Adaptive generation of simulation models driven by product-trajectories
type: Dataset
description: This thesis work proposes a novel method for the automatic generation of simulation code of discrete event systems. This method uses the location information of the products during operation of the system. This flow, of tuples (product id, location, time) is the input of the proposed algorithm that generates a queueing-network simulation model. This type of approach can achieve a significant time gain for the design, maintenance and on-line reconfiguration of the model. The thesis is composed on five chapters. The first chapter poses the problem and fixes the theoretical framework of the thesis. The second chapter is a literature review of the broad sense of simulation and present works using the notion of trajectories for modeling. The third chapter is to highlight the proposal of the heart of this thesis. The fourth chapter describes the generator developed. The fifth and final chapter presents the experiments and the validation of the generator.
identifier: NNT: 2011NAN10144
issued: 2026-05-28T17:40:47.045473
language: fr
modified: 2026-05-28T17:40:47.045481
contact point: Organization
  fn: CCSD
keyword: adaptative-modeling
keyword: flow-simulation
keyword: infoeu-reposemanticsdoctoralthesis
keyword: infoinfo-mocomputer-science-csmodeling-and-simulation
keyword: localisation
keyword: location
keyword: modelisation-adaptative
keyword: simulation-de-flux
keyword: theses
keyword: trajectoires
keyword: trajectories
landing page: https://theses.hal.science/tel-01746300

Adaptive generation of simulation models driven by product-trajectories
type: Distribution
format: HTML
issued: 2026-05-28T17:40:47.133011
modified: 2026-05-28T17:40:46.995409
access URL: https://theses.hal.science/tel-01746300

test_moissonnage_selune
type: Agent