Operations Research

<P>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 ...

<P>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. ...

<P>Outsourcing of equipment repair and restoration is commonly practiced by firms in many industries. The operational performance of equipment is determined by joint decisions of the firm client and the service provider vendor. Although some decisions ...

<P>We study the performance of two popular and widely used heuristics for revenue management known as the booking limit and bid price controls. In contrast to a recent result in the literature where frequent re-solvings of a certain heuristic are shown ...

<P>We consider a service provider in a market with two segments. Members of the first request a reservation ahead of service and will not patronize the firm without one. Members of the second walk in and demand service immediately. These customers have ...

<P>This paper proposes a simulation-based optimization SO method that enables the efficient use of complex stochastic urban traffic simulators to address various transportation problems. It presents a metamodel that integrates information from a ...

<P>We develop practical operations research models to support decision making in the design and management of public bicycle-sharing systems. We develop a network flow model with proportionality constraints to estimate the flow of bicycles within the ...

<P>The hub-and-spoke distribution paradigm has been a fundamental principle in geographic network design for more than 40 years. One of the primary advantages that such networks possess is their ability to exploit economies of scale in transportation by ...

<P>When several individuals are asked to forecast an uncertain quantity, they often face implicit or explicit incentives to be the most accurate. Despite the desire to elicit honest forecasts, such competition induces forecasters to report strategically ...

<P>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 ...

<P>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 ...

<P>We consider cooperative traveling salesman games with nonnegative asymmetric costs satisfying the triangle inequality. We construct a stable cost allocation with budget balance guarantee equal to the Held-Karp integrality gap for the asymmetric ...

<P>In this paper we discuss multistage programming with the data process subject to uncertainty. We consider a situation where the data process can be naturally separated into two components: one can be modeled as a random process, with a specified ...

<P>We design a dynamic rate scheduling policy of Markov type by using the solution a social optimal Nash equilibrium point to a utility-maximization problem over a randomly evolving capacity set for a stochastic system of generalized processor-sharing ...