Maintenance equipment site selection and inventory method and system under multistage supply chain and inventory warehouse

Abstract

The invention belongs to the technical field of maintenance equipment inventory data processing, and discloses a maintenance equipment site selection and inventory method under a multi-stage supply chain and an inventory warehouse, and the method comprises the steps of carrying out the optimization and updating of a constructed warehouse site selection and inventory collaborative optimization system of maintenance equipment under the multi-stage supply chain through employing a hybrid fruit fly optimization algorithm; and determining the opening position of the base warehouse, assigning a maintenance point to the base warehouse, and making an inventory control decision, so that the sum of the base warehouse site selection cost, the ordering cost and the storage cost is minimum. According to the invention, the opening position of the base warehouse can be determined, and the sum of the site selection cost, the ordering cost and the storage cost is minimized through the assignment from the maintenance point to the base warehouse and the inventory control decision. According to the invention, the JRD model structure based on the RAND approximation algorithm is derived and arranged again, so that the HFOA algorithm is designed to be very suitable for solving the model, the algorithm is not prone to falling into local optimum and is stable in convergence, and the invention has higher solving efficiency for the large-scale site selection inventory problem.

Description

technical field [0001] The invention belongs to the technical field of maintenance equipment inventory data processing, and in particular relates to a method and system for site selection and inventory of maintenance equipment under a multi-level supply chain and an inventory warehouse. Background technique [0002] At present, the material resources of equipment maintenance and support mainly include material resources such as equipment, equipment, and facilities for equipment maintenance and support, which are the material guarantee for the smooth development of equipment maintenance and support activities. According to incomplete statistics, the cost of equipment consumption accounts for about 1 / 3 of the total cost of equipment support, so it is very meaningful to carry out research on the optimization of equipment configuration. The research on equipment allocation is mainly reflected in three aspects: (1) equipment type and quantity demand forecast; (2) resource reserve...

AI Technical Summary

Problems solved by technology

The second type is the joint replenishment and distribution problem (JRD)

[0007] (1) The existing technology is inefficient for joint replenishment and distribution of multi-variety maintenance equipment

Poor collaborative optimization effect on warehouse location and inventory control, and high total operating costs

[0008] (2) The existing technology lacks practical application for the joint replenishment and distribution problem model establishment

For important practical application projects such as equipment maintenance support, the decision-making of warehouse location and inventory control is of great significance, but there are still few studies

[0009] (3) The prior art lacks research on stochastic inventory systems

Less research has been done on setting safety stock levels against stochastic factors in demand for repair equipment, which can lead to a higher risk of stock-outs in practical applications

[0010] (4) There are few improvements to the fruit fly optimization algorithm in the existing technology

At present, the research on domestic inventory mainly focuses on the problem of joint replenishment of multi-variety items in a single warehouse and the problem of deterministic joint replenishment and distribution of serial (one-to-one) warehouse systems, and less consideration is given to warehouse location and inventory control. collaborative optimization of

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