A bi-objective approach for the multi-skilled worker assignment of a hybrid assembly line-seru production system
The flexibility and responsiveness of seru production have caught the attention of manufacturing and electronics industries. However, multi-skilled worker assignment poses a crucial and challenging decision-making problem for seru production systems. The existing literature on this problem for pure...
Uložené v:
| Vydané v: | R.A.I.R.O. Recherche opérationnelle Ročník 58; číslo 2; s. 1187 - 1206 |
|---|---|
| Hlavní autori: | , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
01.03.2024
|
| ISSN: | 0399-0559, 2804-7303 |
| On-line prístup: | Získať plný text |
| Tagy: |
Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
|
| Abstract | The flexibility and responsiveness of seru production have caught the attention of manufacturing and electronics industries. However, multi-skilled worker assignment poses a crucial and challenging decision-making problem for seru production systems. The existing literature on this problem for pure seru production systems primarily focuses on improving efficiency indexes, which often leads to an unbalanced workload among workers. To address this issue, this article investigates multi-skilled worker assignment for a hybrid assembly line-seru production system that comprises divisional serus and a short assembly line. To balance workload and optimize production efficiency, a bi-objective integer nonlinear programming model is developed. This model jointly optimizes worker-to-seru, worker-to-line, batch-to-seru, task-to-worker, and the processing sequence of each batch. A meta-heuristic method, combining Non-Dominated Sorting Genetic Algorithm II (NSGA-II) with Multi-Objective Simulated Annealing (MOSA), NSGA-II-MOSA, is designed to solve the model. The results of numerical experiments demonstrate that the proposed model and solving method can greatly reduce workload imbalance while maintaining production efficiency. Moreover, NSGA-II-MOSA provides better Pareto solutions than three well-known multi-objective optimization approaches. |
|---|---|
| AbstractList | The flexibility and responsiveness of seru production have caught the attention of manufacturing and electronics industries. However, multi-skilled worker assignment poses a crucial and challenging decision-making problem for seru production systems. The existing literature on this problem for pure seru production systems primarily focuses on improving efficiency indexes, which often leads to an unbalanced workload among workers. To address this issue, this article investigates multi-skilled worker assignment for a hybrid assembly line-seru production system that comprises divisional serus and a short assembly line. To balance workload and optimize production efficiency, a bi-objective integer nonlinear programming model is developed. This model jointly optimizes worker-to-seru, worker-to-line, batch-to-seru, task-to-worker, and the processing sequence of each batch. A meta-heuristic method, combining Non-Dominated Sorting Genetic Algorithm II (NSGA-II) with Multi-Objective Simulated Annealing (MOSA), NSGA-II-MOSA, is designed to solve the model. The results of numerical experiments demonstrate that the proposed model and solving method can greatly reduce workload imbalance while maintaining production efficiency. Moreover, NSGA-II-MOSA provides better Pareto solutions than three well-known multi-objective optimization approaches. |
| Author | Wu, Yinghui Yu, Yang Li, Bingbing Zeng, Shaoyu |
| Author_xml | – sequence: 1 givenname: Yinghui orcidid: 0000-0002-5184-871X surname: Wu fullname: Wu, Yinghui – sequence: 2 givenname: Shaoyu surname: Zeng fullname: Zeng, Shaoyu – sequence: 3 givenname: Bingbing surname: Li fullname: Li, Bingbing – sequence: 4 givenname: Yang surname: Yu fullname: Yu, Yang |
