Pricing problems under the Markov chain choice model
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J. Dong, S. Simsek & H. Topaloglu, Production and Operations Management, forthcoming.
Assortment optimization with small consideration sets
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J. Feldman, A. Paul & H. Topaloglu, Operations Research, tech. note, forthcoming.
Multi-product pricing under the generalized extreme value models with homogeneous price sensitivity parameters
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H. Zhang, P. Rusmevichientong & H. Topaloglu, Operations Research, tech. note, forthcoming.
When fixed price meets priority auctions: Competing firms with different pricing and service rules
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J. Gao, K. Iyer & H. Topaloglu, Stochastic Systems, forthcoming.
An approximation algorithm for capacity allocation over a single flight leg with fare-locking
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M. Sumida & H. Topaloglu, INFORMS Journal on Computing, forthcoming.
An expectation-maximization algorithm to estimate the parameters of the Markov chain choice model
pdf
S. Simsek & H. Topaloglu, Operations Research, tech. note, 66, 748-760, 2018.
Assortment optimization under the multinomial logit model with nested consideration sets
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J. Feldman & H. Topaloglu, Operations Research, tech. note, 66, 380-391, 2018.
Revenue management under the Markov chain choice model
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J. Feldman & H. Topaloglu, Operations Research, 65, 1322-1342, 2017.
Price competition under linear demand and finite inventories: Contraction and approximate equilibria
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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
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J.M. Davis, H. Topaloglu & D.P. Williamson, INFORMS Journal on Computing, 29, 54-76, 2017.
Delayed purchase options in single-leg revenue management
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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
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J. Feldman & H. Topaloglu, Production and Operations Management, 24, 1598-1620, 2015.
Assortment optimization over time
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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
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G. Li, P. Rusmevichientong & H. Topaloglu, Operations Research, 63, 325-342, 2015.
Capacity constraints across nests in assortment optimization under the nested logit model
pdffull 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
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W.Z. Rayfield, P. Rusmevichientong & H. Topaloglu, INFORMS Journal on Computing, 27, 335-357, 2015.
Constrained assortment optimization for the nested logit model
pdfonline supplement
G. Gallego & H. Topaloglu, Management Science, 60, 2583-2601, 2014.
A bound on the performance of an optimal ambulance redeployment policy
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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
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J. Davis, G. Gallego & H. Topaloglu, Operations Research, 62, 250-273, 2014.
Balancing revenues and repair costs under partial information about product reliability
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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
An earlier version of this paper was titled "Assortment optimization with mixtures of logits"
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
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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
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C. Tong & H. Topaloglu, INFORMS Journal on Computing, 26, 131-134, 2014.
Tuning approximate dynamic programming policies for ambulance redeployment via direct search
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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
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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
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H. Topaloglu, Production and Operations Management, 22, 1182-1199, 2013.
Robust assortment optimization in revenue management under the multinomial logit choice model
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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
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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
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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
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S. Kunnumkal, K. Talluri & H. Topaloglu, Transportation Science, 46, 90-108, 2012.
A duality based approach for network revenue management in airline alliances
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H. Topaloglu, Journal of Revenue and Pricing Management, 11, 500-517, 2012.
Linear programming based decomposition methods for inventory distribution systems
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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
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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
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A. Erdelyi & H. Topaloglu, IIE Transactions, 43, 129-142, 2011.
Using decomposition methods to solve pricing problems in network revenue management
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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
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S. Kunnumkal & H. Topaloglu, Naval Research Logistics, 54, 323-343, 2011.
A stochastic approximation algorithm for making pricing decisions in network revenue management problems
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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
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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
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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
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A. Erdelyi & H. Topaloglu, INFORMS Journal on Computing, 22, 443-456, 2010.
Computing time-dependent bid-prices in network revenue management problems
pdftechnical 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
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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
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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
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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
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A. Erdelyi & H. Topaloglu, IIE Transactions, 41, 498-510, 2009.
On the asymptotic optimality of the randomized linear program for network revenue management
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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
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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
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S. Kunnumkal & H. Topaloglu, Flexible Services and Manufacturing Journal, 20, 125-147, 2008.
A duality-based relaxation and decomposition approach for inventory distribution systems
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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
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S. Kunnumkal & H. Topaloglu, Naval Research Logistics, 55, 563-580, 2008.
A stochastic approximation method to compute bid prices in network revenue management problems
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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
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S. Kunnumkal & H. Topaloglu, Operations Research, 56, 646-664, 2008.
Exploiting the structural properties of the underlying Markov decision problem in Q-learning algorithm
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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
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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
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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
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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
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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
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H. Topaloglu & W.B. Powell, Operations Research Letters, 31, 66-76, 2003.
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
pdfdraft long version
W.B. Powell & H. Topaloglu, in TutORials in Operations Research, M.P. Johnson, B. Norman & N. Secomandi, eds., 2006.
Fleet management
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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
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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
Assortment planning under the multinomial logit model with totally unimodular constraint structures
pdf
J. Davis, G. Gallego & H. Topaloglu.
Assortment optimization under the paired combinatorial logit model
pdf
H. Zhang, P. Rusmevichientong & H. Topaloglu.
Dynamic assortment optimization for reusable products with random usage durations
pdf
P. Rusmevichientong, M. Sumida & H. Topaloglu.
Assortment optimization under the multinomial logit model with sequential offerings
pdf
N. Liu, Y. Ma & H. Topaloglu.
A constant-factor approximation algorithm for network revenue management
pdf
Y. Ma, P. Rusmevichientong, M. Sumida & H. Topaloglu.