Analysis of a production line subject to degradation and preventive maintenance

•We develop an analytical method to analyze a two-machine line with a buffer of finite capacity.•The multi-state machines are subjected to condition-based preventive maintenance.•We analyze the trade-off between preventive maintenance and buffer.•We evaluate the impact of preventive maintenance stra...

Full description

Saved in:
Bibliographic Details
Published inReliability engineering & system safety Vol. 230; p. 108906
Main Authors Wei, Shuaichong, Nourelfath, Mustapha, Nahas, Nabil
Format Journal Article
LanguageEnglish
Published Barking Elsevier Ltd 01.02.2023
Elsevier BV
Subjects
Online AccessGet full text

Cover

Loading…
Abstract •We develop an analytical method to analyze a two-machine line with a buffer of finite capacity.•The multi-state machines are subjected to condition-based preventive maintenance.•We analyze the trade-off between preventive maintenance and buffer.•We evaluate the impact of preventive maintenance strategies.•It is important to consider all degradation costs when optimizing maintenance. This paper considers a continuous flow manufacturing system with two machines subjected to condition-based preventive maintenance, and separated by an intermediate buffer of finite capacity. Each machine can degrade into several discrete states characterized by different degradation levels and performance parameters, ranging from perfect functioning to complete failure. Unlike the existing literature, the proposed approach considers various side effect costs, including the cost related to quality deterioration. A methodology is developed to describe the degradation stochastic process, and to analyze the complex trade-off between the condition-based preventive maintenance and the buffer capacity. The obtained results show the importance of considering quality-related and other possible costs when selecting preventive maintenance policy to optimize the performance of the manufacturing system. It is also shown that the selection of preventive maintenance actions should be considered from the view of the whole system, rather than individual machines. The optimal solution depends on the different degradation levels of the upstream and downstream machines.
AbstractList •We develop an analytical method to analyze a two-machine line with a buffer of finite capacity.•The multi-state machines are subjected to condition-based preventive maintenance.•We analyze the trade-off between preventive maintenance and buffer.•We evaluate the impact of preventive maintenance strategies.•It is important to consider all degradation costs when optimizing maintenance. This paper considers a continuous flow manufacturing system with two machines subjected to condition-based preventive maintenance, and separated by an intermediate buffer of finite capacity. Each machine can degrade into several discrete states characterized by different degradation levels and performance parameters, ranging from perfect functioning to complete failure. Unlike the existing literature, the proposed approach considers various side effect costs, including the cost related to quality deterioration. A methodology is developed to describe the degradation stochastic process, and to analyze the complex trade-off between the condition-based preventive maintenance and the buffer capacity. The obtained results show the importance of considering quality-related and other possible costs when selecting preventive maintenance policy to optimize the performance of the manufacturing system. It is also shown that the selection of preventive maintenance actions should be considered from the view of the whole system, rather than individual machines. The optimal solution depends on the different degradation levels of the upstream and downstream machines.
This paper considers a continuous flow manufacturing system with two machines subjected to condition-based preventive maintenance, and separated by an intermediate buffer of finite capacity. Each machine can degrade into several discrete states characterized by different degradation levels and performance parameters, ranging from perfect functioning to complete failure. Unlike the existing literature, the proposed approach considers various side effect costs, including the cost related to quality deterioration. A methodology is developed to describe the degradation stochastic process, and to analyze the complex trade-off between the condition-based preventive maintenance and the buffer capacity. The obtained results show the importance of considering quality-related and other possible costs when selecting preventive maintenance policy to optimize the performance of the manufacturing system. It is also shown that the selection of preventive maintenance actions should be considered from the view of the whole system, rather than individual machines. The optimal solution depends on the different degradation levels of the upstream and downstream machines.
