Corrugated carton paper distribution and material selection optimization method based on mixed mathematical model analysis

A corrugated box and mathematical model technology, applied in complex mathematical operations, data processing applications, forecasting, etc., can solve the problems of reduced accuracy and lack of multi-criteria decision-making, and achieve the effect of reducing the pressure of matching schemes

Pending Publication Date: 2022-07-22
HUNAN UNIV OF TECH
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method still has some limitations after practical application, especially for corrugated cardboard, lack of multi-criteria decision-making, so the accuracy is reduced
[0008] Although the above-mentioned patents all involve the production method of cardboard and the selection or ingredients in the production method, none of the existing technologies can effectively solve the problem that corrugated box manufacturers need to choose according to the needs of different contents. In this way, the problems mentioned above still exist, so it is necessary to improve this

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Corrugated carton paper distribution and material selection optimization method based on mixed mathematical model analysis
  • Corrugated carton paper distribution and material selection optimization method based on mixed mathematical model analysis
  • Corrugated carton paper distribution and material selection optimization method based on mixed mathematical model analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0073] The present invention will be described in detail below with reference to specific embodiments.

[0074] Please refer to figure 1 , which is an optimization method for corrugated box distribution and material selection based on mixed mathematical model analysis. The method uses the combined model of cross-efficiency DEA, EWM and TOPSIS. The method includes the following steps:

[0075] (1) Input the size and weight of the contents;

[0076] (2) Build an evaluation index system;

[0077] (3) Obtain evaluation index data;

[0078] (4) Establish cross-efficiency DEA, EWM and TOPSIS combined decision-making model to calculate and solve;

[0079] (5) Rank the calculated closeness results to provide decision makers with the most cost-effective combination options for top paper, core paper, lining paper and flute type of corrugated boxes.

[0080] Further, the described paper distribution refers to the selection of face paper, core paper, lining paper and corrugated paper ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

A corrugated carton paper distribution and material selection optimization method based on mixed mathematical model analysis is characterized in that a combined mixed mathematical model is formed on the basis of mathematical models of a data envelopment analysis method (DEA) and an entropy weight method (EWM) and in combination with a mathematical model of a superior and inferior solution distance method (TOPSIS), and according to the principle of a multi-criterion decision model material selection method, based on the mixed mathematical model, paper distribution and material selection of a corrugated carton are optimized. And carrying out material selection on the corrugated carton paper distribution by adopting cross efficiency combination model analysis. According to the method, the evaluation index data for evaluating the corrugated carton can be obtained only by determining the size and the weight of the content and by means of cross efficiency calculation and analysis; and calculating the closeness and ranking of each candidate paper matching scheme by utilizing the constructed mathematical model to obtain the optimal material and configuration scheme of the corrugated carton. In addition, the coupling effect of various variable factors is considered, overall optimization is taken as a target, a scientific and effective method is provided for selection and decision-making of corrugated carton materials, and the uncertainty of material selection and matching in the corrugated carton design stage is reduced.

Description

technical field [0001] The invention is an optimization method for material selection, in particular to an optimization method for corrugated box matching paper selection based on mixed mathematical model analysis, which can select the corrugated box with the best cost performance. Optional program. Mainly involved in the field of packaging science and technology. Background technique [0002] The most commonly used shipping packaging for e-commerce products is corrugated boxes, which have outstanding advantages in terms of performance, economy and environmental protection. Corrugated boxes are paper packaging formed by folding corrugated cardboard, and corrugated cardboard is a composite cardboard made of one or more layers of core paper bonded between the face paper and the inner paper. The surface paper and the lining paper play the role of fixing the corrugated position, bearing the tensile and compressive load caused by the bending moment, and preventing puncture; the...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06F17/18G06F17/16
CPCG06Q10/04G06Q10/0639G06F17/16G06F17/18
Inventor 谢勇陈南宁肖颖喆滑广军谭海湖张诗浩刘争号
Owner HUNAN UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products