Multi-objective optimization for energy-efficient hybrid flow shop scheduling problem in panel furniture intelligent manufacturing with transportation constraints
The manufacture of customized panel furniture today faces significant environmental challenges in terms of energy consumption and the associated impact on the environment. From an operations management perspective, the energy efficiency of production systems is greatly influenced by production sched...
Gespeichert in:
| Veröffentlicht in: | Expert systems with applications Jg. 274; S. 126830 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Elsevier Ltd
15.05.2025
|
| Schlagworte: | |
| ISSN: | 0957-4174 |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Abstract | The manufacture of customized panel furniture today faces significant environmental challenges in terms of energy consumption and the associated impact on the environment. From an operations management perspective, the energy efficiency of production systems is greatly influenced by production scheduling. Therefore, to solve the problem of energy-efficient hybrid flow shop scheduling problem (HFSP) for panel furniture manufacturing, we construct a standard mathematical model to trade-off between makespan and total energy consumption. A hybrid VNS-NSGA-II algorithm is proposed, which combines the variable neighborhood search (VNS) and the non-dominated sorting genetic algorithm II (NSGA-II) based on double chain coding and the greedy insertion method decoding rule, aiming to provide a set of compromise solutions. To evaluate the effectiveness of this algorithm, the performance results are analyzed with other five multi-objective optimization algorithms (MOEA/D, SPEA2, MOPSO, MOSA and AdaW). The VNS-NSGA-II algorithm provides promising results for HFSP in panel furniture manufacturing. In addition, the results of the optimal scheduling scheme obtained through the decision-making method are used to evaluate the performance of the proposed model and algorithm in a real-world panel furniture manufacturing scenario. This may provide valuable insights for furniture companies in developing energy-efficient scheduling management. |
|---|---|
| AbstractList | The manufacture of customized panel furniture today faces significant environmental challenges in terms of energy consumption and the associated impact on the environment. From an operations management perspective, the energy efficiency of production systems is greatly influenced by production scheduling. Therefore, to solve the problem of energy-efficient hybrid flow shop scheduling problem (HFSP) for panel furniture manufacturing, we construct a standard mathematical model to trade-off between makespan and total energy consumption. A hybrid VNS-NSGA-II algorithm is proposed, which combines the variable neighborhood search (VNS) and the non-dominated sorting genetic algorithm II (NSGA-II) based on double chain coding and the greedy insertion method decoding rule, aiming to provide a set of compromise solutions. To evaluate the effectiveness of this algorithm, the performance results are analyzed with other five multi-objective optimization algorithms (MOEA/D, SPEA2, MOPSO, MOSA and AdaW). The VNS-NSGA-II algorithm provides promising results for HFSP in panel furniture manufacturing. In addition, the results of the optimal scheduling scheme obtained through the decision-making method are used to evaluate the performance of the proposed model and algorithm in a real-world panel furniture manufacturing scenario. This may provide valuable insights for furniture companies in developing energy-efficient scheduling management. |
| ArticleNumber | 126830 |
| Author | Xu, Xiutong Yang, Lujie Xiong, Xianqing Yue, Xinyi Zhang, Mei |
