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

Water reservoirs are considered very important storage facilities for the condition of peak demand in the agriculture industry. The construction process of a water reservoir may be accompanied by multiple risks. This study is aimed at identifying the emerging risks resulting from variability in different functions and at prioritizing them based on the analytical hierarchy process (AHP) method. In fact, the potential variability (emerging risks), possible dependencies/couplings, and the barriers used for damping this variability were assessed using Functional Resonance Analysis Method (FRAM). The AHP method was then applied to prioritize the various functions. The results of FRAM modeling indicated that there was the possibility of a high variability in five functions. In this context, the AHP findings showed that initial studies on the construction of the pool with the weight of 0.310 and excavation with the weight of 0.308 were the most important functions in this study. In addition, the results of this study demonstrated that AHP may be a desired alternative for the identification of performance variability and the aggregation of variability.

Automated summary

This study identified emerging risks in the construction process of water reservoirs and prioritized them using the Analytical Hierarchy Process (AHP) method. The results showed that initial studies on the construction of the pool and excavation were the most important functions in this study. The study also demonstrated that AHP may be a desired alternative for identifying performance variability and aggregating variability.