Lionel Amodeo

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Batch deterministic and stochastic Petri nets are introduced as a tool for modeling and performance evaluation of supply chains. The new model is developed by enhancing deterministic and stochastic Petri nets (DSPNs) with batch places and batch tokens. By incorporating stochastic Petri nets (SPNs) with the batch features, inhibitor arcs, and(More)
0377-2217/$ see front matter 2009 Elsevier B.V. A doi:10.1016/j.ejor.2009.06.031 * Corresponding author. E-mail address: (F. Dugar 1 This works is supported by the Region of Champag Social Fund. This paper focuses on the multi-objective resolution of a reentrant hybrid flow shop scheduling problem (RHFS). In our case the two(More)
In mobile sensor networks, it is important to manage the mobility of the nodes in order to improve the performances of the network. This paper addresses the problem of single target tracking in controlled mobility sensor networks. The proposed method consists of estimating the current position of a single target. Estimated positions are then used to predict(More)
This paper presents ACO_GLS, a hybrid ant colony optimization approach coupled with a guided local search, applied to a layout problem. ACO_GLS is applied to an industrial case, in a train maintenance facility of the French railway system (SNCF). Results show that an improvement of near 20% is achieved with respect to the actual layout. Since the problem is(More)
In this paper, an Ant Colony Optimization Algorithm (ACO) is proposed for operations of steady flow gas pipeline. The system is composed of compressing stations linked by pipe legs. The decisions variables are chosen to be the operating turbo compressor number and the discharge pressure for each compressing station. The objective function is the power(More)