Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
 
Session Overview
Session
MC3 - RM8: Resource-constrained revenue management
Time:
Monday, 26/June/2023:
MC 13:00-14:30

Location: International II

3rd floor

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Presentations

Cardinality-constrained continuous knapsack problem with concave piecewise-linear utilities

Carlos Cardonha, Miao Bai

University of Connecticut, School of Business, United States of America

We study an extension of the cardinality-constrained knapsack problem where each item has a concave piecewise-linear utility structure. For the offline problem, we present a fully polynomial-time approximation scheme and show that it can be cast as the maximization of a submodular function with cardinality constraints; the latter result allows us to derive a greedy (1 − 1/e)-approximation algorithm. For the online problem in the random order model, we present a 6.027-competitive algorithm.



Revenue management under a price alert mechanism

Nanxi Zhang1, Jiang Bo1, Zizhuo Wang2

1Shanghai University of Finance and Economics; 2Chinese University of Hongkong, Shenzhen

TBD



Fluid approximations for revenue management under high-variance demand

Huseyin Topaloglu, Yicheng Bai, Omar El Housni, Billy Jin

Cornell University

TBD



 
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