All Stories

  1. Seizing opportunity: Advancing the science and practice of opportunistic maintenance in manufacturing
  2. Integrating Machine and Quality Data for Predictive Maintenance in Manufacturing System
  3. Artificial intelligence for throughput bottleneck analysis – State-of-the-art and future directions
  4. An Enhanced Data-Driven Algorithm for Shifting Bottleneck Detection
  5. A data-driven approach to diagnosing throughput bottlenecks from a maintenance perspective
  6. Data-driven machine criticality assessment – maintenance decision support for increased productivity
  7. A generic hierarchical clustering approach for detecting bottlenecks in manufacturing
  8. A prognostic algorithm to prescribe improvement measures on throughput bottlenecks
  9. Adaptive Stream-based Shifting Bottleneck Detection in IoT-based Computing Architectures
  10. Stream-IT: Continuous and dynamic processing of production systems data - throughput bottlenecks as a case-study
  11. Applications of Big Data analytics and Related Technologies in Maintenance—Literature-Based Research
  12. A data-driven algorithm to predict throughput bottlenecks in a production system based on active periods of the machines
  13. Data-driven algorithm for throughput bottleneck analysis of production systems
  14. Corrigendum
  15. An algorithm for data-driven shifting bottleneck detection
  16. Real-time data-driven average active period method for bottleneck detection
  17. Analysis of Critical Factors for Automatic Measurement of OEE