A Framework for Quantitative Assessment of Socio-Technical Resilient Systems using Multiple Criteria Decision Making (MCDM): A Case Study in an Oil Site Gholam Abbas Shirali, (*Corresponding author), Associate Professor, Occupational Safety and Health Engineering, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran. shirali@ajums.ac.ir Yaser Tahmasebi Birgani, Assistant Professor, Environmental Health Engineering, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran. Davood Afshari, Associate Professor, Occupational Safety and Health Engineering, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran. Liela Mohammad Salahi, B.Sc., Department of Health, Safety and Environment of NIOPDC, Ahvaz, Iran. Abstract Keywords Resilience Safety Risk Assessment Cocio-technical Received: 2019-04-23 Accepted: 2020-03-18 Background: Today, the major problem in the feld of industrial safety is that most traditional risk assessment and safety management methods alone do not meet the needs of modern technologies and complex industries. In other words, traditional methods, such as risk analysis and probability safety assessment, are in practice capable of do not provide many of the solutions needed for today's industries. Tere are various reasons for this claim, the most important of these reasons are their roots in the very simple models of the incident as a cause-efect chain. Terefore, there is an urgent need for new approaches in risk assessment and safety management, and resilience engineering (RE) has been proposed as a remedy to satisfy that need. Resilience Engineering is the new window which uses the insights from research on failures in complex systems, organizational contributors to risk, and human performance to develop engineering practices including measures of sources of resilience, decision support for balancing production/safety tradeofs, and feedback loops that enhances the organization’s ability to monitor/revise risk models and to target safety investments. Terefore, RE was defned as: "Te intrinsic ability of a system to adjust its functioning prior to, during, or following changes and disturbances, so that it can sustain required operations under both expected and unexpected conditions."However, the purpose of this study is to provide a framework for assessing the resilience of socio-technical systems based on the Multi Criteria Decision Making (MCDM). Methods: In this research, afer identifying the indicators of resilience through reviewing the literature and interviewing experienced industry experts, information on these indicators in the operating units of the industry was obtained through a semi-structured interview with 16 experienced operators whose average working experience was more than 10 years. Semi-structured interview is a meeting in which the interviewer does not strictly follow a formalized list of questions. Tey will ask more open-ended questions, allowing for a discussion with the interviewee rather than a straightforward question and answer format. Interview topics included bufering capacity with 29, safety margins with 24, system tolerance with 10, cross-scale interactions with 5, learning from accidents, incidents and normal works with 16, system fexibility with 24, anticipation of expected and unexpected events with 6, attention to problems in the system with 10 and proper and timely response to them with 11 Iran Occupational Health Iran Occupational Health. 2020 (12 Dec);17:57. Original Article http://ioh.iums.ac.ir Downloaded from ioh.iums.ac.ir at 5:12 IRST on Thursday November 25th 2021