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Data Driven Smart Customization

Authors :
Fei Tao
Ang Liu
Cheng Zhang
Daindi Chen
Source :
Procedia CIRP. 81:564-569
Publication Year :
2019
Publisher :
Elsevier BV, 2019.

Abstract

In the big data era, a variety of new data can be collected from various sources and analyzed through different techniques to support the decision-making regarding product customization. Based on a thorough investigation of relevant data, this paper presents a new customization framework that is greatly driven by data. The framework includes three interrelated components: data module, design module, and service module. It is intended to promote smart customization in terms of product designing, manufacturing, pricing, marketing, and service. A case study of product customization in the footwear industry is presented to instantiate the implementation of the proposed framework.

Details

ISSN :
22128271
Volume :
81
Database :
OpenAIRE
Journal :
Procedia CIRP
Accession number :
edsair.doi...........b5bfc7e8a320dc5795cd1a32e6f24988