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Study on Warehouse Slotting Optimization of Multi-Objective Based on Genetic Algorithm

Author: WuZuo
Tutor: ZuQiaoHong
School: Wuhan University of Technology
Course: Logistics Management
Keywords: Slotting Optimization Multi-objective optimization Genetic Algorithms Weight coefficient change method Simulation
CLC: TP18
Type: Master's thesis
Year: 2011
Downloads: 268
Quote: 1
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Abstract


With the rapid development of modern industry, the traditional storage methods can not meet the needs of production and circulation, and automated warehouse has been more and more applications. Many warehousing operations management is still followed years of habit and experience to place the goods, waste storage, but also makes inefficient warehouse. Storage and cargo space and thus to optimize the concept they came into being in this context. The face of thousands of cargo space, a stereo warehouse storage system cargo space optimization has become a key factor to improve the warehouse access efficiency, reduce storage costs. Third-party logistics company A stereoscopic warehouse storage center for study and research at home and abroad on the optimization of storage and cargo space, the main issues and the status quo of the existing analysis to optimize the storage location of their goods in the three-dimensional warehouse. By MATLAB genetic algorithm toolbox optimization function, design a simple algorithm programming and computing speed, cargo space without losing the generality of the optimization method. MATLAB three-dimensional model simulation, optimization better optimization results. In the practical application of the process, MATLAB-based genetic algorithm optimization solution can effectively solve the optimization problem. Clear idea of ??this algorithm, the result of the operation speed of convergence, a satisfactory approximate global optimal solution can be obtained in a short period of time. To avoid a large-scale warehouse, cargo handling and solving calculation time exponentially growing problem. Modern warehousing center Slotting Optimization provides a new way of thinking, and summed up the optimization method for solving a simple calculation, the speed, the actual operational cargo space. The thesis done the following work: (1) analysis of the status of cargo space optimization study warehousing system and explains the important practical significance of the study. - Dimensional warehouse and Slotting Optimization theoretical knowledge of the object of this paper in detail, laid the foundation for the establishment of mathematical models for Slotting Optimization. (2) The combination of third-party logistics company A stereoscopic warehouse automation dimensional storage center analysis extracted Slotting Optimization warehouse management information system critical information, established a goal to improve the efficiency of cargo turnover, while Slotting Optimization model to meet shelf stability requirements. (3) through the analysis of the mathematical model, a comparative analysis of the general method to solve this kind of model. This paper decided to adopt a multi-objective genetic algorithm model for solving, and the use of the weight coefficient of variation method to achieve the design of a genetic algorithm. (4) the introduction of a specific instance of the application, design algorithm encoding and fitness function operator example. MATLAB genetic algorithm toolbox and practicality verification algorithm based on the analysis of the cargo space of the genetic algorithm optimization and simulation, and optimization results. (5) a summary of the full text work, and the genetic algorithm put forward in the field of multi-objective optimization of logistics systems applications.

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