Paper Info
Title
Towards A Knowledge Based Support For Risk Engineering When Elaborating Offer In Response To A Customer Demand
Abstract
This paper deals with the first ideas relevant to a knowledge based support for risk engineering when answering tenders or direct customer demands. Indeed, when an offer is defined, it becomes more and more important to analyze the possibilities of: risks occurrence, their consequences and their potential avoidance. Most of the time if it is done, this analysis is conducted manually thanks to a risk expert. In this paper, we propose to assist the expert with a risk engineering aiding tool that relies on a knowledge base and which allows to define and evaluate: (i) the risk and its probability, (ii) the main risk impacts and (iii) the interests of various corrective and preventive actions (impact and probability reductions). We first detail the problem. Then we identify risk knowledge and risk processing. This allows us proposing a knowledge model relevant to the risk engineering entities and some knowledge retrieval queries to support risk engineering.
Year
DOI
Venue
2018
10.1109/IEEM.2018.8607699
2018 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEE IEEM)
Keywords
Field
DocType
Customer/supplier relation, offer elaboration, risk engineering, knowledge based system, knowledge model, case base reasoning
Task analysis,Call for bids,Knowledge-based systems,Risk analysis (engineering),Knowledge engineering,Engineering,Knowledge base,Case-based reasoning,Knowledge retrieval
Conference
ISSN
Citations 
PageRank 
2157-3611
0
0.34
References 
Authors
0
8
Name
Order
Citations
PageRank
Rania Ayachi100.34
Delphine Guillon200.34
Francois Marmier3203.71
Elise Vareilles4314.96
Michel Aldanondo512218.91
Thierry Coudert6277.91
Laurent Geneste710714.82
Yvan Beauregard832.07