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Journal Articles

Fluid approximations for revenue management under high-variance demand pdf
Y. Bai, O. El Housni, B. Jin, P. Rusmevichientong, H. Topaloglu & D. P. Williamson, Management Science, forthcoming.

Assortment optimization under the multi-purchase multinomial logit choice model pdf
Y. Bai, J. Feldman, D. Segev, H. Topaloglu & L. Wagner, Operations Research, forthcoming.

Performance guarantees for network revenue management with flexible products pdf
W. Zhu & H. Topaloglu, M&SOM, forthcoming.

Revenue management with heterogenous resources: Unit resource capacities, advance bookings, and itineraries over time intervals pdf
P. Rusmevichientong, M. Sumida, H. Topaloglu & Y. Bai, Operations Research, forthcoming.

Revenue management under a mixture of multinomial logit and independent demand models pdf
Y. Cao, P. Rusmevichientong & H. Topaloglu, Operations Research, forthcoming.

Joint assortment optimization and customization under a mixture of multinomial logit models: On the value of personalized assortments pdf
O. El Housni & H. Topaloglu, Operations Research, forthcoming.

Omnichannel assortment optimization under the multinomial logit model with a features tree pdf
Venus Lo & Huseyin Topaloglu, M&SOM, 2, 1220-1240, 2022.

Assortment optimization and pricing under the multinomial logit model with impatient customers: Sequential recommendation and selection pdf
P. Gao, Y. Ma, N. Chen, G. Gallego, A. Li, P. Rusmevichientong & H. Topaloglu, Operations Research, 69, 1509-1532, 2021.

Revenue-utility tradeoff in assortment optimization under the multinomial logit model with totally unimodular constraints * pdf
M. Sumida, G. Gallego, P. Rusmevichientong, H. Topaloglu & J. M. Davis, Management Science, 67, 2845-2869, 2021.

An approximation algorithm for network revenue management under nonstationary arrivals * pdf
Y. Ma, P. Rusmevichientong, M. Sumida & H. Topaloglu, Operations Research, 68, 834-855, 2020.

Assortment optimization under the paired combinatorial logit model pdf
H. Zhang, P. Rusmevichientong & H. Topaloglu, Operations Research, 68, 741-761, 2020.

Dynamic assortment optimization for reusable products with random usage durations pdf
P. Rusmevichientong, M. Sumida & H. Topaloglu, Management Science, 66, 2820-2844, 2020.

Assortment optimization under the multinomial logit model with sequential offerings pdf
N. Liu, Y. Ma & H. Topaloglu, INFORMS Journal on Computing, 32, 835-853, 2020.

Assortment optimization with small consideration sets pdf
J. Feldman, A. Paul & H. Topaloglu, Operations Research, tech. note, 67, 1283-1299, 2019.

When fixed price meets priority auctions: Competing firms with different pricing and service rules pdf
J. Gao, K. Iyer & H. Topaloglu, Stochastic Systems, 9, 47-80, 2019.

Pricing problems under the Markov chain choice model pdf
J. Dong, A.S. Simsek & H. Topaloglu, Production and Operations Management, 28, 157-175, 2019.

An approximation algorithm for capacity allocation over a single flight leg with fare-locking pdf
M. Sumida & H. Topaloglu, INFORMS Journal on Computing, 31, 83-99, 2019.

Assortment optimization under the multinomial logit model with product synergies pdf
V. Lo & H. Topaloglu, Operations Research Letters, 47, 546-552, 2019.

Multi-product pricing under the generalized extreme value models with homogeneous price sensitivity parameters pdf
H. Zhang, P. Rusmevichientong & H. Topaloglu, Operations Research, tech. note, 66, 1559-1570, 2018.

An expectation-maximization algorithm to estimate the parameters of the Markov chain choice model pdf
A.S. Simsek & H. Topaloglu, Operations Research, tech. note, 66, 748-760, 2018.

Capacitated assortment optimization under the multinomial logit model with nested consideration sets pdf
J. Feldman & H. Topaloglu, Operations Research, tech. note, 66, 380-391, 2018.

Revenue management under the Markov chain choice model pdf
J. Feldman & H. Topaloglu, Operations Research, 65, 1322-1342, 2017.

Price competition under linear demand and finite inventories: Contraction and approximate equilibria pdf
J. Gao, K. Iyer & H. Topaloglu, Operations Research Letters, 45, 382-387, 2017.