ArticleNumber 108906
Author Nourelfath, Mustapha
Nahas, Nabil
Wei, Shuaichong
Author_xml – sequence: 1
  givenname: Shuaichong
  orcidid: 0000-0003-1004-1992
  surname: Wei
  fullname: Wei, Shuaichong
  email: shuaichong.wei.1@ulaval.ca
  organization: Department of Mechanical Engineering, Faculty of Science and Engineering, Laval University, Quebec, Canada
– sequence: 2
  givenname: Mustapha
  surname: Nourelfath
  fullname: Nourelfath, Mustapha
  email: mustapha.nourelfath@gmc.ulaval.ca
  organization: Department of Mechanical Engineering, Faculty of Science and Engineering, Laval University, Quebec, Canada
– sequence: 3
  givenname: Nabil
  surname: Nahas
  fullname: Nahas, Nabil
  email: nabil.nahas@umoncton.ca
  organization: Department of Administration, University of Moncton, Canada
BookMark eNp9kD1rwzAQhkVpoUnaP9DJ0NnpWbZlCbqE0C8IZGlnIcvnIuPIqSQH8u-rxJ06ZBKc3ue495mTaztYJOQhg2UGGXvqlg69X1KgNA64AHZFZhmvRAo8Z9dkBqLMUp5TuCVz7zsAKERZzch2ZVV_9MYnQ5uoZO-GZtTBDDbpjcXEj3WHOiRhSBr8dqpR5z9lmxjFA9pgDpjslLEBrbIa78hNq3qP93_vgny9vnyu39PN9u1jvdqkOqc8pMgYiqoWvOGtVmWe1yxjgJwJFIqJSguhyyKjdQmCspZjU2sBOUVWQAGx04I8TnvjxT8j-iC7YXSxi5e0YsA5ywsWU3xKaTd477CV2oRzheCU6WUG8qRPdvKkT570yUlfROk_dO_MTrnjZeh5gjBWPxh00muDUUtjXNQom8Fcwn8BZeyLJw
CitedBy_id crossref_primary_10_1016_j_ress_2023_109290
crossref_primary_10_3390_en17236170
crossref_primary_10_1016_j_cie_2024_110475
crossref_primary_10_3390_app13063740
crossref_primary_10_1093_imaman_dpae015
crossref_primary_10_3390_app14177649
crossref_primary_10_1016_j_compeleceng_2024_110033
crossref_primary_10_1016_j_ress_2023_109415
crossref_primary_10_36930_42245004
crossref_primary_10_1016_j_swevo_2024_101643
crossref_primary_10_1080_00207543_2024_2374848
crossref_primary_10_1016_j_ress_2023_109595
crossref_primary_10_1016_j_ress_2024_110676
crossref_primary_10_1038_s41598_024_61514_4
Cites_doi 10.1016/j.ress.2007.08.006
10.1080/24725854.2018.1494867
10.1080/24725854.2018.1562283
10.1016/j.cirp.2015.04.127
10.1080/00207540500371980
10.1016/j.ijpe.2008.05.022
10.1016/j.ress.2020.107319
10.1016/j.procir.2014.03.186
10.1109/TASE.2013.2237765
10.1080/0740817X.2012.733485
10.1080/0305215X.2017.1299716
10.1007/s10845-013-0864-5
10.1016/j.ress.2021.107828
10.1007/s00291-005-0202-1
10.1016/j.jmsy.2020.03.003
10.1080/07408170902966344
10.1023/A:1018988226612
10.1080/07408170701558607
10.1016/j.ijpe.2006.02.011
10.1016/j.ress.2017.10.024
10.1080/00207543.2017.1420922
10.1016/j.ress.2015.11.015
10.1007/BF01158636
10.1016/j.ijpe.2017.10.016
10.1016/j.cie.2018.03.001
10.1080/07408170208928849
10.1080/00207540903443246
10.1016/j.ress.2021.108232
10.1016/j.ress.2021.107713
10.1016/j.ress.2021.108269
10.1016/S0166-5316(02)00098-6
10.1016/j.ejor.2019.09.047
10.1007/s42524-020-0121-5
10.1016/j.ress.2020.107146
10.1016/j.ress.2021.108078
10.1155/2021/6694896
10.1016/S0377-2217(96)00099-9
10.1016/j.cirp.2018.04.078
10.1016/j.ress.2010.05.002
10.1007/s10845-014-0963-y
10.1016/j.ress.2020.107240
10.1016/j.ress.2017.03.034
10.1016/j.ress.2021.107793
ContentType Journal Article
Copyright 2022 Elsevier Ltd
Copyright Elsevier BV Feb 2023
Copyright_xml – notice: 2022 Elsevier Ltd
– notice: Copyright Elsevier BV Feb 2023
DBID AAYXX
CITATION
7ST
7TB
8FD
C1K
FR3
SOI
DOI 10.1016/j.ress.2022.108906
DatabaseName CrossRef
Environment Abstracts
Mechanical & Transportation Engineering Abstracts
Technology Research Database
Environmental Sciences and Pollution Management
Engineering Research Database
Environment Abstracts
DatabaseTitle CrossRef
Engineering Research Database
Technology Research Database
Mechanical & Transportation Engineering Abstracts
Environment Abstracts
Environmental Sciences and Pollution Management
DatabaseTitleList
Engineering Research Database
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISSN 1879-0836
ExternalDocumentID 10_1016_j_ress_2022_108906
S095183202200521X
GroupedDBID --K
--M
.~1
0R~
123
1B1
1~.
1~5
29P
4.4
457
4G.
5VS
7-5
71M
8P~
9JN
9JO
AABNK
AACTN
AAEDT
AAEDW
AAFJI
AAIAV
AAIKJ
AAKOC
AALRI
AAOAW
AAQFI
AAQXK
AAXUO
ABEFU
ABFNM
ABJNI
ABMAC
ABMMH
ABTAH
ABXDB
ABYKQ
ACDAQ
ACGFS
ACIWK
ACNNM
ACRLP
ADBBV
ADEZE
ADMUD
ADTZH
AEBSH
AECPX
AEKER
AENEX
AFKWA
AFRAH
AFTJW
AGHFR
AGUBO
AGYEJ
AHHHB
AHJVU
AIEXJ
AIKHN
AITUG
AJBFU
AJOXV
AKYCK
ALMA_UNASSIGNED_HOLDINGS
AMFUW
AMRAJ
AOMHK
ASPBG
AVARZ
AVWKF
AXJTR
AZFZN
BJAXD
BKOJK
BLXMC
CS3
DU5
EBS
EFJIC
EFLBG
EJD
EO8
EO9
EP2
EP3
FDB
FEDTE
FGOYB
FIRID
FNPLU
FYGXN
G-2
G-Q
GBLVA
HVGLF
HZ~
IHE
J1W
JJJVA
KOM
LY7
M41
MO0
N9A
O-L
O9-
OAUVE
OZT
P-8
P-9
P2P
PC.
