Data for: A Co-Occurrence-based Design Structure Matrix Support with Three-Way-based Learning for Engineering Change Management in Smart Product-Service Systems
Description of this data
This research data (.zip file), as the supplementary materials of the original article, contain the python programs, MATLAB code, engineering change records, and processed data all along the proposed systematic approach consequently.
For confidentiality and readability purposes, raw data has been filtered and simplified into a pre-defined information table with only numbers (i.e. number of change records, condition label, and change of the model) presented.
It is hoped that the research work together with this elaborate research data can provide insightful knowledge of data-driven engineering change management to other scholars and manufacturers.
Experiment data files
This data is associated with the following publication:
Cite this dataset
Zheng, Pai; Chen, Chun-Hsien; Shang, Suiyue (2019), “Data for: A Co-Occurrence-based Design Structure Matrix Support with Three-Way-based Learning for Engineering Change Management in Smart Product-Service Systems”, Mendeley Data, v1 http://dx.doi.org/10.17632/z9bc47jj55.1
The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.