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Design And Implementation Of The Evaluation System For Dairy Company Dealer’s Satisfaction Based On IOS

Posted on:2017-02-08Degree:MasterType:Thesis
Country:ChinaCandidate:N N FanFull Text:PDF
GTID:2308330485966910Subject:Software engineering
Abstract/Summary:
With the continuous development of market economy, dairy companies are also facing fierce competition in the market. How to survive and develop in such fierce competition, it is a huge challenge facing the dairy industry. The dealer plays an important role in the whole marketing chain, holds the information supply and demand, is a bridge between enterprises and consumers. Therefore, to carry out a thorough and solid reviews for dealer satisfaction for enterprises is very meaningful. It is based on this concept, we design and develop a dairy enterprise dealer satisfaction evaluation system to facilitate enterprise collect dealer satisfaction status and feedback.This application is provided as a dairy company accurate, timely and dynamic dealer satisfaction with the results of the evaluation system, comprising web and mobile sides. Web side mainly for business users, mobile terminal for distributors users.This article main research content is as follows:Directed to dairy companies to customize dealer satisfaction evaluation system, providing accurate, timely and dynamic satisfaction evaluation results. IOS-based platform for dealerships, complete the questionnaire collection. Users can view the questionnaire historical information, modify personal information, redeem points, sharing and other operations.In the process of system development, using the latest technology SizeClass and Auto Layout combination of iPhone screen perfect adaptation of different size.Use of existing data to build dealer satisfaction BP neural network model using MATLAB tools and BP neural network algorithm to the training, testing, and the model simulation, the stability and high accuracy of the dealer satisfaction evaluation model.
Keywords/Search Tags:Dairy companies, Dealers, iOS, The BP neural network, Satisfaction evaluation
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