Performance measurement based on machines data: Systematic literature review-Reference-Cited by-同舟云学术

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Performance measurement based on machines data: Systematic literature review

Published:2022-05-18 Issue:2 Volume:4 Page:74-86
ISSN:2516-8398
Container-title:IET Collaborative Intelligent Manufacturing
language:en
Short-container-title:IET Collab Intel Manufact

Author:

Hidalgo Martins Gleison¹²^ORCID,Deschamps Fernando¹³^ORCID,Pereira Detro Silvana⁴^ORCID,Valle Pablo Deivid¹^ORCID

Affiliation:

1. Manufacturing Engineering Graduate Program (PPGEM) Federal University of Paraná (UFPR) Curitiba Brazil

2. Indústria de Serviços de Alimentação Coletiva Curitiba Brazil

3. Industrial and Systems Engineering Graduate Program (PPGEPS) Pontificia Universidade Católica do Paraná (PUCPR) Curitiba Brazil

4. Production Engineering Department (DEP) Federal University of Paraná (UFPR) Curitiba Brazil

Publisher

Institution of Engineering and Technology (IET)

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering,Computer Science Applications,Hardware and Architecture

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cim2.12051

Reference64 articles.

1. Methods and Tools for Performance Assurance of Smart Manufacturing Systems

2. Smart Industrial IoT Monitoring and Control System Based on UAV and Cloud Computing Applied to a Concrete Plant

3. Industry 4.0 and lean manufacturing practices for sustainable organisational performance in Indian manufacturing companies

4. The internet of things for smart manufacturing: A review

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1. Digital Transformation and Flexible Performance Management: A Systematic Literature Review of the Evolution of Performance Measurement Systems;Global Journal of Flexible Systems Management;2024-07-01

2. Lean Industry 4.0: Past, present, and future;Quality Management Journal;2023-01-02

3. Performance evaluation of public healthcare supply chain management: a critical literature review;International Journal of Healthcare Technology and Management;2023

4. Industrial big data-driven mechanical performance prediction for hot-rolling steel using lower upper bound estimation method;Journal of Manufacturing Systems;2022-10

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