Research interests: Revenue management and pricing, assortment planning and optimization, approximate dynamic programming
Journal articles
S. Kunnumkal, Technical note, "New Bounds for the Cardinality Constrained Assortment Optimization Problem under the Nested Logit Model", Operations Research, 71(4), 2023. pdf, video
V. Martinez-de-Albeniz and S. Kunnumkal, “A Model for Integrated Inventory and Assortment Planning”, Management Science, 68(7), 2022. pdf, video
S. Kunnumkal and K. Talluri, “Choice Network Revenue Management based on New Tractable Approximations”, Transportation Science, 53(6), 2019. pdf
S. Kunnumkal and K. Talluri, “A Strong Lagrangian Relaxation for General Discrete-Choice Network Revenue Management”, Computational Optimization and Applications, 73(1), 2019. pdf
S. Kunnumkal and V. Martinez-de-Albeniz, “Tractable Models and Algorithms for Assortment Planning with Product Costs”, Operations Research, 67(2), 2019. pdf
R. Bala, S. Kunnumkal and M. Sohoni, “Evergreening and Operational Risk under Price Competition”, Naval Research Logistics, 63 (1), 2016.
S. Kunnumkal and K. Talluri, Technical note “A Note on Relaxations of the Choice Network Revenue Management Dynamic Program”, Operations Research, 64(1), 2016. pdf
S. Kunnumkal and K. Talluri, “On a Piecewise-linear Approximation for Network Revenue Management”, Mathematics of Operations Research, 41(1), 2016. pdf
S. Kunnumkal, “On Upper Bounds for Assortment Optimization under the Mixture of Multinomial Logit Models”, Operations Research Letters, 43(2), 2015. pdf
S. Kunnumkal, “Randomization Approaches for Network Revenue Management with Customer Choice Behavior”, Production and Operations Management, 23(9), 2014. pdf
S. Kunnumkal, K. Talluri and H. Topaloglu, “A Randomized Linear Programming Method for Network Revenue Management with Product-Specific No-Shows”, Transportation Science, 46(1), 2012.
S. Kunnumkal and H. Topaloglu, “A Randomized Linear Program for the Network Revenue Management Problem with Customer Choice Behavior”, Journal of Revenue and Pricing Management, 10(5), 2011.
S. Kunnumkal and H. Topaloglu, “A Stochastic Approximation Algorithm to Compute Bid Prices for Joint Capacity Allocation and Overbooking Over an Airline Network”, Naval Research Logistics, 58(4), 2011.
S. Kunnumkal and H. Topaloglu, “Linear Programming Based Decomposition Methods for Inventory Distribution Systems”, European Journal of Operational Research, 211(2), 2011.
S. Kunnumkal and H. Topaloglu, “A Stochastic Approximation Algorithm for Making Pricing Decisions in Network Revenue Management Problems”, Journal of Revenue and Pricing Management, 9(5), 2010.
S. Kunnumkal and H. Topaloglu, “A New Dynamic Programming Decomposition Method for the Network Revenue Management Problem with Customer Choice Behavior”, Production and Operations Management, 19(5), 2010.
S. Kunnumkal and H. Topaloglu, “Computing Time-Dependent Bid-Prices in Network Revenue Management Problems”, Transportation Science, 44(1), 2010.
S. Kunnumkal and H. Topaloglu, “A Stochastic Approximation Algorithm with Max-Norm Projections and its Application to the Q-Learning Algorithm”, ACM Transactions on Modeling and Computer Simulation, 20(3), 2010.
S. Kunnumkal and H. Topaloglu, “A Stochastic Approximation Method for the Revenue Management Problem on a Single Flight Leg with Discrete Demand Distributions”, Mathematical Methods of Operations Research, 70(3), 2009.
S. Kunnumkal and H. Topaloglu, “A Tractable Revenue Management Model for Capacity and Overbooking Over an Airline Network”, Flexible Services and Manufacturing Journal, 20(3), 2008.
S. Kunnumkal and H. Topaloglu, “A Duality-Based Relaxation and Decomposition Approach for Inventory Distribution Systems”, Naval Research Logistics, 55(7), 2008.
S. Kunnumkal and H. Topaloglu, “A Refined Deterministic Linear Program for the Network Revenue Management Problem with Customer Choice Behavior”, Naval Research Logistics, 55(6), 2008.
S. Kunnumkal and H. Topaloglu, “Exploiting the Structural Properties of the Underlying Markov Decision Problem in Q-Learning Algorithm”, INFORMS Journal on Computing, 20(2), 2008.
S. Kunnumkal and H. Topaloglu, “Using Stochastic Approximation Methods to Compute Optimal Base-Stock Levels in Inventory Control Problems”, Operations Research, 56(3), 2008.
S. Kunnumkal and H. Topaloglu, “Price Discounts in Exchange for Reduced Customer Demand Variability and Applications to Advance Demand Information Acquisition”, International Journal of Production Economics, 111(2), 2008.
H. Topaloglu and S. Kunnumkal, “Approximate Dynamic Programming Methods for an Inventory Allocation Problem under Uncertainty”, Naval Research Logistics, 53(8), 2006.
Work-in-progress
S. Singh, S. Deo and S. Kunnumkal, “Differential Diagnosis: Models, Heuristics and Bounds”, working paper. pdf
D. Honhon, I. Kirci, S. Kunnumkal and S. Seshadri, “Strawberry or Vanilla This Week: How to Optimize Tailored Assortments for Variety Seeking/Avoiding Customers” , submitted. pdf
Other publications
S. Kunnumkal, P. Rusmevichientong and H. Topaloglu, "Assortment Optimization under Multinomial Logit Model with Product Costs", Technical Report. pdf
S. Kunnumkal and H. Topaloglu, “Transportation Resource Management”, in Wiley Encyclopedia of Operations Research and Management Science, A. Erera, Ed., 2011
S. Kunnumkal and H. Topaloglu, “Simulation-Based Methods for Booking Control in Network Revenue Management”, Proceedings of the 2010 Winter Simulation Conference, B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan and E. Yucesan, Eds., 2010.