Variance Sensitivity Analysis of Parameters for Pruning of a Multilayer Perceptron: Application to a Sawmill Supply Chain Simulation Model

Abstract

Simulation is a useful tool for the evaluation of a Master Production/Distribution Schedule (MPS). The goal of this paper is to propose a new approach to designing a simulation model by reducing its complexity. According to the theory of constraints, a reduced model is built using bottlenecks and a neural network exclusively. This paper focuses on one step of the network model design: determining the structure of the network. This task may be performed by using the constructive or pruning approaches. The main contribution of this paper is twofold; it first proposes a new pruning algorithm based on an analysis of the variance of the sensitivity of all parameters of the network and then uses this algorithm to reduce the simulation model of a sawmill supply chain. In the first step, the proposed pruning algorithm is tested with two simulation examples and compared with three classical pruning algorithms from the literature. In the second step, these four algorithms are used to determine the optimal structure of the network used for the complexity-reduction design procedure of the simulation model of a sawmill supply chain.

Un ensemble classificateur pour la classification de données dynamiques. Application à un problème de qualité d’air intérieur

“…La phase de pruning est subdivisée en deux étapes. Dans un premier temps, l'algorithme proposé par Engelbrecht est utilisé ce qui permet de rapidement simplifié la structure, et dans un deuxième temps, l'algorithme proposé par Setiono et Leow plus lent, mais plus efficace est utilisé (Thomas et al 2013b). Cette étape est également importante pour améliorer la diversité entre les différents classificateurs en vue de construire l'ensemble classificateur.…”

Prediction Model Adaptation Thanks to Control Chart Monitoring - Application to Pollutants Prediction

“…The pruning phase is performed in two steps. First, the Engelbrecht algorithm is used which allows to quickly simplify the structure and second, the Setiono and Leow algorithm is used which is slower but also more efficient (Thomas et al 2013).…”