PRBVW
Q38
R2-
RIG
ROL
RPZ
SDF
SDG
SES
SET
SEW
SPC
SPCBC
SSB
SSO
SST
SSZ
T5K
TN5
WUQ
XPP
ZMT
ZY4
~G-
AATTM
AAXKI
AAYWO
AAYXX
ABWVN
ACRPL
ACVFH
ADCNI
ADNMO
AEIPS
AEUPX
AFJKZ
AFPUW
AFXIZ
AGCQF
AGQPQ
AGRNS
AIGII
AIIUN
AKBMS
AKRWK
AKYEP
ANKPU
APXCP
BNPGV
CITATION
SSH
7ST
7TB
8FD
C1K
EFKBS
FR3
SOI
ID FETCH-LOGICAL-c328t-e66e97b98d8fca533b6160e869e9a697c99c5412b50926f8edbc9032e64040083
IEDL.DBID .~1
ISSN 0951-8320
IngestDate Wed Aug 13 07:34:20 EDT 2025
Tue Jul 01 00:45:09 EDT 2025
Thu Apr 24 22:59:48 EDT 2025
Fri Feb 23 02:39:26 EST 2024
IsPeerReviewed true
IsScholarly true
Keywords Degradation
Performance evaluation
Multi-state system
Maintenance
Optimisation
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c328t-e66e97b98d8fca533b6160e869e9a697c99c5412b50926f8edbc9032e64040083
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ORCID 0000-0003-1004-1992
PQID 2760886346
PQPubID 2045406
ParticipantIDs proquest_journals_2760886346
crossref_citationtrail_10_1016_j_ress_2022_108906
crossref_primary_10_1016_j_ress_2022_108906
elsevier_sciencedirect_doi_10_1016_j_ress_2022_108906
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate February 2023
2023-02-00
20230201
PublicationDateYYYYMMDD 2023-02-01
PublicationDate_xml – month: 02
  year: 2023
  text: February 2023
PublicationDecade 2020
PublicationPlace Barking
PublicationPlace_xml – name: Barking
PublicationTitle Reliability engineering & system safety
PublicationYear 2023
Publisher Elsevier Ltd
Elsevier BV
Publisher_xml – name: Elsevier Ltd
– name: Elsevier BV
References Kang, Subramaniam (bib0046) 2018; 119
Muller, Marquez, Iung (bib0020) 2008; 93
Cheng, Li (bib0032) 2020; 204
Nahas (bib0024) 2017; 28
Lv, Liu, Li, Dong, Xia, Chen (bib0041) 2021; 2021
Yang, Li, Wang (bib0035) 2021; 214
Ye, Yang, Cai, Si, Zhou (bib0030) 2021; 207
Tan, Gershwin (bib0008) 2007; OR 381-07
Tolio, Ratti (bib0010) 2018; 56
Nahas, Ait-Kadi, Nourelfath (bib0004) 2006; 103
Li, Blumenfeld, Alden (bib0005) 2006; 44
Fitouhi, Nourelfath, Gershwin (bib0026) 2017; 166
Bouslah, Gharbi, Pellerin (bib0029) 2018; 195
de Jonge, Scarf (bib0039) 2020; 285
Tolio, Matta, Gershwin (bib0006) 2002; 34
Kang, Ju (bib0042) 2019; 51
Poffe A., Gershwin S.B. Integrating quality and quantity modelling in a production line. Working Paper 2005;OR 377-05.
Gao, Wang (bib0031) 2021; 205
Nourelfath, Nahas, Ben-Daya (bib0027) 2016; 148
Tan, Gershwin (bib0007) 2009; 120
Cao, Subramaniam (bib0016) 2013; 45
Wang, Wang, Qi (bib0044) 2016; 27
Gershwin, Schor (bib0003) 2000; 93
Belmansour, Nourelfath (bib0011) 2010; 95
An, Chen, Hu, Zhang, Li, Jiang (bib0034) 2022; 220
Pham, Wang (bib0021) 1996; 94
Colledani, Coupek, Verl, Aichele, Yemane (bib0017) 2014; 21
Gershwin (bib0001) 1994
Colledani, Tolio (bib0015) 2011; 49
Azimpoor, Taghipour (bib0037) 2021; 215
Li, Peng, Li, Jiang (bib0040) 2020; 7
Levantesi, Matta, Tolio (bib0012) 2003; 51
Pei, Yang, Wang, Yan (bib0047) 2022; Under Press
Kim, Gershwin (bib0013) 2005; 27
Ni, Gu, Jin (bib0022) 2015; 64
Zhou, Li, Lin (bib0033) 2022; 217
Nahas, Nourelfath (bib0025) 2018; 50
Ju, Li, Xiao, Huang, Biller (bib0018) 2013; 11
Kang, Ju (bib0043) 2019; 51
Shi, Zhou (bib0019) 2009; 41
Dallery, Gershwin (bib0002) 1992; 12
Zhang, Qi, Zhang, Zhou (bib0036) 2022; 219
Colledani, Magnanini, Tolio (bib0023) 2018; 67
Fakher, Nourelfath, Gendreau (bib0028) 2018; 170
Gu, Guo, Jin (bib0045) 2020; 55
Zhou, Ning (bib0038) 2021; 215
Kim, Gershwin (bib0014) 2008; 40
Cao (10.1016/j.ress.2022.108906_bib0016) 2013; 45
Nahas (10.1016/j.ress.2022.108906_bib0004) 2006; 103
Zhou (10.1016/j.ress.2022.108906_bib0033) 2022; 217
Bouslah (10.1016/j.ress.2022.108906_bib0029) 2018; 195
Nourelfath (10.1016/j.ress.2022.108906_bib0027) 2016; 148
Muller (10.1016/j.ress.2022.108906_bib0020) 2008; 93
Nahas (10.1016/j.ress.2022.108906_bib0024) 2017; 28
Zhou (10.1016/j.ress.2022.108906_bib0038) 2021; 215
Fitouhi (10.1016/j.ress.2022.108906_bib0026) 2017; 166
Gao (10.1016/j.ress.2022.108906_bib0031) 2021; 205
Kim (10.1016/j.ress.2022.108906_bib0013) 2005; 27
Fakher (10.1016/j.ress.2022.108906_bib0028) 2018; 170
Zhang (10.1016/j.ress.2022.108906_bib0036) 2022; 219
Pei (10.1016/j.ress.2022.108906_bib0047) 2022; Under Press
