A Resilience Engineering Approach for Sustainable Safety in Green Construction

Abstract

Sustainable construction is a complex endeavour, involving various stakeholders and resulting in situations that are incompletely described or underspecified. Traditional risk assessment methods require a detailed description of the system and safety, focusing on undesirable outcomes, losses, incidents and accidents. Developing this principle, this research describes a new way to deal with risk assessment in the green construction industry using a resilience engineering method based on the functional resonance analysis method and analytic hierarchy process methodologies. The functional resonance analysis method defines a systemic framework to model complex systems based on combinations of function variabilities during normal work. Therefore, to quantify the outcomes for risk assessment, this method was used together with the analytic hierarchy process in a case study during the modernisation work on the Maracanã stadium in Rio de Janeiro. The results of this case study demonstrate that the combined utilisation of the functional resonance analysis method and analytic hierarchy process can be utilised to recognise situations where developments could potentially be without control, which enables this to be used as a basis for performing indicators or a monitoring system. Furthermore, this combined technique can be used to assess and quantify the performance variabilities that may lead to occupational or environmental accidents, and provide new recommendations about how work processes should function, minimising production losses, incidents and accidents.

An analytic network process model to prioritize supply chain risks in green residential megaprojects

“…While fuzzy arithmetic can allegedly digress the judgment matrices, but as we suggested herein using a discrete fuzzy function is supposed to safely maintain the initial judgments intact that otherwise can render invalid output (Saaty and Tran 2007 ). Other approaches such as resilience engineering (Rosa et al 2017 ) are also not as comprehensive as those developed herein, either not using experts comprehensively, or not in any well-structured way processing comprehensive information and judgments on the four elements of frequency, severity, manageability, and influence. Further developments will include automating the algorithms, providing a widespread platform for use of this approach.…”

Digital engineering for resilient road infrastructure outcomes: Evaluating critical asset information requirements

“…Linear infrastructure networks are particularly vulnerable to extreme weather events [13]. Decision-makers are subsequently seeking to understand and manage risks related to climate change for infrastructure and to improve infrastructure resilience [11,14]. While traditional resilience approaches focus on increased strength and rigidity in infrastructure, there is also a growing appreciation of the need to prioritise infrastructure adaptability and flexibility [11].…”

The Analytic Functional Resonance Analysis to Improve Safety Management

“…To overcome this issue, FRAM is used together with the Analytic Hierarchy Process (AHP). Thus, it is possible to measure the subjectivity in establishing the potential variability of functions as suggested by Rosa et al [22]. The integration of FRAM-AHP is proposed also in other two works.…”