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A data-driven algorithm to predict throughput bottlenecks in a production system based on active periods of the machines
9 references·7 citing·48 second hop
A data-driven algorithm to predict throughput bottlenecks in a production system based on active periods of the machines (2018)A data-driven algorithm to predict throug…Automatic time series forecasting: the forecast package for R (2017)Automatic time series forecas…Introduction to Time Series and Forecasting (2016)Introduction to Time Series a…Stock Price Prediction Using the ARIMA Model (2014)Stock Price Prediction Using …Stock index forecasting based on a hybrid model (2011)Stock index forecasting based…Throughput analysis of production systems: recent advances and future topics (2008)Throughput analysis of produc…Data driven bottleneck detection of manufacturing systems (2008)Data driven bottleneck detect…Automatic Time Series Forecasting: The forecast Package for R (2008)Automatic Time Series Forecas…Equipment Effectiveness: OEE Revisited (2005)Equipment Effectiveness: OEE …Introduction to Time Series and Forecasting (2002)Introduction to Time Series a…Realising the promises of artificial intelligence in manufacturing by enhancing CRISP-DM (2023)Realising the promises of art…The impact of Industry 4.0 on bottleneck analysis in production and manufacturing: Current trends and future perspectives (2022)The impact of Industry 4.0 on…Unlocking causal relations of barriers to big data analytics in manufacturing firms (2021)Unlocking causal relations of…Data-driven dynamic bottleneck detection in complex manufacturing systems (2021)Data-driven dynamic bottlenec…Artificial intelligence for throughput bottleneck analysis – State-of-the-art and future directions (2021)Artificial intelligence for t…Process Mining for Six Sigma: Utilising Digital Traces (2020)Process Mining for Six Sigma:…Performance analysis and time prediction in manufacturing systems (2020)Performance analysis and time…International Journal of Production Research (1962)Manufacturing flow line systems: a review of models and analytical results (1992)Manufacturing systems engineering (1993)Split and merge production systems: performance analysis and structural properties (2010)Design and management of manufacturing systems for production quality (2014)A Hierarchical structure of key performance indicators for operation management and continuous improvement in production systems (2016)An Efficient Decomposition Method for the Approximate Evaluation of Tandem Queues with Finite Storage Space and Blocking (1987)PROCEEDINGS OF THE 1997 WINTER SIMULATION CONFERENCE (1997)Real time production improvement through bottleneck control (2008)Analyzing environmental sustainability methods for use earlier in the product lifecycle (2018)A data-driven prediction approach for sports team performance and its application to National Basketball Association (2019)Time Series Analysis Forecasting and Control. 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this work references cited by second hop

References

  • 2002Introduction to Time Series and Forecasting3,913 cited
  • 2008Automatic Time Series Forecasting: The forecast Package for R3,538 cited
  • 2016Introduction to Time Series and Forecasting1,190 cited
  • 2014Stock Price Prediction Using the ARIMA Model1,153 cited
  • 2017Automatic time series forecasting: the forecast package for R978 cited
  • 2011Stock index forecasting based on a hybrid model377 cited
  • 2008Throughput analysis of production systems: recent advances and future topics346 cited
  • 2008Data driven bottleneck detection of manufacturing systems185 cited
  • 2005Equipment Effectiveness: OEE Revisited118 cited

Cited by

  • 2021Artificial intelligence for throughput bottleneck analysis – State-of-the-art and future directions71 cited
  • 2021Data-driven dynamic bottleneck detection in complex manufacturing systems65 cited
  • 2022The impact of Industry 4.0 on bottleneck analysis in production and manufacturing: Current trends and future perspectives63 cited
  • 2021Unlocking causal relations of barriers to big data analytics in manufacturing firms52 cited
  • 2023Realising the promises of artificial intelligence in manufacturing by enhancing CRISP-DM49 cited
  • 2020

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

Process Mining for Six Sigma: Utilising Digital Traces
43 cited
  • 2020Performance analysis and time prediction in manufacturing systems36 cited