This paper finds out the problems existing in a distribution center by analyzing the operation process of the distribution center, the division of the functional areas of the distribution center, the sorting management of the distribution center and the sorting ability of the distribution center. Aiming at the actual problems of the distribution center, the optimization of the order batch and path of the distribution center is studied. Through the establishment of mathematical modeling and the use of genetic algorithm, Using MATLAB programming, the strategy of order batch first and then path optimization is proposed, which can enhance the sorting efficiency.
KEYWORDS: Data modeling, 3D modeling, Design and modelling, Transportation, Mathematical modeling, 3D scanning, Visual process modeling, Modeling, Computer simulations, Algorithm testing
The transportation of containers plays an important role in the transportation of cargos. The effective loading of containers can greatly reduce the transportation cost of logistics cargos. The purpose of packing problem is to get a reasonable packing scheme, so using heuristic algorithm to obtain approximate solution in limited time has become the first choice to solve this kind of problem. Container packing problem is a classic three-dimensional packing problem. In this paper, the mathematical model of the container problem is established with the maximum utilization of container space as the loading optimization objective. A combination heuristic algorithm is proposed, and the actual data of a company is modeled and solved through python programming, and a visual model is established to obtain a loading scheme with the maximum utilization rate of container space of 95.2%. It proves the effectiveness and feasibility of the algorithm in a certain sense, and verifies the effectiveness of the optimization algorithm in this paper.
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