| SIMPM–Upper-level ontology for manufacturing process plan network generation D Šormaz, A Sarkar Robotics and Computer-Integrated Manufacturing 55, 183-198, 2019 | 50 | 2019 |
| Ontology model for process level capabilities of manufacturing resources A Sarkar, D Šormaz Procedia Manufacturing 39, 1889-1898, 2019 | 29 | 2019 |
| Research directions for an open unit manufacturing process repository: A collaborative vision WZ Bernstein, AB Subramaniyan, A Brodsky, IC Garretson, KR Haapala, ... Manufacturing Letters 15, 71-75, 2018 | 28 | 2018 |
| Multi-agent system for cloud manufacturing process planning A Sarkar, D Šormaz Procedia manufacturing 17, 435-443, 2018 | 16 | 2018 |
| On semantic interoperability of model-based definition of product design A Sarkar, D Šormaz Procedia Manufacturing 38, 513-523, 2019 | 15 | 2019 |
| Rule based process selection of milling processes based on GD&T requirements D Sormaz, R Gouveia, A Sarkar Journal of Production Engineering, 19-26, 2018 | 7 | 2018 |
| Detecting failure of a material handling system through a cognitive twin RD D'Amico, A Sarkar, H Karray, S Addepalli, JA Erkoyuncu IFAC-PapersOnLine 55 (10), 2725-2730, 2022 | 6 | 2022 |
| IMPlanner-MAS: a multiagent system for distributed manufacturing process planning DN Sormaz, A Sarkar, S Ghosal Procedia manufacturing 26, 1242-1254, 2018 | 6 | 2018 |
| Distributed integration of design and planning activities in manufacturing using intelligent agents D Sormaz, A Sarkar Proceedings of TMCE, 19-23, 2014 | 6 | 2014 |
| Foundation ontology for distributed manufacturing process planning A Sarkar, D Sormaz International Design Engineering Technical Conferences and Computers and …, 2016 | 5 | 2016 |
| Multi Agent framework for design and manufacturing integration A Sarkar, DN Sormaz, J Huang International Conference on Production Research-America 2012, 2012 | 5 | 2012 |
| CHAIKMAT 4.0-Commonsense Knowledge and Hybrid Artificial Intelligence for Trusted Flexible Manufacturing A Sarkar, MR Naqvi, L Elmhadhbi, D Sormaz, B Archimede, MH Karray International Conference on Flexible Automation and Intelligent …, 2022 | 4 | 2022 |
| Developing a resource-based manufacturing process capability ontology A Sarkar, D Šormaz, D Koonce, S Farah International Conference of Production Research–Americas, 293-306, 2020 | 3 | 2020 |
| Process sequencing for features with multiple processing requirements D Šormaz, A Sarkar Procedia Manufacturing 38, 726-734, 2019 | 3 | 2019 |
| Evaluation of feedback among multiple scheduler profiles in fuzzy genetic scheduling GA Süer, A Sarkar, A Arinsoy, PA Kubi, K Plis, M Altun Procedia Computer Science 12, 129-134, 2012 | 3 | 2012 |
| Taxonomy of manufacturing joining operations based on process characterization A Sarkar, D Sormaz, MH Karray International Conference on Flexible Automation and Intelligent …, 2022 | 2 | 2022 |
| Towards an ontology-based approach to enhance the mobile blood collection process I Ghernaout, L Elmhadhbi, A Sarkar, SM Meliani, MH Karray Procedia Computer Science 207, 2833-2842, 2022 | 2 | 2022 |
| Semantic Agent Based Process Planning for Distributed Cloud Manufacturing A Sarkar Ohio University, 2020 | 2 | 2020 |
| Process Sequencing Problem in Distributed Manufacturing Process Planning D Sormaz, A Sarkar Optimization Problems in Graph Theory: In Honor of Gregory Z. Gutin's 60th …, 2018 | 2 | 2018 |
| Object oriented simulation of agent based flexible manufacturing system with dynamic routing and scheduling S Ghosal Ohio University, 2015 | 2 | 2015 |
Dr. Dušan N. ŠormazProfessor Emeritus of Industrial and Systems Engineering, Ohio UniversityVerified email at ohio.edu
