Knowledge retrieval for configuring risks when answering calls to tenders or direct customer demands - IMT Mines Albi-Carmaux
Communication Dans Un Congrès Année : 2018

Knowledge retrieval for configuring risks when answering calls to tenders or direct customer demands

Élise Vareilles
François Marmier
Michel Aldanondo
Thierry Coudert
Laurent Geneste

Résumé

This short article provides the first ideas and results about the configuration of risks when answering tenders or direct customer demands. Indeed, when an offer is defined, it becomes more and more important to analyze possibilities of risks occurrence and their consequences. Most of the time, this analysis is conducted manually thanks to a risk expert. In this paper, we propose to assist the expert with a risk configuration tool that relies on a knowledge base and that allows to define and evaluate: (i) the risk probability, (ii) the main risk impacts and (iii) the interests of various corrective and preventive actions to mitigate it. We first detail the problem. Then we propose a generic model of risks for calls for tenders. Then we describe some knowledge retrieval queries that support the configuration of risk characteristics. As preliminary studies, we will not be able to discuss hard theoretical results but should be able to show a nice a demo of a first software prototype.
Fichier principal
Vignette du fichier
16_CONFWS18_paper_20.pdf (456.38 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01907676 , version 1 (07-11-2018)

Identifiants

  • HAL Id : hal-01907676 , version 1

Citer

Rania Ayachi, Delphine Guillon, Élise Vareilles, François Marmier, Michel Aldanondo, et al.. Knowledge retrieval for configuring risks when answering calls to tenders or direct customer demands. ConfWS 2018 - 20th Configuration Workshop, Sep 2018, Graz, Austria. p.99-102. ⟨hal-01907676⟩
112 Consultations
66 Téléchargements

Partager

More