| Author_xml | – sequence: 1 givenname: Xinyi surname: Yue fullname: Yue, Xinyi organization: College of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing 210037, PR China – sequence: 2 givenname: Xianqing orcidid: 0000-0002-1877-2805 surname: Xiong fullname: Xiong, Xianqing email: xiongxianqing@njfu.edu.cn organization: College of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing 210037, PR China – sequence: 3 givenname: Mei surname: Zhang fullname: Zhang, Mei organization: College of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing 210037, PR China – sequence: 4 givenname: Xiutong orcidid: 0000-0002-7069-7523 surname: Xu fullname: Xu, Xiutong organization: College of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing 210037, PR China – sequence: 5 givenname: Lujie surname: Yang fullname: Yang, Lujie organization: College of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing 210037, PR China |
| BookMark | eNp9kc1OAyEQxzlo4ucLeOIFtgJduruJF2P8SjRe9EwoHdppKGyAtamP45PKZj158MTkT37D8JszcuSDB0KuOJtxxhfX2xmkvZ4JJuSMi0U7Z0fklHWyqWre1CfkLKUtY7xhrDkl36-Dy1iF5RZMxk-goc-4wy-dMXhqQ6TgIa4PFViLBsFnujksI66odWFP0yb0NJkNrAaHfk37GJYOdhQ97bUHR-0QPeYhQokyOIfrscVO-8FqU_IR2mPe0By1T32IeXrZBJ9KVKB0QY6tdgkuf89z8vFw_373VL28PT7f3b5URsg2V6az0DX1UgoB0HJma9axtjayFlbabsGFZcLMZVuKhS53XEKnG26trJsia35O2qmviSGlCFYZnKYZB3GKMzX6VVs1-lWjXzX5Laj4g_YRdzoe_oduJgjKpz4RokqjYAMrjGUZahXwP_wHM2CeVQ |
| CitedBy_id | crossref_primary_10_1016_j_msea_2025_149101 crossref_primary_10_3390_machines13040280 crossref_primary_10_1016_j_eswa_2025_128810 crossref_primary_10_1016_j_eswa_2025_129536 crossref_primary_10_1016_j_swevo_2025_101932 crossref_primary_10_1080_17480272_2025_2505133 crossref_primary_10_1016_j_eswa_2025_129012 crossref_primary_10_3390_coatings15090997 |
| Cites_doi | 10.1016/j.jer.2023.100072 10.1016/j.rcim.2019.04.006 10.1016/j.cor.2023.106360 10.1109/4235.797969 10.1109/JAS.2019.1911540 10.1109/TII.2021.3056425 10.1109/TII.2020.3043734 10.1016/j.jclepro.2017.10.342 10.1007/s10462-020-09941-3 10.1016/j.asoc.2024.111254 10.1109/TSUSC.2021.3124893 10.1162/106365600568202 10.1080/17480272.2022.2049867 10.1016/j.jmsy.2023.03.002 10.1016/j.eswa.2023.120837 10.1016/j.apenergy.2022.118671 10.1016/j.asoc.2014.07.005 10.1016/j.ejor.2015.08.064 10.1080/19397030802257236 10.1109/TII.2022.3189725 10.1016/j.jclepro.2018.05.203 10.1198/004017002320256440 10.3389/fphys.2023.1303577 10.1109/TEVC.2003.810758 10.1080/00207543.2023.2266765 10.1109/JIOT.2021.3050441 10.1080/00207540701450013 10.1109/TCYB.2020.3025662 10.1016/j.jclepro.2020.121957 10.1080/00207543.2018.1501166 10.1109/TEVC.2008.925798 10.1016/j.jclepro.2018.11.021 10.1109/TEVC.2022.3175832 10.1016/j.engappai.2023.105977 10.1016/j.jmrt.2020.12.114 10.1016/j.eswa.2010.08.145 10.1016/j.cor.2007.01.001 10.1016/j.jmsy.2023.01.005 10.1016/j.cie.2021.107677 10.1080/17480272.2023.2261405 10.1080/0951192X.2023.2204475 10.15376/biores.19.2.3191-3207 10.1016/j.asoc.2023.110884 10.1016/j.rcim.2013.04.001 10.1007/s10479-019-03340-w 10.3390/machines10020104 10.1016/j.enbuild.2020.109966 10.1039/D4RA00357H 10.3390/ma13020479 10.1007/s11356-022-23532-5 10.1016/j.swevo.2020.100660 10.1016/j.cie.2022.108146 10.1016/j.asoc.2014.02.005 10.1162/evco_a_00269 10.1016/j.cie.2019.106072 10.3390/app13063563 10.1016/j.jmapro.2024.01.016 10.3390/polym13183167 10.1007/s00170-015-7987-0 10.1007/s00170-021-07358-y 10.1016/j.jclepro.2016.07.086 |
| ContentType | Journal Article |
| Copyright | 2025 Elsevier Ltd |
| Copyright_xml | – notice: 2025 Elsevier Ltd |
| DBID | AAYXX CITATION |
| DOI | 10.1016/j.eswa.2025.126830 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Computer Science |
| ExternalDocumentID | 10_1016_j_eswa_2025_126830 S095741742500452X |
| GroupedDBID | --K --M .DC .~1 0R~ 13V 1B1 1RT 1~. 1~5 4.4 457 4G. 5GY 5VS 7-5 71M 8P~ 9JN 9JO AAAKF AABNK AACTN AAEDT AAEDW AAIKJ AAKOC AALRI AAOAW AAQFI AARIN AATTM AAXKI AAXUO AAYFN ABBOA ABFNM ABJNI ABMAC ABMVD ABUCO ACDAQ ACGFS ACHRH ACNTT ACRLP ACZNC ADBBV ADEZE ADTZH AEBSH AECPX AEIPS AEKER AENEX AFJKZ AFTJW AFXIZ AGCQF AGHFR AGUBO AGUMN AGYEJ AHHHB AHJVU AHZHX AIALX AIEXJ AIKHN AITUG AKRWK ALEQD ALMA_UNASSIGNED_HOLDINGS AMRAJ ANKPU AOUOD APLSM APXCP AXJTR BJAXD BKOJK BLXMC BNPGV BNSAS CS3 DU5 EBS EFJIC EO8 EO9 EP2 EP3 F5P FDB FIRID FNPLU FYGXN G-Q GBLVA GBOLZ HAMUX IHE J1W JJJVA KOM LG9 LY1 LY7 M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. PQQKQ Q38 ROL RPZ SDF SDG SDP SDS SES SEW SPC SPCBC SSB SSD SSH SSL SST SSV SSZ T5K TN5 ~G- 29G 9DU AAAKG AAQXK AAYWO AAYXX ABKBG ABUFD ABWVN ABXDB ACLOT ACNNM ACRPL ACVFH ADCNI ADJOM ADMUD ADNMO AEUPX AFPUW AGQPQ AIGII AIIUN AKBMS AKYEP ASPBG AVWKF AZFZN CITATION EFKBS EFLBG EJD FEDTE FGOYB G-2 HLZ HVGLF HZ~ R2- SBC SET WUQ XPP ZMT ~HD |
