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with stochastic demands

by Jorge E. Mendoza, Juan G. Villegas , 2011
"... multi-space sampling heuristic for the vehicle routing problem ..."
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multi-space sampling heuristic for the vehicle routing problem

Resource allocation with stochastic demands

by Fangfei Chen , Thomas La Porta , Mani B Srivastava - in Proceedings of the 2012 IEEE 8th International Conference on Distributed Computing in Sensor Systems, DCOSS ’12 , 2012
"... Abstract-Resources in modern computer systems include not only CPU, but also memory, hard disk, bandwidth, etc. To serve multiple users simultaneously, we need to satisfy their requirements in all resource dimensions. Meanwhile, their demands follow a certain distribution and may change over time. ..."
Abstract - Cited by 3 (1 self) - Add to MetaCart
. Our goal is then to admit as many users as possible to the system without violating the resource capacity more often than a predefined overflow probability. In this paper, we study the problem of allocating multiple resources among a group of users/tasks with stochastic demands. We model it as a

manufacturing systems with stochastic demand

by Feng Zhang, Robin Roundy, Woonghee Tim Huh , 2001
"... We consider a discrete-time capacity expansion problem involving multiple product families, multiple machine types, and non-stationary stochastic demand. Capacity expansion decisions are made to strike an optimal balance between investment costs and lost sales costs. Motivated by current practices i ..."
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We consider a discrete-time capacity expansion problem involving multiple product families, multiple machine types, and non-stationary stochastic demand. Capacity expansion decisions are made to strike an optimal balance between investment costs and lost sales costs. Motivated by current practices

Industry Dynamics with Stochastic Demand

by James Bergin, Dan Bernhardt , 2006
"... We study the dynamics of an industry subject to aggregate demand shocks where the produc-tivity of a firm’s technology evolves stochastically over time. Each period, each firm, given the aggregate demand shock, the productivity of its technology, and the distribution of technology productivities in ..."
Abstract - Cited by 3 (0 self) - Add to MetaCart
We study the dynamics of an industry subject to aggregate demand shocks where the produc-tivity of a firm’s technology evolves stochastically over time. Each period, each firm, given the aggregate demand shock, the productivity of its technology, and the distribution of technology productivities

Optimal Dynamic Pricing of Inventories with Stochastic Demand over Finite Horizons

by Guillermo Gallego, Garrett Van Ryzin - MANAGEMENT SCIENCE , 1994
"... ..."
Abstract - Cited by 254 (9 self) - Add to MetaCart
Abstract not found

On Specification and Identification of Stochastic Demand Models

by Walter Beckert , 2003
"... This paper is concerned with stochastic demand systems that arise from structural random utility models for J continuous choice variables. It examines under which conditions on the structural preference specification the implied reduced form model is invertible. And it investigates the conditions un ..."
Abstract - Cited by 6 (3 self) - Add to MetaCart
This paper is concerned with stochastic demand systems that arise from structural random utility models for J continuous choice variables. It examines under which conditions on the structural preference specification the implied reduced form model is invertible. And it investigates the conditions

Approximation Algorithms for VRP with Stochastic Demands

by Anupam Gupta, Viswanath Nagarajan, R. Ravi
"... We consider the vehicle routing problem with stochastic demands (VRPSD). We give randomized approximation algorithms achieving approximation guarantees of 1 + α for split-delivery VRPSD, and 2 + α for unsplit-delivery VRPSD; here α is the best approximation guarantee for the traveling salesman probl ..."
Abstract - Cited by 2 (1 self) - Add to MetaCart
We consider the vehicle routing problem with stochastic demands (VRPSD). We give randomized approximation algorithms achieving approximation guarantees of 1 + α for split-delivery VRPSD, and 2 + α for unsplit-delivery VRPSD; here α is the best approximation guarantee for the traveling salesman

Revealed Preference with Stochastic Demand Correspondence♦

by Indraneel Dasgupta, Indraneel Dasgupta , 2007
"... We unify and expand the theory of consumer’s behavior, based on Samuelson’s Weak Axiom of Revealed Preference, to permit simultaneously both random choice and non-singleton choice sets. We provide a consistency postulate for demand behavior when such behavior is represented in terms of a stochastic ..."
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We unify and expand the theory of consumer’s behavior, based on Samuelson’s Weak Axiom of Revealed Preference, to permit simultaneously both random choice and non-singleton choice sets. We provide a consistency postulate for demand behavior when such behavior is represented in terms of a stochastic

Convergence Results for Vehicle Routing Problems with Stochastic Demands

by Dennis Weyland, Roberto Montemanni, Luca Maria Gambardella, Dennis Weyland, Roberto Montemanni, Luca Maria Gambardella , 2011
"... In this work we investigate two variants of the Stochastic Vehicle Routing Problem: The Vehicle Routing Problem with Stochastic Demands and the Vehicle Routing Problem with Stochastic Demands and Customers. We show that under some moderate conditions there is an asymptotic equivalence between the Ve ..."
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In this work we investigate two variants of the Stochastic Vehicle Routing Problem: The Vehicle Routing Problem with Stochastic Demands and the Vehicle Routing Problem with Stochastic Demands and Customers. We show that under some moderate conditions there is an asymptotic equivalence between

Unit commitment problem with stochastic demand

by Takayuki Shiina - Journal of Computations & Modelling , 2012
"... The unit commitment problem is a typical scheduling problem in an electric power system. The problem is determining the schedules for power generating units and the generating level of each unit. The decisions concern which units to commit during each time period and at what level to generate power ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
to meet the electricity demand. In this pa-per we develop a stochastic programming model which incorporates the uncertainties of electric power demand. It is assumed that demand un-certainty can be represented by a scenario tree. We propose a stochastic integer programming model in which the objective
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