Data for: A Co-Occurrence-based Design Structure Matrix Support with Three-Way-based Learning for Engineering Change Management in Smart Product-Service Systems

Published: 24 Jan 2019 | Version 1 | DOI: 10.17632/z9bc47jj55.1
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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:

Towards an automatic engineering change management in smart product-service systems – A DSM-based learning approach

Published in: Advanced Engineering Informatics

Latest version

  • Version 1

    2019-01-24

    Published: 2019-01-24

    DOI: 10.17632/z9bc47jj55.1

    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

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Categories

Industrial Engineering, Manufacturing, Product Service System

Licence

CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?

This dataset is licensed under a Creative Commons Attribution 4.0 International licence. What does this mean? You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

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