A hybrid multi-objective evolutionary algorithm to integrate optimization of the production scheduling and imperfect cutting tool maintenance considering total energy consumption
With the increase in awareness of energy conservation and emission reduction in the manufacturing sector, the energy efficiency optimization of the production process is considered an effective way to promote cleaner production and environmentally sustainable development. Moreover, the transportatio...
Saved in:
| Published in: | Journal of cleaner production Vol. 268; p. 121540 |
|---|---|
| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier Ltd
20.09.2020
|
| Subjects: | |
| ISSN: | 0959-6526, 1879-1786 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | With the increase in awareness of energy conservation and emission reduction in the manufacturing sector, the energy efficiency optimization of the production process is considered an effective way to promote cleaner production and environmentally sustainable development. Moreover, the transportation process and its energy consumption are non-negligible during the entire workshop production process. In practice, cutting tool degradation during operation is inevitable, which causes the actual processing time of work to be extended, so it is necessary to consider the degradation effects and imperfect maintenance. To reduce the total energy consumption in the manufacturing workshop with degradation effects and imperfect maintenance, this paper constructs a novel integrated optimization model including the flexible job-shop scheduling problem (FJSP), forklift transportation and imperfect cutting tool maintenance. First, an imperfect cutting tool maintenance with degradation effect strategy is presented, which makes the actual processing time of each operation more closely approximate the real-world processing situation. Second, an integrated multi-objective optimization model is formulated to simultaneously minimize the makespan, total tardiness, total production cost and total energy consumption. Third, a hybrid multi-objective evolutionary algorithm with Pareto elite storage strategy (HMOEA/P) is proposed to address the model. More precisely, three improved operations are presented: hybrid dominance principle, local search algorithms and Pareto elite preservation strategy. The effectiveness and feasibility of the parameter setting, improved operations and the proposed algorithm are separately demonstrated by the comparative experiments. Last, the superiority of the integrated multi-objective optimization model is proven by comparing different maintenance strategies and energy consumption models. |
|---|---|
| AbstractList | With the increase in awareness of energy conservation and emission reduction in the manufacturing sector, the energy efficiency optimization of the production process is considered an effective way to promote cleaner production and environmentally sustainable development. Moreover, the transportation process and its energy consumption are non-negligible during the entire workshop production process. In practice, cutting tool degradation during operation is inevitable, which causes the actual processing time of work to be extended, so it is necessary to consider the degradation effects and imperfect maintenance. To reduce the total energy consumption in the manufacturing workshop with degradation effects and imperfect maintenance, this paper constructs a novel integrated optimization model including the flexible job-shop scheduling problem (FJSP), forklift transportation and imperfect cutting tool maintenance. First, an imperfect cutting tool maintenance with degradation effect strategy is presented, which makes the actual processing time of each operation more closely approximate the real-world processing situation. Second, an integrated multi-objective optimization model is formulated to simultaneously minimize the makespan, total tardiness, total production cost and total energy consumption. Third, a hybrid multi-objective evolutionary algorithm with Pareto elite storage strategy (HMOEA/P) is proposed to address the model. More precisely, three improved operations are presented: hybrid dominance principle, local search algorithms and Pareto elite preservation strategy. The effectiveness and feasibility of the parameter setting, improved operations and the proposed algorithm are separately demonstrated by the comparative experiments. Last, the superiority of the integrated multi-objective optimization model is proven by comparing different maintenance strategies and energy consumption models. |
| ArticleNumber | 121540 |
| Author | Chen, Xiaohui Li, Yinghe Zhang, Ji An, Youjun |
| Author_xml | – sequence: 1 givenname: Youjun surname: An fullname: An, Youjun email: anyoujun@126.com – sequence: 2 givenname: Xiaohui surname: Chen fullname: Chen, Xiaohui email: chenxiaohui@cqu.edu.cn – sequence: 3 givenname: Ji surname: Zhang fullname: Zhang, Ji email: zhangji@cqu.edu.cn – sequence: 4 givenname: Yinghe surname: Li fullname: Li, Yinghe email: liyinghe_june@163.com |
| BookMark | eNqFUcuKFDEUDTKCPaOfIGTpptokVakHLmQYHBUG3Og6pJOb7hSppExSDe1n-YWmumblZlaB8yL3nFt044MHhN5TsqeEth_H_agczDHsGWEFY5Q35BXa0b4bKtr17Q3akYEPVctZ-wbdpjQSQjvSNTv09x6fLodoNZ4Wl20VDiOobM-A4Rzckm3wMl6wdMcQbT5NOAdsfYZjlBlwmLOd7B-5ynAwOJ8Al3_oRV2RpE6gF2f9EUuvsZ1miKbEY7XkvKI5BIcnuQZ66RVgFXyyGuJGZukweIjHy5VYpnmNfYteG-kSvHt-79Cvxy8_H75VTz--fn-4f6pU3bBcSS1ZYwZuqBqM7unQstoUqm0JBym7pmeccCqpkdwQaDvWH7jSA-VqGDSt6zv0YcstF_1eIGUx2aTAOekhLEmwph4aWnftKuWbVMWQUgQj5minUpygRKwbiVE8byTWjcS2UfF9-s-nbL62maO07kX3580NpYWzhSiSslBq1DaWloUO9oWEf8bWuXw |
