Instituto Pedro Nunes
IPN     IPN Incubadora

Risk.IT
Forecast of continuous risk in operational context

Challenge

Every day, companies face the challenge of executing their business processes efficiently and effective, as well as to ensure your operation to be continued. In order to meet the economic requirements, companies apply
Of the domain of business process management. But, with regard to robustness and
Continuity of operations is the responsibility of other areas, such as the
risk management. Thus, the results of the analyzes may differ significantly
To the extent that economic and risk
Lead to irreconcilable improvement recommendations. 

Solution

The RISK.IT Project aims to advance the state of the art in what regards the usage of models for risk prediction and management, and also to put such models at the service of the operational efficiency of businesses. The project pursues an exciting goal: to change the current paradigm of using such models, from a “strategic” paradigm to an “operational” one, and from a login where risk analysis is “tailormade” to a new one where risk prediction and analysis is continuously evolving, in order to cope with the reality and requirements of businesses. With a particular focus in the area of transportation of hazardous materials, the project aims to make risk prediction models useful and key components in the operational management of the company. The usage of such models in the management and optimization of processes, as well as for the early detection and response to eminent risk situations, will increase the operational performance of the company, and also revolutionize the way risk management is employed in a business context.

Project Reference

2017/ 17750

Funding

Total Cost

331.914,81

IPN Cost

120.482,22

EU financial support

FEDER - 90.361,67

Duration

2016-2019

Consortium

SENTILANT - CONSULTORIA E INOVAÇÃO, LDA
Instituto Pedro Nunes - Associação para a Inovação e Desenvolvimento em Ciência e Tecnologia

Partners

 

Keywords

Risk forecast; Operational management; Logistics; Transport sector