| ID | FETCH-LOGICAL-c258t-c9fe974b522ee810f409084c542f5f9612f02c35812f6a09015e9a71ff5472023 |
| ISICitedReferencesCount | 9 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001437894200001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0957-4174 |
| IngestDate | Tue Nov 18 21:07:07 EST 2025 Sat Nov 29 06:54:55 EST 2025 Sat May 03 15:57:28 EDT 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Multi-objective optimization Hybrid flow shop scheduling problem Variable neighborhood search Customized panel furniture Non-dominated solution genetic algorithm Energy-efficient scheduling |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c258t-c9fe974b522ee810f409084c542f5f9612f02c35812f6a09015e9a71ff5472023 |
| ORCID | 0000-0002-1877-2805 0000-0002-7069-7523 |
| ParticipantIDs | crossref_citationtrail_10_1016_j_eswa_2025_126830 crossref_primary_10_1016_j_eswa_2025_126830 elsevier_sciencedirect_doi_10_1016_j_eswa_2025_126830 |
| PublicationCentury | 2000 |
| PublicationDate | 2025-05-15 |
| PublicationDateYYYYMMDD | 2025-05-15 |
| PublicationDate_xml | – month: 05 year: 2025 text: 2025-05-15 day: 15 |
| PublicationDecade | 2020 |
| PublicationTitle | Expert systems with applications |
| PublicationYear | 2025 |
| Publisher | Elsevier Ltd |
| Publisher_xml | – name: Elsevier Ltd |
| References | Li, He, Xu, Wang (b0145) 2023; 18 Meng, Zhang, Shao, Ren, Ren (b0195) 2019; 57 Zhu, Buck, Guo, Xiong, Xu, Cao (b0360) 2022; 10 Mouzon, Yildirim, Twomey (b0200) 2007; 45 Wang, Tang, Lei (b0260) 2024; 153 Gao, Cao, Zhang, Chen, Han, Pan (b0075) 2019; 6 Fang, Lu, Zeng, Chen, Tang (b0055) 2020; 13 Wang, Liang, Li, Cai (b0275) 2018; 195 Dai, Tang, Giret, Salido (b0030) 2019; 59 Wu, Sun (b0285) 2018; 172 Xiong, Yue, Zhang, Wang (b0310) 2024 Lu, Gao, Yi, Li (b0165) 2020; 17 Xiong, Yue, Dong, Xu (b0315) 2022; 29 Bi, Yuan, Zhang, Zhou (b0010) 2021; 7 Israr, Buhl, Bambach (b0095) 2021; 117 Lee, Yamakawa, Lee (b0115) 1998; 2 Song, Chen, Li, Cao (b0235) 2022; 19 Wang, Wang, Tian, Gong, Pedrycz (b0280) 2023; 121 Duan, Wang (b0050) 2021; 161 Füchtenhans, Glock (b0070) 2024; 62 Salido, Escamilla, Giret, Barber (b0220) 2016; 85 Yue, Xiong, Xu, Zhang (b0330) 2024 Li, Yao (b0150) 2020; 28 Mawson, Hughes (b0185) 2020; 217 Li, Xue, Zhang, Chen, Zhou (b0140) 2023; 159 Meng, Zhang, Shao, Ren (b0190) 2019; 210 He, Chiong, Li, Dhakal, Cao, Zhang (b0090) 2021; 18 Xiao, Yang, Zhang, Zheng (b0295) 2023; 67 Deb, K., Agrawal, S., Pratap, A., Meyarivan, T. (2000). A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. In Parallel Problem Solving from Nature PPSN VI: 6th International Conference Paris, France, September 18–20 (b0040) 2000 Lv, Shen (b0170) 2023; 68 Li, Chen, Tang, Li (b0120) 2017; 140 Feng, Kong (b0065) 2023; 13 Sivanandam, Deepa, Sivanandam, Deepa (b0230) 2008 Mansouri, Aktas, Besikci (b0180) 2016; 248 Dai, Tang, Giret, Salido, Li (b0035) 2013; 29 Geng, Wu, Liu (b0085) 2022; 43 Mouzon, Yildirim (b0205) 2008; 1 Zhao, He, Wang (b0345) 2020; 51 Yan, Tao, Qian (b0320) 2021; 13 Yu, Wu (b0325) 2024; 19 Teoh, Gill, Parlikad (b0245) 2021; 10 Zitzler, Thiele, Laumanns, Fonseca, Da Fonseca (b0380) 2003; 7 Liu, Cheng, Cheng, Chu, Liu, Zhang (b0160) 2024 Li, Zhang (b0155) 2008; 13 Xiong, Ma, Wu, Zhang (b0300) 2020; 267 Zhou, Xu, Huang, Kaner (b0350) 2024; 14 Zitzler, Thiele (b0375) 1999; 3 Chen, Wang, Xu (b0020) 2019; 137 Gao, Sun, Gen (b0080) 2008; 35 Wang, Yang, Wu, Guo, Cao, Chao (b0270) 2022 Pena, Nápoles, Salgueiro (b0215) 2021; 54 Zitzler, Deb, Thiele (b0365) 2000; 8 