| Technical integrity management: measuring HSE awareness using AHP in selecting a maintenance strategy RM Chandima Ratnayake, T Markeset Journal of quality in maintenance engineering 16 (1), 44-63, 2010 | 90 | 2010 |
| Machine learning approach for risk-based inspection screening assessment A Rachman, RMC Ratnayake Reliability Engineering & System Safety 185, 518-532, 2019 | 71 | 2019 |
| Application of a fuzzy inference system for functional failure risk rank estimation: RBM of rotating equipment and instrumentation RMC Ratnayake Journal of Loss Prevention in the Process Industries 29, 216-224, 2014 | 61 | 2014 |
| Enhancing offshore process safety by selecting fatigue critical piping locations for inspection using Fuzzy-AHP based approach A Keprate, RMC Ratnayake Process Safety and Environmental Protection 102, 71-84, 2016 | 57 | 2016 |
| Development of a risk matrix and extending the risk-based maintenance analysis with fuzzy logic RMC Ratnayake, K Antosz Procedia Engineering 182, 602-610, 2017 | 56 | 2017 |
| Maintaining sustainable performance in operating petroleum assets via a lean-six-sigma approach: A case study from engineering support services RMC Ratnayake, O Chaudry International Journal of Lean Six Sigma 8 (1), 33-52, 2017 | 54 | 2017 |
| Asset integrity management for sustainable industrial operations: measuring the performance RM Chandima Ratnayake, T Markeset International journal of sustainable engineering 5 (2), 145-158, 2012 | 48 | 2012 |
| Industrial asset maintenance and sustainability performance: economical, environmental, and societal implications JP Liyanage, F Badurdeen, RMC Ratnayake Handbook of maintenance management and engineering, 665-693, 2009 | 43 | 2009 |
| Spare parts’ criticality assessment and prioritization for enhancing manufacturing systems’ availability and reliability K Antosz, RMC Ratnayake Journal of Manufacturing Systems 50, 212-225, 2019 | 42 | 2019 |
| A decision model for executing plant strategy: maintaining the technical integrity of petroleum flowlines RMC Ratnayake International Journal of Decision Sciences, Risk and Management 4 (1-2), 1-24, 2012 | 40 | 2012 |
| Adaptive Gaussian process regression as an alternative to FEM for prediction of stress intensity factor to assess fatigue degradation in offshore pipeline A Keprate, RMC Ratnayake, S Sankararaman International Journal of pressure vessels and piping 153, 45-58, 2017 | 37 | 2017 |
| Enhancing aircraft maintenance services: a VSM based case study D Stadnicka, RMC Ratnayake Procedia Engineering 182, 665-672, 2017 | 37 | 2017 |
| Development of an empirical formula for machine classification: Prioritization of maintenance tasks D Stadnicka, K Antosz, RMC Ratnayake Safety Science 63, 34-41, 2014 | 37 | 2014 |
| Sustainable performance of industrial assets: The role of PAS 55-1&2 and human factors RMC Ratnayake International Journal of Sustainable Engineering 6 (3), 198-211, 2013 | 37 | 2013 |
| Challenges in inspection planning for maintenance of static mechanical equipment on ageing oil and gas production plants: The state of the art RMC Ratnayake International Conference on Offshore Mechanics and Arctic Engineering 44939 …, 2012 | 36 | 2012 |
| Strengthening, modification and repair techniques’ prioritization for structural integrity control of ageing offshore structures SMK Samarakoon, RMC Ratnayake Reliability Engineering & System Safety 135, 15-26, 2015 | 35 | 2015 |
| Modelling of asset integrity management process: a case study for computing operational integrity preference weights RMC Ratnayake International Journal of Computational Systems Engineering 1 (1), 3-12, 2012 | 35 | 2012 |
| Applications of machine learning in pipeline integrity management: A state-of-the-art review A Rachman, T Zhang, RMC Ratnayake International journal of pressure vessels and piping 193, 104471, 2021 | 33 | 2021 |
| Adoption and implementation potential of the lean concept in the petroleum industry: state-of-the-art A Rachman, RMC Ratnayake International journal of lean six sigma 10 (1), 311-338, 2019 | 31 | 2019 |
| KBE development for criticality classification of mechanical equipment: A fuzzy expert system RMC Ratnayake International journal of disaster risk reduction 9, 84-98, 2014 | 31 | 2014 |
Arvind KeprateAssociate Professor (OsloMet University)Verified email at oslomet.no
