Maheshwaran Gopalakrishnan
Showing 19 publications
Data-driven machine criticality assessment – maintenance decision support for increased productivity
Practices of preventive maintenance planning in discrete manufacturing industry
Organisational Constraints in Data-driven Maintenance: a case study in the automotive industry
Data Analytics in Maintenance Planning – DAIMP
Machine criticality assessment for productivity improvement: Smart maintenance decision support
Data-driven algorithm for throughput bottleneck analysis of production systems
Data-Driven Decision Support for Maintenance Prioritisation - Connecting Maintenance to Productivity
Cyber-Physical Production Testbed: Literature Review and Concept Development
Machine criticality based maintenance prioritization: Identifying productivity improvement potential
Functional Interaction of Simulation and Data Analytics - Potentials and Existing Use-Cases
Identification of maintenance improvement potential using OEE assessment
Real-Time data-driven average active period method for bottleneck detection
An algorithm for data-driven shifting bottleneck detection
Simulation-based planning of maintenance activities by a shifting priority method
Planning of Maintenance Activities – A current state mapping in industry
QUANTIFYING THE EFFECTS OF PRODUCTION MAINTENANCE DECISIONS USING DISCRETE EVENT SIMULATION
Simulation-based planning of maintenance activities in the automotive industry
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Showing 3 research projects
DAIMP - Data Analytics in Maintenance Planning
Streamlined Modeling and Decision Support for Fact-based Production Development (StreaMod)
Innovative continuous upgrades of high investment product-services (USE-IT-WISELY)