NSGA-II-based automatic storage goods allocation optimization method

A technology of cargo location allocation and optimization method, which is applied in combustion engines, internal combustion piston engines, instruments, etc., can solve problems such as multi-objective optimization that is difficult to solve, and convergence cannot be guaranteed, and achieve high promotion and application value and social significance. Improve the efficiency of cargo access and evenly distribute the effect

Active Publication Date: 2020-05-19
NANJING UNIV OF SCI & TECH
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Problems solved by technology

[0003] How to establish a space allocation optimization model to ensure the efficient operation of automated warehousing has become the primary goal and technical requirement of small-scale dense storage systems. This constrained multi-objective optimization mathematical model often converts multi-objectives into

Method used

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  • NSGA-II-based automatic storage goods allocation optimization method
  • NSGA-II-based automatic storage goods allocation optimization method
  • NSGA-II-based automatic storage goods allocation optimization method

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Embodiment

[0052] Such as figure 1 As shown, a NSGA-II-based automated storage location allocation optimization method, the specific implementation steps include:

[0053] Step 1: The cabinet size setting requirements of the automated storage space are as follows: divide the automated storage space into two parts, one is the work operation area, and the other is the storage area. The working area includes the man-machine interface and the operation platform for entering and exiting the warehouse; the storage area can be designed according to the actual situation. Here, the application in the field of intelligent express cabinets is taken as an example. Since the stored goods are express packages, the setting of the container storage area includes i-layer and j-rows The shelf, in which the unit cabinet is composed of a size with a bottom length of L meters, a height of H meters, and a depth of D meters; and the three-axis moving device is used to move the pallet to achieve flexible adjust...

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Abstract

The invention discloses an NSGA-II-based automatic storage goods allocation optimization method, and the method comprises the steps: carrying out the goods classification through an ABC classificationanalysis method in combination with the goods information; determining an optimization target and a constraint condition of the automatic storage goods allocation method; establishing a constrained multi-objective optimization problem mathematical model; and solving the model by adopting an NSGA-II-based optimization algorithm to obtain an optimal Pareto solution set, and distributing optimization weights according to the actual specific situation of the automatic storage space to obtain a unique non-dominated solution as an optimal solution. The method can be suitable for small and medium-sized automatic storage such as intelligent express cabinets, intelligent vending machines and self-service storing and taking cabinets; the automatic storage space utilization rate and the goods storing and taking execution efficiency can be effectively improved, the working intensity of workers is relieved, the labor cost and the device maintenance cost are greatly reduced, the safety and reliability of automatic storage are improved, and the good practical value and the wide application value are achieved.

Description

technical field [0001] The invention relates to the technical field of automatic storage, in particular to an NSGA-II-based automatic storage location allocation optimization method. Background technique [0002] With the rapid development of modern logistics systems, traditional flat warehouses are being phased out because of their large footprint, low space utilization rate, and obsolescence. Under this background, automated three-dimensional warehouses have emerged as the times require. Due to high manufacturing costs, long construction period, poor versatility, and labor-intensive problems, the market demand for intelligent, miniaturized, and integrated small-scale intensive storage systems is gradually increasing, especially for smart express cabinets, self-service storage cabinets, etc. Automated storage facilities, but at present, smart express cabinets are mainly stored manually. It often occurs that some cargo spaces are idle for too long and some cargo spaces are n...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/08
CPCG06Q10/04G06Q10/087Y02T10/40
Inventor 李玲玉樊卫华沈超许松伟
Owner NANJING UNIV OF SCI & TECH
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