Refection and Future Perspective,tematic literature review in thesis I to get a comprehensive overview of ML and OR approaches for lead time prediction, ML models for the prediction of missing parts at the start of assembly from in-house production and component procurement are presented in theses II—IV. However, the results within

禁令 发表于 2025-3-24 03:37:06

http://reply.papertrans.cn/63/6208/620747/620747_15.png

SLAY 发表于 2025-3-24 08:15:14

Fabian Steinbergy may be quite variable. Species have different habitat preferences that further accentuate spatial and temporal heterogeneity. Zooplankton are major herbivores as well as important predators in aquatic ecosystems. Therefore, to understand lake metabolism it is necessary to evaluate the biomass and

delegate 发表于 2025-3-24 13:53:50

http://reply.papertrans.cn/63/6208/620747/620747_17.png

刚开始 发表于 2025-3-24 18:23:34

Fabian Steinbergr the synthesis of scientific data, and (2) to support effective management of water resources by providing reliable predictive frameworks. These research and management purposes are mutually consistent on a long-term basis, as research advancements have led to improved capabilities and credibility

心胸开阔 发表于 2025-3-24 20:26:42

http://reply.papertrans.cn/63/6208/620747/620747_19.png

HAUNT 发表于 2025-3-24 23:42:40

http://reply.papertrans.cn/63/6208/620747/620747_20.png
页: 1 [2] 3 4
查看完整版本: Titlebook: Machine Learning-based Prediction of Missing Parts for Assembly; Fabian Steinberg Book 2024 The Editor(s) (if applicable) and The Author(s