| CitedBy_id | crossref_primary_10_1016_j_cie_2023_109169 crossref_primary_10_1108_JQME_07_2021_0058 crossref_primary_10_1007_s10472_022_09810_5 crossref_primary_10_3390_machines13080732 crossref_primary_10_1007_s13369_024_09429_0 crossref_primary_10_1016_j_compbiomed_2023_107727 crossref_primary_10_1109_TNNLS_2022_3208942 crossref_primary_10_1177_09544054231180659 crossref_primary_10_3233_JIFS_236157 crossref_primary_10_1016_j_wear_2023_204692 crossref_primary_10_1007_s00521_023_08897_z crossref_primary_10_3390_math9151751 crossref_primary_10_3390_su15097600 crossref_primary_10_1016_j_autcon_2022_104587 crossref_primary_10_3390_en15197338 crossref_primary_10_1016_j_eswa_2021_115693 crossref_primary_10_1016_j_jmsy_2021_04_015 crossref_primary_10_1016_j_jclepro_2021_128034 crossref_primary_10_1016_j_engappai_2025_111126 crossref_primary_10_1007_s00500_022_07436_7 crossref_primary_10_1016_j_cor_2022_105731 crossref_primary_10_1109_TASE_2023_3285767 crossref_primary_10_1007_s00500_023_08922_2 crossref_primary_10_1109_TCYB_2022_3151855 crossref_primary_10_1088_1361_6501_ada462 crossref_primary_10_1016_j_swevo_2023_101243 crossref_primary_10_1016_j_jclepro_2020_124610 crossref_primary_10_3390_su14106264 crossref_primary_10_1007_s10845_021_01837_5 crossref_primary_10_1016_j_apenergy_2023_122287 crossref_primary_10_1016_j_cor_2024_106952 crossref_primary_10_3390_math11020324 crossref_primary_10_1016_j_autcon_2024_105957 crossref_primary_10_1016_j_jclepro_2023_137844 crossref_primary_10_33889_IJMEMS_2022_7_1_001 crossref_primary_10_3390_electronics11162594 crossref_primary_10_1016_j_jmapro_2024_01_016 crossref_primary_10_1016_j_ress_2023_109143 crossref_primary_10_3390_su132313317 crossref_primary_10_1016_j_eswa_2024_124952 crossref_primary_10_1016_j_asoc_2020_106869 crossref_primary_10_1016_j_cie_2022_108786 crossref_primary_10_1016_j_ijpe_2023_109075 crossref_primary_10_1080_09537287_2024_2389879 crossref_primary_10_3390_app13148535 crossref_primary_10_1016_j_eswa_2022_118711 crossref_primary_10_1016_j_ress_2021_108269 crossref_primary_10_3233_JIFS_233337 crossref_primary_10_1016_j_apenergy_2023_120794 crossref_primary_10_1016_j_cie_2025_111530 crossref_primary_10_1016_j_segan_2022_100872 crossref_primary_10_1016_j_swevo_2025_101902 crossref_primary_10_1016_j_jmsy_2023_01_004 |
| Cites_doi | 10.1109/4235.797969 10.1016/j.jclepro.2019.04.344 10.1080/03052150500431683 10.1155/2015/907034 10.1016/j.apenergy.2018.05.051 10.1016/j.rcim.2019.04.006 10.1080/00207543.2018.1501166 10.1016/j.ress.2015.10.013 10.1109/TEVC.2014.2308305 10.1016/j.asoc.2017.04.060 10.1016/j.cor.2005.12.002 10.1016/j.jclepro.2017.01.011 10.1016/j.asoc.2009.08.039 10.1016/j.cie.2016.02.024 10.1007/s00170-011-3437-9 10.1109/MCI.2017.2742868 10.1016/j.measurement.2018.09.074 10.1016/j.enconman.2015.03.009 10.1109/4235.996017 10.1016/j.renene.2018.12.006 10.1016/j.cie.2016.04.018 10.1016/j.ijpe.2016.01.016 10.1016/j.omega.2010.01.003 10.1016/j.jclepro.2018.11.231 10.1109/TASE.2014.2325860 10.1016/j.ejor.2018.10.049 10.1016/j.apm.2016.09.022 10.1016/j.eswa.2011.02.050 10.1016/j.jclepro.2017.02.186 10.1016/j.energy.2017.07.005 10.1016/j.energy.2017.07.039 10.1016/j.ejor.2017.08.021 10.1016/j.eswa.2015.11.007 10.1016/j.cirp.2012.03.084 10.1109/TEVC.2015.2420112 10.1016/j.cie.2010.05.016 10.1016/j.jclepro.2014.10.006 10.1016/j.ejor.2018.01.039 10.1109/TSMCB.2008.926329 10.1016/j.precisioneng.2013.06.007 10.1016/j.jclepro.2018.11.021 10.1016/j.compchemeng.2017.05.004 10.1016/j.cie.2015.08.002 10.1016/j.eswa.2010.08.145 10.1016/j.cie.2018.08.008 10.3390/su10030841 10.1016/j.energy.2017.05.110 10.1016/j.jmapro.2016.03.010 10.1016/j.jclepro.2017.10.342 10.1016/j.ins.2016.06.007 10.1016/j.ijpe.2010.07.012 10.1016/j.apm.2013.07.038 10.1007/s00170-011-3327-1 10.1016/j.jclepro.2018.02.224 10.1109/TEVC.2013.2281535 10.1016/j.ejor.2018.05.050 10.1109/TEVC.2007.892759 |
| ContentType | Journal Article |
| Copyright | 2020 Elsevier Ltd |
| Copyright_xml | – notice: 2020 Elsevier Ltd |
| DBID | AAYXX CITATION 7S9 L.6 |
| DOI | 10.1016/j.jclepro.2020.121540 |
| DatabaseName | CrossRef AGRICOLA AGRICOLA - Academic |
| DatabaseTitle | CrossRef AGRICOLA AGRICOLA - Academic |
| DatabaseTitleList | AGRICOLA |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 1879-1786 |
| ExternalDocumentID | 10_1016_j_jclepro_2020_121540 S0959652620315870 |
| GroupedDBID | --K --M ..I .~1 0R~ 1B1 1RT 1~. 1~5 4.4 457 4G. 5GY 5VS 7-5 71M 8P~ 9JM 9JN AABNK AACTN AAEDT AAEDW AAHCO AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AARJD AAXUO ABFYP ABJNI ABLST ABMAC ABMYL ABYKQ ACDAQ ACGFS ACRLP ADBBV ADEZE AEBSH AEKER AENEX AFKWA AFTJW AFXIZ AGHFR AGUBO AGYEJ AHEUO AHHHB AHIDL AIEXJ AIKHN AITUG AJOXV AKIFW AKRWK ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AXJTR BELTK BKOJK BLECG BLXMC CS3 DU5 EBS EFJIC EFLBG EO8 EO9 EP2 EP3 FDB FIRID FNPLU FYGXN G-Q GBLVA HMC IHE J1W JARJE K-O KCYFY KOM LY9 M41 MO0 MS~ N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 RIG RNS ROL RPZ SCC SDF SDG SDP SES SPC SPCBC SSJ SSR SSZ T5K ~G- 29K 9DU AAHBH AAQXK AATTM AAXKI AAYWO AAYXX ABFNM ABWVN ABXDB ACLOT ACRPL ACVFH ADCNI ADHUB ADMUD ADNMO AEGFY AEIPS AEUPX AFJKZ AFPUW AGQPQ AIGII AIIUN AKBMS AKYEP ANKPU APXCP ASPBG AVWKF AZFZN CITATION D-I EFKBS EJD FEDTE FGOYB G-2 HVGLF HZ~ R2- SEN SEW WUQ ZY4 ~HD 7S9 L.6 |
| ID | FETCH-LOGICAL-c342t-ada24f95f1c9fd819623fc346605eaa74825051a1fa5f0e6728b5cd915c99d133 |
| ISICitedReferencesCount | 57 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000561594800003&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0959-6526 |
| IngestDate | Thu Oct 02 07:59:04 EDT 2025 Sat Nov 29 07:08:55 EST 2025 Tue Nov 18 20:54:12 EST 2025 Sat Mar 16 16:14:09 EDT 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Hybrid multi-objective evolutionary algorithm Production scheduling Total energy consumption Imperfect cutting tool maintenance |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c342t-ada24f95f1c9fd819623fc346605eaa74825051a1fa5f0e6728b5cd915c99d133 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| PQID | 2439413763 |
| PQPubID | 24069 |
| ParticipantIDs | proquest_miscellaneous_2439413763 crossref_primary_10_1016_j_jclepro_2020_121540 crossref_citationtrail_10_1016_j_jclepro_2020_121540 elsevier_sciencedirect_doi_10_1016_j_jclepro_2020_121540 |
| PublicationCentury | 2000 |
| PublicationDate | 2020-09-20 |
| PublicationDateYYYYMMDD | 2020-09-20 |
| PublicationDate_xml | – month: 09 year: 2020 text: 2020-09-20 day: 20 |
| PublicationDecade | 2020 |
| PublicationTitle | Journal of cleaner production |
| PublicationYear | 2020 |
| Publisher | Elsevier Ltd |
| Publisher_xml | – name: Elsevier Ltd |
