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The Research on Steel Logistics Park Planning Based on Genetic Algorithm

Author: DanJing
Tutor: HuJiQuanï¼›ZhangYanWei
School: Wuhan University of Technology
Course: Logistics Management
Keywords: Steel logistics park System layout method Grey Prediction Genetic Algorithms System Dynamics
CLC: F259.2;F224
Type: Master's thesis
Year: 2011
Downloads: 249
Quote: 3
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Abstract


With the development of the global economy, the demand for steel is increasing, steel raw material prices rising, steel manufacturing, steel processing industry and trading industry enterprises faced with opportunities and challenges, the characteristics of steel logistics cluster effect, construction and operation of steel logistics park to reduce logistics costs and improve the cluster effect has been more and more enterprises as an important task for future development. The purpose of this paper is the steel logistics park planning to provide reasonable planning and design method, so that the future development of the steel logistics park to provide good technical support and guidance. Thesis: (1) analysis of the status quo of the existing steel logistics, mining the need for the development of the steel logistics park, the existing and steel logistics park construction, in-depth analysis of existing planning design methods, the development of macro-development planning strategy - the strategy of sustainable development (2) summarize the characteristics of the steel logistics park demand forecasting steps to determine the content of the macro market environment, steel processing, steel warehousing, steel trading, steel logistics and distribution prediction qualitative (scenario analysis) and quantitative (gray prediction method) are two characteristics of the forecasting methods to forecast demand. (3) This paper summarizes the layout planning stage, the functional layout of the steel logistics park and the corresponding scale calculation method divided the functional layout of the land use types, the analysis the SLP method in the steel logistics park layout application process. (4) In this paper, optimize the layout stage SLP method and genetic algorithm combined to establish the model of logistics park layout, steel logistics park layout logistics between the functional blocks, processes, optimization of the environment configuration for the target design objective function, effective description of the total plane area restrictions, road crossings and other constraints, designed in accordance with the process of the genetic algorithm fitness function, encoding and decoding method, genetic algorithm operator, and related parameters. (5) with VC development tools in the Windows platform, making data entry platform, the user interface for data acquisition and stored in the database, MATLAB7.0 environment using genetic algorithm toolbox to optimize the operation has been optimized results. (6) the development of steel logistics park development and construction steps as well as the development of the main characteristics of operations management thinking to build a system dynamics model of time, profits, quality system.

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CLC: > Economic > Economic planning and management > Economic calculation, economic and mathematical methods > Economic and mathematical methods
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