Cloud platforms for remote monitoring system: a comparative case study

Yuqiuge Hao, Petri Helo, Angappa Gunasekaran

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Currently, industrial companies are increasingly introducing services to extend their tangible products. Remote monitoring solutions are one of the most implemented services by machine builders to manage their relationship with customers and also improve their business performance in the digital manufacturing era. However, the conventional method of remote monitoring cannot fulfill distributed business environments. Therefore, new solutions are needed to enable remote connection in manufacturing. By reviewing recent literature and proposing new features for software which can be used for remote service and operations, this research paper introduces a remote monitoring system connecting into a central cloud-based system with edge computing network architecture, namely Cloud-based Remote Monitoring (CloudRM). This proposed CloudRM also has been implemented in two different case companies for analysis and evaluation from a value proposition and technical implementation point of view. It shows significant improvement in production management and measurement by using CloudRM.

Original languageEnglish (US)
Pages (from-to)186-202
Number of pages17
JournalProduction Planning and Control
Volume31
Issue number2-3
DOIs
StatePublished - Feb 17 2020

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

Fingerprint

Dive into the research topics of 'Cloud platforms for remote monitoring system: a comparative case study'. Together they form a unique fingerprint.

Cite this