An analytical framework for modeling security and drug trafficking supply chains as a complex system

Maritime drug trafficking in the Colombian Caribbean exhibits structural properties of a Complex Adaptive System (CAS), characterized by decentralized, evolving, and non-linear interactions. This study establishes a systems-based framework to analyze the adaptive behavior of illicit maritime logistics and extract intelligence for risk-based interdiction. A ten-attribute instrument was designed to quantify CAS dimensions, applied to a sample of 223 experts from military, intelligence, and academic domains. A two-round Delphi technique identified high consensus levels on adaptability, co-evolution, and distributed control as defining system traits. Clustered responses confirmed the presence of self-organization, heterogeneity, and feedback-based learning among network components. Findings were integrated into a decision-support pipeline linking perceptual signatures with spatial interdiction modeling. Critical Success Factors (CSFs), such as dynamic coordination schemes and decentralized resource allocation, were identified as operational enablers. The analysis indicates that linear enforcement doctrines remain insufficient when confronted with adaptive criminal systems. Instead, a data-informed, flexible response architecture emerges as more suitable for countering illicit maritime flows. This framework offers analytical contributions to both security strategy and public policy design. It also advances theoretical understanding by operationalizing CAS principles within the logistics of transnational organized crime.