Multi-Objective Production Planning with Cybersecurity Constraints in Industrial IoT

The integration of the Industrial Internet of Things (IIoT) has increased the interdependence between production systems and cyberspace, making cybersecurity threats a critical factor in manufacturing performance.Traditional production planning methods rarely account for dynamic cyber risks, limiting their ability to ensure resilient and efficient operations.This study proposes a simulation-driven security-production collaborative optimization framework.Cyber threats are modelled through a dynamic coupling mechanism and embedded as operational constraints in a multi-objective production planning model.Based on digital twins and two-stage stochastic programming, the model simultaneously minimizes makespan, energy consumption, and cybersecurity risk.An improved multi-objective evolutionary algorithm with simulation-based evaluation is developed to assess schedule robustness under attack scenarios.The proposed framework enables systematic modelling and evaluation of resilient production planning in IIoT-enabled manufacturing environments.