| References | Liang, Yang, Liu, Guo (bib21) 2015 Wu, Sun (bib46) 2018; 172 Shen, Dauzère-Pérès, Neufeld (bib35) 2018; 265 Zhang, Gao, Shi (bib57) 2011; 38 Nouri, Driss, Ghédira (bib31) 2016; 102 Zhang, Wang, Yang (bib60) 2015; 21 Zhang, Tian, Cheng, Jin (bib61) 2015; 19 Meng, Zhang, Shao, Ren, Ren (bib26) 2019; 4 Lacomme, Larabi, Tchernev (bib15) 2013; 143 Li, Pan, Tasgetiren (bib18) 2014; 38 Meng, Zhang, Shao, Ren (bib25) 2019; 210 Yang, Ye, Lee, Yang, Peng (bib48) 2019; 274 Lu, Gao, Li, Pan, Wang (bib24) 2017; 144 Poppe, Boute, Lambrecht (bib33) 2018; 268 Yuan, Tian, Yuan, Huang, Ikram (bib51) 2015; 96 Bruzzone, Anghinolfi, Paolucci, Tonelli (bib2) 2012; 61 Karimi, Ardalan, Naderi, Mohammadi (bib13) 2017; 41 Yuan, Xu, Wang, Yao (bib52) 2016; 20 Wu, Shen, Cui (bib45) 2018; 10 Gao, Li, Wen, Lu, Wen (bib9) 2015; 88 Chalabi, Dahane, Beldjilali, Neki (bib4) 2016; 102 Tavana, Li, Mobin, Komaki, Teymourian (bib39) 2016; 50 Zhang, Li, Guan, Rao (bib56) 2007; 34 Zeng, Hong, Man, Li, Zhang, Liu (bib55) 2018; 183 Cai, Liu, Xie, Liu, Tuo (bib3) 2017; 138 Tian, Cheng, Zhang, Jin (bib40) 2017; 12 Xiao, Song, Chen, Coit (bib47) 2016; 146 Drouillet, Karandikar, Nath, Journeaux, Mohamed, Kurfess (bib8) 2016; 22 Li, Gao (bib20) 2016; 174 Leung (bib16) 2006; 38 Yang, Zeng, Wang, Sun (bib50) 2016; 11 Zandieh, Khatami, Rahmati (bib53) 2017; 58 Karandikar, Abbas, Schmitz (bib12) 2014; 38 Naderi, Ghomi, Aminnayeri (bib29) 2010; 10 He, Huang, Wang, Nie, Li, Wang (bib10) 2017; 150 Abdelmaguid (bib1) 2015; 260 Li, Pan, Xie (bib19) 2012; 218 Tavakkoli-Moghaddam, Azarkish, Sadeghnejad-Barkousaraie (bib38) 2011; 38 Zhang, Li (bib59) 2007; 11 Zou, Chen, Liu, Kang (bib65) 2008; 38 He, Li, Wu, Sutherland (bib11) 2015; 87 Nodem, Kenne, Gharbi (bib30) 2011; 57 Yang, Yang (bib49) 2010; 38 Zitzler, Thiele (bib64) 1999; 3 Rahmati, Zandieh (bib34) 2012; 58 Kovac, Gostimirovic, Rodic, Savkovic (bib14) 2019; 133 Dai, Tang, Giret, Salido (bib5) 2019; 59 Tamssaouet, Dauzère-Pérès, Yugma (bib36) 2018; 125 Wang, Zhao, Guo (bib42) 2019; 135 Deb, Jain (bib6) 2014; 18 Montgomery (bib28) 2008 Tang, Yan, Wang, Zeng (bib37) 2014; 11 Zhang, Tang, Wu, Wang (bib58) 2017; 138 Mokhtari, Hasani (bib27) 2017; 104 Deb, Pratap, Agarwal, Meyarivan (bib7) 2002; 6 Wang, Baldacci, Lim, Hu (bib44) 2018; 271 Zhang, Tian, Jin (bib62) 2016; 369 Wang, Yu (bib43) 2010; 59 Ozolins (bib32) 2018 Liu, Guo, Wang (bib23) 2019; 211 Zhao, Liu, He, Cao, Guo (bib63) 2017; 133 Liu, Zhang, Li, Lu, Hu (bib22) 2014; 15 Zeng, Hong, Li, Man, Liu, Li, Zhang (bib54) 2018; 225 Wang, Yao, Sheng, Yang (bib41) 2019; 229 Bruzzone (10.1016/j.jclepro.2020.121540_bib2) 2012; 61 Karandikar (10.1016/j.jclepro.2020.121540_bib12) 2014; 38 Chalabi (10.1016/j.jclepro.2020.121540_bib4) 2016; 102 Leung (10.1016/j.jclepro.2020.121540_bib16) 2006; 38 Zhang (10.1016/j.jclepro.2020.121540_bib56) 2007; 34 He (10.1016/j.jclepro.2020.121540_bib11) 2015; 87 Tian (10.1016/j.jclepro.2020.121540_bib40) 2017; 12 Deb (10.1016/j.jclepro.2020.121540_bib6) 2014; 18 Deb (10.1016/j.jclepro.2020.121540_bib7) 2002; 6 Tamssaouet (10.1016/j.jclepro.2020.121540_bib36) 2018; 125 Zhang (10.1016/j.jclepro.2020.121540_bib58) 2017; 138 Meng (10.1016/j.jclepro.2020.121540_bib26) 2019; 4 Zhang (10.1016/j.jclepro.2020.121540_bib61) 2015; 19 Mokhtari (10.1016/j.jclepro.2020.121540_bib27) 2017; 104 Zhang (10.1016/j.jclepro.2020.121540_bib62) 2016; 369 Karimi (10.1016/j.jclepro.2020.121540_bib13) 2017; 41 Yuan (10.1016/j.jclepro.2020.121540_bib52) 2016; 20 Zitzler (10.1016/j.jclepro.2020.121540_bib64) 1999; 3 Wang (10.1016/j.jclepro.2020.121540_bib42) 2019; 135 Montgomery (10.1016/j.jclepro.2020.121540_bib28) 2008 Wang (10.1016/j.jclepro.2020.121540_bib41) 2019; 229 Rahmati (10.1016/j.jclepro.2020.121540_bib34) 2012; 58 Gao (10.1016/j.jclepro.2020.121540_bib9) 2015; 88 Liu (10.1016/j.jclepro.2020.121540_bib23) 2019; 211 Yang (10.1016/j.jclepro.2020.121540_bib48) 2019; 274 Zou (10.1016/j.jclepro.2020.121540_bib65) 2008; 38 Kovac (10.1016/j.jclepro.2020.121540_bib14) 2019; 133 Li (10.1016/j.jclepro.2020.121540_bib18) 2014; 38 Li (10.1016/j.jclepro.2020.121540_bib20) 2016; 174 Nodem (10.1016/j.jclepro.2020.121540_bib30) 2011; 57 Wu (10.1016/j.jclepro.2020.121540_bib46) 2018; 172 Zhang (10.1016/j.jclepro.2020.121540_bib59) 2007; 11 Wang (10.1016/j.jclepro.2020.121540_bib44) 2018; 271 Nouri (10.1016/j.jclepro.2020.121540_bib31) 2016; 102 Tavakkoli-Moghaddam (10.1016/j.jclepro.2020.121540_bib38) 2011; 38 Ozolins (10.1016/j.jclepro.2020.121540_bib32) 2018 Yang (10.1016/j.jclepro.2020.121540_bib49) 2010; 38 Tang (10.1016/j.jclepro.2020.121540_bib37) 2014; 11 Cai (10.1016/j.jclepro.2020.121540_bib3) 2017; 138 Liu (10.1016/j.jclepro.2020.121540_bib22) 2014; 15 Poppe (10.1016/j.jclepro.2020.121540_bib33) 2018; 268 Drouillet (10.1016/j.jclepro.2020.121540_bib8) 2016; 22 Xiao (10.1016/j.jclepro.2020.121540_bib47) 2016; 146 Zhang (10.1016/j.jclepro.2020.121540_bib60) 2015; 21 Wu (10.1016/j.jclepro.2020.121540_bib45) 2018; 10 Shen (10.1016/j.jclepro.2020.121540_bib35) 2018; 265 Meng (10.1016/j.jclepro.2020.121540_bib25) 2019; 210 Yuan (10.1016/j.jclepro.2020.121540_bib51) 2015; 96 Naderi (10.1016/j.jclepro.2020.121540_bib29) 2010; 10 Wang (10.1016/j.jclepro.2020.121540_bib43) 2010; 59 Abdelmaguid (10.1016/j.jclepro.2020.121540_bib1) 2015; 260 Lu (10.1016/j.jclepro.2020.121540_bib24) 2017; 144 Zandieh (10.1016/j.jclepro.2020.121540_bib53) 2017; 58 He (10.1016/j.jclepro.2020.121540_bib10) 2017; 150 Zeng (10.1016/j.jclepro.2020.121540_bib54) 2018; 225 Liang (10.1016/j.jclepro.2020.121540_bib21) 2015 Zeng (10.1016/j.jclepro.2020.121540_bib55) 2018; 183 Zhang (10.1016/j.jclepro.2020.121540_bib57) 2011; 38 Li (10.1016/j.jclepro.2020.121540_bib19) 2012; 218 Zhao (10.1016/j.jclepro.2020.121540_bib63) 2017; 133 Yang (10.1016/j.jclepro.2020.121540_bib50) 2016; 11 Lacomme (10.1016/j.jclepro.2020.121540_bib15) 2013; 143 Dai (10.1016/j.jclepro.2020.121540_bib5) 2019; 59 Tavana (10.1016/j.jclepro.2020.121540_bib39) 2016; 50 |
| References_xml | – volume: 12 start-page: 73 year: 2017 end-page: 87 ident: bib40 article-title: Platemo: a MATLAB platform for evolutionary multi-objective optimization publication-title: IEEE Comput. Intell. Mag. – volume: 172 start-page: 3249 year: 2018 end-page: 3264 ident: bib46 article-title: A green scheduling algorithm for flexible job shop with energy-saving measures publication-title: J. Clean. Prod. – volume: 38 start-page: 1402 year: 2008 end-page: 1412 ident: bib65 article-title: A new evolutionary algorithm for solving many-objective optimization problems publication-title: IEEE Trans. Syst. Man Cybern. B Cybern. – volume: 143 start-page: 24 year: 2013 end-page: 34 ident: bib15 article-title: Job-shop based framework for simultaneous scheduling of machines and automated guided vehicles publication-title: Int. J. Prod. Econ. – volume: 11 start-page: 712 year: 2007 end-page: 731 ident: bib59 article-title: MOEA/D: a multiobjective evolutionary algorithm based on decomposition publication-title: IEEE Trans. Evol. Comput. – volume: 138 start-page: 332 year: 2017 end-page: 347 ident: bib3 article-title: