Impacted
发表于 2025-3-21 16:42:03
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jocular
发表于 2025-3-21 20:29:05
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少量
发表于 2025-3-22 03:58:55
Karina Kohl,Rafael Prikladnickis optimization and informed decision-making. Although several machine learning methods have been employed to forecast KPIs, their real-time predictive capabilities remain underutilized. This paper presents a novel framework for real-time monitoring and prediction of manufacturing system KPIs, focusi
Foreknowledge
发表于 2025-3-22 05:12:17
Breaking the Glass Floor for Women in Tech revenue globally. Blockchain technology (BT) can digitize the tracking of physical assets from production to delivery or until customer. It provides greater product history and transparency. This creates a decentralized and immutable record of all transactions, which provides more visibility to bot
Thyroiditis
发表于 2025-3-22 09:18:23
James Tizard,Tim Rietz,Kelly Blincoeerent approaches that have been developed in order to overcome this issue, some limits are still present. It is in this context that a new AM process selection approach is presented. The originality resides in the fact of basing the proposed approach on fuzzy ontologies which automates the decision
Barrister
发表于 2025-3-22 14:13:08
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liaison
发表于 2025-3-22 19:28:25
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有斑点
发表于 2025-3-23 00:34:44
Erfolgreich auf Online-Marktplätzenult problems in this area. In fact, this problem is a generalized and more complicated variant of the classical job-shop that introduces an additional decision level known as the assignment sub-problem in addition to the sequencing sub-problem. In this paper, we study the flexible job-shop schedulin
Regurgitation
发表于 2025-3-23 05:19:22
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针叶树
发表于 2025-3-23 08:33:32
https://doi.org/10.1007/978-3-658-46154-6ent on expert domain expertise. In this manner, decision-making performance cannot be assured, nor can the dynamic scheduling demand in the job-shop production environment be met. Therefore, Dynamic Job Shop Scheduling Problems (DJSSPs) have received increased interest from researchers in recent dec