Kang (10.1016/j.ress.2022.108906_bib0043) 2019; 51
Gershwin (10.1016/j.ress.2022.108906_bib0001) 1994
Gu (10.1016/j.ress.2022.108906_bib0045) 2020; 55
Levantesi (10.1016/j.ress.2022.108906_bib0012) 2003; 51
Ye (10.1016/j.ress.2022.108906_bib0030) 2021; 207
Tolio (10.1016/j.ress.2022.108906_bib0010) 2018; 56
Kang (10.1016/j.ress.2022.108906_bib0046) 2018; 119
Nahas (10.1016/j.ress.2022.108906_bib0025) 2018; 50
Colledani (10.1016/j.ress.2022.108906_bib0015) 2011; 49
de Jonge (10.1016/j.ress.2022.108906_bib0039) 2020; 285
Lv (10.1016/j.ress.2022.108906_bib0041) 2021; 2021
Colledani (10.1016/j.ress.2022.108906_bib0023) 2018; 67
Gershwin (10.1016/j.ress.2022.108906_bib0003) 2000; 93
Dallery (10.1016/j.ress.2022.108906_bib0002) 1992; 12
10.1016/j.ress.2022.108906_bib0009
Tolio (10.1016/j.ress.2022.108906_bib0006) 2002; 34
Kim (10.1016/j.ress.2022.108906_bib0014) 2008; 40
Tan (10.1016/j.ress.2022.108906_bib0008) 2007; OR 381-07
Ju (10.1016/j.ress.2022.108906_bib0018) 2013; 11
An (10.1016/j.ress.2022.108906_bib0034) 2022; 220
Colledani (10.1016/j.ress.2022.108906_bib0017) 2014; 21
Wang (10.1016/j.ress.2022.108906_bib0044) 2016; 27
Li (10.1016/j.ress.2022.108906_bib0005) 2006; 44
Yang (10.1016/j.ress.2022.108906_bib0035) 2021; 214
Ni (10.1016/j.ress.2022.108906_bib0022) 2015; 64
Tan (10.1016/j.ress.2022.108906_bib0007) 2009; 120
Li (10.1016/j.ress.2022.108906_bib0040) 2020; 7
Belmansour (10.1016/j.ress.2022.108906_bib0011) 2010; 95
Cheng (10.1016/j.ress.2022.108906_bib0032) 2020; 204
Pham (10.1016/j.ress.2022.108906_bib0021) 1996; 94
Shi (10.1016/j.ress.2022.108906_bib0019) 2009; 41
Azimpoor (10.1016/j.ress.2022.108906_bib0037) 2021; 215
Kang (10.1016/j.ress.2022.108906_bib0042) 2019; 51
References_xml – volume: 44
  start-page: 1375
  year: 2006
  end-page: 1398
  ident: bib0005
  article-title: Comparisons of two-machine line models in throughput analysis
  publication-title: Int J Prod Res
– volume: 21
  start-page: 159
  year: 2014
  end-page: 164
  ident: bib0017
  article-title: Design and evaluation of in-line product repair strategies for defect reduction in the production of electric drives
  publication-title: Procedia CIRP
– volume: 215
  year: 2021
  ident: bib0038
  article-title: Maintenance gravity window based opportunistic maintenance scheduling for multi-unit serial systems with stochastic production waits
  publication-title: Reliab Eng Syst Saf
– volume: 45
  start-page: 575
  year: 2013
  end-page: 590
  ident: bib0016
  article-title: Improving the performance of manufacturing systems with continuous sampling plans
  publication-title: IIE Trans
– volume: 67
  start-page: 499
  year: 2018
  end-page: 502
  ident: bib0023
  article-title: Impact of opportunistic maintenance on manufacturing system performance
  publication-title: CIRP Ann
– volume: 205
  year: 2021
  ident: bib0031
  article-title: Reliability and availability analysis of a retrial system with mixed standbys and an unreliable repair facility
  publication-title: Reliab Eng Syst Saf
– volume: 93
  start-page: 1165
  year: 2008
  end-page: 1187
  ident: bib0020
  article-title: On the concept of e-maintenance: review and current research
  publication-title: Reliab Eng Syst Saf
– volume: 12
  start-page: 3
  year: 1992
  end-page: 94
  ident: bib0002
  article-title: Manufacturing flow line systems: a review of models and analytical results
  publication-title: Queueing Syst
– volume: 55
  start-page: 221
  year: 2020
  end-page: 232
  ident: bib0045
  article-title: Performance evaluation for manufacturing systems under control-limit maintenance policy
  publication-title: J Manuf Syst
– volume: 217
  year: 2022
  ident: bib0033
  article-title: Maintenance optimisation of multicomponent systems using hierarchical coordinated reinforcement learning
  publication-title: Reliab Eng Syst Saf
– volume: 51
  start-page: 777
  year: 2019
  end-page: 791
  ident: bib0042
  article-title: Flexible preventative maintenance for serial production lines with multi-stage degrading machines and finite buffers
  publication-title: IISE Trans
– reference: Poffe A., Gershwin S.B. Integrating quality and quantity modelling in a production line. Working Paper 2005;OR 377-05.
