Container Terminal Logistics Computation Performance Evaluation with Great Principles of Computing and Case Study

摘要

Container terminal logistics systems (CTLS) are the typical complex logistics hubs whose operations are provided with the high nonlinearity and coupling. With the conceptual framework of computational logistics, the container logistics computation automation comprehensive perspective (CLC-ACP) is proposed based on great principles of computing (GPC). Subsequently, for a specific container terminal logistics case, we launch the logistics computation abstraction automation analysis and performance evaluation. The task latency of a job and job cluster are the focuses of attention. From the case study, we conclude that CLC-ACP can guide the design and evaluation of CTLS well, and then the agile, efficient and robust decision support model and design implement paradigm are supposed to obtain consequently.