A parallel computing model for container terminal logistics

Abstract

Existing planning and scheduling solutions for container terminal logistics systems (CTLS) are not sufficient today due to the highly complexity and uncertain environments. This paper reviews the advantages and shortcomings of the existing solutions and proposes a container terminal conceptual parallel computing model for scheduling and execution based on multi-processor systems. It is built on the computational architecture and fundamental …