Abstract

The volatile global shipping market puts forward the higher requirements to the container terminal logistics systems (CTLS) than ever, especially in terms of programming, planning, scheduling and decision. The computational logistics provide a systematic methodology to overcome the issues that differs from traditional approaches distinctly. This paper discusses the theoretical framework, important components and core concept of computational logistics, and then presents the container terminal logistics generalized computation design, implement, execution, analysis and evaluation hierarchy (LGC-DIE-AEH) by the integration of the computational lens and computing principles to explore the computational logistics in the field of CTLS. Subsequently, the execution performance of a quay crane farm at a regional container hub terminal in China is analyzed and evaluated by LGC-DIE-AEH. The crane performance evaluation core indicator framework (CPE-CIF) is proposed by the fusion of the design philosophy and underlying principles of computing architecture, operating system, and virtual machine by computational lens. The CPE-CIF help us to find out the advantages, disadvantages and improvement directions of quay crane farm operation. That illustrates and verifies the feasibility and credibility of LGC-DIE-AEH from the perspective of the practice of container terminal decision-making support at the tactical level.

Highlights

  • The container terminal is the core full duplex container transportation service hub nodes in the hierarchical and multistage logistics network all over the world

  • The computational logistics is a programming, planning, scheduling and decision-making support methodology for complex logistics systems proposed by Bin Li on the 54th IEEE Conference on Decision and Control in 2015 preliminarily

  • The definition of computational logistics is made demonstrably by the transferring, integration and fusion the four of computational thinking, theory of computation, computational lens and great principles of computing, which are abbreviated to 4CTTLP

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Summary

INTRODUCTION

The container terminal is the core full duplex container transportation service hub nodes in the hierarchical and multistage logistics network all over the world. The vigorous development of computer systems and the emergence of computational thinking supply the better computing power for the PDP-SAD of CTLS than ever, and provide a possibility of finding a new path to obtain a research method different from previous that covers operational programming, intelligent optimization, system simulation etc. It is no other than computational logistics.

COMPUTATIONAL LENS AND GREAT PRINCIPLES OF COMPUTING
COMPUTATIONAL LENS
GREAT PRINCIPLES OF COMPUTING
CORNERSTONE OF COMPUTATIONAL LOGISTICS
LOGISTICS GENERALIZED COMPUTATION FOR CONTAINER TERMINALS
COMPUTABILITY OF LOGISTICS GENERALIZED COMPUTATION FOR CONTAINER TERMINALS
CONTAINER TERMINAL ORIENTED LOGISTICS GENERALIZED COMPUTING THEORY
CONTAINER TERMINAL LOGISTICS ABSTRACTION AND AUTOMATION HIERARCHY
LOGISTICS GENERALIZED COMPUTATION CORE ATTRIBUTES FOR CONTAINER TERMINAL
COMPUATIONAL LENS FOR CONTAINER TERMINAL
GREAT PRINCIPLES OF COMPUTING FOR CONTAINER TERMINAL
CONTAINER TERMINAL LOGISTICS GENERAILIZED COMPUTING SCENARIO
CENTRAL HANDLING COMPUTATIONAL UNIT KEY PARAMETERS AND TASK ANALYSIS
CENTRAL HANDLING COMPUTATIONAL UNIT FARM LGC-CT RUNNING EFFICIENCY
CENTRAL HANDLING COMPUTATIONAL UNIT FARM CLUSTER ANALYSIS
CENTRAL HANDLING COMPUTATIONAL UNIT FARM EXECUTIVE PARALLELISM
CONCLUSION
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