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 22 publications
Smart Maintenance: Instrument Development, Content Validation and an Empirical Pilot
Factors influencing maintenance-related investments in industry: a multiple-case study
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
Development of digitalised maintenance - A concept
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 4 research projects
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)