Non-standard part purchasing decision-making system based on manufacturing capability and relation chain

Abstract

The invention discloses a non-standard part purchasing decision-making system based on the manufacturing capability and a relation chain. The non-standard part purchasing decision-making system is characterized by comprising a supplier database module, a supplier evaluation system module and a relation chain display module, wherein the supplier database module includes various types of data of suppliers, the supplier evaluation system module converts the data of the suppliers into evaluating scores of 0-10 based on the supplier database module, the total scores of all the suppliers are calculated according to the evaluating scores, and finally, all the suppliers are ranked. The relation chain display module displays relation chain information associated with all the suppliers. By means ofthe part purchasing decision-making system based on the manufacturing capability and the relation chain, a supplier database can be fully utilized, a reasonable supplier manufacturing capability evaluating system is built from the quantitative and qualitative angle, a relation chain system is built, and reliable decision-making support is provided when a purchasing plan is made.

Description

technical field [0001] The invention relates to a decision-making system for purchasing non-standard parts, in particular to a decision-making system for purchasing non-standard parts based on manufacturing capabilities and relationship chains. Background technique [0002] Purchasing management is an important part of enterprise management. The cost of purchased materials accounts for a large proportion of the total operating cost, which directly affects the operation of the enterprise. Therefore, it is very important to choose a good supplier in the procurement process, and the cost of non-standard parts and materials Procurement is often limited by the road network. In 1966, Dickson G W put forward 23 criteria for supplier evaluation with quality, delivery date and historical performance as important factors; Yahya S and Kingsman B also used the analytic hierarchy process to obtain quality, response, delivery, discipline, Supplier evaluation system including financial an...

AI Technical Summary

Problems solved by technology

Nowadays, principal component analysis, neural network, gray set, rough set, fuzzy set and other methods have also been widely used in supplier selection. The ultimate goal of these methods is to select business partners, and there is no supplier evaluation for certain types of materials. method, the Dijk algorithm or VRP algorithm is often used for the distribution network, and there is no more consideration of the limitations of the road network.

However, in the actual operation of enterprises, there are often shortcomings such as too much human intervention and lack of scientific basis.

Images