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作者：He, Ying; Dyer, James S.; Butler, John C.
作者单位：City University of Hong Kong; University of Texas System; University of Texas Austin; University of Texas System; University of Texas Austin
摘要：We propose a preference condition called shifted difference independence to axiomatize a general habit formation and satiation model (GHS). This model allows for a general habit formation and satiation function that contain many functional forms in the literature as special cases. Since the GHS model can be reduced to either a general satiation model (GSa) or a general habit formation model (GHa), our theory also provides approaches to axiomatize both the GSa model and the GHa model. Furthermo...
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作者：Deo, Sarang; Iravani, Seyed; Jiang, Tingting; Smilowitz, Karen; Samuelson, Stephen
作者单位：Indian School of Business (ISB); Northwestern University
摘要：This paper studies a model of community-based healthcare delivery for a chronic disease. In this setting, patients periodically visit the healthcare delivery system, which influences their disease progression and consequently their health outcomes. We investigate how the provider can maximize community-level health outcome's through better operational decisions pertaining to capacity allocation across different patients. To do so, we develop an integrated capacity allocation model that incorpo...
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作者：Cire, Andre A.; van Hoeve, Willem-Jan
作者单位：Carnegie Mellon University
摘要：Sequencing problems are among the most prominent problems studied in operations research, with primary application in, e.g., scheduling and routing. We propose a novel approach to solving generic sequencing problems using multivalued decision diagrams (MDDs). Because an MDD representation may grow exponentially large, we apply MDDs of limited size as a discrete relaxation to the problem. We show that MDDs can be used to represent a wide range of sequencing problems with various side constraint...
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作者：Pinker, Edieal; Tezcan, Tolga
作者单位：Yale University; University of Rochester
摘要：We study the optimal configuration of hospital inpatient rooms with private and semiprivate rooms when some of the patients have infectious diseases and need to be isolated. We assume that the demand is random and seasonal. We propose a computationally efficient solution procedure that is based on a stochastic program that uses asymptotic approximations for the system performance under different admission policies and show its accuracy for large systems. Using our model, we study the appropria...
