Abstract
This paper addresses risk identification and assessment in network based enterprise collaborations, such
as VOs or VEs, and proposes a fuzzy logic based system for risk analysis and evaluation. Risk factors are
identified with respect to the four stages in a collaboration’s life cycle: pre-creation, creation, operation
and termination. A fuzzy logic based algorithm for collaboration risk evaluation is developed to assess
these perceived risk factors. Each risk is described by a probability of risk and a risk impact. Both
measures are specified in imprecise linguistic terms and modelled by fuzzy sets. Later the algorithm is
embedded into a prototype web service, the Collaboration Risk Evaluator (CRE), implemented to identify
risks, provide fuzzy risk assessment and facilitate control of the risk propagation in an enterprise
collaboration. We have validated the CRE using test cases. Also, it is integrated in a real life online system
supporting SMEs in the automotive industry
Original language | English |
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Pages (from-to) | 739-748 |
Journal | Computers in Industry |
Volume | 63 |
Issue number | 8 |
DOIs | |
Publication status | Published - Sep 2012 |
Bibliographical note
This paper is not available on the repositoryKeywords
- Risk factors
- Risk identification
- Risk evaluation
- Fuzzy logic
- Enterprise collaboration