An Immune Based Ontology Implementation of Hazard and Operability Analysis in Production Systems
| Autor: | Saber Darmoul, Nawel Bayar, Henri Pierreval, Sonia Hajri-Gabouj |
|---|---|
| Přispěvatelé: | Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes (LIMOS), Ecole Nationale Supérieure des Mines de St Etienne (ENSM ST-ETIENNE)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), Ecole Nationale Supérieure des Mines de St Etienne-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS) |
| Rok vydání: | 2014 |
| Předmět: |
Hazard (logic)
Engineering Operability Hazard and operability study business.industry Control (management) General Medicine Reuse Ontology (information science) [SPI]Engineering Sciences [physics] Risk analysis (engineering) Systems engineering Production (economics) [INFO]Computer Science [cs] Enterprise information system business |
| Zdroj: | Applied Mechanics and Materials. 575:884-894 |
| ISSN: | 1662-7482 |
| Popis: | In production systems, HAZOP is an example of such approaches that were suggested to identify, analyze, assess and control industrial risks. Unfortunately, HAZOP is not supported by methodological guidelines to implement it. Also, HAZOP does not rely on core concepts that allow the design of computerized toolkits that could be integrated within enterprise information systems to store and reuse knowledge stemming from the implementation of HAZOP projects. In this paper, we suggest an artificial immune based methodology to assist experts in implementing HAZOP projects. Through a case study, we show how immune concepts can provide both methodological guidance and computerized support in order to backbone expert efforts, and to capture risk related knowledge generated through each step of a HAZOP study. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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