Vishal Bansal

Academic Background:

• Ph.D. (Production & Quantitative Methods) - Indian Institute of Management Ahmedabad (2021)
• M.Tech. (Industrial & Management Engineering) - Indian Institute of Technology Kanpur (2015)
• B.Tech. (Computer Science & Engineering) - Uttar Pradesh Technical University (2012)

Courses Taught:

• Logistics & Supply Chain Management (MBA)
• Production & Inventory Control (PhD)

Awards:

• Industrial Finance Corporation of India (IFCI) Award (2019-20) for Thesis Proposal, IIM Ahmedabad
• Best IISE Annual Conference Paper Award (2019) in the Facilities Design and Planning Track
• Best SOM Annual Conference Paper Award (2018) - Third prize
• Chaudhary-Padmanabhan-Pant Award (2017-18) for scholastic performance in the first year of the doctoral program, IIM Ahmedabad

Experience

Work Experience:

Assistant Professor, OM Group, IIM Calcutta, Apr 2022 - Present Assistant Professor, IME Department, IIT Kanpur, Jan 2022 - Apr 2022 Research Associate, IIM Ahmedabad, Oct 2021 - Dec 2021 Solution Integration Consultant, FICO, Jun 2015 - Jun 2016

Research

Journal Publications:

Bansal, V., Kumar, D. P., Roy, D., & Subramanian S. C. (2022). Performance evaluation and optimization of design parameters for electric vehicle-sharing platforms by considering vehicle dynamics. Transportation Research Part E: Logistics and Transportation Review, 166, 102869. URL

Bansal V., & Roy, D. (2021). Stochastic modeling of multi-line orders in integrated storage-order picking system. Naval Research Logistics, 68(6), 810-836. URL

Bansal V., Roy, D., & Pazour, J. (2021). Performance analysis of batching decisions in waveless order release environments for e-commerce stock-to-picker order fulfillment. International Transactions in Operational Research, 28(4), 1787-1820.

Mishra, S. S., & Bansal, V. (2017). Role of source-destination proximity in international inbound tourist arrival: empirical evidences from India. Asia Pacific Journal of Tourism Research, 22(5), 540-553. URL

Research Interests:

• Applications: Automated warehouses, Vehicle-sharing platforms, Omnichannel retailing

• Methods: Stochastic processes, Queuing theory, Simulation, Optimization