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Two hedging points policy for an unreliable manufacturing system

Ryszarda Rempała (2002)

Applicationes Mathematicae

This paper deals with an unreliable manufacturing system in which limited backlog is allowed. An admissible production policy is described by two decision parameters: upper and lower hedging points. The objective is to find the optimum hedging points so as to minimize the long run average expected cost under an additional condition. The condition expresses a constraint for the limiting probability of the event that the system stays at the lower hedging point, which corresponds to a limit of backlog....

Un algorithme GRASP pour le problème de planification de techniciens et d'interventions pour les télécommunications

Sylvain Boussier, Hideki Hashimoto, Michel Vasquez, Christophe Wilbaut (2009)

RAIRO - Operations Research

Le problème de planification de techniciens et d'interventions pour les télécommunications (TIST pour Technicians and Interventions Scheduling Problem for Telecommunications) comprend la planification d'interventions et l'affectation d'équipes de techniciens à ces interventions. Chaque intervention est caractérisée, entre autres, par une priorité. L'objectif de ce problème est de séquencer les interventions en tenant compte de leur priorité tout en satisfaisant un ensemble de contraintes comme...

Un algoritmo interactivo basado en la distancia del máximo ponderado.

Carlos González Martín (1987)

Trabajos de Investigación Operativa

A partir de las preferencias locales del decisor, emitido bajo la forma de ciertos niveles de satisfacción para los objetivos, construimos un algoritmo interactivo que genera puntos eficientes de equilibrio, en los que se minimiza la distancia del máximo ponderado entre la región factible y el punto ideal. Para este algoritmo hemos probado la convergencia.

Un couplage entre un algorithme génétique et un modèle de simulation pour l'ordonnancement à court terme d'un atelier discontinu de chimie fine

Philippe Baudet, Catherine Azzaro-Pantel, Luc Pibouleau, Serge Domenech (2010)

RAIRO - Operations Research

In this paper, a discrete-event simulation model is coupled with a genetic algorithm to treat highly combinatorial scheduling problems encountered in a production campaign of a fine chemistry plant. The main constraints and features of fine chemistry have been taken into account in the development of the model, thus allowing a realistic evaluation of the objective function used in the stochastic optimization procedure. After a presentation of problem combinatorics, the coupling strategy is then...

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