IAMM: A Maturity Model for Measuring Industrial Analytics Capabilities in Large-scale Manufacturing Facilities

Ken Bruton

doi:10.36001/ijphm.2016.v7i4.2466

IAMM: A Maturity Model for Measuring Industrial Analytics Capabilities in Large-scale Manufacturing Facilities

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.v7i4.2466
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
Workflow
Capability Maturity Model
Maturity (psychological)
Big data
Computer science
Data science
Process (computing)
Multidisciplinary approach
Scale (ratio)
Field (mathematics)
Process management
Systems engineering
Business
Engineering
Database
Data mining
Software
Psychology
Developmental psychology
Social science
Mathematics
Sociology
Pure mathematics
Programming language
Operating system
Physics
Quantum mechanics

Access to Document

10.36001/ijphm.2016.v7i4.2466

https://openalex.org/W2795497068Licence: CC BY

Cite this

@article{b72b0f086f9448a79e6a670fe8283764,

title = "IAMM: A Maturity Model for Measuring Industrial Analytics Capabilities in Large-scale Manufacturing Facilities",

keywords = "Analytics, Workflow, Capability Maturity Model, Maturity (psychological), Big data, Computer science, Data science, Process (computing), Multidisciplinary approach, Scale (ratio), Field (mathematics), Process management, Systems engineering, Business, Engineering, Database, Data mining, Software, Psychology, Developmental psychology, Social science, Mathematics, Sociology, Pure mathematics, Programming language, Operating system, Physics, Quantum mechanics",

author = "Ken Bruton",

year = "2020",

doi = "10.36001/ijphm.2016.v7i4.2466",

language = "English",

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

issn = "2153-2648",

publisher = "Prognostics and Health Management Society",

}

TY - JOUR

T1 - IAMM: A Maturity Model for Measuring Industrial Analytics Capabilities in Large-scale Manufacturing Facilities

AU - Bruton, Ken

PY - 2020

Y1 - 2020

KW - Analytics

KW - Workflow

KW - Capability Maturity Model

KW - Maturity (psychological)

KW - Big data

KW - Computer science

KW - Data science

KW - Process (computing)

KW - Multidisciplinary approach

KW - Scale (ratio)

KW - Field (mathematics)

KW - Process management

KW - Systems engineering

KW - Business

KW - Engineering

KW - Database

KW - Data mining

KW - Software

KW - Psychology

KW - Developmental psychology

KW - Social science

KW - Mathematics

KW - Sociology

KW - Pure mathematics

KW - Programming language

KW - Operating system

KW - Physics

KW - Quantum mechanics

U2 - 10.36001/ijphm.2016.v7i4.2466

DO - 10.36001/ijphm.2016.v7i4.2466

M3 - Article

SN - 2153-2648

JO - International Journal of Prognostics and Health Management

JF - International Journal of Prognostics and Health Management

ER -