Publication type: Conference paper
Type of review: Not specified
Title: Operationalization of an ISO 31000-compliant resilience engineering method, applied to the temperature control in a smart building
Authors: Lopez de Obeso, Luis
Mock, Ralf Günter
Zipper, Christian
Proceedings: Proceedings of the 6th International Disaster and Risk Conference, : IDRC Davos 2016, Extended Abstract Collection, Integrative Risk Management - towards resilient cities, 28 August - 01 September
Page(s): 393
Pages to: 397
Conference details: 6th International Disaster and Risk Conference (IDRC Davos 2016), Davos, 28 August - 1 September 2016
Issue Date: 2016
Publisher / Ed. Institution: Global Risk Forum
ISBN: 978-3-9524695-0-7
Language: English
Subjects: ISO 31000; Internet of Things; Smart building; Resilience engineering
Subject (DDC): 004: Computer science
690: Building and construction
Abstract: In response to the increased complexity of socio-technical systems, risk management strategies become accordingly complex and their associated risk engineering approaches are stretched to their practical and methodological limits, as is the case of the Failure Mode and Effects Analysis (FMEA). In recent years resilience engineering has emerged as the discipline to close this complexity gap. This contribution links the principles of the novel Functional Resonance Analysis Method (FRAM) and FMEA, a well-established method, in order to propose a feasible approach to manage system complexity and achieving thus an ISO 31000-compliant approach to operationalize resilience engineering. For this purpose, the case study of temperature control in smart buildings was selected to mirror the increase of complexity of a socio-technical system. The combined FRAM-FMEA method was successfully applied and yielded results above the single application of the respective methods. The results of the case study show that during normal operation conditions temperature control on small buildings operates safely, being only vulnerable to extreme weather patterns and contradicting behavior among users. However, with the introduction of Internet of Things (IoT) the system becomes vulnerable to IT threats that can gravely endanger the system. On the methodological level, the results show that the combined method is suitable to semi-quantitatively assess resilience: it shows where the system can fail and what could it happen. While it inherits some of the limitations of the original methodologies, its application makes resilience analyses more efficient. It can be then concluded that FRAM can accurately describe small sociotechnical systems (<20 analyzed functions) but it may be challenging to apply for large projects (e.g. critical infrastructures). Nonetheless FRAM demonstrated to be a useful communication tool with experts and combined with FMEA, a practical semi-quantitative approach to resilience engineering.
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Sustainable Development (INE)
Appears in collections:Publikationen School of Engineering

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