Operations research

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  Año 2019, Número 5

  • Bayesian Social Learning from Consumer Reviews

    Bar Ifrach, Costis Maglaras, Marco Scarsini, Anna Zseleva

    págs. 1209-1221

    

  • Planning Online Advertising Using Gini Indices

    Miguel A. Lejeune, John Turner

    págs. 1222-1245

    

  • Designing Response Supply Chain Against Bioattacks

    David Simchi-Levi, Nikolaos Trichakis, Peter Yun Zhang

    págs. 1246-1268

    

  • Dynamic Stable Supplier Coalitions and Invariance in Assembly Systems with Commodity Components

    Mahesh Nagarajan, Greys Sosic, Chunyang Tong

    págs. 1269-1282

    

  • Technical Note—Assortment Optimization with Small Consideration Sets

    Jacob Feldman, Alice Paul, Huseyin Topaloglu

    págs. 1283-1299

    

  • Process Flexibility for Multiperiod Production Systems

    Cong Shi, Yehua Wei, Yuan Zhong

    págs. 1300-1320

    

  • Technical Note—Stochastic Optimization with Decisions Truncated by Positively Dependent Random Variables

    Xin Chen, Xiangyu Gao

    págs. 1321-1327

    

  • Distributionally Robust Optimization with Infinitely Constrained Ambiguity Sets

    Zhi Chen, Melvyn Sim, Huan Xu

    págs. 1328-1344

    

  • The Replenishment Schedule to Minimize Peak Storage Problem: The Gap Between the Continuous and Discrete Versions of the Problem

    Dorit S. Hochbaum, Xu Rao

    págs. 1345-1361

    

  • Optimization-Based Calibration of Simulation Input Models

    Aleksandrina Goeva, Henry Lam, Huajie Qian, Bo Zhang

    págs. 1362-1382

    

  • Rare-Event Simulation for Distribution Networks

    Jose Blanchet, Juan Li, Marvin K. Nakayama

    págs. 1383-1396

    

  • Optimal Signaling Mechanisms in Unobservable Queues

    David Lingenbrink, Krishnamurthy Iyer

    págs. 1397-1416

    

  • Multiagent Mechanism Design Without Money

    Santiago R. Balseiro, Huseyin Gurkan, Peng Sun

    págs. 1417-1436

    

  • Empty-Car Routing in Ridesharing Systems

    Anton Braverman, J.G. Dai, Xin Liu, Lei Ying

    págs. 1437-1452

    

  • MNL-Bandit: A Dynamic Learning Approach to Assortment Selection

    Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi

    págs. 1453-1485

    

  • Bandits with Global Convex Constraints and Objective

    Shipra Agrawal, Nikhil R. Devanur

    págs. 1486-1502