Pricing problems under the nested logit model with a quality consistency constraint pdf
J.M. Davis, H. Topaloglu & D.P. Williamson, INFORMS Journal on Computing, 29, 54-76, 2017.

Delayed purchase options in single-leg revenue management pdf
N. Aydin, S.I. Birbil & H. Topaloglu, Transportation Science, 51, 1031-1045, 2017.

Bounding optimal expected revenues for assortment optimization under mixtures of multinomial logits pdf
J. Feldman & H. Topaloglu, Production and Operations Management, 24, 1598-1620, 2015.

Assortment optimization over time pdf
J.M. Davis, H. Topaloglu & D.P. Williamson, Operations Research Letters, 43, 608-611, 2015.

The d-level nested logit model: Assortment and price optimization problems pdf
G. Li, P. Rusmevichientong & H. Topaloglu, Operations Research, 63, 325-342, 2015.

Capacity constraints across nests in assortment optimization under the nested logit model pdf full paper
J. Feldman & H. Topaloglu, Operations Research, tech. note, 63, 812-822, 2015.

Approximation methods for pricing problems under the nested logit model with price bounds pdf
W.Z. Rayfield, P. Rusmevichientong & H. Topaloglu, INFORMS Journal on Computing, 27, 335-357, 2015.

Constrained assortment optimization for the nested logit model pdf online supplement
G. Gallego & H. Topaloglu, Management Science, 60, 2583-2601, 2014.

A bound on the performance of an optimal ambulance redeployment policy pdf
M.S. Maxwell, E.C. Ni, C. Tong, S.R. Hunter, S.G. Henderson & H. Topaloglu, Operations Research, 62, 1014-1027, 2014.

Assortment optimization under variants of the nested logit model pdf
J. Davis, G. Gallego & H. Topaloglu, Operations Research, 62, 250-273, 2014.

Balancing revenues and repair costs under partial information about product reliability pdf
C. Ding, P. Rusmevichientong & H. Topaloglu, Production and Operations Management, 23, 1899-1918, 2014.

Assortment optimization under the multinomial logit model with random choice parameters * pdf
P. Rusmevichientong, D. Shmoys, C. Tong & H. Topaloglu, Production and Operations Management, 23, 2023-2039, 2014.

Appointment scheduling under patient preference and no-show behavior pdf
J. Feldman, N. Liu, H. Topaloglu & S. Ziya, Operations Research, 62, 794-811, 2014.

On the approximate linear programming approach for network revenue management problems pdf
C. Tong & H. Topaloglu, INFORMS Journal on Computing, 26, 131-134, 2014.

Tuning approximate dynamic programming policies for ambulance redeployment via direct search pdf
M.S. Maxwell, S.G. Henderson & H. Topaloglu, Stochastic Systems, 3, 322-361, 2013.

Dynamic service rate control for a single server queue with Markov modulated arrivals pdf
R. Kumar, M.E. Lewis & H. Topaloglu, Naval Research Logistics, 60, 661-677, 2013.

Joint stocking and product offer decisions under the multinomial logit model pdf
H. Topaloglu, Production and Operations Management, 22, 1182-1199, 2013.

Robust assortment optimization in revenue management under the multinomial logit choice model pdf
P. Rusmevichientong & H. Topaloglu, Operations Research, 60, 865-882, 2012.

Tractable open loop policies for joint overbooking and capacity control over a single flight leg with multiple fare classes pdf
H. Topaloglu, I. Birbil, J.B.G. Frenk & N. Noyan, Transportation Science, 46, 460-481, 2012.

Cargo capacity management with allotments and spot market demand pdf
Y. Levin, M. Nediak & H. Topaloglu, Operations Research, 60, 351-365, 2012.

A randomized linear programming method for network revenue management with product-specific no-shows pdf
S. Kunnumkal, K. Talluri & H. Topaloglu, Transportation Science, 46, 90-108, 2012.

A duality based approach for network revenue management in airline alliances pdf
H. Topaloglu, Journal of Revenue and Pricing Management, 11, 500-517, 2012.

Linear programming based decomposition methods for inventory distribution systems pdf
S. Kunnumkal & H. Topaloglu, European Journal of Operational Research, 211, 282-297, 2011.

A randomized linear program for the network revenue management problem with customer choice behavior pdf
S. Kunnumkal & H. Topaloglu, Journal of Revenue and Pricing Management, 10, 455-470, 2011

Approximate dynamic programming for dynamic capacity allocation with multiple priority levels pdf
A. Erdelyi & H. Topaloglu, IIE Transactions, 43, 129-142, 2011.