Li, Gong, Lu, Wang (b0135) 2022; 27 Zitzler, Laumanns, Thiele (b0370) 2001; 103 Wu, Zong, Zhang, Wang, Zhu, Guo, Cao (b0290) 2023; 11 Soni, Kumar (b0240) 2014; 5 Zhang, Gao, Shi (b0335) 2011; 38 Öztop, Tasgetiren, Kandiller, Eliiyi, Gao (b0210) 2020; 54 Jia, Yan, Wang (b0100) 2023; 232 Lamba, Kumar, Mishra, Rajput (b0110) 2020; 290 Chinnathai, Alkan (b0025) 2023; 419 Boufellouh, Belkaid (b0015) 2023; 148 Zhang, Xiong, Yue, Xu (b0340) 2024; 19 Zhou, Xu, Ling, Zhang (b0355) 2024; 37 Wang, Wu, Yang, Hu, Song, Zhu, Cao (b0265) 2024; 112 Van Nostrand, R. C. (2002). Design of experiments using the taguchi approach: 16 steps to product and process improvement, 289-289. Li, Pan, Wang (b0125) 2014; 24 Favi, Marconi, Mandolini, Germani (b0060) 2022; 312 Bai, Wang, Chen, Wu (b0005) 2024; 14 Marichelvam, Prabaharan, Yang (b0175) 2014; 19 Kumar, Singh, Bilga, Singh, Singh, Scutaru, Pruncu (b0105) 2021; 10 Dong, Ye (b0045) 2022; 169 Bai (10.1016/j.eswa.2025.126830_b0005) 2024; 14 Xiong (10.1016/j.eswa.2025.126830_b0315) 2022; 29 Gao (10.1016/j.eswa.2025.126830_b0075) 2019; 6 Fang (10.1016/j.eswa.2025.126830_b0055) 2020; 13 Lv (10.1016/j.eswa.2025.126830_b0170) 2023; 68 Meng (10.1016/j.eswa.2025.126830_b0190) 2019; 210 Zhang (10.1016/j.eswa.2025.126830_b0340) 2024; 19 Boufellouh (10.1016/j.eswa.2025.126830_b0015) 2023; 148 10.1016/j.eswa.2025.126830_b0250 Xiong (10.1016/j.eswa.2025.126830_b0300) 2020; 267 Teoh (10.1016/j.eswa.2025.126830_b0245) 2021; 10 Chen (10.1016/j.eswa.2025.126830_b0020) 2019; 137 Meng (10.1016/j.eswa.2025.126830_b0195) 2019; 57 Zhu (10.1016/j.eswa.2025.126830_b0360) 2022; 10 Gao (10.1016/j.eswa.2025.126830_b0080) 2008; 35 Wang (10.1016/j.eswa.2025.126830_b0265) 2024; 112 Geng (10.1016/j.eswa.2025.126830_b0085) 2022; 43 Wang (10.1016/j.eswa.2025.126830_b0270) 2022 Wu (10.1016/j.eswa.2025.126830_b0290) 2023; 11 Yan (10.1016/j.eswa.2025.126830_b0320) 2021; 13 Mouzon (10.1016/j.eswa.2025.126830_b0200) 2007; 45 Bi (10.1016/j.eswa.2025.126830_b0010) 2021; 7 Dong (10.1016/j.eswa.2025.126830_b0045) 2022; 169 Füchtenhans (10.1016/j.eswa.2025.126830_b0070) 2024; 62 Soni (10.1016/j.eswa.2025.126830_b0240) 2014; 5 He (10.1016/j.eswa.2025.126830_b0090) 2021; 18 Lee (10.1016/j.eswa.2025.126830_b0115) 1998; 2 Wang (10.1016/j.eswa.2025.126830_b0280) 2023; 121 Feng (10.1016/j.eswa.2025.126830_b0065) 2023; 13 Zhang (10.1016/j.eswa.2025.126830_b0335) 2011; 38 Liu (10.1016/j.eswa.2025.126830_b0160) 2024 Wu (10.1016/j.eswa.2025.126830_b0285) 2018; 172 Xiong (10.1016/j.eswa.2025.126830_b0310) 2024 Favi (10.1016/j.eswa.2025.126830_b0060) 2022; 312 Kumar (10.1016/j.eswa.2025.126830_b0105) 2021; 10 Mouzon (10.1016/j.eswa.2025.126830_b0205) 2008; 1 Chinnathai (10.1016/j.eswa.2025.126830_b0025) 2023; 419 Pena (10.1016/j.eswa.2025.126830_b0215) 2021; 54 Li (10.1016/j.eswa.2025.126830_b0145) 2023; 18 Li (10.1016/j.eswa.2025.126830_b0135) 2022; 27 Israr (10.1016/j.eswa.2025.126830_b0095) 2021; 117 Zitzler (10.1016/j.eswa.2025.126830_b0370) 2001; 103 Duan (10.1016/j.eswa.2025.126830_b0050) 2021; 161 Salido (10.1016/j.eswa.2025.126830_b0220) 2016; 85 Lu (10.1016/j.eswa.2025.126830_b0165) 2020; 17 Li (10.1016/j.eswa.2025.126830_b0120) 2017; 140 Zitzler (10.1016/j.eswa.2025.126830_b0375) 1999; 3 Öztop (10.1016/j.eswa.2025.126830_b0210) 2020; 54 Yue (10.1016/j.eswa.2025.126830_b0330) 2024 Deb, K., Agrawal, S., Pratap, A., Meyarivan, T. (2000). A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. In Parallel Problem Solving from Nature PPSN VI: 6th International Conference Paris, France, September 18–20 (10.1016/j.eswa.2025.126830_b0040) 2000 Xiao (10.1016/j.eswa.2025.126830_b0295) 2023; 67 Zitzler (10.1016/j.eswa.2025.126830_b0380) 2003; 7 Mawson (10.1016/j.eswa.2025.126830_b0185) 2020; 217 Zhao (10.1016/j.eswa.2025.126830_b0345) 2020; 51 Li (10.1016/j.eswa.2025.126830_b0140) 2023; 159 Yu (10.1016/j.eswa.2025.126830_b0325) 2024; 19 Dai (10.1016/j.eswa.2025.126830_b0030) 2019; 59 Dai (10.1016/j.eswa.2025.126830_b0035) 2013; 29 Mansouri (10.1016/j.eswa.2025.126830_b0180) 