A tool for assessing the energy demand and efficiency of machining systems: energy benchmarking publication-title: Energy – volume: 133 start-page: 142 year: 2017 end-page: 157 ident: bib63 article-title: Energy consumption in machining: classification, prediction, and reduction strategy publication-title: Energy – volume: 18 start-page: 577 year: 2014 end-page: 601 ident: bib6 article-title: An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, part I: solving problems with box constraints publication-title: IEEE Trans. Evol. Comput. – volume: 38 start-page: 10812 year: 2011 end-page: 10821 ident: bib38 article-title: A new hybrid multi-objective pareto archive pso algorithm for a bi-objective job shop scheduling problem publication-title: Expert Syst. Appl. – volume: 104 start-page: 339 year: 2017 end-page: 352 ident: bib27 article-title: An energy-efficient multi-objective optimization for flexible job-shop scheduling problem publication-title: Comput. Chem. Eng. – volume: 19 start-page: 201 year: 2015 end-page: 213 ident: bib61 article-title: An efficient approach to nondominated sorting for evolutionary multiobjective optimization publication-title: IEEE Trans. Evol. Comput. – volume: 210 start-page: 710 year: 2019 end-page: 723 ident: bib25 article-title: Milp models for energy-aware flexible job shop scheduling problem publication-title: J. Clean. Prod. – volume: 41 start-page: 667 year: 2017 end-page: 682 ident: bib13 article-title: Scheduling flexible job-shops with transportation times: mathematical models and a hybrid imperialist competitive algorithm publication-title: Appl. Math. Model. – volume: 135 start-page: 626 year: 2019 end-page: 634 ident: bib42 article-title: Optimizing wind turbine’s maintenance policies under performance-based contract publication-title: Renew. Energy – volume: 38 start-page: 528 year: 2010 end-page: 533 ident: bib49 article-title: Minimizing the makespan on single-machine scheduling with aging effect and variable maintenance activities publication-title: Omega – volume: 87 start-page: 245 year: 2015 end-page: 254 ident: bib11 article-title: An energy-responsive optimization method for machine tool selection and operation sequence in flexible machining job shops publication-title: J. Clean. Prod. – volume: 218 start-page: 9353 year: 2012 end-page: 9371 ident: bib19 article-title: An effective shuffled frog-leaping algorithm for multi-objective flexible job shop scheduling problems publication-title: Appl. Math. Comput. – start-page: 1 year: 2018 end-page: 28 ident: bib32 article-title: Bounded dynamic programming algorithm for the job shop problem with sequence dependent setup times publication-title: Oper. Res. Int. J. – volume: 11 start-page: 1110 year: 2014 end-page: 1121 ident: bib37 article-title: Using Lagrangian relaxation decomposition with heuristic to integrate the decisions of cell formation and parts scheduling considering intercell moves publication-title: IEEE Trans. Autom. Sci. Eng. – volume: 20 start-page: 16 year: 2016 end-page: 37 ident: bib52 article-title: A new dominance relation based evolutionary algorithm for many-objective optimization publication-title: IEEE Trans. Evol. Comput. – volume: 58 start-page: 449 year: 2017 end-page: 464 ident: bib53 article-title: Flexible job shop scheduling under condition-based maintenance: improved version of imperialist competitive algorithm publication-title: Appl. Soft Comput. – volume: 59 start-page: 143 year: 2019 end-page: 157 ident: bib5 article-title: Multi-objective optimization for energy-efficient flexible job shop scheduling problem with transportation constraints publication-title: Robot. Comput.-Integr. Manuf. – volume: 144 start-page: 228 year: 2017 end-page: 238 ident: bib24 article-title: Energy-efficient permutation flow shop scheduling problem using a hybrid multi-objective backtracking search algorithm publication-title: J. Clean. Prod. – volume: 10 start-page: 703 year: 2010 end-page: 710 ident: bib29 article-title: A high performing meta-heuristic for job-shop scheduling with sequence-dependent setup times publication-title: Appl. Soft Comput. – volume: 133 start-page: 320 year: 2019 end-page: 327 ident: bib14 article-title: Using the temperature method for the prediction of tool life in sustainable production publication-title: Measurement – volume: 38 start-page: 18 year: 2014 end-page: 27 ident: bib12 article-title: Tool life prediction using bayesian updating. Part 2: turning tool life using a Markov chain Monte Carlo approach publication-title: Precis. Eng. – volume: 146 start-page: 68 year: 2016 end-page: 78 ident: bib47 article-title: Joint optimization of production scheduling and machine group preventive maintenance publication-title: Reliab. Eng. Syst. Saf. – volume: 34 start-page: 3229 year: 2007 end-page: 3242 ident: bib56 article-title: A tabu search algorithm with a new neighborhood structure for the job shop scheduling problem publication-title: Comput. Oper. Res. – volume: 260 start-page: 188 year: 2015 end-page: 203 ident: bib1 article-title: A neighborhood search function for flexible job shop scheduling with separable sequence-dependent setup times publication-title: Appl. Math. Comput. – year: 2008 ident: bib28 article-title: Design & Analysis of Experiments – volume: 102 start-page: 440 year: 2016 end-page: 451 ident: bib4 article-title: Optimisation of preventive maintenance grouping strategy for multi-component series systems: particle swarm based approach publication-title: Comput. Ind. Eng. – volume: 229 start-page: 1004 year: 2019 end-page: 1017 ident: bib41 article-title: Minimizing total carbon emissions in an integrated machine scheduling and vehicle routing problem publication-title: J. Clean. Prod. – year: 2015 ident: bib21 article-title: An ant optimization model for unrelated parallel machine scheduling with energy consumption and total tardiness publication-title: Math. Probl Eng. – volume: 6 start-page: 182 year: 2002 end-page: 197 ident: bib7 article-title: A fast and elitist multi-objective genetic algorithm: NSGA-II publication-title: IEEE Trans. Evol. Comput. – volume: 183 start-page: 925 year: 2018 end-page: 939 ident: bib55 article-title: Multi-object optimization of flexible flow shop scheduling with batch processdconsideration total electricity consumption and material wastage publication-title: J. Clean. Prod. – volume: 50 start-page: 17 year: 2016 end-page: 39 ident: bib39 article-title: