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...
Saved in:
Published in | Reliability engineering & system safety Vol. 230; p. 108906 |
---|---|
Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Barking
Elsevier Ltd
01.02.2023
Elsevier BV |
Subjects | |
Online Access | Get 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 |