The Design And Implementation Of Complex Product Bidding System

With the development of socialist market economy system,enterprises access to market and become the principal parts of market competition.Bidding becomes a main method between enterprises.The success of bidding has an important influence to the enterprises and the quote price becomes a main facor which contributes to the success of bidding.So, it's a important research subject that how to decide the price to make our enterprise more competitive and bring us more economic benefit and little risk.This paper contains three parts:cost estimating,profit decision and unbalanced bidding strategy.The cost estimaging part introduces the product assembly model and describes how to convert it to assembly logic net.Then we use the MSPS algorithm to weigh the product complexity and get the analogy coefficient to estimate the cost.Then we analyze the traits of bidding activity,erecting a profit decision model based on fuzzy set theory.This model can choose the best profit through quantifying quote objects,profit influence factor and candidate profits.Then we introduce unbalanced bidding strategy on basis of the traits of the discrete manufacturing enterprise.We take amount,date,cost subjects and technology into account.We change the price of all parts of the product ,in order to get more benefit negative influence.This paper introduces the design and implementation of the system.