Multi-objective control chart design optimization using NSGA-III and MOPSO enhanced with DEA and TOPSIS publication-title: Expert Syst. Appl. – volume: 38 start-page: 3563 year: 2011 end-page: 3573 ident: bib57 article-title: An effective genetic algorithm for the flexible job-shop scheduling problem publication-title: Expert Syst. Appl. – volume: 271 start-page: 826 year: 2018 end-page: 838 ident: bib44 article-title: A branch-and-price algorithm for scheduling of deteriorating jobs and flexible periodic maintenance on a single machine publication-title: Eur. J. Oper. Res. – volume: 102 start-page: 488 year: 2016 end-page: 501 ident: bib31 article-title: Simultaneous scheduling of machines and transport robots in flexible job shop environment using hybrid metaheuristics based on clustered holonic multiagent model publication-title: Comput. Ind. Eng. – volume: 174 start-page: 93 year: 2016 end-page: 110 ident: bib20 article-title: An effective hybrid genetic algorithm and tabu search for flexible job shop scheduling problem publication-title: Int. J. Prod. Econ. – volume: 11 start-page: 1 year: 2016 end-page: 13 ident: bib50 article-title: Bi-objective flexible job-shop scheduling problem considering energy consumption under stochastic processing times publication-title: PloS One – volume: 4 start-page: 1119 year: 2019 end-page: 1145 ident: bib26 article-title: Mathematical modelling and optimisation of energy-conscious hybrid flow shop scheduling problem with unrelated parallel machines publication-title: Int. J. Prod. Res. – volume: 125 start-page: 1 year: 2018 end-page: 8 ident: bib36 article-title: Metaheuristics for the job-shop scheduling problem with machine availability constraints publication-title: Comput. Ind. Eng. – volume: 15 start-page: 62 year: 2014 end-page: 67 ident: bib22 article-title: Fuzzy reliability estimation for eutting tools publication-title: CIRP Conf. Life Cycle Eng. – volume: 22 start-page: 161 year: 2016 end-page: 168 ident: bib8 article-title: Tool life predictions in milling using spindle power with the neural network technique publication-title: J. Manuf. Process. – volume: 57 start-page: 827 year: 2011 end-page: 840 ident: bib30 article-title: Production planning and repair/replacement switching policy for deteriorating manufacturing systems publication-title: Int. J. Adv. Manuf. Technol. – volume: 88 start-page: 417 year: 2015 end-page: 429 ident: bib9 article-title: A hybrid algorithm based on a new neighborhood structure evaluation method for job shop scheduling problem publication-title: Comput. Ind. Eng. – volume: 59 start-page: 436 year: 2010 end-page: 447 ident: bib43 article-title: An effective heuristic for flexible job-shop scheduling problem with maintenance activities publication-title: Comput. Ind. Eng. – volume: 265 start-page: 503 year: 2018 end-page: 516 ident: bib35 article-title: Solving the flexible job shop scheduling problem with sequence-dependent setup times publication-title: Eur. J. Oper. Res. – volume: 225 start-page: 542 year: 2018 end-page: 558 ident: bib54 article-title: Integrating process optimization with energy-efficiency scheduling to save energy for paper mills publication-title: Appl. Energy – volume: 21 start-page: 1579 year: 2015 end-page: 1584 ident: bib60 article-title: Tool reliability and life assessment for machine tools publication-title: Comput. Integr. Manuf. Syst. – volume: 61 start-page: 459 year: 2012 end-page: 462 ident: bib2 article-title: Energy-aware scheduling for improving manufacturing process sustainability: a mathematical model for flexible flow shops publication-title: CIRP Ann. - Manuf. Technol. – volume: 138 start-page: 210 year: 2017 end-page: 227 ident: bib58 article-title: Mathematical modeling and evolutionary generation of rule sets for energy-efficient flexible job shops publication-title: Energy – volume: 369 start-page: 14 year: 2016 end-page: 33 ident: bib62 article-title: Approximate non-dominated sorting for evolutionary many-objective optimization publication-title: Inf. Sci. – volume: 274 start-page: 966 year: 2019 end-page: 977 ident: bib48 article-title: A two-phase preventive maintenance policy considering imperfect repair and postponed replacement publication-title: Eur. J. Oper. Res. – volume: 3 start-page: 257 year: 1999 end-page: 271 ident: bib64 article-title: Multiobjective evolutionary algorithms: a comparative case study and the strength pareto approach publication-title: IEEE Trans. Evol. Comput. – volume: 38 start-page: 621 year: 2006 end-page: 625 ident: bib16 article-title: A note on ‘‘a bivariate optimal replacement policy for a repairable system’’ publication-title: Eng. Optim. – volume: 211 start-page: 765 year: 2019 end-page: 786 ident: bib23 article-title: Integrated green scheduling optimization of flexible job shop and crane transportation considering comprehensive energy consumption publication-title: J. Clean. Prod. – volume: 150 start-page: 47 year: 2017 end-page: 57 ident: bib10 article-title: A new lightweight design method integrating shape optimization with life cycle assessment for extrusion dies publication-title: J. Clean. Prod. – volume: 58 start-page: 1115 year: 2012 end-page: 1129 ident: bib34 article-title: A new biogeography-based optimization (BBO) algorithm for the flexible job shop scheduling problem publication-title: Int. J. Adv. Manuf. Technol. – volume: 10 start-page: 841 year: 2018 ident: bib45 article-title: Multi-objective flexible flow shop scheduling problem considering variable processing time due to renewable energy publication-title: Sustainability – volume: 268 start-page: 515 year: 2018 end-page: 532 ident: bib33 article-title: A hybrid condition-based maintenance policy for continuously monitored components with two degradation thresholds publication-title: Eur. J. Oper. Res. – volume: 96 start-page: 568 year: 2015 end-page: 578 ident: bib51 article-title: An extended NSGA-III for solution multi-objective hydrothermal-wind scheduling considering wind power cost publication-title: Energy Conv. Manag. – volume: 38 start-page: 1111 year: 2014 end-page: 1132 ident: bib18 article-title: A discrete artificial bee colony algorithm for the multi-objective flexible job-shop scheduling problem with maintenance activities publication-title: Appl. Math. Model. – volume: 3 start-page: 257 year: 1999 ident: 10.1016/j.jclepro.2020.121540_bib64 article-title: Multiobjective evolutionary algorithms: a