Abstract
According to aviation statistics, most of the safety occurrences happen not in the air, but on the ground. Management of airlines and airports often consider failures to comply with safety-related regulations as important contributors to safety occurrences. To address the issue of compliance, approaches based on external regulation of the employees' behavior were proposed. Unfortunately, an externally imposed control is often not internalized by employees and has a short-term effect on their performance. To achieve a long-term effect, employees need to be internally motivated to adhere to regulations. To understand the role of motivation for compliance in ground service organizations, in this paper a formal agent-based model is proposed based on theories from social science with a wide empirical support. The model incorporates cognitive, social, and organizational aspects. The model was simulated and partially validated by a case study performed at a real airline ground service organization. The model was able to reproduce behavioral patterns related to compliance of the platform employees in this study. Based on the model, global sensitivity analysis was performed. The results of this analysis together with the simulation results were used to generate recommendations to improve compliance.
Highlights
Safety has the highest priority in aviation
The introduction of ramp Line Operations Safety Assessments (LOSA) at the ground service organization under study did not result in a decrease of the number of ground safety occurrences
To analyze the execution of Foreign Object Damage (FOD) checks, other tasks can be modeled at a higher level, represented by time intervals based on the operational statistics from the organization under study
Summary
Safety has the highest priority in aviation. commercial aviation is one of the safest modes of transportation, the ever increasing amount of traffic requires a substantial effort to decrease levels of risk. The proposed model elaborates the motivation and decision making of the platform employees concerning whether or not to perform an FOD check. In this elaboration, individual cognitive, social, and organizational factors are taken into account. The model was able to capture behavioral patterns of the platform employees and reflect the ramp LOSA statistics concerning FOD check compliance in the real ground service organization. Global sensitivity analysis was performed to identify the parameters with the highest impact on compliance The information about these parameters, combined with the simulation results, was used to formulate recommendations to improve compliance. The paper ends with conclusions and a discussion of the results
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