Anders Skoogh
Cited by
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Maintenance in digitalised manufacturing: Delphi-based scenarios for 2030
J Bokrantz, A Skoogh, C Berlin, J Stahre
International Journal of Production Economics 191, 154-169, 2017
Smart Maintenance: an empirically grounded conceptualization
J Bokrantz, A Skoogh, C Berlin, T Wuest, J Stahre
International Journal of Production Economics 223, 107534, 2020
Identification of maintenance improvement potential using OEE assessment
T Ylipää, A Skoogh, J Bokrantz, M Gopalakrishnan
International Journal of Productivity and Performance Management 66 (1), 126-143, 2017
Smart Maintenance: a research agenda for industrial maintenance management
J Bokrantz, A Skoogh, C Berlin, T Wuest, J Stahre
International journal of production economics 224, 107547, 2020
A methodology for input data management in discrete event simulation projects
A Skoogh, B Johansson
2008 Winter Simulation Conference, 1727-1735, 2008
A data-driven algorithm to predict throughput bottlenecks in a production system based on active periods of the machines
M Subramaniyan, A Skoogh, H Salomonsson, P Bangalore, J Bokrantz
Computers & Industrial Engineering 125, 533-544, 2018
Input data management in simulation–Industrial practices and future trends
A Skoogh, T Perera, B Johansson
Simulation Modelling Practice and Theory 29, 181-192, 2012
An intelligent approach for data pre-processing and analysis in predictive maintenance with an industrial case study
ET Bekar, P Nyqvist, A Skoogh
Advances in Mechanical Engineering 12 (5), 1687814020919207, 2020
Handling of production disturbances in the manufacturing industry
J Bokrantz, A Skoogh, T Ylipää, J Stahre
Journal of Manufacturing Technology Management 27 (8), 1054-1075, 2016
Discrete event simulation to generate requirements specification for sustainable manufacturing systems design
B Johansson, A Skoogh, M Mani, S Leong
Proceedings of the 9th Workshop on performance metrics for intelligent …, 2009
A generic hierarchical clustering approach for detecting bottlenecks in manufacturing
M Subramaniyan, A Skoogh, AS Muhammad, J Bokrantz, B Johansson, ...
Journal of Manufacturing Systems 55, 143-158, 2020
Data quality problems in discrete event simulation of manufacturing operations
J Bokrantz, A Skoogh, D Lämkull, A Hanna, T Perera
Simulation 94 (11), 1009-1025, 2018
Symbiotic simulation system: Hybrid systems model meets big data analytics
BS Onggo, N Mustafee, A Smart, AA Juan, O Molloy
2018 Winter Simulation Conference (WSC), 1358-1369, 2018
Automated input data management: evaluation of a concept for reduced time consumption in discrete event simulation
A Skoogh, B Johansson, J Stahre
Simulation 88 (11), 1279-1293, 2012
A test implementation of the core manufacturing simulation data specification
M Johansson, B Johansson, A Skoogh, S Leong, F Riddick, YT Lee, ...
2007 Winter Simulation Conference, 1673-1681, 2007
Input data management methodology for discrete event simulation
N Bengtsson, G Shao, B Johansson, YT Lee, S Leong, A Skoogh, ...
Proceedings of the 2009 winter simulation conference (WSC), 1335-1344, 2009
An algorithm for data-driven shifting bottleneck detection
M Subramaniyan, A Skoogh, M Gopalakrishnan, H Salomonsson, ...
Cogent Engineering 3 (1), 1239516, 2016
Machine criticality assessment for productivity improvement: Smart maintenance decision support
M Gopalakrishnan, A Skoogh, A Salonen, M Asp
International Journal of Productivity and Performance Management 68 (5), 858-878, 2019
Effects of information content in work instructions for operator performance
D Li, S Mattsson, O Salunkhe, Å Fast-Berglund, A Skoogh, J Broberg
Procedia Manufacturing 25, 628-635, 2018
Quantifying the effects of maintenance–a literature review of maintenance models
C Lundgren, A Skoogh, J Bokrantz
Procedia CIRP 72, 1305-1310, 2018
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