| BookMark | eNot0E1LwzAcBvAgE5xzFz9BzkJcki5pcxzDNxh40XPJyz8urm1K0ir99na40wMPD7_Dc4sWXewAoXtGHxkVbJPihlO-pZxfoSWv6JaUBS0WaEkLpQgVQt2gdc7BzONKSkXFEvU7bAKJ5hvsEH4A675PUdsj9jHh4Qi4HZshkHwKTQMO_8Z0goT1rHx1LXQDjh5rfJxMCu5cQ2uaCTehA5IhjXjW3DjTscN5ygO0d-ja6ybD-pIr9Pn89LF_JYf3l7f97kAsF9uByII7VQqolGCKOS8srbSR3EFpdGmkUdqxSlfK0LJUoK02TBnpZWmVByaKFXr4d22KOSfwdZ9Cq9NUM1qf76pTrC93FX9D32HK |
| Cites_doi | 10.1016/j.jom.2017.01.003 10.1080/00207540701570174 10.1016/j.cie.2018.02.035 10.1108/K-01-2022-0054 10.1080/0951192X.2012.717717 10.1109/4235.996017 10.1080/00207540802275889 10.1016/j.cie.2016.11.035 10.1080/01969722.2020.1827795 10.1016/j.cie.2023.109058 10.1016/j.ins.2017.10.037 10.1186/s40064-015-1659-2 10.1016/j.ejor.2014.01.029 10.1080/00207543.2020.1823028 10.1007/s00170-013-5027-5 10.4018/jsds.2012010104 10.1007/978-3-030-12598-1_27 10.1080/00207543.2017.1403664 10.1080/00207543.2016.1277594 10.1007/s10479-021-04515-0 10.1080/00207543.2019.1669841 10.1080/00207543.2012.693642 10.1080/00207543.2022.2054744 10.1080/0305215X.2022.2055007 10.1016/j.cor.2020.104917 10.1016/j.cie.2021.107552 10.1016/j.cie.2020.107004 10.1007/s42524-019-0028-1 10.1016/j.cie.2018.05.048 10.1080/0305215X.2022.2098283 10.1016/j.jmsy.2012.02.003 10.1007/s10479-020-03805-3 10.1080/00207543.2017.1284359 10.1080/03052151003739598 10.1016/j.ijpe.2013.06.009 |
| ContentType | Journal Article |
| DBID | AAYXX CITATION |
| DOI | 10.1051/ro/2024022 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | CrossRef |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 2804-7303 |
| EndPage | 1206 |
| ExternalDocumentID | 10_1051_ro_2024022 |
| GroupedDBID | --K -E. .FH 0E1 123 1B1 4.4 5VS 74X 74Y 7~V 8FE 8FG AADXX AAFWJ AAOGA AAOTM AAYXX ABGDZ ABKKG ABNSH ABUBZ ABZDU ACACO ACGFS ACIMK ACIWK ACQPF ACRPL ACZPN ADNMO AEMTW AFAYI AFHSK AFUTZ AGQPQ AJPFC ALMA_UNASSIGNED_HOLDINGS AMVHM ARABE ASPBG AVWKF AZPVJ BPHCQ C0O CITATION CS3 DC4 EBS EJD FAM HG- HST HZ~ I-F I.6 IHE IL9 I~P J36 J38 J3A K60 K6V K6~ L6V L98 LO0 M-V M41 NIF O9- OAV P62 PQQKQ PROAC RCA ROL RPZ RR0 S6- WQ3 WXU |
| ID | FETCH-LOGICAL-c254t-632d975e895191df5c08ab62de7ba7b6b9ad18a89b0779eacab19b6f67c9fe153 |
| ISICitedReferencesCount | 2 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001184518300001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0399-0559 |
| IngestDate | Sat Nov 29 04:47:32 EST 2025 |
| IsDoiOpenAccess | false |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 2 |
| Language | English |
| License | https://creativecommons.org/licenses/by/4.0 |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c254t-632d975e895191df5c08ab62de7ba7b6b9ad18a89b0779eacab19b6f67c9fe153 |
| ORCID | 0000-0002-5184-871X |
| OpenAccessLink | https://doi.org/10.1051/ro/2024022 |
| PageCount | 20 |
| ParticipantIDs | crossref_primary_10_1051_ro_2024022 |
| PublicationCentury | 2000 |
| PublicationDate | 2024-03-01 |
| PublicationDateYYYYMMDD | 2024-03-01 |
| PublicationDate_xml | – month: 03 year: 2024 text: 2024-03-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationTitle | R.A.I.R.O. Recherche opérationnelle |
| PublicationYear | 2024 |
| References | Liu (R12) 2012; 31 Zhang (R42) 2023; 61 Yin (R23) 2017; 49 Kaku (R10) 2009; 47 Deb (R5) 2002; 6 R43 Liu (R14) 2021; 160 Zhang (R39) 2018; 427 Liu (R15) 2022; 7 Hashemi-Petroodi (R8) 2021; 59 Bortolini (R4) 2023; 177 Zhang (R41) 2022; 312 Yu (R31) 2013; 145 Yu (R34) 2017; 55 Yu (R32) 2014; 236 Sun (R20) 2016; 2016 Zhang (R40) 2021; 6 Abdullah (R1) 2019; 4 Yu (R30) 2013; 26 Thi (R21) 2023; 55 Ghiasi (R7) 2011; 43 Afshar-Nadjafi (R2) 2021; 151 Yu (R33) 2016; 5 Yuen (R37) 2020; 52 Stecke (R18) 2012; 3 Ying (R25) 2017; 55 Fu (R6) 2023; 14 Yu (R35) 2017; 103 Zeng (R38) 2023; 52 Yılmaz (R27) 2020; 119 Yu (R36) 2018; 122 McDonald (R16) 2009; 47 Liu (R13) 2013; 69 Pe¯na (R17) 2023; 55 Yılmaz (R26) 2020; 58 Yu (R29) 2012; 50 Yin (R24) 2018; 56 R19 Wang (R22) 2022; 316 Yu (R28) 2019; 6 Amine (R3) 2019; 2019 Ishibuchi (R9) 2019; 11411 Lian (R11) 2018; 118 |