comparative case study and the strength pareto approach publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/4235.797969 – volume: 15 start-page: 62 year: 2014 ident: 10.1016/j.jclepro.2020.121540_bib22 article-title: Fuzzy reliability estimation for eutting tools publication-title: CIRP Conf. Life Cycle Eng. – volume: 229 start-page: 1004 year: 2019 ident: 10.1016/j.jclepro.2020.121540_bib41 article-title: Minimizing total carbon emissions in an integrated machine scheduling and vehicle routing problem publication-title: J. Clean. Prod. doi: 10.1016/j.jclepro.2019.04.344 – volume: 38 start-page: 621 year: 2006 ident: 10.1016/j.jclepro.2020.121540_bib16 article-title: A note on ‘‘a bivariate optimal replacement policy for a repairable system’’ publication-title: Eng. Optim. doi: 10.1080/03052150500431683 – year: 2015 ident: 10.1016/j.jclepro.2020.121540_bib21 article-title: An ant optimization model for unrelated parallel machine scheduling with energy consumption and total tardiness publication-title: Math. Probl Eng. doi: 10.1155/2015/907034 – volume: 225 start-page: 542 year: 2018 ident: 10.1016/j.jclepro.2020.121540_bib54 article-title: Integrating process optimization with energy-efficiency scheduling to save energy for paper mills publication-title: Appl. Energy doi: 10.1016/j.apenergy.2018.05.051 – volume: 59 start-page: 143 year: 2019 ident: 10.1016/j.jclepro.2020.121540_bib5 article-title: Multi-objective optimization for energy-efficient flexible job shop scheduling problem with transportation constraints publication-title: Robot. Comput.-Integr. Manuf. doi: 10.1016/j.rcim.2019.04.006 – volume: 4 start-page: 1119 year: 2019 ident: 10.1016/j.jclepro.2020.121540_bib26 article-title: Mathematical modelling and optimisation of energy-conscious hybrid flow shop scheduling problem with unrelated parallel machines publication-title: Int. J. Prod. Res. doi: 10.1080/00207543.2018.1501166 – volume: 146 start-page: 68 year: 2016 ident: 10.1016/j.jclepro.2020.121540_bib47 article-title: Joint optimization of production scheduling and machine group preventive maintenance publication-title: Reliab. Eng. Syst. Saf. doi: 10.1016/j.ress.2015.10.013 – volume: 19 start-page: 201 year: 2015 ident: 10.1016/j.jclepro.2020.121540_bib61 article-title: An efficient approach to nondominated sorting for evolutionary multiobjective optimization publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2014.2308305 – volume: 58 start-page: 449 year: 2017 ident: 10.1016/j.jclepro.2020.121540_bib53 article-title: Flexible job shop scheduling under condition-based maintenance: improved version of imperialist competitive algorithm publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2017.04.060 – volume: 34 start-page: 3229 year: 2007 ident: 10.1016/j.jclepro.2020.121540_bib56 article-title: A tabu search algorithm with a new neighborhood structure for the job shop scheduling problem publication-title: Comput. Oper. Res. doi: 10.1016/j.cor.2005.12.002 – volume: 144 start-page: 228 year: 2017 ident: 10.1016/j.jclepro.2020.121540_bib24 article-title: Energy-efficient permutation flow shop scheduling problem using a hybrid multi-objective backtracking search algorithm publication-title: J. Clean. Prod. doi: 10.1016/j.jclepro.2017.01.011 – volume: 10 start-page: 703 year: 2010 ident: 10.1016/j.jclepro.2020.121540_bib29 article-title: A high performing meta-heuristic for job-shop scheduling with sequence-dependent setup times publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2009.08.039 – volume: 102 start-page: 488 year: 2016 ident: 10.1016/j.jclepro.2020.121540_bib31 article-title: Simultaneous scheduling of machines and transport robots in flexible job shop environment using hybrid metaheuristics based on clustered holonic multiagent model publication-title: Comput. Ind. Eng. doi: 10.1016/j.cie.2016.02.024 – volume: 58 start-page: 1115 year: 2012 ident: 10.1016/j.jclepro.2020.121540_bib34 article-title: A new biogeography-based optimization (BBO) algorithm for the flexible job shop scheduling problem publication-title: Int. J. Adv. Manuf. Technol. doi: 10.1007/s00170-011-3437-9 – volume: 12 start-page: 73 year: 2017 ident: 10.1016/j.jclepro.2020.121540_bib40 article-title: Platemo: a MATLAB platform for evolutionary multi-objective optimization publication-title: IEEE Comput. Intell. Mag. doi: 10.1109/MCI.2017.2742868 – volume: 133 start-page: 320 year: 2019 ident: 10.1016/j.jclepro.2020.121540_bib14 article-title: Using the temperature method for the prediction of tool life in sustainable production publication-title: Measurement doi: 10.1016/j.measurement.2018.09.074 – volume: 96 start-page: 568 year: 2015 ident: 10.1016/j.jclepro.2020.121540_bib51 article-title: An extended NSGA-III for solution multi-objective hydrothermal-wind scheduling considering wind power cost publication-title: Energy Conv. Manag. doi: 10.1016/j.enconman.2015.03.009 – volume: 6 start-page: 182 year: 2002 ident: 10.1016/j.jclepro.2020.121540_bib7 article-title: A fast and elitist multi-objective genetic algorithm: NSGA-II publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/4235.996017 – volume: 135 start-page: 626 year: 2019 ident: 10.1016/j.jclepro.2020.121540_bib42 article-title: Optimizing wind turbine’s maintenance policies under performance-based contract publication-title: Renew. Energy doi: 10.1016/j.renene.2018.12.006 – volume: 102 start-page: 440 year: 2016 ident: 10.1016/j.jclepro.2020.121540_bib4 article-title: Optimisation of preventive maintenance grouping strategy for multi-component series systems: particle swarm based approach publication-title: Comput. Ind. Eng. doi: 10.1016/j.cie.2016.04.018 – volume: 174 start-page: 93 year: 2016 ident: 10.1016/j.jclepro.2020.121540_bib20 article-title: An effective hybrid genetic algorithm and tabu search for flexible job shop scheduling problem publication-title: Int. J. Prod. Econ. doi: 10.1016/j.ijpe.2016.01.016 – volume: 38 start-page: 528 year: 2010 ident: 10.1016/j.jclepro.2020.121540_bib49 article-title: Minimizing the makespan on single-machine scheduling with aging effect and variable maintenance activities publication-title: Omega doi: 10.1016/j.omega.2010.01.003 – volume: 211 start-page: 765 year: 2019 ident: 10.1016/j.jclepro.2020.121540_bib23 article-title: Integrated green scheduling optimization of flexible job shop and crane transportation considering comprehensive energy consumption publication-title: J. Clean. Prod. doi: 