– volume: 95
  start-page: 1193
  year: 2010
  end-page: 1201
  ident: bib0011
  article-title: An aggregation method for performance evaluation of a tandem homogenous production line with machines having multiple failure modes
  publication-title: Reliab Eng Syst Saf
– volume: 41
  start-page: 744
  year: 2009
  end-page: 753
  ident: bib0019
  article-title: Quality control and improvement for multistage systems: a survey
  publication-title: IIE Trans
– volume: 215
  year: 2021
  ident: bib0037
  article-title: Joint inspection and product quality optimization for a system with delayed failure
  publication-title: Reliab Eng Syst Saf
– volume: 148
  start-page: 21
  year: 2016
  end-page: 31
  ident: bib0027
  article-title: Integrated preventive maintenance and production decisions for imperfect processes
  publication-title: Reliab Eng Syst Saf
– volume: 27
  start-page: 287
  year: 2005
  end-page: 314
  ident: bib0013
  article-title: Integrated quality and quantity modeling of a production line
  publication-title: OR Spectr
– volume: 28
  start-page: 85
  year: 2017
  end-page: 93
  ident: bib0024
  article-title: Buffer allocation and preventive maintenance optimization in unreliable production lines
  publication-title: J Intell Manuf
– volume: 51
  start-page: 247
  year: 2003
  end-page: 268
  ident: bib0012
  article-title: Performance evaluation of continuous production lines with machines having different processing times and multiple failure modes
  publication-title: Perform Eval
– volume: 11
  start-page: 230
  year: 2013
  end-page: 244
  ident: bib0018
  article-title: A quality flow model in battery manufacturing systems for electric vehicles
  publication-title: IEEE Trans Autom Sci Eng
– volume: 50
  start-page: 37
  year: 2018
  end-page: 54
  ident: bib0025
  article-title: Joint optimization of maintenance, buffers and machines in manufacturing lines
  publication-title: Eng Optim
– volume: 207
  year: 2021
  ident: bib0030
  article-title: Performance evaluation of serial-parallel manufacturing systems based on the impact of heterogeneous feedstocks on machine degradation
  publication-title: Reliab Eng Syst Saf
– volume: 120
  start-page: 327
  year: 2009
  end-page: 339
  ident: bib0007
  article-title: Analysis of a general Markovian two-stage continuous-flow production system with a finite buffer
  publication-title: Int J Prod Econ
– volume: 170
  start-page: 191
  year: 2018
  end-page: 201
  ident: bib0028
  article-title: Integrating production, maintenance and quality: a multi-period multi-product profit-maximization model
  publication-title: Reliab Eng Syst Saf
– volume: 214
  year: 2021
  ident: bib0035
  article-title: Joint optimization of preventive maintenance and production scheduling for multi-state production systems based on reinforcement learning
  publication-title: Reliab Eng Syst Saf
– volume: 285
  start-page: 805
  year: 2020
  end-page: 824
  ident: bib0039
  article-title: A review on maintenance optimization
  publication-title: Eur J Oper Res
– volume: 166
  start-page: 61
  year: 2017
  end-page: 72
  ident: bib0026
  article-title: Performance evaluation of a two-machine line with a finite buffer and condition-based maintenance
  publication-title: Reliab Eng Syst Saf
– year: 1994
  ident: bib0001
  article-title: Manufacturing systems engineering
– volume: 56
  start-page: 926
  year: 2018
  end-page: 949
  ident: bib0010
  article-title: Performance evaluation of two-machine lines with generalized thresholds
  publication-title: Int J Prod Res
– volume: 49
  start-page: 485
  year: 2011
  end-page: 518
  ident: bib0015
  article-title: Integrated analysis of quality and production logistics performance in manufacturing lines
  publication-title: Int J Prod Res
– volume: 220
  year: 2022
  ident: bib0034
  article-title: Joint optimization of preventive maintenance and production rescheduling with new machine insertion and processing speed selection
  publication-title: Reliab Eng Syst Saf
– volume: 2021
  start-page: 1
  year: 2021
  end-page: 19
  ident: bib0041
  article-title: A new maintenance optimization model based on three-stage time delay for series intelligent system with intermediate buffer
  publication-title: Shock and Vibration
– volume: 93
  start-page: 117
  year: 2000
  end-page: 144
  ident: bib0003
  article-title: Efficient algorithms for buffer space allocation
  publication-title: Ann Oper Res
– volume: 219
  year: 2022
  ident: bib0036
  article-title: Joint optimization of condition-based maintenance policy and buffer capacity for a two-unit series system
  publication-title: Reliab Eng Syst Saf
– volume: 7
  start-page: 323
  year: 2020
  end-page: 334
  ident: bib0040
  article-title: A review of condition-based maintenance: its prognostic and operational aspects
  publication-title: Front Eng Manag
– volume: 103
  start-page: 873
  year: 2006
  end-page: 881
  ident: bib0004
  article-title: A new approach for buffer allocation in unreliable production lines
  publication-title: Int J Prod Econ
– volume: 27
  start-page: 325
  year: 2016
  end-page: 333
  ident: bib0044
  article-title: Multi-agent reinforcement learning based maintenance policy for a resource constrained flow line system
  publication-title: J Intell Manuf
– volume: 34
  start-page: 51
  year: 2002
  end-page: 62
  ident: bib0006
  article-title: Analysis of two-machine lines with multiple failure modes
  publication-title: IIE Trans
– volume: 119
  start-page: 309
  year: 2018
  end-page: 320
  ident: bib0046
  article-title: Joint control of dynamic maintenance and production in a failure-prone manufacturing system subjected to deterioration
