A data-driven algorithm to predict throughput bottlenecks in a production system based on active periods of the machines. - Mukund Subramaniyan; Anders Skoogh; Hans Salomonsson; Pramod Bangalore; Jon Bokrantz (Comput. Ind. Eng., 2018)

Adaptive Stream-based Shifting Bottleneck Detection in IoT-based Computing Architectures. - Hannaneh Najdataei; Mukund Subramaniyan; Vincenzo Gulisano; Anders Skoogh; Marina Papatriantafilou (ETFA, 2019)

Stream-IT: Continuous and dynamic processing of production systems data - throughput bottlenecks as a case-study. - Hannaneh Najdataei; Mukund Subramaniyan; Vincenzo Gulisano; Anders Skoogh; Marina Papatriantafilou (ISIE, 2019)

A data-driven approach to diagnosing throughput bottlenecks from a maintenance perspective. - Mukund Subramaniyan; Anders Skoogh; Azam Sheikh Muhammad; Jon Bokrantz; Björn Johansson 004; Christoph Roser (Comput. Ind. Eng., 2020)

An Enhanced Data-Driven Algorithm for Shifting Bottleneck Detection. - Christoph Roser; Mukund Subramaniyan; Anders Skoogh; Björn Johansson 004 (APMS (1), 2021)

Integrating Machine and Quality Data for Predictive Maintenance in Manufacturing System. - Sabino Francesco Roselli; Martin Dahl; Mukund Subramaniyan; Ebru Turanoglu Bekar; Anders Skoogh (APMS (5), 2024)