| A methodology for joint optimization for maintenance planning, process quality and production scheduling D Pandey, MS Kulkarni, P Vrat Computers & Industrial Engineering 61 (4), 1098-1106, 2011 | 144 | 2011 |
| Joint consideration of production scheduling, maintenance and quality policies: a review and conceptual framework D Pandey, MS Kulkarni, P Vrat International Journal of Advanced Operations Management 2 (1-2), 1-24, 2010 | 93 | 2010 |
| A TLBO and a Jaya heuristics for permutation flow shop scheduling to minimize the sum of inventory holding and batch delay costs A Mishra, D Shrivastava Computers & Industrial Engineering 124, 509-522, 2018 | 56 | 2018 |
| Integrated design of preventive maintenance and quality control policy parameters with CUSUM chart D Shrivastava, MS Kulkarni, P Vrat The International Journal of Advanced Manufacturing Technology 82 (9), 2101-2112, 2016 | 43 | 2016 |
| A methodology for simultaneous optimisation of design parameters for the preventive maintenance and quality policy incorporating Taguchi loss function D Pandey, MS Kulkarni, P Vrat International Journal of Production Research 50 (7), 2030-2045, 2012 | 42 | 2012 |
| Joint optimization of production scheduling and group preventive maintenance planning in multi-machine systems AK Mishra, D Shrivastava, D Tarasia, A Rahim Annals of Operations Research 316 (1), 401-444, 2022 | 33 | 2022 |
| A discrete Jaya algorithm for permutation flow-shop scheduling problem A Mishra, D Shrivastava Int. J. Ind. Eng. Comput 11 (3), 415-428, 2020 | 21 | 2020 |
| An efficient Jaya algorithm for multi-objective permutation flow shop scheduling problem AK Mishra, D Shrivastava, B Bundela, S Sircar Advanced engineering optimization through intelligent techniques: select …, 2019 | 21 | 2019 |
| A dynamic job rotation scheduling conceptual framework by a human representing digital twin VKR Pabolu, D Shrivastava Procedia CIRP 104, 1367-1372, 2021 | 17 | 2021 |
| An opportunistic group maintenance model for the multi-unit series system employing Jaya algorithm AK Mishra, D Shrivastava, P Vrat Opsearch 57 (2), 603-628, 2020 | 17 | 2020 |
| A model for optimal maintenance interval incorporating the cost of rejections in manufacturing D Pandey, MS Kulkarni, P Vrat Journal of Advances in Management Research 7 (2), 219-232, 2010 | 17 | 2010 |
| A digital-twin based worker's work allocation framework for a collaborative assembly system VKR Pabolu, D Shrivastava, MS Kulkarni IFAC-PapersOnLine 55 (10), 1887-1892, 2022 | 15 | 2022 |
| Metaheuristic optimization and computational investigation of resistance spot welding process parameter employing Jaya, TLBO and Rao-II algorithm V Gurav, D Shrivastava International Journal on Interactive Design and Manufacturing (IJIDeM) 19 (2 …, 2025 | 14 | 2025 |
| Machine tool reliability BK Lad, D Shrivastava, MS Kulkarni John Wiley & Sons, 2016 | 13 | 2016 |
| A dynamic system to predict an assembly line worker’s comfortable work-duration time by using the machine learning technique VKR Pabolu, D Shrivastava, MS Kulkarni Procedia CIRP 106, 270-275, 2022 | 12 | 2022 |
| Modelling and prediction of worker task performance using a knowledge-based system application VKR Pabolu, D Shrivastava, MS Kulkarni International Journal of Production Economics 254, 108657, 2022 | 8 | 2022 |
| Integration of production scheduling and group maintenance planning in multi-unit system employing TLBO algorithm AK Mishra, D Shrivastava Procedia CIRP 93, 949-954, 2020 | 8 | 2020 |
| Development of intelligent system to consider worker's comfortable work duration in assembly line work scheduling VKR Pabolu, D Shrivastava, MS Kulkarni Journal of Manufacturing Systems 78, 226-243, 2025 | 7 | 2025 |
| Intelligent Systems in Production Planning for an Assemble-to-Order Production System VKR Pabolu, D Shrivastava, MS Kulkarni Congress on Smart Computing Technologies, 177-190, 2022 | 2 | 2022 |
| Intelligent system for assembly-line worker’s fatigue recognition and facilitation VKR Pabolu, D Shrivastava, MS Kulkarni Computers & Industrial Engineering 198, 110726, 2024 | 1 | 2024 |