  publication-title: Comput Ind Eng
– volume: 195
  start-page: 210
  year: 2018
  end-page: 226
  ident: bib0029
  article-title: Joint production, quality and maintenance control of a two-machine line subject to operation-dependent and quality-dependent failures
  publication-title: Int J Prod Econ
– volume: Under Press
  start-page: 1
  year: 2022
  end-page: 20
  ident: bib0047
  article-title: Energy consumption control in the two-machine Bernoulli serial production line with setup and idleness
  publication-title: Int J Prod Res
– volume: 40
  start-page: 284
  year: 2008
  end-page: 296
  ident: bib0014
  article-title: Analysis of long flow lines with quality and operational failures
  publication-title: IIE Trans
– volume: 204
  year: 2020
  ident: bib0032
  article-title: Joint optimization of production, quality control and maintenance for serial-parallel multistage production systems
  publication-title: Reliab Eng Syst Saf
– volume: 64
  start-page: 447
  year: 2015
  end-page: 450
  ident: bib0022
  article-title: Preventive maintenance opportunities for large production systems
  publication-title: CIRP Ann
– volume: 94
  start-page: 425
  year: 1996
  end-page: 438
  ident: bib0021
  article-title: Imperfect maintenance
  publication-title: Eur J Oper Res
– volume: 51
  start-page: 501
  year: 2019
  end-page: 516
  ident: bib0043
  article-title: Integrated analysis of productivity and machine condition degradation: performance evaluation and bottleneck identification
  publication-title: IISE Trans
– volume: OR 381-07
  year: 2007
  ident: bib0008
  article-title: Modeling and analysis of markovian continuous flow production systems with a finite buffer: a general methodology and applications
  publication-title: Working Paper
– volume: 93
  start-page: 1165
  issue: 8
  year: 2008
  ident: 10.1016/j.ress.2022.108906_bib0020
  article-title: On the concept of e-maintenance: review and current research
  publication-title: Reliab Eng Syst Saf
  doi: 10.1016/j.ress.2007.08.006
– volume: 51
  start-page: 501
  issue: 5
  year: 2019
  ident: 10.1016/j.ress.2022.108906_bib0043
  article-title: Integrated analysis of productivity and machine condition degradation: performance evaluation and bottleneck identification
  publication-title: IISE Trans
  doi: 10.1080/24725854.2018.1494867
– volume: 51
  start-page: 777
  issue: 7
  year: 2019
  ident: 10.1016/j.ress.2022.108906_bib0042
  article-title: Flexible preventative maintenance for serial production lines with multi-stage degrading machines and finite buffers
  publication-title: IISE Trans
  doi: 10.1080/24725854.2018.1562283
– volume: 64
  start-page: 447
  issue: 1
  year: 2015
  ident: 10.1016/j.ress.2022.108906_bib0022
  article-title: Preventive maintenance opportunities for large production systems
  publication-title: CIRP Ann
  doi: 10.1016/j.cirp.2015.04.127
– volume: 44
  start-page: 1375
  issue: 7
  year: 2006
  ident: 10.1016/j.ress.2022.108906_bib0005
  article-title: Comparisons of two-machine line models in throughput analysis
  publication-title: Int J Prod Res
  doi: 10.1080/00207540500371980
– volume: 120
  start-page: 327
  issue: 2
  year: 2009
  ident: 10.1016/j.ress.2022.108906_bib0007
  article-title: Analysis of a general Markovian two-stage continuous-flow production system with a finite buffer
  publication-title: Int J Prod Econ
  doi: 10.1016/j.ijpe.2008.05.022
– volume: 207
  year: 2021
  ident: 10.1016/j.ress.2022.108906_bib0030
  article-title: Performance evaluation of serial-parallel manufacturing systems based on the impact of heterogeneous feedstocks on machine degradation
  publication-title: Reliab Eng Syst Saf
  doi: 10.1016/j.ress.2020.107319
– volume: 21
  start-page: 159
  year: 2014
  ident: 10.1016/j.ress.2022.108906_bib0017
  article-title: Design and evaluation of in-line product repair strategies for defect reduction in the production of electric drives
  publication-title: Procedia CIRP
  doi: 10.1016/j.procir.2014.03.186
– volume: 11
  start-page: 230
  issue: 1
  year: 2013
  ident: 10.1016/j.ress.2022.108906_bib0018
  article-title: A quality flow model in battery manufacturing systems for electric vehicles
  publication-title: IEEE Trans Autom Sci Eng
  doi: 10.1109/TASE.2013.2237765
– volume: 45
  start-page: 575
  issue: 6
  year: 2013
  ident: 10.1016/j.ress.2022.108906_bib0016
  article-title: Improving the performance of manufacturing systems with continuous sampling plans
  publication-title: IIE Trans
  doi: 10.1080/0740817X.2012.733485
– volume: 50
  start-page: 37
  issue: 1
  year: 2018
  ident: 10.1016/j.ress.2022.108906_bib0025
  article-title: Joint optimization of maintenance, buffers and machines in manufacturing lines
  publication-title: Eng Optim
  doi: 10.1080/0305215X.2017.1299716
– volume: 27
  start-page: 325
  issue: 2
  year: 2016
  ident: 10.1016/j.ress.2022.108906_bib0044
  article-title: Multi-agent reinforcement learning based maintenance policy for a resource constrained flow line system
  publication-title: J Intell Manuf
  doi: 10.1007/s10845-013-0864-5
– volume: 215
  year: 2021
  ident: 10.1016/j.ress.2022.108906_bib0038
  article-title: Maintenance gravity window based opportunistic maintenance scheduling for multi-unit serial systems with stochastic production waits
  publication-title: Reliab Eng Syst Saf
  doi: 10.1016/j.ress.2021.107828
– volume: 27
  start-page: 287
  issue: 2–3
  year: 2005
  ident: 10.1016/j.ress.2022.108906_bib0013
  article-title: Integrated quality and quantity modeling of a production line
