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Modeling And Simulation Of Container Terminal Logistics System Based On Harvard Architecture

Posted on:2010-04-13Degree:DoctorType:Dissertation
Country:ChinaCandidate:B LiFull Text:PDF
GTID:1119360302981985Subject:Mechanical Manufacturing and Automation
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Container shipping is a kind of high-efficiency and large-scale transportation mode, which constitutes the base of international logistics system together with information network. Container terminal logistics system (CTLS) whose operational object is the container is the highly complex logistics system, which is made up of handling and transportation section, operational scheduling section, and management information section. At the same time, whether the arrival time of the container ships and the container trucks or the handling quantity of ships is characteristic of much randomicity. So the operation of CTLS possesses features of discreteness, dynamic and uncertainty. Under the background of the increasing large-scale and high-speed of the container ships and the cut-throat competition among the ports day by day, the scheduling and decision-making level of CTLS possesses the significant function to improve the competitiveness of harbor.This dissertation fuses the ideology and methodology of systems engineering, software engineering and industrial engineering, and presents the subsequent modeling thoughts:the handling and transportation in CTLS is regarded as a sort of generalized computing, and the classical precise computation and distributed control architecture---Harvard architecture and agent-based computing (HA-AC) is synchronized to describe and model CTLS to obtain a fire-new the modeling and scheduling thinking of CTLS. The application study on CTLS is deployed on the basis of the above idea. The main contents and fruits in this paper are listed as follows:(1) The operation of import containers, export containers, transfer containers and their collecting and distributing in CTLS is analyzed detailedly from the angle of flexible manufacturing system (FMS) to advance the handling displacement model of CTLS, on which the core of CTLS is disassembled into 18 agents consequently supposing that container logistics and information flow are the running backbone and the core of CTLS.(2) CTLS and computer system (CS), which exists in different domain, are compared amply from the aspects of the development, hierarchy, organization, architecture, task scheduling and resource allocation etc, which presents the mapping relations between CTLS and CS whether in architecture and in function. That provides the solid academic foundation for why the modeling of CTLS adopts the computer architecture and scheduling principles.(3) The holistic modeling idea and architecture based on HA-AC is brought forward, whose backbone is container logistics and information flow. The core designing technologies in central processing unit (CPU), which include superscalar architecture and pipeline operation, are fused and abstracted in mathematics, upon that hybrid flow shops with blocking based on attributes (HFS-BA) is advanced by considering the operational characteristics of CTLS. The bi-level container terminal scheduling model based on HFS-BA under HA-AC modeling architecture is presented consequently.(4) Based on the aboved modeling architecture and methodology, the scheduling in the operation of quay side, transferring, and storage yard are studied with emphasis by introducing the scheduling policies in operating system and intelligent optimization algorithms. The quantitative approaches in computer architecture are also imported into the modeling architecture of CTLS, and are applied the corresponding nuclear handling and transportation phases to analyze and evaluate the performance of CTLS. That accomplishes the discussion and analysis of scheduling conditions under HA-AC modeling architecture, and validates the feasibility and creditability of the above modeling and scheduling theory.
Keywords/Search Tags:container terminal logistics system, Harvard architecture, agent-based computing, operating system, scheduling
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