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Displaying 241 –
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A previous paper by the same authors presented a general theory solving (finite horizon) feasibility and optimization problems for linear dynamic discrete-time systems with polyhedral constraints. We derived necessary and sufficient conditions for the existence of solutions without assuming any restrictive hypothesis. For the solvable cases we also provided the inequative feedback dynamic system, that generates by forward recursion all and nothing but the feasible (or optimal, according to the cases)...
In classic data envelopment analysis models, two-stage network structures are studied in cases in which the input/output data set are deterministic. In many real applications, however, we face uncertainty. This paper proposes a two-stage network DEA model when the input/output data are stochastic. A stochastic two-stage network DEA model is formulated based on the chance-constrained programming. Linearization techniques and the assumption of single underlying factor of the data are used to construct...
In this work we describe some strategies that have been proved to be very efficient for solving the following type of scheduling problems: Assume a set of jobs is to be performed along a planning horizon by selecting one from several alternatives for doing so. Besides selecting the alternative for each job, the target consists of choosing the periods at which each component of the work will be done, such that a set of scheduling and technological constraints is satisfied. The problem is formulated...
A risk measure in a portfolio selection problem is linear programming (LP) solvable, if
it has a linear formulation when the asset returns are represented by discrete random
variables, i.e., they are defined by their realizations under specified
scenarios. The efficient frontier corresponding to an LP solvable model is a piecewise
linear curve. In this paper we describe a method which realizes and produces a tangency
portfolio as a by-product during...
A risk measure in a portfolio selection problem is linear programming (LP) solvable, if
it has a linear formulation when the asset returns are represented by discrete random
variables, i.e., they are defined by their realizations under specified
scenarios. The efficient frontier corresponding to an LP solvable model is a piecewise
linear curve. In this paper we describe a method which realizes and produces a tangency
portfolio as a by-product during...
Nous proposons ici un modèle de Tarification basé sur une extension du formalisme des Jeux Coopératifs et qui prend en compte la notion d’Élasticité de la Demande. Nous présentons pour ce modèle un résultat d’existence ainsi qu’un algorithme de calcul associé. Nous interprétons enfin ce nouveau concept dans le cas d’un problème de production et nous le prolongeons au cas d’un problème de transport.
We propose here a pricing Model which is an extension of the Cooperative Game concept and
which includes a notion of Elastic Demand. We present some existence results as well as some
algorithms. We conclude by discussing this model in the context of some Production and
Transportation problems.
A new methodology for the design of filters that permits failure detection and isolation of dynamic systems is presented. Assuming that the normal and the faulty behavior of a process can be modeled by two linear systems subject to inequality bounded perturbations, a method for the on-line implementation of a test signal, guaranteeing failure detection, is proposed. To improve the fault detectability of the dynamic process, appropriate test signals are injected into the system. All the computations...
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