dc.contributor.author |
Bellos, V |
en |
dc.contributor.author |
Kirytopoulos, K |
en |
dc.contributor.author |
Leopoulos, V |
en |
dc.contributor.author |
Sfantsikopoulos, M |
en |
dc.date.accessioned |
2014-03-01T02:49:14Z |
|
dc.date.available |
2014-03-01T02:49:14Z |
|
dc.date.issued |
2002 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/34430 |
|
dc.relation.uri |
http://www.scopus.com/inward/record.url?eid=2-s2.0-2942546154&partnerID=40&md5=a488bf8931b7bd7ef586a35b41af5570 |
en |
dc.subject.other |
Algorithms |
en |
dc.subject.other |
Budget control |
en |
dc.subject.other |
Decision support systems |
en |
dc.subject.other |
Fuzzy sets |
en |
dc.subject.other |
Hazards |
en |
dc.subject.other |
Information management |
en |
dc.subject.other |
Risk management |
en |
dc.subject.other |
Bidding process |
en |
dc.subject.other |
Ontology |
en |
dc.subject.other |
Risk management corporate memory (RMCM) |
en |
dc.subject.other |
Data acquisition |
en |
dc.title |
Innovative method for data collection and risk analysis during the bidding process |
en |
heal.type |
conferenceItem |
en |
heal.publicationDate |
2002 |
en |
heal.abstract |
This paper presents a method for risk assessment during the bidding process and the required data acquisition. An information system for data collection (corporate memory) and analysis (algorithm) supports the presented method. Data acquisition is based on structured risk sheets that maintain all the required information for the analysis. Processing is based on three managerial roles required by the method: The Risk Manager, the Bid Manager and the Knowledge Manager, each one using his expertise to analyse information and fill in the method's risk sheets. Risk assessment algorithm is based on two different scales in order to be adaptable to specific industrial needs. The quantitative scale assesses risks in terms of money and the qualitative in terms of an indicator. |
en |
heal.publisher |
WITPress |
en |
heal.journalName |
Management Information Systems |
en |
dc.identifier.spage |
353 |
en |
dc.identifier.epage |
362 |
en |