A Hybrid Model of Agile and Resilient Logistics in Police Organizations Using the Thematic Analysis Method

Today, the geographical distribution of crime, particularly in Tehran, is so unpredictable that accurately predicting its location and timing has become impossible. Consequently, the utilization of proactive and retrospective models has become essential for the prevention police, ensuring their ability to maintain maximum proactive and reactive operational power. In this context, logistics serves as a pivotal element supporting police missions and operations, thereby playing a significant role in enhancing the overall performance of the preventive police and establishing sustainable security. Given the nature and sensitivity of the prevention police mission, it is inevitable to encounter insecure factors that frequently manifest as sudden and unexpected disruptions. These disruptions can range from natural disasters, fires, and cyberattacks to economic shocks, illegal gatherings, violent crimes, and drug-related incidents. Consequently, there is a pressing need for the preventive police logistics system to embrace novel approaches and strategies in order to effectively adapt to the dynamic and varied nature of the police mission environment. Due to the nature and sensitivity of police organizations' missions, the utilization of logistics-based approaches that facilitate fast and agile movement, as well as logistics recovery during crises and disruptions, is crucial for effective logistics management in these organizations. Therefore, the objective of this research is to propose a hybrid model for agile and resilient logistics in police organizations.