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Multi-supplier order distribution cloud processing method based on crowd search algorithm

A crowd search and supplier technology, applied in data processing applications, computing, instruments, etc., can solve problems such as the inability to meet the needs of market competition, and achieve the effect of solving order allocation problems, reducing costs, and improving competitiveness

Active Publication Date: 2018-07-06
DONGHUA UNIV
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The evaluation index of the model is a key part of the order distribution of the enterprise, which is directly related to the operating cost of the enterprise, and the evaluation only based on the conditions of the purchaser itself cannot meet the needs of market competition.

Method used

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  • Multi-supplier order distribution cloud processing method based on crowd search algorithm
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  • Multi-supplier order distribution cloud processing method based on crowd search algorithm

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Embodiment Construction

[0020] Below in conjunction with specific embodiment, further illustrate the present invention. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the teachings of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0021] The embodiment of the present invention relates to a multi-supplier order allocation cloud processing method based on crowd search algorithm, combined with the specific textile machinery manufacturing supply chain, by analyzing various factors that affect the procurement cost in the procurement process of textile machinery parts, using mathematics The expression quantifies the procurement cost of the buyer and the after-...

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Abstract

The invention relates to a multi-supplier order distribution cloud processing method based on a crowd search algorithm. The method comprises steps that purchase cost of a purchaser and after-sales cost of suppliers are analyzed; data of the whole supply chain is analyzed, according to demands of the purchaser, a proper supply chain mathematics model is selected and established, and cost of the whole supply chain is made to be the smallest; the crowd search algorithm is utilized to solve the supply chain mathematics model to acquire order numbers corresponding to the optimal manufacturer and manufacturers. The method is advantaged in that solving a problem of order distribution among the suppliers is facilitated, enterprise competitiveness is improved, reduction of cost of the suppliers canbe further facilitated, product quality is improved, and the key is to effectively reduce the risk of supply disruption.

Description

technical field [0001] The invention relates to the technical field of order distribution, in particular to a multi-supplier order distribution cloud processing method based on a crowd search algorithm. Background technique [0002] In order to ensure the reliability of supply, textile machinery companies often order the same product from multiple suppliers, and reduce the purchase cost of the order on the basis of ensuring the supply rate of the order, thereby reducing the cost of the product. Production costs, improve the efficiency of enterprises. Most of the order allocation models now focus on the purchase cost of the order, product quality, product delivery timeliness and other indicators, and seldom consider the overall evaluation indicators of the supply chain formed by suppliers. The evaluation index of the model is a key part of the order distribution of the enterprise, which is directly related to the operating cost of the enterprise, and the evaluation only base...

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Application Information

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IPC IPC(8): G06Q10/08G06Q10/06
CPCG06Q10/0631G06Q10/067G06Q10/087
Inventor 蔡一方建安胡征侯绍林
Owner DONGHUA UNIV
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