2016; 248 Sivanandam (10.1016/j.eswa.2025.126830_b0230) 2008 Li (10.1016/j.eswa.2025.126830_b0155) 2008; 13 Jia (10.1016/j.eswa.2025.126830_b0100) 2023; 232 Wang (10.1016/j.eswa.2025.126830_b0275) 2018; 195 Li (10.1016/j.eswa.2025.126830_b0150) 2020; 28 Song (10.1016/j.eswa.2025.126830_b0235) 2022; 19 Li (10.1016/j.eswa.2025.126830_b0125) 2014; 24 Zhou (10.1016/j.eswa.2025.126830_b0350) 2024; 14 Lamba (10.1016/j.eswa.2025.126830_b0110) 2020; 290 Wang (10.1016/j.eswa.2025.126830_b0260) 2024; 153 Zhou (10.1016/j.eswa.2025.126830_b0355) 2024; 37 Zitzler (10.1016/j.eswa.2025.126830_b0365) 2000; 8 Marichelvam (10.1016/j.eswa.2025.126830_b0175) 2014; 19 |
| References_xml | – volume: 7 start-page: 619 year: 2021 end-page: 630 ident: b0010 article-title: Green energy forecast-based bi-objective scheduling of tasks across distributed clouds – volume: 148 year: 2023 ident: b0015 article-title: Multi-objective optimization for energy-efficient flow shop scheduling problem with blocking and collision-free transportation constraints – volume: 103 year: 2001 ident: b0370 article-title: SPEA2: Improving the strength Pareto evolutionary algorithm publication-title: TIK report – reference: Van Nostrand, R. C. (2002). Design of experiments using the taguchi approach: 16 steps to product and process improvement, 289-289. – volume: 19 start-page: 93 year: 2014 end-page: 101 ident: b0175 article-title: Improved cuckoo search algorithm for hybrid flow shop scheduling problems to minimize makespan – volume: 3 start-page: 257 year: 1999 end-page: 271 ident: b0375 article-title: Multiobjective evolutionary algorithms: A comparative case study and the strength Pareto approach – volume: 419 year: 2023 ident: b0025 article-title: A digital life-cycle management framework for sustainable smart manufacturing in energy intensive industries – volume: 62 start-page: 4546 year: 2024 end-page: 4564 ident: b0070 article-title: The impact of incentive-based programmes on job-shop scheduling with variable machine speeds – volume: 137 year: 2019 ident: b0020 article-title: An energy-efficient single machine scheduling problem with machine reliability constraints – volume: 5 start-page: 4519 year: 2014 end-page: 4521 ident: b0240 article-title: Study of various mutation operators in genetic algorithms – volume: 37 start-page: 87 year: 2024 end-page: 107 ident: b0355 article-title: Digital-twin-based job shop multi-objective scheduling model and strategy publication-title: International Journal of Computer Integrated Manufacturing – volume: 51 start-page: 5291 year: 2020 end-page: 5303 ident: b0345 article-title: A two-stage cooperative evolutionary algorithm with problem-specific knowledge for energy-efficient scheduling of no-wait flow-shop problem – volume: 59 start-page: 143 year: 2019 end-page: 157 ident: b0030 article-title: Multi-objective optimization for energy-efficient flexible job shop scheduling problem with transportation constraints – volume: 290 start-page: 5 year: 2020 end-page: 26 ident: b0110 article-title: Sustainable dynamic cellular facility layout: A solution approach using simulated annealing-based meta-heuristic – volume: 117 start-page: 2133 year: 2021 end-page: 2147 ident: b0095 article-title: A study on power-controlled wire-arc additive manufacturing using a data-driven surrogate model – volume: 18 start-page: 464 year: 2023 end-page: 471 ident: b0145 article-title: Modeling and optimizing the specific cutting energy of medium density fiberboard during the helical up-milling process publication-title: Wood Material Science & Engineering – volume: 19 start-page: 1600 year: 2022 end-page: 1610 ident: b0235 article-title: Flexible job-shop scheduling via graph neural network and deep reinforcement learning – volume: 13 start-page: 3563 year: 2023 ident: b0065 article-title: Multi-objective hybrid flow-shop scheduling in parallel sequential mode while considering handling time and setup time – volume: 10 start-page: 104 year: 2022 ident: b0360 