Jon Bokrantz
Jon Bokrantz has a background in production engineering and has been conducting research on industrial maintenance management since 2014. To ensure the future competitiveness of Swedish manufacturing, Jon’s research focusses on Smart Maintenance. The goals are to conceptualize Smart Maintenance, empirically measure Smart Maintenance and study the performance implications of Smart Maintenance.
Showing 31 publications
Adoption patterns and performance implications of Smart Maintenance
Building and testing necessity theories in supply chain management
Hindering Factors in Smart Maintenance Implementation
Prioritisation of root cause analysis in production disturbance management
Development of digitalised maintenance - A concept
Improved root cause analysis supporting resilient production systems
Artificial intelligence for throughput bottleneck analysis – State-of-the-art and future directions
Factors influencing maintenance-related investments in industry: a multiple-case study
Perspectives on the Future of Maintenance Engineering Education
Dealing with resistance to the use of Industry 4.0 technologies in production disturbance management
A Strategy Development Process for Smart Maintenance Implementation
Smart Maintenance: Instrument Development, Content Validation and an Empirical Pilot
A data-driven approach to diagnosing throughput bottlenecks from a maintenance perspective
A generic hierarchical clustering approach for detecting bottlenecks in manufacturing
Performance indicators for measuring the effects of Smart Maintenance
Smart Maintenance: a research agenda for industrial maintenance management
Smart Maintenance: an empirically grounded conceptualization
A prognostic algorithm to prescribe improvement measures on throughput bottlenecks
Quantifying the Effects of Maintenance - a Literature Review of Maintenance Models
Data Quality Problems in Discrete Event Simulation of Manufacturing Operations
On the Interplay between Platform Concept Development and Production Maintenance
Maintenance in digitalised manufacturing: Delphi-based scenarios for 2030
On the Transformation of Maintenance Organisations in Digitalised Manufacturing
Identification of maintenance improvement potential using OEE assessment
A Methodology for Continuous Quality Assurance of Production Data
Handling of Production Disturbances in the Manufacturing Industry
Planning of Maintenance Activities – A current state mapping in industry
Lean Principles and Engineering Tools in Maintenance Organizations - A Survey Study
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Showing 6 research projects
Integrated Manufacturing Analytics Platform för Prediktivt Underhåll med Iot.
DFusion - Disturbance Data Fusion
Life Cycle Centered Organizations LCCO
Smart mainTenance in Energy Production, step 2 - STEP2
SMASh – Smart Maintenance Assessment
Streamlined Modeling and Decision Support for Fact-based Production Development (StreaMod)