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作者：Wagner, Laura; Martinez-de-Albeniz, Victor
作者单位：Universidade Catolica Portuguesa; University of Navarra; IESE Business School
摘要：Lenient return policies enable consumers to return or exchange products they are unsatisfied with, which boosts sales. Unfortunately, they also increase retailer costs. We develop a search framework where consumers sequentially learn about products' true value and evaluate whether to keep, exchange, or return them. Our formulation results in a tractable attraction demand model that can be used for optimization. We show that when pricing is not a decision, the assortment problem does not have a...
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作者：Xiao, Shihong; Chen, Ying-Ju; Tang, Christopher
作者单位：Hong Kong University of Science & Technology; Hong Kong University of Science & Technology; University of California System; University of California Los Angeles
摘要：In developing economies, smallholders apply their own specialized knowledge and exert costly effort to manage their farms. To raise overall productivity, NGOs and governments are advocating various knowledge-sharing and learning platforms for farmers to exchange a variety of farming techniques. Putting altruism aside, we examine the overall economic implications for heterogeneous farmers sharing their private knowledge voluntarily with others under (implicit) competition. By analyzing a multip...
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作者：Zhao, Ming; Zhang, Minjiao
作者单位：University of Delaware; University System of Georgia; Kennesaw State University
摘要：We study a multiechelon lot-sizing problem for a serial supply chain that consists of a production level and several transportation levels, where the demands can exist in the production echelon as well as in any transportation echelons. With the presence of stationary production capacity and general cost functions, our model integrates production, inventory, and transportation decisions and generalizes existing literature on many multiechelon lot-sizing models. First, we answer an open questio...
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作者：Colini-Baldeschi, Riccardo; Cominetti, Roberto; Mertikopoulos, Panayotis; Scarsini, Marco
作者单位：Facebook Inc; Universidad Adolfo Ibanez; Inria; Communaute Universite Grenoble Alpes; Institut National Polytechnique de Grenoble; Universite Grenoble Alpes (UGA); Centre National de la Recherche Scientifique (CNRS); Luiss Guido Carli University
摘要：This paper examines the behavior of the price of anarchy as a function of the traffic inflow in nonatomic congestion games with multiple origin/destination (O/D) pairs. Empirical studies in real-world networks show that the price of anarchy is close to 1 in both light and heavy traffic, thus raising the following question: can these observations be justified theoretically? We first show that this is not always the case: the price of anarchy may remain a positive distance away from 1 for all va...
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作者：Xie, Weijun; Ahmed, Shabbir
作者单位：Virginia Polytechnic Institute & State University; University System of Georgia; Georgia Institute of Technology
摘要：A chance-constrained optimization problem involves constraints with random data that can be violated with probability bounded from above by a prespecified small risk parameter. Such constraints are used to model reliability requirements in a variety of application areas, such as finance, energy, service, and manufacturing. Except under very special conditions, chance-constrained problems are extremely difficult. There has been a great deal of elegant work on developing tractable approximations...
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作者：Ata, Baris; Peng, Xiaoshan
作者单位：University of Chicago; Indiana University System; Indiana University Bloomington; IU Kelley School of Business
摘要：This paper studies the callback option as an instrument to effectively mitigate congestion due to temporary surges in arrivals to a call center. The call arrival process can be an arbitrary point process, allowing uncertainty and temporary surges in the arrival rate, provided that the system is stable. When a customer arrives, the call center manager examines the system state and decides whether to offer the incoming customer the callback option. When the callback option is offered, the custom...
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作者：Chen, Shea D.; Lim, Andrew E. B.
作者单位：National University of Singapore; National University of Singapore
摘要：The Black-Litterman model provides a framework for combining the forecasts of a backward-looking equilibrium model with the views of (several) forward-looking experts in a portfolio allocation decision. The classical version uses the capital asset pricing model to specify expected returns, and assumes that expert views are unbiased noisy observations of future returns. It combines the two using Bayes' rule and the portfolio allocation decision is made on the basis of the updated forecast. The ...
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作者：Atamturk, Alper; Gomez, Andres
作者单位：University of California System; University of California Berkeley; University of Southern California
摘要：We describe strong convex valid inequalities for conic quadratic mixed 0-1 optimization. These inequalities can be utilized for solving numerous practical nonlinear discrete optimization problems from value-at-risk minimization to queueing system design, from robust interdiction to assortment optimization through appropriate conic quadratic mixed 0-1 relaxations. The inequalities exploit the submodularity of the binary restrictions and are based on the polymatroid inequalities over binaries fo...
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作者：Bansal, Saurabh; Gutierrez, Genaro J.
作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park; Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park; University of Texas System; University of Texas Austin
摘要：In this paper, we develop a new characterization of multiple-point forecasts provided by experts and use it in an optimization framework to deduce actionable signals, including the mean, standard deviation, or a combination of the two for underlying probability distributions. This framework consists of three steps: (1) calibrate experts' point forecasts using historical data to determine which quantile they provide, on average, when asked for forecasts, (2) quantify the precision in the expert...
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作者：Braverman, Anton; Gurvich, Itai; Huang, Junfei
作者单位：Northwestern University; Chinese University of Hong Kong
摘要：We introduce a framework for approximate dynamic programming that we apply to discrete-time chains on Z(+)(d) with countable action sets. The framework is grounded in the approximation of the (controlled) chain's generator by that of another Markov process. In simple terms, our approach stipulates applying a second-order Taylor expansion to the value function, replacing the Bellman equation with one in continuous space and time in which the transition matrix is reduced to its first and second ...