Using decomposition methods to solve pricing problems in network revenue management pdf
A. Erdelyi & H. Topaloglu, Journal of Revenue and Pricing Management, 10, 325-343, 2011.

A stochastic approximation algorithm to compute bid prices for joint capacity allocation and overbooking over an airline network pdf
S. Kunnumkal & H. Topaloglu, Naval Research Logistics, 54, 323-343, 2011.

A stochastic approximation algorithm for making pricing decisions in network revenue management problems pdf
S. Kunnumkal & H. Topaloglu, Journal of Revenue and Pricing Management, 9, 419-422, 2010.

A new dynamic programming decomposition method for the network revenue management problem with customer choice behavior pdf
S. Kunnumkal & H. Topaloglu, Production and Operations Management, 19, 575-590, 2010.

A stochastic approximation method with max-norm projections and its applications to the Q-Learning algorithm pdf
S. Kunnumkal & H. Topaloglu, The ACM Transactions on Modeling and Computer Simulation, 20, 12:1-12:26, 2010.

A dynamic programming decomposition method for making overbooking decisions over an airline network pdf
A. Erdelyi & H. Topaloglu, INFORMS Journal on Computing, 22, 443-456, 2010.

Computing time-dependent bid-prices in network revenue management problems pdf technical report
H. Topaloglu & S. Kunnumkal, Transportation Science, 44, 38-62, 2010.

Approximate dynamic programming for ambulance redeployment pdf
M.S. Maxwell, M. Restrepo, S.G. Henderson & H. Topaloglu, INFORMS Journal on Computing, 22, 266-281, 2010.

A stochastic approximation method for the single-leg revenue management problem with discrete demand distributions pdf
S. Kunnumkal & H. Topaloglu, Mathematical Methods of Operations Research, 70, 477-504, 2009. (The original publication is available at www.springerlink.com.)

Using Lagrangian relaxation to compute capacity-dependent bid prices in network revenue management pdf
H. Topaloglu, Operations Research, 57, 637-649, 2009.

A tighter variant of Jensen's lower bound for stochastic programs and separable approximations to recourse functions pdf
H. Topaloglu, European Journal of Operational Research, 199, 315-322, 2009.

Erlang loss models for the static deployment of ambulances pdf
M. Restrepo, S.G. Henderson & H. Topaloglu, Health Care Management Science, 12, 67-79, 2009.

Computing protection level policies for dynamic capacity allocation problems by using stochastic approximation methods pdf
A. Erdelyi & H. Topaloglu, IIE Transactions, 41, 498-510, 2009.

On the asymptotic optimality of the randomized linear program for network revenue management pdf
H. Topaloglu, European Journal of Operational Research, Special Issue on Pricing and Revenue Management, 197, 884-896, 2009.

Separable approximations for joint capacity control and overbooking decisions in network revenue management pdf
A. Erdelyi & H. Topaloglu, Journal of Revenue and Pricing Management, 8, 3-20, 2009.

A tractable revenue management model for capacity allocation and overbooking over an airline network pdf
S. Kunnumkal & H. Topaloglu, Flexible Services and Manufacturing Journal, 20, 125-147, 2008.

A duality-based relaxation and decomposition approach for inventory distribution systems pdf
S. Kunnumkal & H. Topaloglu, Naval Research Logistics, 55, 612-631, 2008.

A refined deterministic linear program for the network revenue management problem with customer choice behavior pdf
S. Kunnumkal & H. Topaloglu, Naval Research Logistics, 55, 563-580, 2008.

A stochastic approximation method to compute bid prices in network revenue management problems pdf
H. Topaloglu, INFORMS Journal on Computing, 20, 596-610, 2008.

Using stochastic approximation methods to compute optimal base-stock levels in inventory inventory control problems pdf
S. Kunnumkal & H. Topaloglu, Operations Research, 56, 646-664, 2008.

Exploiting the structural properties of the underlying Markov decision problem in Q-learning algorithm pdf
S. Kunnumkal & H. Topaloglu, INFORMS Journal on Computing, 20, 288-301, 2008.

Price discounts in exchange for reduced customer demand variability and applications to advance demand information acquisition pdf
S. Kunnumkal & H. Topaloglu, International Journal of Production Economics, 111, 543-561, 2008.

