Skip to Main content Skip to Navigation
Conference papers

Knowledge-based System for Risk Engineering During the Bidding Process

Abstract : Offer elaboration, when answering to call for tenders, is a complex process, usually characterised by limited information and time restrictions. From the point of view of the bidding companies, this paper explores risk engineering regarding the activities describing the manufacturing of the product from design to delivery. Specifically, the paper proposes a knowledge base system to support the identification and analysis (probability / impact) of key risks that may arise during implementation. This risk identification takes place during the bidding stage so that the identified risks can be taken into account in the proposal. Through the proposed system, risk engineering knowledge can be capitalized and reused to support new bids. Risk engineering knowledge is structured by a unified model. For helping decision-makers in their risk engineering process, a reuse method, based on case based reasoning, is proposed to retrieve relevant knowledge. The proposed system leads to more accurate, less risky and higher confidence bids. This work can be extended to help the decision-makers model risk mitigation strategies.
Document type :
Conference papers
Complete list of metadata

https://hal-mines-albi.archives-ouvertes.fr/hal-03259366
Contributor : Imt Mines Albi Imt Mines Albi Connect in order to contact the contributor
Submitted on : Monday, June 14, 2021 - 10:06:12 AM
Last modification on : Tuesday, July 13, 2021 - 8:20:10 AM

Identifiers

Collections

`

Citation

Rania Ayachi, Élise Vareilles, Thierry Coudert, Konstantinos Kirytopoulos, Michel Aldanondo, et al.. Knowledge-based System for Risk Engineering During the Bidding Process. ESREL 2020 - 30th European Safety and Reliability Conference / PSMA15 2020 - 15th Probabilistic Safety Assessment and Management Conference, Nov 2020, Venise, Italy. pp.4438-4445, ⟨10.3850/978-981-14-8593-0_3938-cd⟩. ⟨hal-03259366⟩

Share

Metrics

Record views

30