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Data Driven Smart Customization
- 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.
- Subjects :
- 0209 industrial biotechnology
Service (systems architecture)
Computer science
business.industry
Big data
02 engineering and technology
010501 environmental sciences
01 natural sciences
Variety (cybernetics)
Data-driven
Personalization
Service module
020901 industrial engineering & automation
General Earth and Planetary Sciences
Product (category theory)
Software engineering
business
0105 earth and related environmental sciences
General Environmental Science
Subjects
Details
- ISSN :
- 22128271
- Volume :
- 81
- Database :
- OpenAIRE
- Journal :
- Procedia CIRP
- Accession number :
- edsair.doi...........b5bfc7e8a320dc5795cd1a32e6f24988