A final way to enhance the security measures is to monitor the security performance and outcomes of the supply chain, using operations research techniques, such as data analysis, statistics, or machine learning. Security monitoring can help supply chain managers to collect and analyze data from various sources, such as sensors, logs, or reports, to measure and track the security indicators, such as incidents, losses, or compliance rates, and to detect and respond to security anomalies, such as deviations, alerts, or attacks. For example, data analysis methods can help to identify and visualize the patterns and trends of security data, such as risk profiles or security audits. Statistics methods can help to estimate and infer the probability and impact of security events, such as disruptions or breaches. Machine learning methods can help to learn and predict the behavior and outcomes of security systems, such as risk factors or security scores.
Supply chain security is a vital and complex aspect of supply chain management, especially in an interconnected world. By applying operations research techniques, you can improve your security measures, standards, analysis, and monitoring, and ensure the protection and resilience of your supply chain.