Decision support system for purchasing portion distribution of enterprise

Abstract

The invention discloses a decision support system for purchasing portion distribution of an enterprise, which comprises a supplier database module, a supplier evaluation system module and a purchasing portion calculation module; the supplier database module includes all kinds of data of all suppliers, the supplier evaluation system module is based on the supplier database module and converts all kinds of data of the supplier to the evaluation point of 0-100, and the total grade of each supplier is figured out by the purchasing portion calculation module according to the evaluation number to obtain the distribution portion of each supplier finally. The invention has the advantages that the existing data of each department of the enterprise is integrated, a reasonable and scientific model is employed, and the distribution index of the material to be purchased is figured out, so that the previous artificial interference factor formed in the establishment of the purchasing plan is reduced greatly. The invention can be applied as decision support when the large-scale enterprise makes the purchasing plan.

Description

technical field [0001] The invention relates to the field of decision support systems, in particular to a decision support system for enterprise procurement share allocation. Background technique [0002] The cost of purchasing materials accounts for a large proportion of the total cost of operation, which directly affects the operation of the enterprise. If the purchase price is too high, the product cost will also be high, which will affect the sales and profits of the product. If the purchase price is too low, there may be problems with material quality. Poor, affecting the quality of the product, so that the product does not have market competitiveness. [0003] It is very important to select a good supplier in the procurement process. There are many studies on the selection of supplier evaluation. In 1966, Dickson G W proposed 23 criteria for supplier evaluation with quality, delivery time and historical performance as important factors. ; Yahya S and Kingsman B also u...

AI Technical Summary

Problems solved by technology

Nowadays, principal component analysis, neural network, gray set, rough set, fuzzy set and other methods have been widely used in supplier selection. The ultimate goal of these methods is to choose the partner of the enterprise. However, many enterprises, especially large enterprises There are often more than one supplier for a material, and there is no open and reasonable method for how to allocate the procurement share. However, in the actual operation of the enterprise, there are often shortcomings such as too much human intervention and lack of scientific basis.

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