Incorporating pricing decisions into the stochastic dynamic fleet management problem pdf
H. Topaloglu & W.B. Powell, Transportation Science, 41, 281-301, 2007.

Incorporating the pricing decisions into dynamic fleet management models pdf
G.J. King & H. Topaloglu, Journal of the Operational Research Society, 58, 1064-1074, 2007.

Sensitivity analysis of a dynamic fleet management model using approximate dynamic programming pdf
H. Topaloglu & W.B. Powell, Operations Research, 55, 319-331, 2007.

Approximate dynamic programming methods for an inventory allocation problem under uncertainty pdf
H. Topaloglu & S. Kunnumkal, Naval Research Logistics, 53, 822-841, 2006.

A parallelizable dynamic fleet management model with random travel times pdf
H. Topaloglu, European Journal of Operational Research, 175, 782-805, 2006.

Dynamic programming approximations for stochastic, time-staged integer multicommodity flow problems pdf
H. Topaloglu & W.B. Powell, INFORMS Journal on Computing, 18, 31-42, 2006.

An approximate dynamic programming approach for a product distribution problem pdf
H. Topaloglu, IIE Transactions, 37, 697-710, 2005.

A distributed decision making structure for dynamic resource allocation using nonlinear functional approximations pdf
H. Topaloglu & W.B. Powell, Operations Research, 53, 281-297, 2005.

Learning algorithms for separable approximations of discrete stochastic optimization problems pdf
W.B. Powell, A. Ruszczynski & H. Topaloglu, Mathematics of Operations Research, 29, 814-836, 2004.

An algorithm for approximating piecewise linear concave functions from sample gradients pdf
H. Topaloglu & W.B. Powell, Operations Research Letters, 31, 66-76, 2003.

Books

Revenue management and pricing analytics pdf
G. Gallego & H. Topaloglu, Springer, 2019.

Fundamentals of linear optimization: A hopefully uplifting treatment pdf
H. Topaloglu, 2021.

Book Chapters

Computation and dynamic programming pdf
H. Topaloglu, in Wiley Encyclopedia of Operations Research and Management Science, C. Smith, Ed., 2011.

Transportation resource management pdf
S. Kunnumkal & H. Topaloglu, in Wiley Encyclopedia of Operations Research and Management Science, A. Erera, Ed., 2011.

A parallelizable and approximate dynamic programming-based dynamic fleet management model with random travel times and multiple vehicle types pdf
H. Topaloglu, in Dynamic Fleet Management: Concepts, Systems, Algorithms and Case Studies, V.S. Zeimpekis, G.M. Giaglis, C.D. Tarantilis & I. Minis, eds., 2007.

Approximate dynamic programming for large-scale resource allocation problems pdf draft long version
W.B. Powell & H. Topaloglu, in TutORials in Operations Research, M.P. Johnson, B. Norman & N. Secomandi, eds., 2006.

Fleet management pdf
W.B. Powell & H. Topaloglu, in Applications of Stochastic Programming, Math Programming Society – SIAM Series in Optimization, S. Wallace & W. Ziemba, eds., 2005.

Stochastic programming in transportation and logistics pdf
W.B. Powell & H. Topaloglu, in Handbooks in Operations Research and Management Science,  volume on Stochastic Programming, A. Shapiro & A. Ruszczynski, eds., 2003.

White Paper

Can testing ease social distancing measures? Future evolution of COVID-19 in NYC pdf
O. El Housni, M. Sumida, P. Rusmevichientong, H. Topaloglu & S. Ziya.

Work-in-Progress

Assortment optimization under the multinomial logit model in the presence of endogenous consideration sets pdf
Y. Bai, J. Feldman, H. Topaloglu & L. Wagner.

Coordinated inventory stocking and assortment personalization pdf
Y. Bai, O. El Housni, P. Rusmevichientong & H. Topaloglu.

Assortment and inventory planning under stockout-based substitution: The many-products regime pdf
J. Zhang, W. Ma & H. Topaloglu.

Assortment and price optimization under an endogenous context-dependent multinomial logit model pdf
Y. Bai, O. El Housni, P. Rusmevichientong & H. Topaloglu.

Revenue management with calendar-aware and dependent demands: Asymptotically tight fluid approximations pdf
W. Li, P. Rusmevichientong & H. Topaloglu.


Earlier versions of these papers were titled "Assortment planning under the multinomial logit model with totally unimodular constraint structures," "A constant-factor approximation algorithm for network revenue management," and "Assortment optimization with mixtures of logits."