article-title: Energy efficiency optimization for machining of wood plastic composite – volume: 10 start-page: 2087 year: 2021 end-page: 2094 ident: b0245 article-title: IoT and fog-computing-based predictive maintenance model for effective asset management in Industry 4.0 using machine learning – start-page: 1 year: 2024 end-page: 20 ident: b0160 article-title: Enhancing energy efficiency in distributed hybrid forging flow-shops: A novel scheduling approach to capitalise on residual forging heat – volume: 14 year: 2024 ident: b0350 article-title: Effect of different postures and loads on joint motion and muscle activity in older adults during overhead retrieval publication-title: Frontiers in Physiology – volume: 27 start-page: 610 year: 2022 end-page: 620 ident: b0135 article-title: A learning-based memetic algorithm for energy-efficient flexible job-shop scheduling with type-2 fuzzy processing time – volume: 45 start-page: 4247 year: 2007 end-page: 4271 ident: b0200 article-title: Operational methods for minimization of energy consumption of manufacturing equipment – volume: 232 year: 2023 ident: b0100 article-title: Q-learning driven multi-population memetic algorithm for distributed three-stage assembly hybrid flow shop scheduling with flexible preventive maintenance – volume: 248 start-page: 772 year: 2016 end-page: 788 ident: b0180 article-title: Green scheduling of a two-machine flowshop: Trade-off between makespan and energy consumption – volume: 10 start-page: 1471 year: 2021 end-page: 1492 ident: b0105 article-title: Revealing the benefits of entropy weights method for multi-objective optimization in machining operations: A critical review – volume: 19 start-page: 3191 year: 2024 ident: b0325 article-title: Research on the influence mechanism of short video communication effect of furniture brand: Based on ELM model and regression analysis – volume: 312 year: 2022 ident: b0060 article-title: Sustainable life cycle and energy management of discrete manufacturing plants in the industry 4.0 framework – volume: 6 start-page: 904 year: 2019 end-page: 916 ident: b0075 article-title: A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems – volume: 153 year: 2024 ident: b0260 article-title: A feedback-based artificial bee colony algorithm for energy-efficient flexible flow shop scheduling problem with batch processing machines publication-title: Applied Soft Computing – volume: 18 start-page: 600 year: 2021 end-page: 610 ident: b0090 article-title: Multiobjective optimization of energy-efficient job-shop scheduling with dynamic reference point-based fuzzy relative entropy – volume: 7 start-page: 117 year: 2003 end-page: 132 ident: b0380 article-title: Performance assessment of multiobjective optimizers: An analysis and review – start-page: 1 year: 2024 end-page: 17 ident: b0330 article-title: Big data for furniture intelligent manufacturing: Conceptual framework, technologies, applications, and challenges – volume: 210 start-page: 710 year: 2019 end-page: 723 ident: b0190 article-title: MILP models for energy-aware flexible job shop scheduling problem publication-title: Journal of cleaner production – start-page: 1 year: 2024 end-page: 15 ident: b0310 article-title: Intelligent Manufacturing Enabling Technologies System Construction for High-Quality Development of Furniture – volume: 54 start-page: 3817 year: 2021 end-page: 3847 ident: b0215 article-title: Implicit and hybrid methods for attribute weighting in multi-attribute decision-making: A review study – start-page: 849 year: 2000 end-page: 858 ident: b0040 – volume: 19 start-page: 485 year: 2024 end-page: 498 ident: b0340 article-title: Status of China’s wooden-door industry and challenges lying ahead – volume: 161 year: 2021 ident: b0050 article-title: Energy-efficient scheduling for a flexible job shop with machine breakdowns considering machine idle time arrangement and machine speed level selection – volume: 13 start-page: 284 year: 2008 end-page: 302 ident: b0155 