  publication-title: OR Spectr
  doi: 10.1007/s00291-005-0202-1
– volume: 55
  start-page: 221
  year: 2020
  ident: 10.1016/j.ress.2022.108906_bib0045
  article-title: Performance evaluation for manufacturing systems under control-limit maintenance policy
  publication-title: J Manuf Syst
  doi: 10.1016/j.jmsy.2020.03.003
– ident: 10.1016/j.ress.2022.108906_bib0009
– volume: 41
  start-page: 744
  issue: 9
  year: 2009
  ident: 10.1016/j.ress.2022.108906_bib0019
  article-title: Quality control and improvement for multistage systems: a survey
  publication-title: IIE Trans
  doi: 10.1080/07408170902966344
– volume: 93
  start-page: 117
  issue: 1
  year: 2000
  ident: 10.1016/j.ress.2022.108906_bib0003
  article-title: Efficient algorithms for buffer space allocation
  publication-title: Ann Oper Res
  doi: 10.1023/A:1018988226612
– volume: OR 381-07
  year: 2007
  ident: 10.1016/j.ress.2022.108906_bib0008
  article-title: Modeling and analysis of markovian continuous flow production systems with a finite buffer: a general methodology and applications
  publication-title: Working Paper
– volume: 40
  start-page: 284
  issue: 3
  year: 2008
  ident: 10.1016/j.ress.2022.108906_bib0014
  article-title: Analysis of long flow lines with quality and operational failures
  publication-title: IIE Trans
  doi: 10.1080/07408170701558607
– volume: 103
  start-page: 873
  issue: 2
  year: 2006
  ident: 10.1016/j.ress.2022.108906_bib0004
  article-title: A new approach for buffer allocation in unreliable production lines
  publication-title: Int J Prod Econ
  doi: 10.1016/j.ijpe.2006.02.011
– volume: 170
  start-page: 191
  year: 2018
  ident: 10.1016/j.ress.2022.108906_bib0028
  article-title: Integrating production, maintenance and quality: a multi-period multi-product profit-maximization model
  publication-title: Reliab Eng Syst Saf
  doi: 10.1016/j.ress.2017.10.024
– volume: 56
  start-page: 926
  issue: 1–2
  year: 2018
  ident: 10.1016/j.ress.2022.108906_bib0010
  article-title: Performance evaluation of two-machine lines with generalized thresholds
  publication-title: Int J Prod Res
  doi: 10.1080/00207543.2017.1420922
– year: 1994
  ident: 10.1016/j.ress.2022.108906_bib0001
– volume: 148
  start-page: 21
  year: 2016
  ident: 10.1016/j.ress.2022.108906_bib0027
  article-title: Integrated preventive maintenance and production decisions for imperfect processes
  publication-title: Reliab Eng Syst Saf
  doi: 10.1016/j.ress.2015.11.015
– volume: 12
  start-page: 3
  issue: 1–2
  year: 1992
  ident: 10.1016/j.ress.2022.108906_bib0002
  article-title: Manufacturing flow line systems: a review of models and analytical results
  publication-title: Queueing Syst
  doi: 10.1007/BF01158636
– volume: 195
  start-page: 210
  year: 2018
  ident: 10.1016/j.ress.2022.108906_bib0029
  article-title: Joint production, quality and maintenance control of a two-machine line subject to operation-dependent and quality-dependent failures
  publication-title: Int J Prod Econ
  doi: 10.1016/j.ijpe.2017.10.016
– volume: 119
  start-page: 309
  year: 2018
  ident: 10.1016/j.ress.2022.108906_bib0046
  article-title: Joint control of dynamic maintenance and production in a failure-prone manufacturing system subjected to deterioration
  publication-title: Comput Ind Eng
  doi: 10.1016/j.cie.2018.03.001
– volume: 34
  start-page: 51
  issue: 1
  year: 2002
  ident: 10.1016/j.ress.2022.108906_bib0006
  article-title: Analysis of two-machine lines with multiple failure modes
  publication-title: IIE Trans
  doi: 10.1080/07408170208928849
– volume: 49
  start-page: 485
  issue: 2
  year: 2011
  ident: 10.1016/j.ress.2022.108906_bib0015
  article-title: Integrated analysis of quality and production logistics performance in manufacturing lines
  publication-title: Int J Prod Res
  doi: 10.1080/00207540903443246
– volume: 219
  year: 2022
  ident: 10.1016/j.ress.2022.108906_bib0036
  article-title: Joint optimization of condition-based maintenance policy and buffer capacity for a two-unit series system
  publication-title: Reliab Eng Syst Saf
  doi: 10.1016/j.ress.2021.108232
– volume: 214
  year: 2021
  ident: 10.1016/j.ress.2022.108906_bib0035
  article-title: Joint optimization of preventive maintenance and production scheduling for multi-state production systems based on reinforcement learning
  publication-title: Reliab Eng Syst Saf
  doi: 10.1016/j.ress.2021.107713
– volume: 220
  year: 2022
  ident: 10.1016/j.ress.2022.108906_bib0034
  article-title: Joint optimization of preventive maintenance and production rescheduling with new machine insertion and processing speed selection
  publication-title: Reliab Eng Syst Saf
  doi: 10.1016/j.ress.2021.108269
– volume: 51
  start-page: 247
  issue: 2–4
  year: 2003
  ident: 10.1016/j.ress.2022.108906_bib0012
  article-title: Performance evaluation of continuous production lines with machines having different processing times and multiple failure modes
  publication-title: Perform Eval
  doi: 10.1016/S0166-5316(02)00098-6
– volume: 285
  start-page: 805
  issue: 3
  year: 2020
  ident: 10.1016/j.ress.2022.108906_bib0039
  article-title: A review on maintenance optimization
  publication-title: Eur J Oper Res
  doi: 10.1016/j.ejor.2019.09.047
– volume: 7
  start-page: 323
  issue: 3
  year: 2020
  ident: 10.1016/j.ress.2022.108906_bib0040
  article-title: A review of condition-based maintenance: its prognostic and operational aspects
  publication-title: Front Eng Manag
  doi: 10.1007/s42524-020-0121-5
– volume: 204
  year: 2020
  ident: 10.1016/j.ress.2022.108906_bib0032
  article-title: Joint optimization of production, quality control and maintenance for serial-parallel multistage production systems
