RESEARCH
Research Interests
Topics: Pricing and Revenue Management, Supply Chain Management, Operations Analytics
Methodologies: Optimization, Econometrics, Game Theory
My research interests include revenue management with a focus on developing efficient and provably-effective algorithms for multiproduct dynamic pricing problems that are inspired by practice. I also work on studying flight delays in airline operations using empirical methods. In my most recent work, I analyze different pricing mechanisms used by technology firms to sell Artificial Intelligence services and compare those mechanisms across various metrics such as the revenue obtained and consumer surplus. A list of my papers can be found below.
Research Papers
C. Manchiraju, M. Dawande, G. Janakiraman. “Multiproduct Pricing with Discrete Price Sets,” Operations Research, 2022, 70(4): 2185-2193 [SSRN] [URL]
C. Manchiraju, M. Dawande, G. Janakiraman. “A Note on State-Independent Policies in Network Revenue Management,” forthcoming, Operations Research, 2023. [SSRN]
C. Manchiraju, M. Dawande, G. Janakiraman, A. Raghunathan. “Dynamic Pricing and Capacity Optimization in Railways,” forthcoming, Manufacturing and Service Operations Management, 2023. [SSRN]
C. Manchiraju, M. Sohoni, V. Deshpande. “It's Not Simply Luck: The Impact of Network Strategy, Schedule Padding, and Operational Improvements on Domestic On-Time Performance in the US Airline Industry,” forthcoming, Production and Operations Management, 2023. [SSRN]
V. Deshpande, C. Manchiraju, M. Sohoni. “Decision Bias in the Newsvendor Problem: Evidence from Airline Flight Scheduling,” working paper, 2023.
S. Mehta, C. Manchiraju, M. Dawande, G. Janakiraman. "Pay with Your Data: Designing Optimal Data-Sharing Mechanisms for Artificial Intelligence Services," working paper, 2023.