article-title: Multiobjective optimization problems with complicated Pareto sets, MOEA/D and NSGA-II – volume: 24 start-page: 63 year: 2014 end-page: 77 ident: b0125 article-title: A hybrid variable neighborhood search for solving the hybrid flow shop scheduling problem – volume: 85 start-page: 1303 year: 2016 end-page: 1314 ident: b0220 article-title: A genetic algorithm for energy-efficiency in job-shop scheduling – volume: 195 start-page: 507 year: 2018 end-page: 520 ident: b0275 article-title: Big Data enabled Intelligent Immune System for energy efficient manufacturing management – volume: 17 start-page: 6687 year: 2020 end-page: 6696 ident: b0165 article-title: Energy-efficient scheduling of distributed flow shop with heterogeneous factories: A real-world case from automobile industry in China – volume: 121 year: 2023 ident: b0280 article-title: Solving energy-efficient fuzzy hybrid flow-shop scheduling problem at a variable machine speed using an extended NSGA-II – volume: 140 start-page: 1805 year: 2017 end-page: 1818 ident: b0120 article-title: Selection of optimum parameters in multi-pass face milling for maximum energy efficiency and minimum production cost – volume: 1 start-page: 105 year: 2008 end-page: 116 ident: b0205 article-title: A framework to minimise total energy consumption and total tardiness on a single machine – start-page: 514 year: 2022 end-page: 525 ident: b0270 article-title: Panel Furniture Production Scheduling with Limited Storage Spaces – volume: 169 year: 2022 ident: b0045 article-title: Green scheduling of distributed two-stage reentrant hybrid flow shop considering distributed energy resources and energy storage system – volume: 35 start-page: 2892 year: 2008 end-page: 2907 ident: b0080 article-title: A hybrid genetic and variable neighborhood descent algorithm for flexible job shop scheduling problems – volume: 67 start-page: 80 year: 2023 end-page: 96 ident: b0295 article-title: Adaptive optimal process control with actor-critic design for energy-efficient batch machining subject to time-varying tool wear – volume: 217 year: 2020 ident: b0185 article-title: Deep learning techniques for energy forecasting and condition monitoring in the manufacturing sector – volume: 112 start-page: 214 year: 2024 end-page: 224 ident: b0265 article-title: Investigation on distributed rescheduling with cutting tool maintenance based on NSGA-III in large-scale panel furniture intelligent manufacturing publication-title: Journal of Manufacturing Processes – volume: 29 start-page: 418 year: 2013 end-page: 429 ident: b0035 article-title: Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm – volume: 43 start-page: 7877 year: 2022 end-page: 7890 ident: b0085 article-title: Multi-objective re-entrant hybrid flow shop scheduling problem considering fuzzy processing time and delivery time – volume: 28 start-page: 227 year: 2020 end-page: 253 ident: b0150 article-title: What weights work for you? Adapting weights for any Pareto front shape in decomposition-based evolutionary multiobjective optimisation – volume: 68 start-page: 99 year: 2023 end-page: 116 ident: b0170 article-title: An improved NSGA-II with local search for multi-objective integrated production and inventory scheduling problem – volume: 11 start-page: 164 year: 2023 end-page: 175 ident: b0290 article-title: Investigation of the customized furniture industry’s production management systems – volume: 13 start-page: 479 year: 2020 ident: b0055 article-title: Investigation of the flame-retardant and mechanical properties of bamboo fiber-reinforced polypropylene composites with melamine pyrophosphate and aluminum hypophosphite addition – start-page: 15 year: 2008 end-page: 37 ident: b0230 – volume: 29 start-page: 82729 year: 2022 end-page: 82739 ident: b0315 article-title: Current status and system construction of used-furniture recycling in China – volume: 54 year: 2020 ident: b0210 article-title: Ensemble of metaheuristics for energy-efficient hybrid flowshops: Makespan