Abstract
This article discusses about new product design patterns in the big data era, gives designer a new rational thinking way, and is a new way to understand the design of the product. Based on the key criteria of the product design process, category, element, and product are used to input the data, which comprises concrete data and abstract data as an enlargement of the criteria of product design process for the establishment of a big data-driven product design pattern’s model. Moreover, an experiment and a product design case are conducted to verify the feasibility of the new pattern. Ultimately, we will conclude that the data-driven product design has two patterns: one is the concrete data supporting the product design, namely “product–data–product” pattern, and the second is based on the value of the abstract data for product design, namely “data–product–data” pattern. Through the data, users are involving themselves in the design development process. Data and product form a huge network, and data plays a role of connection or node. So the essence of the design is to find a new connection based on element, and to find a new node based on category.
Highlights
Data is becoming an important tool in the transformation of industrial economy to knowledge economy and is becoming a key element of production factors and product form
From the point of view of product, for ‘‘product–data– product’’ design pattern, using data as basis for the continual development of products is feasible. It can be used for product substitution or product upgrade; for ‘‘data–product–data’’ design pattern, product category is originated from the value of data, and it can be used for new product design
Through analysis of concrete data based on product brand, in connection with design elements of associated products for data analysis, as shown in Figure 5, we have summarized the style of product elements by comprehensive analysis of the certain brand enterprise
Summary
Data is becoming an important tool in the transformation of industrial economy to knowledge economy and is becoming a key element of production factors and product form. Product information could take the form of data,[7] data aided supply chain management,[8] product manufacture,[9] product marketing strategy,[10] product selling processes, and so on.[11] Data had been able to efficiently support the design and management of large set of complex requirements, based on user feedback to enhance customer satisfaction.[12] Data plays a critical role in organization and management of project for product innovation and development.[13] Currently, intelligent product is in the ascendant, wherein the data is an important intermediary to carry out product lifecycle management.[14] The data sources are different from the traditional in era of big data, user data received more attention, and it is being mining and utilized by use case,[15] and user recommendation and sharing is becoming a basis for product development.[16,17,18]. Among those, ‘‘category’’ expresses the basic characteristics of product,[8,22] and ‘‘data’’ predicts ‘‘element,’’ and ‘‘element’’ is the basic component of product while ‘‘element’’ constitutes ‘‘product.’’
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