Ship supplier evaluation algorithm based on dynamic particle swarm optimization
A particle swarm algorithm and supplier technology, applied in the direction of calculation, calculation model, data processing application, etc., can solve problems affecting model maintainability, parameter dynamic adjustment, difficult supplier evaluation, etc., to achieve self-learning and updating, Guaranteed scientific results
Pending Publication Date: 2021-11-12
天津海运职业学院
View PDF0 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
The disadvantage of this method is that the solution is not mature enough, not perfect, and the accuracy is low
More importantly, such an evaluation system relies too much on the subjective factors of experts to make decisions, making it difficult to make an objective, comprehensive and specific evaluation of suppliers; it is also impossible to dynamically adjust the parameters in the model, which in turn affects the maintainability of the model , reduce the accuracy of the system, for this reason, the present invention proposes a ship supply evaluation algorithm based on dynamic particle swarm optimization
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 moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0030] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments.
[0031] see figure 1 , the present invention provides a technical solution: a ship supplier evaluation algorithm based on dynamic particle swarm optimization algorithm, the evaluation function in this algorithm is mainly through the enterprise strength, financial status, enterprise reputation, product quality, service quality and cost control The parameters complete the supplier evaluation, and the formula expression is as follows:
[0032] F(x)=w 1 f 1 (x)+w 2 f 2 (x)+w 3 f 3 (x)+w 4 f 4 (x)+w 5 f 5 +w 6 f 6 (x)
[0033] parameter f 1 ~ f 6Respectively represent enterprise strength, financial status, enterprise reputation, product quality, service quality and cost control, w i (i=1~6) respectively represent the importance of the si...
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
Login to View More Abstract
The invention provides a ship supplier evaluation algorithm based on a dynamic particle swarm algorithm. An evaluation function in the algorithm completes supplier evaluation mainly through enterprise strength, financial conditions, enterprise reputation, product quality, service quality, cost control and corresponding parameters. The ship supplier evaluation algorithm based on the dynamic particle swarm optimization is reasonable in design, a supplier evaluation model is optimized by means of the dynamic particle swarm optimization, and the model has the advantages that the internal relation between evaluation index data and evaluation results is found out by means of the experience of experts and the improved particle swarm optimization, so that the autonomous learning and updating of the evaluation model are realized, and the scientificity, accuracy and objectivity of ship supplier evaluation are ensured.
Description
technical field [0001] The invention belongs to the technical field of ship supplier evaluation, in particular to a ship supplier evaluation algorithm based on a dynamic particle swarm algorithm. Background technique [0002] The systematic research on supplier evaluation began in 1966, and Dickson was the first to start research on related work. A.C.Pan (1989) established a linear programming model with cost as the goal. Zeger (2000) et al. studied the literature before 2000 based on the total cost method, and proved that the mathematical programming model is better than the evaluation model through examples, and the multiple model is better than the single item model. In 1998, S.H Ghodsypour proposed a hybrid shaping nonlinear programming model to solve the multi-resource problem under the condition of limited supply capacity. Yahya and Kingsman began to systematically study the problem of supplier evaluation by using analytic hierarchy process. Shu Lili (2007) proposed...
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
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/00G06Q10/06
CPCG06N3/006G06Q10/06393
Inventor 杜向然
Owner 天津海运职业学院