Hidden maintenance opportunities in discrete and complex production lines

Xi Gu; Seungchul Lee; Xinran Liang; Mark Garcellano; Mark Diederichs; Jun Ni

doi:10.1016/j.eswa.2013.01.016

Hidden maintenance opportunities in discrete and complex production lines

Xi Gu
, Seungchul Lee
, Xinran Liang
, Mark Garcellano
, Mark Diederichs
, Jun Ni

Research output: Contribution to journal › Article › peer-review

Abstract

In manufacturing systems, many maintenance tasks require equipment to be stopped in order to safely perform them. However, such stoppage cannot last for too long since it might directly result in short-term production losses. In this paper, we investigate how long we can strategically shut down equipment for maintenance during scheduled operations without affecting system throughput. Using the concept of maintenance opportunity windows (MOWs), we estimate such time intervals for various system configurations. Simulations are used to deal with uncertainties in production lines, such as random machine failures, starvations, blockages, etc. Moreover, the proposed MOW algorithms are demonstrated through simulations and real case studies in an automotive assembly plant.

Original language	American English
Pages (from-to)	4353-4361
Number of pages	9
Journal	Expert Systems With Applications
Volume	40
Issue number	11
DOIs	https://doi.org/10.1016/j.eswa.2013.01.016
State	Published - Sep 1 2013
Externally published	Yes

ASJC Scopus subject areas

General Engineering
Computer Science Applications
Artificial Intelligence

Keywords

Complex manufacturing systems
Discrete production
Maintenance opportunity windows

Access to Document

10.1016/j.eswa.2013.01.016

Cite this

@article{f299b67039154fd098c303e4757ccae5,

title = "Hidden maintenance opportunities in discrete and complex production lines",

abstract = "In manufacturing systems, many maintenance tasks require equipment to be stopped in order to safely perform them. However, such stoppage cannot last for too long since it might directly result in short-term production losses. In this paper, we investigate how long we can strategically shut down equipment for maintenance during scheduled operations without affecting system throughput. Using the concept of maintenance opportunity windows (MOWs), we estimate such time intervals for various system configurations. Simulations are used to deal with uncertainties in production lines, such as random machine failures, starvations, blockages, etc. Moreover, the proposed MOW algorithms are demonstrated through simulations and real case studies in an automotive assembly plant.",

keywords = "Complex manufacturing systems, Discrete production, Maintenance opportunity windows",

author = "Xi Gu and Seungchul Lee and Xinran Liang and Mark Garcellano and Mark Diederichs and Jun Ni",

year = "2013",

month = sep,

day = "1",

doi = "10.1016/j.eswa.2013.01.016",

language = "American English",

volume = "40",

pages = "4353--4361",

journal = "Expert Systems With Applications",

issn = "0957-4174",

publisher = "Elsevier Ltd",

number = "11",

}

TY - JOUR

T1 - Hidden maintenance opportunities in discrete and complex production lines

AU - Gu, Xi

AU - Lee, Seungchul

AU - Liang, Xinran

AU - Garcellano, Mark

AU - Diederichs, Mark

AU - Ni, Jun

PY - 2013/9/1

Y1 - 2013/9/1

N2 - In manufacturing systems, many maintenance tasks require equipment to be stopped in order to safely perform them. However, such stoppage cannot last for too long since it might directly result in short-term production losses. In this paper, we investigate how long we can strategically shut down equipment for maintenance during scheduled operations without affecting system throughput. Using the concept of maintenance opportunity windows (MOWs), we estimate such time intervals for various system configurations. Simulations are used to deal with uncertainties in production lines, such as random machine failures, starvations, blockages, etc. Moreover, the proposed MOW algorithms are demonstrated through simulations and real case studies in an automotive assembly plant.

AB - In manufacturing systems, many maintenance tasks require equipment to be stopped in order to safely perform them. However, such stoppage cannot last for too long since it might directly result in short-term production losses. In this paper, we investigate how long we can strategically shut down equipment for maintenance during scheduled operations without affecting system throughput. Using the concept of maintenance opportunity windows (MOWs), we estimate such time intervals for various system configurations. Simulations are used to deal with uncertainties in production lines, such as random machine failures, starvations, blockages, etc. Moreover, the proposed MOW algorithms are demonstrated through simulations and real case studies in an automotive assembly plant.

KW - Complex manufacturing systems

KW - Discrete production

KW - Maintenance opportunity windows

UR - https://www.scopus.com/pages/publications/84876061792

UR - https://www.scopus.com/pages/publications/84876061792#tab=citedBy

U2 - 10.1016/j.eswa.2013.01.016

DO - 10.1016/j.eswa.2013.01.016

M3 - Article

SN - 0957-4174

VL - 40

SP - 4353

EP - 4361

JO - Expert Systems With Applications

JF - Expert Systems With Applications

IS - 11

ER -

Hidden maintenance opportunities in discrete and complex production lines

Abstract

ASJC Scopus subject areas

Keywords

Access to Document

Other files and links

Fingerprint

Cite this