Machine Learning Based Throughput Prediction for Serial Production Lines

The dataset was generated to represent SPL consisting of machines and intermediate buffers where machines have a transtion probability matrix and simulated from and buffers are defined by scalar value. Files above contains the generated data, simulated data, explored data where feature engineering as done results and the results after using ML to build ML models. Files ontain these ML models in the pickle file format Results of perfomance metrics are saved in the csv file format . Files containg plots

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-12
DOI
https://doi.org/10.5281/zenodo.17913073
Primary Topic
Advanced Queuing Theory Analysis
Type
article
Field-Weighted Citation Impact
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article

Machine Learning Based Throughput Prediction for Serial Production Lines

Zenodo (CERN European Organization for Nuclear Research)
Advanced Queuing Theory Analysis
article

Machine Learning Based Throughput Prediction for Serial Production Lines

article en

Abstract

The dataset was generated to represent SPL consisting of machines and intermediate buffers where machines have a transtion probability matrix and simulated from and buffers are defined by scalar value. Files above contains the generated data, simulated data, explored data where feature engineering as done results and the results after using ML to build ML models. Files ontain these ML models in the pickle file format Results of perfomance metrics are saved in the csv file format . Files containg plots

Zenodo (CERN European Organization for Nuclear Research)
An-Najah National University (PS)
Openalex Percentile: Top 27%
Advanced Queuing Theory Analysis
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Machine Learning Based Throughput Prediction for Serial Production Lines · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS