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作者：Baillon, Aurelien; Bleichrodt, Han; Cillo, Alessandra
作者单位：Erasmus University Rotterdam; Erasmus University Rotterdam - Excl Erasmus MC; Bocconi University; Bocconi University
摘要：This paper reports a new test of intransitive choice using individual measurements of regret-and similarity-based intransitive models of choice under uncertainty. Our test is tailor-made and uses subject-specific stimuli. Despite these features, we observed only a few intransitivities. A possible explanation for the poor predictive performance of intransitive choice models is that they only allow for interactions between acts. They exclude within-act interactions by retaining the assumption th...
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作者：Gupta, Diwakar; Mehrotra, Mili
作者单位：University of Minnesota System; University of Minnesota Twin Cities; University of Minnesota System; University of Minnesota Twin Cities
摘要：The Centers for Medicare and Medicaid Services (CMS) has introduced a bundled payments for care improvement (BPCI) initiative. Each bundle pertains to a specific medical condition, a set of linked services, and a length of time referred to as an episode of care. Proposers choose bundles, design service chains, and propose target values of quality metrics and payments per episode. Expert panels evaluate proposals based on CMS-announced relative weights, but there is no limit on the number of pr...
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作者：Reiman, Martin I.; Wang, Qiong
作者单位：Alcatel-Lucent; University of Illinois System; University of Illinois Urbana-Champaign
摘要：Optimizing multiproduct assemble-to-order (ATO) inventory systems is a long-standing difficult problem. We consider ATO systems with identical component lead times and a general bill of materials. We use a related two-stage stochastic program (SP) to set a lower bound on the average inventory cost and develop inventory control policies for the dynamic ATO system using this SP. We apply the first-stage SP optimal solution to specify a base-stock replenishment policy, and the second-stage SP re...
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作者：Meng, Fanwen; Qi, Jin; Zhang, Meilin; Ang, James; Chu, Singfat; Sim, Melvyn
作者单位：Hong Kong University of Science & Technology; National University of Singapore
摘要：The admission of emergency patients in a hospital is unscheduled, urgent, and takes priority over elective patients, who are usually scheduled several days in advance. Hospital beds are a critical resource, and the management of elective admissions by enforcing quotas could reduce incidents of shortfall. We propose a distributionally robust optimization approach for managing elective admissions to determine these quotas. Based on an ambiguous set of probability distributions, we propose an opt...
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作者：Federgruen, Awi; Hu, Ming
作者单位：Columbia University; University of Toronto
摘要：We address a generic price competition model in an industry with an arbitrary number of competitors, each offering all or a subset of a given line of N products. The products are substitutes in the sense that the demand volume of each product weakly increases whenever the price of another product increases. The cost structure is linear, with arbitrary cost rates. Our demand model is the unique regular extension of a set of demand functions that are affine in a limited polyhedral subset of the ...
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作者：Honnappa, Harsha; Jain, Rahul
作者单位：Purdue University System; Purdue University; University of Southern California; University of Southern California
摘要：Queueing networks models typically assume that the arrival process is exogenous and unaffected by admission control, scheduling policies, etc. In many situations, however, users choose the time of their arrival strategically, taking delay and other metrics into account. In this paper, we develop a framework to study such strategic arrivals into queueing networks. We study the population game wherein users strategically choose when to arrive at a parallel queueing network and upon arrival, whic...
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作者：Bertsimas, Dimitris; Brynjolfsson, Erik; Reichman, Shachar; Silberholz, John
作者单位：Massachusetts Institute of Technology (MIT); Massachusetts Institute of Technology (MIT); Massachusetts Institute of Technology (MIT); Tel Aviv University
摘要：Tenure decisions, key decisions in academic institutions, are primarily based on subjective assessments of candidates. Using a large-scale bibliometric database containing 198,310 papers published 1975-2012 in the field of operations research (OR), we propose prediction models of whether a scholar would perform well on a number of future success metrics using statistical models trained with data from the scholar's first five years of publication, a subset of the information available to tenure...
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作者：Jacquillat, Alexandre; Odoni, Amedeo R.
作者单位：Massachusetts Institute of Technology (MIT); Carnegie Mellon University; Massachusetts Institute of Technology (MIT); Massachusetts Institute of Technology (MIT)
摘要：Most flight delays are created by imbalances between demand and capacity at the busiest airports. Absent large increases in capacity, airport congestion can only be mitigated through scheduling interventions or improved capacity utilization. This paper presents an integrated approach that jointly optimizes the airport's flight schedule at the strategic level and the utilization of airport capacity at the tactical level, subject to scheduling, capacity, and delay-reduction constraints. The capa...
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作者：Secomandi, Nicola
作者单位：Carnegie Mellon University
摘要：Commodity merchants use various heuristics to value leasing contracts on storage facilities as real options and make inventory trading decisions. Two prominent heuristics sequentially reoptimize simple models, leading to the so-called rolling intrinsic (RI) policy and rolling basket of spread options (RSO) policy. The extant literature numerically demonstrates that these two policies are nearly optimal in many realistic settings and can be used with Monte Carlo simulation to obtain fairly accu...
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作者：Harrison, J. Michael; Sunar, Nur
作者单位：Stanford University; University of North Carolina; University of North Carolina Chapel Hill
摘要：We consider a firm that can use one of several costly learning modes to dynamically reduce uncertainty about the unknown value of a project. Each learning mode incurs cost at a particular rate and provides information of a particular quality. In addition to dynamic decisions about its learning mode, the firm must decide when to stop learning and either invest or abandon the project. Using a continuous-time Bayesian framework, and assuming a binary prior distribution for the project's unknown v...
