Authors:
Ibtissem Chouba
1
and
Jean-Sébastier Sottet
2
Affiliations:
1
Université de Lorraine and LIST, France
;
2
LIST, Luxembourg
Keyword(s):
Regulation, Optimization, Mixed Integer Linear Program.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Business Process Management
;
e-Business
;
Enterprise Engineering
;
Enterprise Information Systems
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Languages, Tools and Architectures
;
Methodologies, Processes and Platforms
;
Model-Driven Software Development
;
Reasoning about Models
;
Software Engineering
;
Symbolic Systems
;
Systems Engineering
Abstract:
Most engineering, maintenance and operating decisions involve some aspect of Cost/risk trade-off. In this
context we will talk about the cost- risk optimization applied to information systems in the context of
application of regulations. In this paper, a conceptual model of risk based regulation, based on the existing
business and risk architecture models will be presented. Then, a conceptual cost-risk model associated with
the implementation of risk mitigating controls will be adopted and integrated into the optimization
approach. Following this cost model, a mixed-integer linear program will be described. The bi-objective
optimization of the risk-cost will then be solved with IBM ILOG CPLEX optimizer to define an optimized
solution. The result of the calculation of the optimization will serve as a help to the decision-making of the
company.