Buscar
Mostrando ítems 1-10 de 1845
Robust production management
(2016)
The problem of production management can often be cast in the form of a linear program with uncertain parameters and risk constraints. Typically, such problems are treated in the framework of multi-stage Stochastic ...
A Robust Model for Protecting Road-Building and Harvest-Scheduling Decisions from Timber Estimate Errors
(2014)
Road-building and harvest-scheduling decisions are primarily based on timber estimates and forecasts that are known to contain errors. It has been shown that in the presence of constraints, decisions generated under these ...
A Robust Model for Protecting Road-Building and Harvest-Scheduling Decisions from Timber Estimate Errors
(2014)
Road-building and harvest-scheduling decisions are primarily based on timber estimates and forecasts that are known to contain errors. It has been shown that in the presence of constraints, decisions generated under these ...
Avaliação de decisões estratégicas sob incerteza profunda na indústria da manufatura aditiva : uma análise a partir do método Robust Decision Making (RDM)
(Universidade do Vale do Rio dos Sinos, 2018-01-26)
Strategic Decision Making under deep uncertainty is a relevant challenge to organizations. When the available information allows sound decision making based on predictions, traditional decision making tools based on maximum ...
Avaliação de decisões estratégicas sob incerteza profunda na indústria da manufatura aditiva : uma análise a partir do método Robust Decision Making (RDM)
(Universidade do Vale do Rio dos Sinos, 2018-01-26)
Strategic Decision Making under deep uncertainty is a relevant challenge to organizations. When the available information allows sound decision making based on predictions, traditional decision making tools based on maximum ...
Characterization of robust solutions of multi-objetive optimization models with uncertain weights: applications in a sawmill
(2018)
The use of weights in multi-objective problems is one of the simplest ways to include multiple criteria in optimization models, in what is known as a weighted-sum approach. However, the solution to these models is highly ...
Characterization of robust solutions of multi-objetive optimization models with uncertain weights: applications in a sawmill
(2018)
The use of weights in multi-objective problems is one of the simplest ways to include multiple criteria in optimization models, in what is known as a weighted-sum approach. However, the solution to these models is highly ...
How simple autonomous decisions evolve into robust behaviours?: A review from neurorobotics, cognitive, self-organized and artificial immune systems fields
(Elsevier, 2014-08-19)
Researchers in diverse fields such as in neuroscience, systems biology and autonomous robotics have been intrigued by the origin and mechanisms forbiological robustness. Darwinian evolution, in general, has suggested that ...
Multistage adaptive robust optimization for the hydrothermal scheduling problem
(PERGAMON-ELSEVIER SCIENCE LTD, 2023)
The current water scarcity faced by many countries increases the need to consider an appropriate representation of future hydro inflows in power system operation and planning models. Hydrothermal scheduling is the problem ...
Constant Depth Decision Rules for Multistage Stochastic Convex Programs
(2020-05)
In this paper, we introduce a new class of decision rules called Constant Depth Decision Rules (CDDRs) for Multistage Stochastic Convex Programs (MSCP) depending on a parame- ter Mi called the depth of the decision rules. ...