Intelligent recommendation method for stacking position of steel coil storeroom

Abstract

The invention discloses an intelligent recommendation method for a stacking position of a steel coil storeroom. The method mainly includes the steps of: 1) checking whether feature attribute information of each steel coil in a steel coil warehouse warrant is complete; 2) increasing a classification identifier for each steel coil in the warehouse warrant; 3) performing ranking of categories; 4) performing internal ranking of steel coils of same categories; 5) selecting the category with the number of steel coils in the warehouse warrant being the largest as steel coils W of the category to be warehoused, and according to the planning and design of the storeroom by a steel mill, searching from a steel coil storeroom database for a steel coil stacking position set Q which is in an idle state in a corresponding area; and 6) performing first-stage stacking position allocation: matching each steel coil in the set W with each high-layer empty stacking position in the set Q. The intelligent recommendation method provided by the invention uses the whole steel coil storeroom as an allocation object, searches for matched stacking positions by stages, and can maximally reduce occupation of stacking positions of the first layer, thereby avoiding the disadvantage that light steel coils are put on the first layer, improving the utilization rate of the stacking positions of the storeroom, reducing the disorder degree of the storeroom, and reducing the number of times of stack transfers.

Description

technical field [0001] The invention belongs to the technical field of warehouse management, control and dispatching, and in particular relates to an intelligent recommendation method for storage stacks in a steel coil warehouse. Background technique [0002] Stack allocation refers to the stage of storage in the warehouse, where the stack positions are allocated for the steel coils to be stored in order to store the steel coils. The quality of the allocation of stacks directly has a serious impact on the utilization rate of the warehouse, the frequency of in-out and out-stacking, the efficiency of warehouse management, and the degree of chaos in the warehouse, which has become a key issue in warehouse management. The steel coil warehouse is the main place for storing steel coils, and usually has the characteristics of large area, wide space, and many stacks. The stacking of the existing steel coil warehouse is based on the experience of the operators in the warehouse to de...

AI Technical Summary

Problems solved by technology

The stacking of the existing steel coil warehouse is based on the experience of the operators in the warehouse to designate the stacking position for the steel coils to be stored. On the one hand, the manual designation of the stacking position is very random. On the other hand, different workers adopt different methods. This makes the stacking of steel coil warehouses more and more chaotic, mainly reflected in: ①Because the bottom stacks are stacked with light-weight steel coils, the high-level stacks cannot continue to be stacked, which greatly reduces the effective capacity of the warehouse ; ② Different types of steel coils are crossed and stacked, which makes it extremely difficult to find and lift the steel coils when leaving the warehouse, and the number of inverted stacks is frequent; ③ The warehouse has a large area and the operators have narrow vision, and they tend to be familiar with stacking positions Steel coils are prone to "zombie stacks" and other situations; stack position recommendation is an indispensable part of intelligent steel coil warehouse management, and it is still in the research stage, and research materials in this area are also very rare

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