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Journal Articles

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

Assortment optimization under the paired combinatorial logit model pdf
H. Zhang, P. Rusmevichientong & H. Topaloglu, Operations Research, forthcoming.

Dynamic assortment optimization for reusable products with random usage durations pdf
P. Rusmevichientong, M. Sumida & H. Topaloglu, Management Science, forthcoming.

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

Assortment optimization with small consideration sets pdf
J. Feldman, A. Paul & H. Topaloglu, Operations Research, tech. note, forthcoming.

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.

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.

Book

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

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.

Work-in-Progress

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.

Assortment optimization and pricing under the multinomial logit model with impatient customers pdf
Y. Ma, P. Rusmevichientong & H. Topaloglu.
Earlier versions of these papers were titled "A constant-factor approximation algorithm for network revenue management," "Assortment optimization with mixtures of logits" and "Assortment planning under the multinomial logit model with totally unimodular constraint structures."