Product Specification Analysis for Modular Product Design Using Big Sales Data

Loading...
Thumbnail Image
Date
2023-02-13
Authors
Zhang, Jian
Li, Bingbing
Peng, Qingjin
Gu, Peihua
Journal Title
Journal ISSN
Volume Title
Publisher
BMC
Abstract
Big data on product sales are an emerging resource for supporting modular product design to meet diversified customers’ requirements of product specification combinations. To better facilitate decision-making of modular product design, correlations among specifications and components originated from customers’ conscious and subconscious preferences can be investigated by using big data on product sales. This study proposes a framework and the associated methods for supporting modular product design decisions based on correlation analysis of product specifications and components using big sales data. The correlations of the product specifications are determined by analyzing the collected product sales data. By building the relations between the product components and specifications, a matrix for measuring the correlation among product components is formed for component clustering. Six rules for supporting the decision making of modular product design are proposed based on the frequency analysis of the specification values per component cluster. A case study of electric vehicles illustrates the application of the proposed method.
Description
Keywords
Modular product design, Customer preference, Product specifications, Correlation analysis, Big sales data, Electric vehicle
Citation
Chinese Journal of Mechanical Engineering. 2023 Feb 13;36(1):17
Chinese Journal of Mechanical Engineering. 2023 Feb 13;36(1):17
Chinese Journal of Mechanical Engineering. 2023 Feb 13;36(1):17
Chinese Journal of Mechanical Engineering. 2023 Feb 13;36(1):17
Chinese Journal of Mechanical Engineering. 2023 Feb 13;36(1):17
Chinese Journal of Mechanical Engineering. 2023 Feb 13;36(1):17
Chinese Journal of Mechanical Engineering. 2023 Feb 13;36(1):17
Chinese Journal of Mechanical Engineering. 2023 Feb 13;36(1):17
Chinese Journal of Mechanical Engineering. 2023 Feb 13;36(1):17
Chinese Journal of Mechanical Engineering. 2023 Feb 13;36(1):17
Chinese Journal of Mechanical Engineering. 2023 Feb 13;36(1):17
Chinese Journal of Mechanical Engineering. 2023 Feb 13;36(1):17