Abstract
Customizing products based on customer needs is an irreversible trend, and many companies strive to provide customized products to customers in less time. Customer requirements are a key factor in the company's ability to provide customized products. In order to better meet customer needs, solve the problem of incomplete and inaccurate expression, and improve the correlation between customized product performance and customer demand, a customized product method based on Bayesian network is proposed. First, the company built a custom product model based on Bayesian networks. According to the model, the customer selects some nodes and their related information. Then, we can accurately predict the final product model through the link tree algorithm, test the customer demand node to determine the focus of the customer's needs, and optimize the model. Finally, an example of a multifunctional nursing bed is used to illustrate the effectiveness of the method.
Highlights
In order to provide customized products, the company’s urgent need is to obtain simple and accurate customer information, which can be used to predict product configuration to obtain satisfactory product configuration solutions [1, 2]
The ant colony optimization algorithm is used to optimize the search expression path and obtain complete customer requirements [4] so the acquisition and analysis of customer needs have a great impact on the final product
Customer demand has become a key factor in increasing competition, and most companies are aware of the importance of customer demand
Summary
(1) The directed acyclic graph has N nodes representing random variables. Since the nodes and their relationships (conditional probability tables) are known, the BN can represent the joint probability distribution of all the nodes therein. If the state of any node in the network is determined, the network itself can use Bayesian rules to perform forward or reverse calculations in the network, thereby deriving the probability that any node in the network will change later. We use customer information, product features, and configurations to form a BN structure. The first step is to select the variables related to customer information, product function, and product configuration, which include node Fnf,, Qnq, Cnc and their related information xfi , xqi , xci.To achieve it, we should (1) determine the target of the customized product model;. (2) determine the specific node status information related to the product configuration; A
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