Case study: the implementation of a data-driven industrial analytics methodology and platform for smart manufacturing

Ken Bruton

doi:10.36001/ijphm.2016.v7i3.2414

Case study: the implementation of a data-driven industrial analytics methodology and platform for smart manufacturing

Ken Bruton

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	International Journal of Prognostics and Health Management
DOIs	https://doi.org/10.36001/ijphm.2016.v7i3.2414
Publication status	Published - 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Analytics
Computer science
Data science
Data analysis
Software analytics
Big data
Systems engineering
Process management
Engineering
Software
Software development
Data mining
Software construction
Programming language

Access to Document

10.36001/ijphm.2016.v7i3.2414

https://openalex.org/W2794867480Licence: CC BY

Cite this

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title = "Case study: the implementation of a data-driven industrial analytics methodology and platform for smart manufacturing",

keywords = "Analytics, Computer science, Data science, Data analysis, Software analytics, Big data, Systems engineering, Process management, Engineering, Software, Software development, Data mining, Software construction, Programming language",

author = "Ken Bruton",

year = "2020",

doi = "10.36001/ijphm.2016.v7i3.2414",

language = "English",

journal = "International Journal of Prognostics and Health Management",

issn = "2153-2648",

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KW - Computer science

KW - Data science

KW - Data analysis

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KW - Big data

KW - Systems engineering

KW - Process management

KW - Engineering

KW - Software

KW - Software development

KW - Data mining

KW - Software construction

KW - Programming language

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DO - 10.36001/ijphm.2016.v7i3.2414

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JO - International Journal of Prognostics and Health Management

JF - International Journal of Prognostics and Health Management

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