Integration of Functional Resonance Analysis with Multicriteria Analysis for Sociotechnical Systems Risk Management

Risk Analysis ◽  
2021 ◽  
Author(s):  
Ali Alboghobeish ◽  
Gholam Abbas Shirali
Keyword(s):  
Risk Management ◽  
Multicriteria Analysis ◽  
Sociotechnical Systems ◽  
Resonance Analysis

Analyzing common approaches of accident models for risk management in socio-technical systems

2021 ◽  
Author(s):  
M. Kiwan ◽  
D.V. Berezkin ◽  
M. Raad ◽  
B. Rasheed
Keyword(s):  
Risk Management ◽  
Complex Systems ◽  
Human Error ◽  
Practical Importance ◽  
Individual Characteristics ◽  
Sociotechnical Systems ◽  
Technical Aspects ◽  
The Social ◽  
Technical Systems ◽  
Traditional Approaches

Statement of a problem. One of the main tasks today is to prevent accidents in complex systems, which requires determining their cause. In this regard, several theories and models of the causality of accidents are being developed. Traditional approaches to accident modeling are not sufficient for the analysis of accidents occurring in complex environments such as socio-technical systems, since an accident is not the result of individual component failure or human error. Therefore, we need more systematic methods for the investigation and modeling of accidents. Purpose. Conduct a comparative analysis of accident models in complex systems, identify the strengths and weaknesses of each of these models, and study the feasibility of their use in risk management in socio-technical systems. The paper analyzes the main approaches of accident modeling and their limitations in determining the cause-and-effect relationships and dynamics of modern complex systems. the methodologies to safety and accident models in sociotechnical systems based on systems theory are discussed. The complexity of sociotechnical systems requires new methodologies for modeling the development of emergency management. At the same time, it is necessary to take into account the socio-technical system as a whole and to focus on the simultaneous consideration of the social and technical aspects of the systems. When modeling accidents, it is necessary to take into account the social structures and processes of social interaction, the cultural environment, individual characteristics of a person, such as their abilities and motivation, as well as the engineering design and technical aspects of systems. Practical importance. Based on analyzing various techniques for modeling accidents, as well as studying the examples used in modeling several previous accidents and review the results of this modeling, it is concluded that it is necessary to improve the modeling techniques. The result was the appearance of hybrid models of risk management in socio-technical systems, which we will consider in detail in our next work.

Risk management in the design of engineering projects as sociotechnical systems

2016 ◽  
Vol 4 (1-2) ◽  
pp. 85-99
Author(s):  
Bryan R. Moser ◽  
Ralph T. Wood ◽  
Kazuo Hiekata
Keyword(s):  
Risk Management ◽  
Sociotechnical Systems ◽  
Engineering Projects

scholarly journals A Proposition for Combining Rough Sets, Fuzzy Logic and FRAM to Address Methodological Challenges in Safety Management: A Discussion Paper

Safety ◽  
2020 ◽  
Vol 6 (4) ◽  
pp. 50
Author(s):  
Hussein Slim ◽  
Sylvie Nadeau
Keyword(s):  
Fuzzy Logic ◽  
Rough Sets ◽  
Safety Management ◽  
Sociotechnical Systems ◽  
Rule Base ◽  
Generation Process ◽  
Discussion Paper ◽  
Advantages And Disadvantages ◽  
Resonance Analysis ◽  
Third Phase

