Container Terminal Logistics Scheduling and Decision-making within the Conceptual Framework of Computational Thinking

The optimal paradigm and systematic solution to scheduling and decision-making for container terminal logistics systems (CTLS) have been scarce owing to their high nolinear and complexity and the strong coupling and randomness. In this paper, the concept of computational logistics for CTLS is proposed above all, and then the instruction sets, resource constraints, and operating environments for CTLS abstract machines are defined on the basis of the similarities and differences between computer systems and CTLS. Subsequently, CTLS are discussed from the perspective of asymmetric single-ISA multi-core processors (AMP) in detail within the conceptual framework of computational logistics and generalized computing. Consequently, a container terminal computational logistics model is presented with computing architecture and central properties of AMP. Finally, the proposed approach is demonstrated and validated by investigating through capacity, task latency and load balancing of a typical container terminal logistics service case with a comprehensive scheduling algorithm that is a composite of multifarious classical decision thinking and algorithms.