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Customer Demand For Mass Customization Information Systems Research

Posted on:2005-11-14Degree:MasterType:Thesis
Country:ChinaCandidate:T Q YueFull Text:PDF
GTID:2208360122497324Subject:Mechanical design and theory
Abstract/Summary:PDF Full Text Request
With the development of requirement variety in markets, mass customization is gradually springing up in modern productivity mode. And an important factor involved in the success of mass customization is rationally managing the customer requirement information in the total course of enterprise marketing. For the sake of illustrating and dealing with a series of problems relevant to customer requirement information, accordingly, the author set about to analyze the approach in which to investigate customer requirements and to acquire the customized information of customers. In addition, customer clustering, customer groups, and the conversion from customer requirements to technology requirements are taken into consideration in turn. Hence a Customer Requirement Information System (CRIS) for mass customization is developed.The CRIS mainly consists of triple parts such as the acquirement of customer requirement and customized information, classification of customer groups together with comprehensive analysis of customer groups, and the construction of House of Quality of (HOQ). Using the system, customer requirement information during every stage of product life cycle can be obtained on internet. Moreover, a model of automatically obtaining customer requirement through an intelligent Agent technique is simultaneously given, of which the whole structure is put forward and key techniques are particularly discussed. The customers are classified into customer groups recurring to fuzzy cluster algorithm by considering special information of customer requirements and clustering parameters. To mathematically describe the clustering process, a method based on simulated annealing algorithm is deduced, thus each customer group can be paid some simple attention. What's more, a novel approach of the construction of HOQ multi-expert built on Web is presented, which can used to form each part of HOQ. And the fuzzy evaluation method of group decision is taken to decide the relationship matrix between customer requirements and technique requirements, the matrix between technique requirement, the target and sale point, and the technique evaluation. Finally, the experts are taken as factor sets, so that the weight distribution of group decision is used to obtain the synthesis judgment result.Enterprise using application of system of customer requirement information for mass customization is developed utilizing VB tool. And the Web page using for investigation of customer requirement and product customization is developed using JSP and HTML language. Therefore, the Web page used by experts to construct HOQ is also developed. Using the system people can manage the customer requirement information efficiently and perfectly.
Keywords/Search Tags:Mass customization, Customer requirement, Fuzzy clustering, Customer group, House of Quality, Group decision
PDF Full Text Request
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