An algorithm for performance evaluation of resilience engineering culture based on graph theory and matrix approach

Abstract

While strengths can be improved, when weaknesses are not addressed, the desired improvements are not achievable. Determining weaknesses and strengths is much more important when it comes to safety issues in critical industrial units. Oil, gas and petrochemical industry is the main pillar of the economy in Iran. Not only most of the oil, gas and petrochemical infrastructure in Iran are old and worn-out, but also the safety management practices are not adequate. Resilience engineering is a growing concept toward proactive and preventive safety and performance improvement in critical industrial units. This study presents a new algorithm for performance evaluation of resilience engineering culture in critical industrial units. A petrochemical plant is considered as a real-life case study to demonstrate the application of the proposed methodology. The presented algorithm is based on graph theory, statistical methods, and matrix algebra which offer some desirable properties for modeling and solving complex decision-making problems and considers the interactions between factors. To the best of our knowledge, this is the first study that proposes a performance evaluation algorithm based on graph theory and matrix approach.

Organizational resilience in the oil and gas industry: A scoping review

“… System Production Resilience capabilities Factors facilitating resilience and safety Ndubisi and Al-Shuridah (2019) Empirical Quantitative Commitment to resilience at the individual level as a dimension of mindfulness at the organizational level. System and individual Environmental and resource sustainability Resilience capabilities Not about safety Rabbani et al (2019) Empirical Quantitative Presents an algorithm for performance evaluation of resilience engineering. Resilience engineering improving safety.…”

“…One way of analyzing such findings is to place the selected studies in a continuum ranging from formal and more technological approaches to informal and relational aspects of resilience. Examples of the first kind of study are the articles by Azadeh et al, 2016 , Rabbani et al, 2019 , Thorogood, 2013 , Thorogood and Crichton, 2014 . Azadeh et al (2016) operationalizes the concepts of resilience engineering in terms of human and equipment redundancy as a factor contributing to improving system efficiency.…”

“…Azadeh et al (2016) operationalizes the concepts of resilience engineering in terms of human and equipment redundancy as a factor contributing to improving system efficiency. Rabbani et al (2019) present an algorithm for performance evaluation of resilience engineering by identifying self-organization, teamwork and awareness as decisive for system safety. Thorogood, 2013 , Thorogood and Crichton, 2014 argues that the cultivation of resilience demands formalizing processes of operational decision-making and change; making sure that workers are trained and suitable for their roles; and, maintaining skills in dealing with unexpected events by promoting training and exercises.…”

Investigating the role of stakeholder engagement for more resilient vaccine supply chains during COVID-19

“…Besides, each factor and their relations can be investigated by using digraphs. It is important to see the importance of the factors in order to focus on which factors and to see which ones need improvement to improve the system (Rabbani et al 2019 ). With this approach, complex systems can be analysed rapidly, and the relationships between factors affecting the system can be easily revealed.…”

“…Relative importance between factors r i, j can be assigned between 0 and 1 through scales as showed in Table 2 (Geetha and Sekar 2016 ; Rabbani et al 2019 ).…”