| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 5469983 | Procedia CIRP | 2017 | 5 Pages |
Abstract
The customers need no longer just a physical product, but rather the required function provided by the offering of product and service, namely product service system (PSS). Modularization plays a key role in the PSS development in order to address and support individual conceptual design. Functional requirements of PSS can be identified and then classified into different clusters by using a fuzzy clustering algorithm. Considering the relationships between the products and services in a PSS with functional requirement clusters, PSS can be clustered into several modules. Through the modularization, PSS can be easily to customized design for meeting individual requirements. A numeral control machine case is used to show the validity and feasibility of the proposed method.
Related Topics
Physical Sciences and Engineering
Engineering
Industrial and Manufacturing Engineering
Authors
Jian Sun, Nana Chai, Gang Pi, Zaifang Zhang, Beibei Fan,