10.1016/j.jclepro.2018.11.231 – volume: 11 start-page: 1 year: 2016 ident: 10.1016/j.jclepro.2020.121540_bib50 article-title: Bi-objective flexible job-shop scheduling problem considering energy consumption under stochastic processing times publication-title: PloS One – volume: 11 start-page: 1110 year: 2014 ident: 10.1016/j.jclepro.2020.121540_bib37 article-title: Using Lagrangian relaxation decomposition with heuristic to integrate the decisions of cell formation and parts scheduling considering intercell moves publication-title: IEEE Trans. Autom. Sci. Eng. doi: 10.1109/TASE.2014.2325860 – volume: 274 start-page: 966 year: 2019 ident: 10.1016/j.jclepro.2020.121540_bib48 article-title: A two-phase preventive maintenance policy considering imperfect repair and postponed replacement publication-title: Eur. J. Oper. Res. doi: 10.1016/j.ejor.2018.10.049 – year: 2008 ident: 10.1016/j.jclepro.2020.121540_bib28 – volume: 41 start-page: 667 year: 2017 ident: 10.1016/j.jclepro.2020.121540_bib13 article-title: Scheduling flexible job-shops with transportation times: mathematical models and a hybrid imperialist competitive algorithm publication-title: Appl. Math. Model. doi: 10.1016/j.apm.2016.09.022 – volume: 218 start-page: 9353 year: 2012 ident: 10.1016/j.jclepro.2020.121540_bib19 article-title: An effective shuffled frog-leaping algorithm for multi-objective flexible job shop scheduling problems publication-title: Appl. Math. Comput. – volume: 38 start-page: 10812 year: 2011 ident: 10.1016/j.jclepro.2020.121540_bib38 article-title: A new hybrid multi-objective pareto archive pso algorithm for a bi-objective job shop scheduling problem publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2011.02.050 – volume: 150 start-page: 47 year: 2017 ident: 10.1016/j.jclepro.2020.121540_bib10 article-title: A new lightweight design method integrating shape optimization with life cycle assessment for extrusion dies publication-title: J. Clean. Prod. doi: 10.1016/j.jclepro.2017.02.186 – volume: 138 start-page: 210 year: 2017 ident: 10.1016/j.jclepro.2020.121540_bib58 article-title: Mathematical modeling and evolutionary generation of rule sets for energy-efficient flexible job shops publication-title: Energy doi: 10.1016/j.energy.2017.07.005 – volume: 138 start-page: 332 year: 2017 ident: 10.1016/j.jclepro.2020.121540_bib3 article-title: A tool for assessing the energy demand and efficiency of machining systems: energy benchmarking publication-title: Energy doi: 10.1016/j.energy.2017.07.039 – volume: 265 start-page: 503 year: 2018 ident: 10.1016/j.jclepro.2020.121540_bib35 article-title: Solving the flexible job shop scheduling problem with sequence-dependent setup times publication-title: Eur. J. Oper. Res. doi: 10.1016/j.ejor.2017.08.021 – volume: 260 start-page: 188 year: 2015 ident: 10.1016/j.jclepro.2020.121540_bib1 article-title: A neighborhood search function for flexible job shop scheduling with separable sequence-dependent setup times publication-title: Appl. Math. Comput. – volume: 50 start-page: 17 year: 2016 ident: 10.1016/j.jclepro.2020.121540_bib39 article-title: Multi-objective control chart design optimization using NSGA-III and MOPSO enhanced with DEA and TOPSIS publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2015.11.007 – volume: 21 start-page: 1579 year: 2015 ident: 10.1016/j.jclepro.2020.121540_bib60 article-title: Tool reliability and life assessment for machine tools publication-title: Comput. Integr. Manuf. Syst. – volume: 61 start-page: 459 year: 2012 ident: 10.1016/j.jclepro.2020.121540_bib2 article-title: Energy-aware scheduling for improving manufacturing process sustainability: a mathematical model for flexible flow shops publication-title: CIRP Ann. - Manuf. Technol. doi: 10.1016/j.cirp.2012.03.084 – volume: 20 start-page: 16 year: 2016 ident: 10.1016/j.jclepro.2020.121540_bib52 article-title: A new dominance relation based evolutionary algorithm for many-objective optimization publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2015.2420112 – volume: 59 start-page: 436 year: 2010 ident: 10.1016/j.jclepro.2020.121540_bib43 article-title: An effective heuristic for flexible job-shop scheduling problem with maintenance activities publication-title: Comput. Ind. Eng. doi: 10.1016/j.cie.2010.05.016 – volume: 87 start-page: 245 year: 2015 ident: 10.1016/j.jclepro.2020.121540_bib11 article-title: An energy-responsive optimization method for machine tool selection and operation sequence in flexible machining job shops publication-title: J. Clean. Prod. doi: 10.1016/j.jclepro.2014.10.006 – volume: 268 start-page: 515 year: 2018 ident: 10.1016/j.jclepro.2020.121540_bib33 article-title: A hybrid condition-based maintenance policy for continuously monitored components with two degradation thresholds publication-title: Eur. J. Oper. Res. doi: 10.1016/j.ejor.2018.01.039 – volume: 38 start-page: 1402 year: 2008 ident: 10.1016/j.jclepro.2020.121540_bib65 article-title: A new evolutionary algorithm for solving many-objective optimization problems publication-title: IEEE Trans. Syst. Man Cybern. B Cybern. doi: 10.1109/TSMCB.2008.926329 – volume: 38 start-page: 18 year: 2014 ident: 10.1016/j.jclepro.2020.121540_bib12 article-title: Tool life prediction using bayesian updating. Part 2: turning tool life using a Markov chain Monte Carlo approach publication-title: Precis. Eng. doi: 10.1016/j.precisioneng.2013.06.007 – volume: 210 start-page: 710 year: 2019 ident: 10.1016/j.jclepro.2020.121540_bib25 article-title: Milp models for energy-aware flexible job shop scheduling problem publication-title: J. Clean. Prod. doi: 10.1016/j.jclepro.2018.11.021 – volume: 104 start-page: 339 year: 2017 ident: 10.1016/j.jclepro.2020.121540_bib27 article-title: An energy-efficient multi-objective optimization for flexible job-shop scheduling problem publication-title: Comput. Chem. Eng. doi: 10.1016/j.compchemeng.2017.05.004 – volume: 88 start-page: 417 year: 2015 ident: 10.1016/j.jclepro.2020.121540_bib9 article-title: A hybrid algorithm based on a new neighborhood structure evaluation method for job shop scheduling problem publication-title: Comput. Ind. Eng. doi: 10.1016/j.cie.2015.08.002 – volume: 38 start-page: 3563 year: 2011 ident: 10.1016/j.jclepro.2020.121540_bib57 article-title: An effective genetic algorithm for the flexible job-shop scheduling problem publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2010.08.145 – volume: 125 start-page: 1 