  publication-title: Reliab Eng Syst Saf
  doi: 10.1016/j.ress.2020.107146
– volume: 217
  year: 2022
  ident: 10.1016/j.ress.2022.108906_bib0033
  article-title: Maintenance optimisation of multicomponent systems using hierarchical coordinated reinforcement learning
  publication-title: Reliab Eng Syst Saf
  doi: 10.1016/j.ress.2021.108078
– volume: 2021
  start-page: 1
  year: 2021
  ident: 10.1016/j.ress.2022.108906_bib0041
  article-title: A new maintenance optimization model based on three-stage time delay for series intelligent system with intermediate buffer
  publication-title: Shock and Vibration
  doi: 10.1155/2021/6694896
– volume: 94
  start-page: 425
  issue: 3
  year: 1996
  ident: 10.1016/j.ress.2022.108906_bib0021
  article-title: Imperfect maintenance
  publication-title: Eur J Oper Res
  doi: 10.1016/S0377-2217(96)00099-9
– volume: Under Press
  start-page: 1
  year: 2022
  ident: 10.1016/j.ress.2022.108906_bib0047
  article-title: Energy consumption control in the two-machine Bernoulli serial production line with setup and idleness
  publication-title: Int J Prod Res
– volume: 67
  start-page: 499
  issue: 1
  year: 2018
  ident: 10.1016/j.ress.2022.108906_bib0023
  article-title: Impact of opportunistic maintenance on manufacturing system performance
  publication-title: CIRP Ann
  doi: 10.1016/j.cirp.2018.04.078
– volume: 95
  start-page: 1193
  issue: 11
  year: 2010
  ident: 10.1016/j.ress.2022.108906_bib0011
  article-title: An aggregation method for performance evaluation of a tandem homogenous production line with machines having multiple failure modes
  publication-title: Reliab Eng Syst Saf
  doi: 10.1016/j.ress.2010.05.002
– volume: 28
  start-page: 85
  issue: 1
  year: 2017
  ident: 10.1016/j.ress.2022.108906_bib0024
  article-title: Buffer allocation and preventive maintenance optimization in unreliable production lines
  publication-title: J Intell Manuf
  doi: 10.1007/s10845-014-0963-y
– volume: 205
  year: 2021
  ident: 10.1016/j.ress.2022.108906_bib0031
  article-title: Reliability and availability analysis of a retrial system with mixed standbys and an unreliable repair facility
  publication-title: Reliab Eng Syst Saf
  doi: 10.1016/j.ress.2020.107240
– volume: 166
  start-page: 61
  year: 2017
  ident: 10.1016/j.ress.2022.108906_bib0026
  article-title: Performance evaluation of a two-machine line with a finite buffer and condition-based maintenance
  publication-title: Reliab Eng Syst Saf
  doi: 10.1016/j.ress.2017.03.034
– volume: 215
  year: 2021
  ident: 10.1016/j.ress.2022.108906_bib0037
  article-title: Joint inspection and product quality optimization for a system with delayed failure
  publication-title: Reliab Eng Syst Saf
  doi: 10.1016/j.ress.2021.107793
SSID ssj0004957
Score 2.4773898
Snippet •We develop an analytical method to analyze a two-machine line with a buffer of finite capacity.•The multi-state machines are subjected to condition-based...
This paper considers a continuous flow manufacturing system with two machines subjected to condition-based preventive maintenance, and separated by an...
SourceID proquest
crossref
elsevier
SourceType Aggregation Database
Enrichment Source
Index Database
Publisher
StartPage 108906
SubjectTerms Buffers
Continuous flow
Degradation
Finite capacity
Maintenance
Manufacturing
Multi-state system
Optimisation
Optimization
Performance evaluation
Preventive maintenance
Production lines
Reliability engineering
Stochastic processes
Title Analysis of a production line subject to degradation and preventive maintenance
URI https://dx.doi.org/10.1016/j.ress.2022.108906
https://www.proquest.com/docview/2760886346
Volume 230
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV27TsMwFLWqssCAeIpCqTywobSNk_gxVhVVAVEGqNTNiuMbqQjaClJGvh3fOOElxMCa2FZ0bF8fx9fnEHImrEg4sDBIeK4Cx29VoMDaIMx5nkiIhSkP2m8mfDyNr2bJrEGG9V0YTKusYr-P6WW0rp70KjR7q_m8d4fkQKL9dykeFM7wBnsscJR33z7TPNwGQNR28li6ujjjc7xwR9vFFjDVTqHr0e-L048wXa49ox2yXZFGOvDftUsasNgjW1-kBPfJba0uQpc5TenKC7k60CnySPqyNvjDhRZLalEewjsp0XRhXVEv4vQK9ClF9QiU4IADMh1d3A_HQWWWEGQRk0UAnINyyEor8yx1JM7wkPdBcgUq5UpkSmVJHDLjGALjuQRrMtWPGPAY57GMDklzsVzAEaEyToCZKGSlLw9kKhZM5jZiBs9BIWuRsEZJZ5WSOBpaPOo6ZexBI7IakdUe2RY5_6iz8joaf5ZOavD1t9GgXaD_s1677ildzUX3XnAXSnkU8-N_NntCNtFl3idrt0mzeF7DqeMihemUg61DNgaX1-PJO9tO3F0
linkProvider Elsevier
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV09T8MwED1BGYAB8SkKBTywoVDiJI49VoiqBVoGWqmblY-LBIK0gpbfjy92-BJiYE18VvRin1_i83sAp3EeRwK570WiUJ7ht8pTmOeeX4gikhjGabXRPhiK3ji8nkSTJbisz8JQWaXL_TanV9naXWk7NNuzh4f2PZEDSfbflXiQP1mGFVKnihqw0unf9IafxyOVFfwkR3kKcGdnbJkXfdSeUydUbafI-Oj39elHpq6Wn-4mbDjeyDr20bZgCcttWP-iJrgDd7XACJsWLGEzq-VqcGdEJdnrIqV_Lmw-ZTkpRFgzJZaUuWlqdZzekD0nJCBBKhy4C-Pu1eiy5zm_BC8LuJx7KAQqA67MZZElhselwhcXKIVClQgVZ0plUejz1JAELgqJeZqpi4CjCGkqy2APGuW0xH1gMoyQp4HPK2sezFQYc1nkAU9pKxSzJvg1SjpzYuLkafGk66qxR03IakJWW2SbcPYRM7NSGn-2jmrw9bcBoU2u_zOuVb8p7aajuR8Lk01FEIqDf3Z7Aqu90eBW3_aHN4ewRqbztna7BY35ywKPDDWZp8du6L0Dd8HfDg
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Analysis+of+a+production+line+subject+to+degradation+and+preventive+maintenance&rft.jtitle=Reliability+engineering+%26+system+safety&rft.au=Wei%2C+Shuaichong&rft.au=Nourelfath%2C+Mustapha&rft.au=Nahas%2C+Nabil&rft.date=2023-02-01&rft.pub=Elsevier+Ltd&rft.issn=0951-8320&rft.eissn=1879-0836&rft.volume=230&rft_id=info:doi/10.1016%2Fj.ress.2022.108906&rft.externalDocID=S095183202200521X
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0951-8320&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0951-8320&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0951-8320&client=summon