Research Scholar
Industrial Engineering and Operations Research
Indian Institute of Technology Bombay
Supervisor
Prof. Narayan Rangaraj
Academic Background
M.Tech-Ph.D. in Operations Research (2015- present), Industrial Engineering and Operations Research, IIT Bombay, Mumbai
B.Tech in Mechanical Engineering (2011-2015) College of Engineering Pune, Pune
Research Interests
Transportation Modeling and logistics, Heuristic methods, Optimization Techniques, Discrete Event System Simulation
Conferences
- Presented joint work with Prof C. G. Corlu, titled "Selective pick-up and delivery problem: A simheuristic approach " at Winter Simulation Conference (WSC), 2020 (Online).
- Presented joint work with Prof N. Rangaraj, titled "Rolling Horizon Models for Inter-Depot Empty Container Repositioning " at Winter Simulation Conference (WSC), National Harbor, MD, USA, 2019.
- Presented joint work with Prof N. Rangaraj, titled "Order First Cluster Second Algorithm for Pick up and Delivery Problem (Case study on Indian Railways) " at World Conference on Transportation Research, Mumbai, May 2019.
- Presented joint work with Prof N. Rangaraj, titled " Dynamic Policies for Real-Time Full Truckload Pick up and Delivery Problems" at ORSI, Mumbai, December 2018.
- Presented joint work with Prof N. Rangaraj, titled " Order First Cluster Second Algorithm for Pick up and Delivery Problem (Theoretical)" at EURO 2018, Valencia, July 2018.
- Presented joint work with Prof N. Rangaraj, titled "Two-step Heuristic for Pick up and Delivery Problems " at International Symposium on Operations Research and Game Theory: Modelling and
Computation, Delhi, January 2018. - Presented poster on joint work with Prof N. Rangaraj, titled "Vehicle Allocation with Maintenance constraints " at JDA Optimization Summit, Mumbai, September 2017.
Papers
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T. Ghorpade and N. Rangaraj, Order first split second heuristic for alternative routing strategy for freight railways, Transport Policy, 2019, ISSN 0967-070X.
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T. Ghorpade and N. Rangaraj, "Rolling Horizon Models for Inter-Depot Empty Container Repositioning," 2019 Winter Simulation Conference (WSC), National Harbor, MD, USA, 2019, pp. 1825-1836.
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Tejas Ghorpade, Narayan Rangaraj, Tilak Raj Singh, "Real-time charging decision with Stochastic battery performance for Commercial Electric Vehicles", Transportation Research Procedia,
Volume 47,2020, Pages 267-274, ISSN 2352-1465.
Communicated Papers
- Ghorpade T. and Rangaraj N., " Dynamic Policies for Real-Time Full Truckload Pick up and Delivery Problems"
Research Internship
- Research intern at Big Data and Analytics Team in Mitsubishi FUSO Truck and Bus Corporation, Japan from August 2018 to October 2018 working on Electric vehicle data analysis and routing strategies
Contact
Email Id: trghorpade@iitb.ac.in