Smart manufacturing/Industry 4.0
- Jain, A., Chouksey, P., Parlikad, A., & Lad, B. K. (2020). Distributed Diagnostics, Prognostics and Maintenance Planning: Realizing Industry 4.0. LINK
- Jain, A., Dhada, M., Parlikad, A., & Lad, B. K. (2020). Product Quality Driven Auto-Prognostics: Low-Cost Digital Solution for SMEs. LINK
- Kumar, S., Lad, B. K., and Kulkarni, M. S., "Industry 4.0 readiness assessment for SMEs: A state-of-the-art literature review", International Conference on Precision, Meso, Micro and Nano Engineering (COPEN 11), IIT Indore, India, Dec. 12-14 2019, pp. 1-7.
- Kumar, S., Manjrekar, V., Singh, V., & Lad, B. K. (2020). Integrated yet distributed operations planning approach: A next generation manufacturing planning system. Journal of Manufacturing Systems, 54, 103-122. LINK
Cyber Physical System Architecture
- Chilwant, N., and Kulkarni, M. S. (2019). Open Asset Administration Shell for Industrial Systems. Manufacturing Letters, 20, 15-21. LINK
Prognostics For Manufacturing Systems
- Jain, A., Dhada, M., Perez Hernandez, M. E., Herrera, M., & Parlikad, A. (2020). Influence of imperfect prognostics on maintenance decisions. LINK
- Jain, A. K., & Lad, B. K. (2020). Prognosticating RULs while Exploiting the Future Characteristics of Operating Profiles. Reliability Engineering & System Safety, 107031. LINK
- Jain, A., Dhada, M., Perez Hernandez, M. E., Herrera, M., & Parlikad, A. (2020). Influence of imperfect prognostics on maintenance decisions. LINK
- Jain, A. K., and Lad, B. K. (2019). A novel integrated tool condition monitoring system. Journal of Intelligent Manufacturing, 30(3), 1423-1436. LINK
- Jain, A. K., and Lad, B. K. (2017). Dynamic Optimization of Process Quality Control and Maintenance Planning. IEEE Transactions on Reliability, 66(2), 502-517. LINK
- Jain, A.K., and Lad, B.K., (2015). Quality Control Based Tool Condition Monitoring. Annual Conference of the Prognostics and Health Management Society, 19-24 Oct. at San Diego, California, USA, pp. 1-10. LINK
- Jain, A. K., and Lad, B. K., (2015). Predicting Remaining Useful Life of High Speed Milling Cutters based on Artificial Neural Network. International Conference on Robotics, Automation, Control and Embedded System (RACE) 2015, 18–20 Feb. at Hindustan University, Chennai, India, pp. 1-5. LINK
Shop-floor planning and control
- Minakshi Kumari, Makarand. S. Kulkarni, Single-measure and Multi-Measure Approach of Predictive Manufacturing Control: A Comparative Study, Computers and Industrial Engineering, Vol. 127, 2019, pp. 182-195. LINK
- Minakshi Kumari, Makarand. S. Kulkarni, A Unified Index for Proactive Shop Floor Control, International Journal of Advanced Manufacturing Technology, Vol 100, Issue 9-12, 2019, pp 2435–2454. LINK
- Minakshi Kumari, Nikhil Chilwant, Anand Prajapati, Makarand S. Kulkarni, An agent based distributed shop-floor control system for a job-shop environment, Accepted in the ASTM Journal of Smart and Sustainable Manufacturing Systems, Vol. 1, Issue 1, 2017, pp. 1-27. LINK
Intelligent Decision-making
- Upasani, K., Bakshi, M., Pandhare, V., and Lad, B. K. (2017). Distributed maintenance planning in manufacturing industries. Computers & Industrial Engineering, 108, 1-14. LINK
- Kumar, S., Bakliwal K., Dhada, M. H., and Lad, B. K., (2019). Distributed Job Scheduling Using Multi-Agent System. Proceedings of the International Conference on Industrial Engineering and Operations Management (IEOM), 5-7 March, at Bangkok, Thailand.
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