year: 2018 ident: 10.1016/j.jclepro.2020.121540_bib36 article-title: Metaheuristics for the job-shop scheduling problem with machine availability constraints publication-title: Comput. Ind. Eng. doi: 10.1016/j.cie.2018.08.008 – volume: 10 start-page: 841 year: 2018 ident: 10.1016/j.jclepro.2020.121540_bib45 article-title: Multi-objective flexible flow shop scheduling problem considering variable processing time due to renewable energy publication-title: Sustainability doi: 10.3390/su10030841 – start-page: 1 year: 2018 ident: 10.1016/j.jclepro.2020.121540_bib32 article-title: Bounded dynamic programming algorithm for the job shop problem with sequence dependent setup times publication-title: Oper. Res. Int. J. – volume: 133 start-page: 142 year: 2017 ident: 10.1016/j.jclepro.2020.121540_bib63 article-title: Energy consumption in machining: classification, prediction, and reduction strategy publication-title: Energy doi: 10.1016/j.energy.2017.05.110 – volume: 22 start-page: 161 year: 2016 ident: 10.1016/j.jclepro.2020.121540_bib8 article-title: Tool life predictions in milling using spindle power with the neural network technique publication-title: J. Manuf. Process. doi: 10.1016/j.jmapro.2016.03.010 – volume: 172 start-page: 3249 year: 2018 ident: 10.1016/j.jclepro.2020.121540_bib46 article-title: A green scheduling algorithm for flexible job shop with energy-saving measures publication-title: J. Clean. Prod. doi: 10.1016/j.jclepro.2017.10.342 – volume: 369 start-page: 14 year: 2016 ident: 10.1016/j.jclepro.2020.121540_bib62 article-title: Approximate non-dominated sorting for evolutionary many-objective optimization publication-title: Inf. Sci. doi: 10.1016/j.ins.2016.06.007 – volume: 143 start-page: 24 year: 2013 ident: 10.1016/j.jclepro.2020.121540_bib15 article-title: Job-shop based framework for simultaneous scheduling of machines and automated guided vehicles publication-title: Int. J. Prod. Econ. doi: 10.1016/j.ijpe.2010.07.012 – volume: 38 start-page: 1111 year: 2014 ident: 10.1016/j.jclepro.2020.121540_bib18 article-title: A discrete artificial bee colony algorithm for the multi-objective flexible job-shop scheduling problem with maintenance activities publication-title: Appl. Math. Model. doi: 10.1016/j.apm.2013.07.038 – volume: 57 start-page: 827 year: 2011 ident: 10.1016/j.jclepro.2020.121540_bib30 article-title: Production planning and repair/replacement switching policy for deteriorating manufacturing systems publication-title: Int. J. Adv. Manuf. Technol. doi: 10.1007/s00170-011-3327-1 – volume: 183 start-page: 925 year: 2018 ident: 10.1016/j.jclepro.2020.121540_bib55 article-title: Multi-object optimization of flexible flow shop scheduling with batch processdconsideration total electricity consumption and material wastage publication-title: J. Clean. Prod. doi: 10.1016/j.jclepro.2018.02.224 – volume: 18 start-page: 577 year: 2014 ident: 10.1016/j.jclepro.2020.121540_bib6 article-title: An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, part I: solving problems with box constraints publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2013.2281535 – volume: 271 start-page: 826 year: 2018 ident: 10.1016/j.jclepro.2020.121540_bib44 article-title: A branch-and-price algorithm for scheduling of deteriorating jobs and flexible periodic maintenance on a single machine publication-title: Eur. J. Oper. Res. doi: 10.1016/j.ejor.2018.05.050 – volume: 11 start-page: 712 year: 2007 ident: 10.1016/j.jclepro.2020.121540_bib59 article-title: MOEA/D: a multiobjective evolutionary algorithm based on decomposition publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2007.892759 |
| SSID | ssj0017074 |
| Score | 2.5270295 |
| Snippet | With the increase in awareness of energy conservation and emission reduction in the manufacturing sector, the energy efficiency optimization of the production... |
| SourceID | proquest crossref elsevier |
| SourceType | Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 121540 |
| SubjectTerms | algorithms energy conservation energy efficiency Hybrid multi-objective evolutionary algorithm Imperfect cutting tool maintenance Production scheduling sustainable development Total energy consumption transportation |
| Title | A hybrid multi-objective evolutionary algorithm to integrate optimization of the production scheduling and imperfect cutting tool maintenance considering total energy consumption |
| URI | https://dx.doi.org/10.1016/j.jclepro.2020.121540 https://www.proquest.com/docview/2439413763 |
| Volume | 268 |
| WOSCitedRecordID | wos000561594800003&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: PRVESC databaseName: Elsevier SD Freedom Collection Journals 2021 customDbUrl: eissn: 1879-1786 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017074 issn: 0959-6526 databaseCode: AIEXJ dateStart: 19950101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lj5swELbSbA_toepTu31pKlW9RKRAAMMxWmXVrqK0h6yUnpAxpkmUAM1CtP1b-ws7xuah7Fa7PfSCkMHG6PuwB3u-GUI-Ct-JceKLDMtNqOEw6hiRZ3GDjYTJI9emjMdVsgk6m_mLRfC917uutTD7DU1T_-oqyP8r1FiGYEvp7D_A3TSKBXiOoOMRYcfjvYAfD5a_pQxL-QoaWbRWY9pA7PVzpaMc2_zMdqtiuZXGZxMzYpDhCLLV0szafSBXQWFlCf4K49S0qYWNK7S5d1X0Y14q_-lChvTcMtlgWokRuE4Iqi5K5aVQakNeaT_zhhc3DWR8L4b3dp7frllUM0dWrsum7FTLTBYrli3L1Y0F8fOmaFo5MPzAHi1Fd9ED_3DlPpB5sHrpuUpsXw_ktucP8ipchmMat04PaqViPVzjG2Dnh7JpXaGdD2sfgNm38OxiOg3nk8X8U_7LkJnK5I6-TtvygBzZ1A38Pjkaf50szpu9K2qq2N91F1vd2Odbn_w3i-jANqgMnvlT8kQDAWPFsGekJ9Ln5HEnfuULcj0GxTU44Bp0uQYN16DIoOEadLkGWQLINWixhpZrgFyDhmuguQaSa9DhGnS4BhXXQHENOlx7SS7OJvPTL4ZOAmLwkWMXBouZ7SSBm1g8SGK0X9FeT_CSh__hguHY4ksj3mJWwtzEFB61_cjlcWC5PAhiazR6RfpplopjAlhPZsmKvIjGjmAiiKnlmZw5iKKZUHZCnBqIkOsI-TJRyyasXSHXocYvlPiFCr8TMmyq5SpEzF0V_BrlUNu5yn4Nkad3Vf1QsyLEeUBu7uGXmJWXoS0l7pY0F17f45435FH7Wb0l_WJXinfkId8Xq8vde83oP-2f5Bs |
| linkProvider | Elsevier |
| 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+hybrid+multi-objective+evolutionary+algorithm+to+integrate+optimization+of+the+production+scheduling+and+imperfect+cutting+tool+maintenance+considering+total+energy+consumption&rft.jtitle=Journal+of+cleaner+production&rft.au=An%2C+Youjun&rft.au=Chen%2C+Xiaohui&rft.au=Zhang%2C+Ji&rft.au=Li%2C+Yinghe&rft.date=2020-09-20&rft.issn=0959-6526&rft.volume=268+p.121540-&rft_id=info:doi/10.1016%2Fj.jclepro.2020.121540&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0959-6526&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0959-6526&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0959-6526&client=summon |