In recent years, the focus in safety management has shifted from failure-based analysis towards a more systemic perspective, redefining a successful or failed performance as a complex and emergent event rather than as a conclusion of singular errors or root causes. This paradigm shift has also necessitated the introduction of innovative tools capable of capturing the complex and dynamic nature of modern sociotechnical systems. In our research, we argued at previous stages for adopting a more systemic and human-centric perspective to evaluate the context of aircraft de-icing operations. The Functional Resonance Analysis Method (FRAM) was applied in the first stage for this purpose. Consequently, fuzzy logic was combined with FRAM in the second stage to provide a quantified representation of performance variability. Fuzzy logic was used as a quantification tool suitable for computing with natural language. Several limitations were found in the data collection and rule generation process for the first prototype. In the third phase, the model was further improved by integrating rough sets as a data-mining tool to generate and reduce the size of the rule base and classify outcomes. In this paper, we reflect on the three stages of the project and discuss in a qualitative manner the challenges and limitations faced in the development and application of the models. A summary of the advantages and disadvantages of the three models as experienced in our case are presented at the end. The objective is to present an outlook for future studies to address methodological limitations in the study of complex sociotechnical systems.

scholarly journals The use of resilience engineering tools for fault propagation mitigation in sociotechnical systems

2021 ◽  
Vol 16 (2) ◽  
pp. 39-73
Author(s):  
Felipe Gilberto Bratti Volken ◽  
Claudio Roberto do Rosário
Keyword(s):  
Sociotechnical Systems ◽  
High Potential ◽  
Production Functions ◽  
Plant Design ◽  
Resilience Engineering ◽  
Fault Propagation ◽  
Laboratory Control ◽  
Resonance Analysis ◽  
Concrete Production ◽  
Productive Systems

Purpose – To demonstrate an application of resilience engineering, aiming to improve productivity and quality by decreasing variability and fault propagation in the production functions of a sociotechnical system, the object of the study, in an asphalt concrete production plant. Design/methodology/approach – The approach used was the functional resonance analysis method, where experts in sociotechnical systems were interviewed, eliciting their knowledge on the aspects of interaction between production functions. The elicited knowledge was entered into FRAM Model Visualizer 0.4.1 software, which presents a graphical map of the system and allows the number of couplings (NC) to be analyzed. Findings – The analysis of the NCs highlighted that the laboratory control, burner, drum dryer, and baghouse functions showed a high potential for variability absorption, while the PLC control system and laboratory control functions have a high potential for fault propagation. Both groups were examined and measured explored within the scope of resilience engineering that enhance their roles in mitigating resilience within the system. Originality/value – The replication of the resilience engineering discussed in this article enables gains in productivity and quality in sociotechnical systems for the same segment; the application of the functional resonance analysis methodology demonstrated can benefit further studies on productive systems with interaction between people and technology. Keywords - Resilience engineering, productive systems, sociotechnical systems, FRAM.

scholarly journals Model of information risk management of a sociotechnical system based on human behavioral features

2020 ◽  
pp. 89-98
Author(s):  
Olga Korganova ◽  
◽  
Irina Panfilova ◽  
Keyword(s):  
Risk Management ◽  
Information Security ◽  
Goal Setting ◽  
Sociotechnical Systems ◽  
Behavioral Characteristics ◽  
Information Risk ◽  
Sociotechnical System ◽  
Information Processes ◽  
Risk Management System ◽  
Behavioral Features

The difficulties associated with the description and prediction of human behavior and its presence in sociotechnical systems (STS) leads to the emergence of a number of specific tasks related to ensuring the information security of STS and its integrity. The article analyzes the general and specific threats to information security that arise in the STS, considers the features of the functioning of sociotechnical systems, and also provides the logic for constructing an information risk management system implemented in the structure of the STS and taking into account behavioral characteristics of a person (goal-setting function), to ensure the safety of information processes in the STS.

Hybrid approaches of accident modeling for risk management in socio-technical systems

2021 ◽  
Author(s):  
M. Kiwan ◽  
D.V. Berezkin ◽  
A. Hamed
Keyword(s):  
Risk Management ◽  
Complex Systems ◽  
Practical Importance ◽  
Hybrid Approach ◽  
Sociotechnical Systems ◽  
High Tech ◽  
Safety Issues ◽  
New Approaches ◽  
Hybrid Approaches ◽  
Technical Systems

