A Real-Time Regulation Model in Multi-agent Decision Support System for Open Pit Mining

Abstract

This paper deals with the real-time regulation of traffic within a disrupted transportation system of a large open pit mine. We outline the necessity of a decision support system that detects, analyzes, and resolves the unpredicted disturbances. Due to the distributed aspects of transportation systems, we present a multi-agent approach for the regulation process. Moreover, this approach also includes a genetic algorithm for a programming model of the real time rescheduling problems. The genetic algorithm then treats the rescheduling problem as an optimization and provides the regulator with relevant decisions that can result in a partial reconfiguration of the transportation system.