A generalized computational model for container terminal logistics systems with the perspective of multiprocessor system-on-chip

The systematic solution to integral scheduling for container terminal logistics systems (CTLS) has been scarce for their high complexity and randomness. In this paper, a generalized computational model for CTLS is presented. That considers the problem from the comparability between CTLS and multi-processor system-on-chip (MPSoC), and then gives definitions of the generalized computation, unified instruction set architecture and generalized computational instruction set for CTLS with the insights into MPSoC. Subsequently it focuses on the asynchronous concurrent computational model, parallel programming model and task scheduling model for CTLS to form a self-contained decision-making perspective and architecture. Finally, the approach is demonstrated by a practical case on the large-scale CTLS to be valid and credible.