stage Stochastic Programming
Re-configuration of the Relief Network Considering Uncertain Demand and Link Failure in an Earthquake: A Multi-stage Stochastic Programming
... Disasters inevitably trigger far-reaching consequences affecting all living things and the environment. Therefore, top managers and decision-makers in disaster management seek comprehensive approaches to evaluate ...
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A multi-stage stochastic programming for condition-based maintenance with proportional hazards model
... a stage. In each stage, the value of covariate for next stage is unknown, subsequently hazard rate of the system cannot certainly determined and a decision have to be made for the control limit of ...
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A multi-stage stochastic programming model for sustainable closed-loop supply chain network design with financial decisions: A case study of plastic production and recycling supply chain
... two-stage stochastic programming approach was applied by Giarola et ...Possibilistic Programming (RPP) as a programming approach to coping with uncer- tain parameters in their ...
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A Deterministic Model to the Two-Stage Stochastic Programming of Disaster-Relief Supply Chain Transportation and Distribution Planning
... two-stage stochastic programming, disaster- relief supply chain transportation and distribution problem minimizing the overall costs consisting of the expected first- stage and second ...
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Modified L-shaped Decomposition Method with Scenario Aggregation for a Two-Stage Stochastic Programming Problem
... This paper introduces a method which is developed to solve two-stage stochastic programming problems in which first-stage region is unbounded and cannot be solved using traditional ...
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A simple randomised algorithm for convex optimisation: Application to two-stage stochastic programming
... The algorithm requires only a membership oracle for S and an approximate evaluation oracle for G( · ) (which returns an approximate function value in the queried point). We show that with high probability our algorithm ...
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A two-stage stochastic programming model for value-based supply chain network design
... a stochastic mixed integer linear programming model for a value-based supply chain network design in which decisions on physical ow (raw materials and nished products) and nancial ow are ...two-stage ...
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A Two Stage Stochastic Programming Model of the Price Decision Problem in the Dual-channel Closed-loop Supply Chain
... network, and finally integrated forward/reverse logistics network [1]. A comprehensive review of reverse and integrated logistics can be found in (Fleischmann [2]; Pokharel and Mutha [6]; Govindan [8]). In this paper, we ...
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Two-stage stochastic programming model for capacitated complete star p-hub network with different fare classes of customers
... than previous EMSR. The problem of seat allocation in the form of multiple fare classes has been studied by many researchers. Curry (1990), Wollmer (1992), Brumelle and McGill (1993) provided several static models with ...
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Applications of inexact programming methods to waste management under uncertainty: current status and future directions
... inexact programming methods have been developed and applied increasingly to waste management problems under ...inexact programming techniques in supporting waste ...inexact programming methods can be ...
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A Literature Review of Stochastic Programming and Unit Commitment
... first stage, units are selected to meet the expected load during each hour based on generators’ operating costs and ...second stage, power outputs of committed units are decided to meet the actual load ...
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Stochastic dynamic programming methods for the portfolio selection problem
... dynamic programming (ADP) algorithms, where we include Conditional-Value-at-Risk (CVaR) as a measure of risk, for dif- ferent separable functional approximations of the value ...multi- stage ...
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Risk analysis of sourcing problem using stochastic programming
... In our developed MILP optimization model, CVaR is used to produce robust rst-stage decisions in which the loss cost in the second-stage is to be minimized. Rockafellar and Uryasev [19] show CVaR can enter ...
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Integrated planning for blood platelet production: a robust optimization approach
... two-stage stochastic programming approach and robust optimization, which carries simplicity as well as flexibility as its ...or stochastic programming individually while benefiting from ...
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Ontology development of metacognitive support system for novice programmers (MSSNP)
... as programming strategies, before connecting them to a middle-level concept, such as object oriented programming and drill down to polymorphism as the specialization ...
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Three - Stage Stochastic Multivariate Stratified Sample Survey
... three-stage multivariate stratified sample surveys is converted into equivalent deterministic form by using Chance constraint programming and modified E-model. Furthermore the researchers can use these ...
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A New and Flexible Approach to the Analysis of Paired Comparison Data
... where the supremum is taken over all matrices that satisfy strong stochastic transitivity. They also show that if the true model was LST then, under some regularity conditions, the upper bound in (24) can be ...
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Approximate Dynamic Programming with Parallel Stochastic Planning Operators
... dynamic programming methods store a set of value estimates that cover multiple states, or state-action pairs rather than a full look up table storing a value for each state-action ...
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Stochastic Goal Programming and a Metaheuristic for Scheduling of Operating Rooms
... two- stage hybrid flow shop model for allocation scheduling. The first stage of the flow shop accounts for the surgical duration in the OR plus time spent cleaning after the procedure, and the second ...
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Approximate Dynamic Programming with Parallel Stochastic Planning Operators
... dynamic programming) using function approximation or state aggregation; or (ii) build a model of the environment from ...Parallel Stochastic Planning Operators (P-SPOs), a novel form of planning operator ...
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