| References_xml | – volume: 2019 start-page: 8134674 year: 2019 ident: R3 publication-title: Adv. Oper. Res – volume: 49 start-page: 67 year: 2017 ident: R23 publication-title: J. Oper. Manag doi: 10.1016/j.jom.2017.01.003 – volume: 47 start-page: 2427 year: 2009 ident: R16 publication-title: Int. J. Prod. Res doi: 10.1080/00207540701570174 – volume: 118 start-page: 366 year: 2018 ident: R11 publication-title: Comput. Ind. Eng doi: 10.1016/j.cie.2018.02.035 – volume: 52 start-page: 3495 year: 2023 ident: R38 publication-title: Kybernetes doi: 10.1108/K-01-2022-0054 – volume: 26 start-page: 316 year: 2013 ident: R30 publication-title: Int. J. Comput. Integr. Manuf doi: 10.1080/0951192X.2012.717717 – volume: 6 start-page: 182 year: 2002 ident: R5 publication-title: IEEE Trans. Evol. Comput doi: 10.1109/4235.996017 – volume: 47 start-page: 2055 year: 2009 ident: R10 publication-title: Int. J. Prod. Res doi: 10.1080/00207540802275889 – volume: 103 start-page: 282 year: 2017 ident: R35 publication-title: Comput. Ind. Eng doi: 10.1016/j.cie.2016.11.035 – volume: 52 start-page: 73 year: 2020 ident: R37 publication-title: Cybern. Syst doi: 10.1080/01969722.2020.1827795 – volume: 177 start-page: 109058 year: 2023 ident: R4 publication-title: Comput. Ind. Eng doi: 10.1016/j.cie.2023.109058 – volume: 427 start-page: 63 year: 2018 ident: R39 publication-title: Inf. Sci doi: 10.1016/j.ins.2017.10.037 – volume: 5 start-page: 1 year: 2016 ident: R33 publication-title: SpringerPlus doi: 10.1186/s40064-015-1659-2 – volume: 236 start-page: 774 year: 2014 ident: R32 publication-title: Eur. J. Oper. Res doi: 10.1016/j.ejor.2014.01.029 – volume: 59 start-page: 6721 year: 2021 ident: R8 publication-title: Int. J. Prod. Res doi: 10.1080/00207543.2020.1823028 – volume: 69 start-page: 937 year: 2013 ident: R13 publication-title: Int. J. Adv. Manuf. Technol doi: 10.1007/s00170-013-5027-5 – volume: 3 start-page: 106 year: 2012 ident: R18 publication-title: Int. J. Strateg. Decis. Sci doi: 10.4018/jsds.2012010104 – volume: 2016 start-page: 9748378 year: 2016 ident: R20 publication-title: Math. Probl. Eng – volume: 11411 start-page: 332 year: 2019 ident: R9 publication-title: Lect. Notes Comput. Sci doi: 10.1007/978-3-030-12598-1_27 – volume: 4 start-page: 99 year: 2019 ident: R1 publication-title: Asian J. Manag. Sci. Appl – volume: 56 start-page: 848 year: 2018 ident: R24 publication-title: Int. J. Prod. Res doi: 10.1080/00207543.2017.1403664 – volume: 55 start-page: 2978 year: 2017 ident: R25 publication-title: Int. J. Prod. Res doi: 10.1080/00207543.2016.1277594 – volume: 312 start-page: 1119 year: 2022 ident: R41 publication-title: Ann. Oper. Res doi: 10.1007/s10479-021-04515-0 – volume: 58 start-page: 3195 year: 2020 ident: R26 publication-title: Int. J. Prod. Res doi: 10.1080/00207543.2019.1669841 – volume: 50 start-page: 5259 year: 2012 ident: R29 publication-title: Int. J. Prod. Res doi: 10.1080/00207543.2012.693642 – volume: 61 start-page: 1938 year: 2023 ident: R42 publication-title: Int. J. Prod. Res doi: 10.1080/00207543.2022.2054744 – volume: 14 start-page: 65 year: 2023 ident: R6 publication-title: Int. J. Ind. Eng. Comput – volume: 55 start-page: 981 year: 2023 ident: R17 publication-title: Eng. Optim doi: 10.1080/0305215X.2022.2055007 – volume: 119 start-page: 104917 year: 2020 ident: R27 publication-title: