E-maintenance in support of E-automated manufacturing systems

Muhammed Ucar, Robin G. Qiu

Research output: Contribution to journalArticle

28 Citations (Scopus)

Abstract

Eliminating costly unscheduled shutdown maintenances and accordingly reducing the failures of production systems as a whole help deliver the promises on ordered products. In the exploration of more efficient maintenance and service strategies, the approaches of condition-based proactive maintenance, collaborative maintenance, remote maintenance and service support, provision for real-time information access, and integration of production with maintenance have evolved into a new phenomenon called e-maintenance to meet the needs of the future e-automation manufacturing world. This paper introduces the emerging field of e-maintenance by studying its critical elements in support of the deployment of next generation manufacturing systems; we focus on industrial wireless technology and artificial intelligence, which are two essential technological means in the realization of scalable and agile e-maintenance. The technical issues and challenges involved for applying these technologies in an e-maintenance platform are explained. Finally, a framework for practical implementations is briefly presented.

Original languageEnglish (US)
Pages (from-to)1-10
Number of pages10
JournalJournal of the Chinese Institute of Industrial Engineers
Volume22
Issue number1
DOIs
StatePublished - Jan 1 2005

Fingerprint

Artificial intelligence
Automation

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

Cite this

@article{f7ea5b87753a4250ba1d5f37e32dee0a,
title = "E-maintenance in support of E-automated manufacturing systems",
abstract = "Eliminating costly unscheduled shutdown maintenances and accordingly reducing the failures of production systems as a whole help deliver the promises on ordered products. In the exploration of more efficient maintenance and service strategies, the approaches of condition-based proactive maintenance, collaborative maintenance, remote maintenance and service support, provision for real-time information access, and integration of production with maintenance have evolved into a new phenomenon called e-maintenance to meet the needs of the future e-automation manufacturing world. This paper introduces the emerging field of e-maintenance by studying its critical elements in support of the deployment of next generation manufacturing systems; we focus on industrial wireless technology and artificial intelligence, which are two essential technological means in the realization of scalable and agile e-maintenance. The technical issues and challenges involved for applying these technologies in an e-maintenance platform are explained. Finally, a framework for practical implementations is briefly presented.",
author = "Muhammed Ucar and Qiu, {Robin G.}",
year = "2005",
month = "1",
day = "1",
doi = "10.1080/10170660509509271",
language = "English (US)",
volume = "22",
pages = "1--10",
journal = "Journal of Industrial and Production Engineering",
issn = "2168-1015",
publisher = "Taylor and Francis Ltd.",
number = "1",

}

E-maintenance in support of E-automated manufacturing systems. / Ucar, Muhammed; Qiu, Robin G.

In: Journal of the Chinese Institute of Industrial Engineers, Vol. 22, No. 1, 01.01.2005, p. 1-10.

Research output: Contribution to journalArticle

TY - JOUR

T1 - E-maintenance in support of E-automated manufacturing systems

AU - Ucar, Muhammed

AU - Qiu, Robin G.

PY - 2005/1/1

Y1 - 2005/1/1

N2 - Eliminating costly unscheduled shutdown maintenances and accordingly reducing the failures of production systems as a whole help deliver the promises on ordered products. In the exploration of more efficient maintenance and service strategies, the approaches of condition-based proactive maintenance, collaborative maintenance, remote maintenance and service support, provision for real-time information access, and integration of production with maintenance have evolved into a new phenomenon called e-maintenance to meet the needs of the future e-automation manufacturing world. This paper introduces the emerging field of e-maintenance by studying its critical elements in support of the deployment of next generation manufacturing systems; we focus on industrial wireless technology and artificial intelligence, which are two essential technological means in the realization of scalable and agile e-maintenance. The technical issues and challenges involved for applying these technologies in an e-maintenance platform are explained. Finally, a framework for practical implementations is briefly presented.

AB - Eliminating costly unscheduled shutdown maintenances and accordingly reducing the failures of production systems as a whole help deliver the promises on ordered products. In the exploration of more efficient maintenance and service strategies, the approaches of condition-based proactive maintenance, collaborative maintenance, remote maintenance and service support, provision for real-time information access, and integration of production with maintenance have evolved into a new phenomenon called e-maintenance to meet the needs of the future e-automation manufacturing world. This paper introduces the emerging field of e-maintenance by studying its critical elements in support of the deployment of next generation manufacturing systems; we focus on industrial wireless technology and artificial intelligence, which are two essential technological means in the realization of scalable and agile e-maintenance. The technical issues and challenges involved for applying these technologies in an e-maintenance platform are explained. Finally, a framework for practical implementations is briefly presented.

UR - http://www.scopus.com/inward/record.url?scp=23144450567&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=23144450567&partnerID=8YFLogxK

U2 - 10.1080/10170660509509271

DO - 10.1080/10170660509509271

M3 - Article

AN - SCOPUS:23144450567

VL - 22

SP - 1

EP - 10

JO - Journal of Industrial and Production Engineering

JF - Journal of Industrial and Production Engineering

SN - 2168-1015

IS - 1

ER -