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Jon Bokrantz
Jon Bokrantz
Research Specialist, PhD, Chalmers University of Technology
Verified email at chalmers.se - Homepage
Title
Cited by
Cited by
Year
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
2712017
Smart Maintenance: an empirically grounded conceptualization
J Bokrantz, A Skoogh, C Berlin, T Wuest, J Stahre
International Journal of Production Economics 223, 107534, 2020
1602020
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
1442017
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
1322020
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
1112018
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
672016
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
622018
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
612020
Quantifying the effects of maintenance–a literature review of maintenance models
C Lundgren, A Skoogh, J Bokrantz
Procedia CIRP 72, 1305-1310, 2018
482018
Artificial intelligence for throughput bottleneck analysis–State-of-the-art and future directions
M Subramaniyan, A Skoogh, J Bokrantz, MA Sheikh, M Thürer, Q Chang
Journal of Manufacturing Systems 60, 734-751, 2021
342021
Building and testing necessity theories in supply chain management
J Bokrantz, J Dul
Journal of Supply Chain Management 59 (1), 48-65, 2023
332023
Performance indicators for measuring the effects of Smart Maintenance
C Lundgren, J Bokrantz, A Skoogh
International Journal of Productivity and Performance Management 70 (6 …, 2021
332021
A data-driven approach to diagnosing throughput bottlenecks from a maintenance perspective
M Subramaniyan, A Skoogh, AS Muhammad, J Bokrantz, B Johansson, ...
Computers & Industrial Engineering 150, 106851, 2020
332020
A strategy development process for Smart Maintenance implementation
C Lundgren, J Bokrantz, A Skoogh
Journal of Manufacturing Technology Management 32 (9), 142-166, 2021
322021
Smart Maintenance: instrument development, content validation and an empirical pilot
J Bokrantz, A Skoogh, C Berlin, J Stahre
International Journal of Operations & Production Management, 2020
322020
Planning of maintenance activities–A current state mapping in industry
M Gopalakrishnan, J Bokrantz, T Ylipää, A Skoogh
Procedia CIRP 30, 480-485, 2015
312015
A prognostic algorithm to prescribe improvement measures on throughput bottlenecks
M Subramaniyan, A Skoogh, AS Muhammad, J Bokrantz, ET Bekar
Journal of Manufacturing Systems 53, 271-281, 2019
222019
Development of digitalised maintenance–a concept
H Algabroun, J Bokrantz, B Al-Najjar, A Skoogh
Journal of Quality in Maintenance Engineering 28 (2), 367-390, 2022
212022
Dealing with resistance to the use of Industry 4.0 technologies in production disturbance management
A Ito, T Ylipää, P Gullander, J Bokrantz, V Centerholt, A Skoogh
Journal of Manufacturing Technology Management 32 (9), 285-303, 2021
162021
The use of engineering tools and methods in maintenance organisations: mapping the current state in the manufacturing industry
J Bokrantz, A Skoogh, T Ylipää
Procedia CIRP 57, 556-561, 2016
162016
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