Comput. Oper. Res doi: 10.1016/j.cor.2020.104917 – ident: R43 – volume: 160 start-page: 107552 year: 2021 ident: R14 publication-title: Comput. Ind. Eng doi: 10.1016/j.cie.2021.107552 – volume: 6 start-page: 163 year: 2021 ident: R40 publication-title: Asian J. Manag. Sci. Appl – volume: 151 start-page: 107004 year: 2021 ident: R2 publication-title: Comput. Ind. Eng doi: 10.1016/j.cie.2020.107004 – volume: 6 start-page: 183 year: 2019 ident: R28 publication-title: Front. Eng. Manag doi: 10.1007/s42524-019-0028-1 – volume: 122 start-page: 318 year: 2018 ident: R36 publication-title: Comput. Ind. Eng doi: 10.1016/j.cie.2018.05.048 – volume: 55 start-page: 1535 year: 2023 ident: R21 publication-title: Eng. Optim doi: 10.1080/0305215X.2022.2098283 – volume: 31 start-page: 312 year: 2012 ident: R12 publication-title: J. Manuf. Syst doi: 10.1016/j.jmsy.2012.02.003 – volume: 316 start-page: 445 year: 2022 ident: R22 publication-title: Ann. Oper. Res doi: 10.1007/s10479-020-03805-3 – ident: R19 – volume: 55 start-page: 2990 year: 2017 ident: R34 publication-title: Int. J. Prod. Res doi: 10.1080/00207543.2017.1284359 – volume: 7 start-page: 48 year: 2022 ident: R15 publication-title: J. Manag. Sci. Eng – volume: 43 start-page: 39 year: 2011 ident: R7 publication-title: Eng. Optim doi: 10.1080/03052151003739598 – volume: 145 start-page: 799 year: 2013 ident: R31 publication-title: Int. J. Prod. Econ doi: 10.1016/j.ijpe.2013.06.009 |
| SSID | ssib051866905 ssib051327486 ssj0003353 ssib050921426 |
| Score | 2.3107517 |
| Snippet | The flexibility and responsiveness of seru production have caught the attention of manufacturing and electronics industries. However, multi-skilled worker... |
| SourceID | crossref |
| SourceType | Index Database |
| StartPage | 1187 |
| Title | A bi-objective approach for the multi-skilled worker assignment of a hybrid assembly line-seru production system |
| Volume | 58 |
| WOSCitedRecordID | wos001184518300001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 2804-7303 dateEnd: 99991231 omitProxy: false ssIdentifier: ssib051866905 issn: 0399-0559 databaseCode: M~E dateStart: 20010101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwELaWwgEOiKd4yxLcoqR5-HlcUCuQoKCqoN5WceJ0F0qySjdV98J_4h8ytvNw6aUcOGy0GWWzUebTzGd75jNCb6iUWgNpC0utCQxQWBXmjMMpMQy_omVpC2S_feQHB-L4WH6ZzX4PvTDnp7yuxcWFXP9XV4MNnG1aZ__B3eNNwQDfwelwBLfD8VqOnwdqFTbqu4tko2j4WE9oSwjDsx-mCbC0W8XoNgAKvTqZCgOC5dZ0chmz_qlOt4EhoyE8fmcKukqnONurQPv09jCaRx-iw-hzZPgowAE-QbN2q_EOa6asZloP6mwKgPS57FbjHLbup7CXebPtxoohW3bwFi5VQ7a1-4nZG-S9pZ--SMlUvzW0bRkZBNrLgmtrS0VMQgg9mR-mqfDgmHox12yY7uXvJLUSBldzA4Qf8J3pHto3DxK7fujLEtx_pcaxYNEu1dNk0TaL_rc30M2UU2lywadfe0MIA_plNOxGhkdhsM-J8M4FYzKeRmhZ5oRSh7cwKOjSZLdtdvv_8jiTR36O7qG7_agFzx3a7qOZrh-gO56W5UO0nmMfd3jAHQbcYcAdvoQ77HCHJ9zhpsI5drjDA-7wiDs84Q473D1CX_f3jt69D_vtPMIipWQTsiwtJadaAKmXSVnRIha5Ymmpucq5YkrmZSJyIVXMuQRCkKtEKlYxXshKQ2Z-jHbqptZPEBaVLGJZsYpkmhBWKsmEZIpoFieKavIUvR5e2GLtVFsWV1347FpXPUe3J9y-QDubttMv0a3ifLM6a19Z7_8BimCKAg |
| linkProvider | ISSN International Centre |
| 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=A+bi-objective+approach+for+the+multi-skilled+worker+assignment+of+a+hybrid+assembly+line-seru+production+system&rft.jtitle=R.A.I.R.O.+Recherche+op%C3%A9rationnelle&rft.au=Wu%2C+Yinghui&rft.au=Zeng%2C+Shaoyu&rft.au=Li%2C+Bingbing&rft.au=Yu%2C+Yang&rft.date=2024-03-01&rft.issn=0399-0559&rft.eissn=2804-7303&rft.volume=58&rft.issue=2&rft.spage=1187&rft.epage=1206&rft_id=info:doi/10.1051%2Fro%2F2024022&rft.externalDBID=n%2Fa&rft.externalDocID=10_1051_ro_2024022 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0399-0559&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0399-0559&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0399-0559&client=summon |