Unraveling Complexity: FRAM Applications in Sociotechnical Systems Safety Analysis

The Functional Resonance Analysis Method (FRAM) is widely recognized as a robust tool for modeling sociotechnical systems, where humans and technology collaborate to achieve predefined objectives. While FRAM is not exclusively designed solely for system safety and human factors modeling, models generated using the FRAM approach prove invaluable in this regard within complex systems. To construct a FRAM model, the system is dissected into its functions and activities. Subsequently, interactions among these functions are described across six critical aspects: Time, Preconditions, Resources, Control, Inputs, and Outputs. Performance variability emerges as a pivotal concept within FRAM, illustrating how fluctuations in functionality can result in both desirable and undesirable outcomes. Functional resonance occurs when the performance variability of two interconnected functions amplifies variations within the working system. Accidents become more likely when either the variability of a function is excessively high or when functional resonance occurs. In this chapter, we offer a comprehensive explanation of FRAM fundamentals and the implementation process. This is followed by an analysis of a case study demonstrating the practical application of FRAM. The case study centers on a real confined space accident that occurred in a petrochemical company in 2018. This case underscores how variability within the work permit system propagates across downstream functions, ultimately resulting in the tragic death of an employee. Drawing from the insights gained through FRAM analyses, we propose control measures to prevent such accidents from occurring in the future. In this regard, safety-based endeavors can create synergy with other organizational efforts and learn from normal work to establish more resilient systems.