Statement of a problem. The increasing complexity in high-tech systems leads to potentially disastrous failure models and new kinds of safety issues. This led to the development of new approaches, for modeling accidents and risk management. In recent years, extended and hybrid approaches have been gaining popularity due to their effectiveness in decision-making for the design and operation of socio-technical systems. The proliferation of these approaches makes it difficult to select the appropriate approach for a particular system. Purpose. Conduct a comparative analysis of various hybrid approaches of accidents in complex systems, identify the strengths and weaknesses of each one, and study the feasibility of their use in risk management in socio-technical systems. Results. The paper analyzes the main approaches of accident modeling (FRAM, STAMP, failure tree, AcciMap) and their limitations in determining cause-effect relationships and dynamics of modern complex systems. New approaches to safety and accident modeling in sociotechnical systems are discussed, these approaches depend on combining several models into one hybrid approach: FuzzyFTA, FRAM-ANP, ACAT-FRAM, STAMP-HFACS, AcciMap-ANP, and SD-ET-FT-ANN. A review of hybrid approaches of accident modeling in complex systems and identify weaknesses and strengths, as well as the application field of each one of these approaches. Practical importance. This study will be a guide for researchers in the field of accident modeling and risk management in sociotechnical systems. It also concludes that it is necessary to use different approaches to risk management depending on the type of risk and the complexity of the system.

A Sociotechnical Systems Analysis of the Toronto Sars Outbreak

2005 ◽  
Vol 49 (3) ◽  
pp. 507-510 ◽  
Author(s):  
Andrea Cassano Piché ◽  
Kim J. Vicente
Keyword(s):  
Risk Management ◽  
Severe Acute Respiratory Syndrome ◽  
Vertical Integration ◽  
Systems Analysis ◽  
Sociotechnical Systems ◽  
Almost All ◽  
Health Canada

In February 2003, an outbreak of Severe Acute Respiratory Syndrome (SARS) in Toronto, Canada, resulted in 438 probable SARS cases, 44 deaths, and over 25,000 individuals quarantined. The purpose of this study was to investigate whether or not the predictions of Rasmussen's (1997) framework for risk management can explain how and why SARS was transmitted in Toronto. There are two propositions for this case study. First, multiple actions, decisions, and degrees of capability at all levels of the system are needed to explain how SARS was transmitted. Second, a lack of vertical integration between individuals and organizations explains why SARS was widely transmitted. Both propositions of this case study are supported by the data in the National Advisory Committee's report (Health Canada, 2003). Furthermore, almost all of the predictions made by Rasmussen's (1997) framework were confirmed by the events that transpired during SARS.

Hazard/threat identification: Using functional resonance analysis method in conjunction with the Anticipatory Failure Determination method

2017 ◽  
Vol 231 (4) ◽  
pp. 383-389 ◽  
Author(s):  
Anders Jensen ◽  
Terje Aven
Keyword(s):  
Risk Management ◽  
Complex Systems ◽  
Prediction Models ◽  
Accurate Prediction ◽  
Determination Method ◽  
Analysis Method ◽  
Fundamental Idea ◽  
Resonance Analysis ◽  
Identification Method ◽  
Creative Methods

An essential part of risk management is to identify possible harmful events. A number of approaches have been suggested for this purpose, including the Anticipatory Failure Determination method. The fundamental idea of Anticipatory Failure Determination is that revealing harmful events is fundamentally a creative act, and, instead of searching for possible harmful events; the strategy is rather to invent them using different kinds of creativity methods. This article addresses hazard/threat identification for complex systems, that is, systems which do not allow for accurate prediction models of the system based on knowing the specific functions and states of its individual components. Hazard/threat identification for such systems is challenging, as traditional cause and effect relationships and linear reasoning do not work. However, models and frameworks exist for analyzing such systems, the functional resonance analysis method being perhaps the most established approach. The purpose of this article is to present a new hazard/threat identification method combining Anticipatory Failure Determination and functional resonance analysis method. The method allows for using creative methods to invent potential hazards and threats in complex systems. We illustrate the method with an example.

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