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作者：Ifrach, Bar; Maglaras, Costis; Scarsini, Marco; Zseleva, Anna
作者单位：Uber Technologies, Inc.; Columbia University; Luiss Guido Carli University; Tel Aviv University
摘要：Motivated by the proliferation of user-generated product-review information and its widespread use, this note studies a market where consumers are heterogeneous in terms of their willingness to pay for a new product. Each consumer observes the binary reviews (like or dislike) of consumers who purchased the product in the past and uses Bayesian updating to infer the product quality. We show that the learning process is successful as long as the price is not prohibitive, and therefore at least s...
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作者：Lejeune, Miguel A.; Turner, John
作者单位：George Washington University; University of California System; University of California Irvine
摘要：We study an online display advertising planning problem in which advertisers' demands for ad exposures (impressions) of various types compete for slices of shared resources, and advertisers prefer to receive impressions that are evenly spread across the audience segments they target. We use the Gini coefficient measure and formulate an optimization problem that maximizes the spreading of impressions across targeted audience segments, while limiting demand shortfalls. First, we show how Gini-ba...
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作者：Simchi-Levi, David; Trichakis, Nikolaos; Zhang, Peter Yun
作者单位：Massachusetts Institute of Technology (MIT); Massachusetts Institute of Technology (MIT); Massachusetts Institute of Technology (MIT); Massachusetts Institute of Technology (MIT)
摘要：We study a prescriptive model for end-to-end design of a supply chain for medical countermeasures (MCMs) to defend against bioattacks. We model the defender's MCMs inventory prepositioning and dispensing capacity installation decisions, attacker's move, and defender's adjustable shipment decisions so as to minimize inventory and lifeloss costs subject to population survivability targets. We explicitly account for the strategic interaction between defender's and attacker's actions, assuming inf...
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作者：Nagarajan, Mahesh; Sosic, Greys; Tong, Chunyang
作者单位：University of British Columbia; University of Southern California; Tongji University
摘要：Stable alliance structures among critical (monopoly) component suppliers in a decentralized assembly system are somewhat well understood. However, when there are competing suppliers for any particular component, less is known about such alliances. The intent of this paper is to address some of the theoretical issues that pose challenges in analyzing stable supplier coalitions in such assembly systems. We examine a simple assembly system in which suppliers sell n distinct complementary componen...
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作者：Feldman, Jacob; Paul, Alice; Topaloglu, Huseyin
作者单位：Washington University (WUSTL); Brown University
摘要：We study a customer choice model that captures purchasing behavior when there is a limit on the number of times that a customer will substitute among the offered products. Under this model, we assume each customer is characterized by a ranked preference list of products and, upon arrival, will purchase the highest ranking offered product. Because we restrict ourselves to settings in which customers consider a limited number of products, we assume that these rankings contain at most k products....
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作者：Shi, Cong; Wei, Yehua; Zhong, Yuan
作者单位：University of Michigan System; University of Michigan; Boston College; University of Chicago
摘要：We develop a theory for the design of process flexibility in a multiperiod maketo-order production system. We propose and formalize a notion of effective chaining termed the generalized chaining gap (GCG), which can be viewed as a natural extension of classical chaining structure from the process flexibility literature. Using the GCG, we prove that, in a general system with high capacity utilization, one only needs a sparse flexibility structure with m plus n arcs to achieve similar performanc...
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作者：Chen, Xin; Gao, Xiangyu
作者单位：University of Illinois System; University of Illinois Urbana-Champaign; Chinese University of Hong Kong
摘要：We study stochastic optimization problems with decisions truncated by random variables. This paper extends existing results in the literature by allowing positively dependent random variables and a two-part fee structure. We develop a transformation technique to convert the original nonconvex problems to equivalent convex ones. We apply our transformation technique to an inventory substitution model with random supply capacities and a two-part fee cost structure. In addition, we extend our res...
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作者：Chen, Zhi; Sim, Melvyn; Xu, Huan
作者单位：City University of Hong Kong; National University of Singapore; University System of Georgia; Georgia Institute of Technology
摘要：We consider a distributionally robust optimization problem where the ambiguity set of probability distributions is characterized by a tractable conic representable support set and by expectation constraints. We propose a new class of infinitely constrained ambiguity sets for which the number of expectation constraints could be infinite. The description of such ambiguity sets can incorporate the stochastic dominance, dispersion, fourth moment, and our newly proposed entropic dominance informati...
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作者：Hochbaum, Dorit S.; Rao, Xu
作者单位：University of California System; University of California Berkeley
摘要：The replenishment storage problem (RSP) is to minimize the storage capacity requirement for a deterministic demand, multi-item inventory system, where each item has a given reorder size and cycle length. We consider the discrete RSP, where reorders can only take place at an integer time unit within the cycle. Discrete RSP was shown to be NP-hard for constant joint cycle length (the least common multiple of the length of all individual cycles). We show here that discrete RSP is weakly NP-hard f...
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作者：Goeva, Aleksandrina; Lam, Henry; Qian, Huajie; Zhang, Bo
作者单位：Harvard University; Massachusetts Institute of Technology (MIT); Broad Institute; Columbia University
摘要：Studies on simulation input uncertainty are often built on the availability of input data. In this paper, we investigate an inverse problem where, given only the availability of output data, we nonparametrically calibrate the input models and other related performance measures of interest. We propose an optimization-based framework to compute statistically valid bounds on input quantities. The framework utilizes constraints that connect the statistical information of the real-world outputs wit...
