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Systems and Productivity Metrics – a Review

Authors:
Mauro Almeida
Filipe Fidalgo
Angela Oliveira

Keywords: Productivity metrics; Industry 4.0; Internet of Things; Systems; Key Performance Indicators

Abstract:
Nowadays, the industry produces a large amount of data in its daily activities. Invested time and resources in acquiring, storing, and managing this data can represent a huge add value to organizations decision makers. Besides data produced by information systems used to support operational tasks, additional data can be also acquired and stored automatically, without human interaction. In Industry 4.0, technologies are becoming more prevalent in production and logistics. Intelligent sensors can generate a large volume of industrial data, so it is crucial to collect, store, analyze, and distribute this data in organizations. Dashboards allow operators to make informed decisions and solve issues on the fly. Thus, to address the presented concepts, a systematic review was conducted, based on Preferred Reporting Items for Systematic Review and a Meta-Analyses guideline (PRISMA). These studies address some consistent positive evidence on the use of Internet of Things (IoT) technologies to support productivity metrics in industry, creating knowledge for the development of a digital solution.

Pages: 8 to 13

Copyright: Copyright (c) IARIA, 2022

Publication date: October 16, 2022

Published in: conference

ISSN: 2308-3492

ISBN: 978-1-61208-999-7

Location: Lisbon, Portugal

Dates: from October 16, 2022 to October 20, 2022