versus total energy consumption – volume: 2 start-page: 60 year: 1998 end-page: 66 ident: b0115 article-title: A genetic algorithm for general machine scheduling problems – volume: 159 year: 2023 ident: b0140 article-title: Multi-objective energy-efficient hybrid flow shop scheduling using Q-learning and GVNS driven NSGA-II publication-title: Computers & Operations Research – volume: 57 start-page: 1119 year: 2019 end-page: 1145 ident: b0195 article-title: Mathematical modelling and optimisation of energy-conscious hybrid flow shop scheduling problem with unrelated parallel machines publication-title: International Journal of Production Research – volume: 172 start-page: 3249 year: 2018 end-page: 3264 ident: b0285 article-title: A green scheduling algorithm for flexible job shop with energy-saving measures – volume: 38 start-page: 3563 year: 2011 end-page: 3573 ident: b0335 article-title: An effective genetic algorithm for the flexible job-shop scheduling problem – volume: 14 start-page: 8090 year: 2024 end-page: 8099 ident: b0005 article-title: Study of ternary deep eutectic solvents to enhance the bending properties of ash wood – volume: 8 start-page: 173 year: 2000 end-page: 195 ident: b0365 article-title: Comparison of multiobjective evolutionary algorithms: Empirical results – volume: 267 year: 2020 ident: b0300 article-title: Current situation and key manufacturing considerations of green furniture in China: A review – volume: 13 start-page: 3167 year: 2021 ident: b0320 article-title: Effect of microcapsules with waterborne coating as core material on properties of coating for Tilia europaea and comparison with other microcapsules – start-page: 1 year: 2024 ident: 10.1016/j.eswa.2025.126830_b0330 article-title: Big data for furniture intelligent manufacturing: Conceptual framework, technologies, applications, and challenges publication-title: The International Journal of Advanced Manufacturing Technology – volume: 43 start-page: 7877 issue: 6 year: 2022 ident: 10.1016/j.eswa.2025.126830_b0085 article-title: Multi-objective re-entrant hybrid flow shop scheduling problem considering fuzzy processing time and delivery time publication-title: Journal of Intelligent & Fuzzy Systems – volume: 11 start-page: 164 issue: 3 year: 2023 ident: 10.1016/j.eswa.2025.126830_b0290 article-title: Investigation of the customized furniture industry’s production management systems publication-title: Journal of Engineering Research doi: 10.1016/j.jer.2023.100072 – volume: 59 start-page: 143 year: 2019 ident: 10.1016/j.eswa.2025.126830_b0030 article-title: Multi-objective optimization for energy-efficient flexible job shop scheduling problem with transportation constraints publication-title: Robotics and Computer-Integrated Manufacturing doi: 10.1016/j.rcim.2019.04.006 – volume: 159 year: 2023 ident: 10.1016/j.eswa.2025.126830_b0140 article-title: Multi-objective energy-efficient hybrid flow shop scheduling using Q-learning and GVNS driven NSGA-II publication-title: Computers & Operations Research doi: 10.1016/j.cor.2023.106360 – volume: 3 start-page: 257 issue: 4 year: 1999 ident: 10.1016/j.eswa.2025.126830_b0375 article-title: Multiobjective evolutionary algorithms: A comparative case study and the strength Pareto approach publication-title: IEEE transactions on Evolutionary Computation doi: 10.1109/4235.797969 – volume: 6 start-page: 904 issue: 4 year: 2019 ident: 10.1016/j.eswa.2025.126830_b0075 article-title: A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems publication-title: IEEE/CAA Journal of Automatica Sinica doi: 10.1109/JAS.2019.1911540 – start-page: 15 year: 2008 ident: 10.1016/j.eswa.2025.126830_b0230 – volume: 18 start-page: 600 issue: 1 year: 2021 ident: 10.1016/j.eswa.2025.126830_b0090 article-title: Multiobjective optimization of energy-efficient job-shop scheduling with dynamic reference point-based fuzzy relative entropy publication-title: IEEE Transactions on Industrial Informatics doi: 10.1109/TII.2021.3056425 – volume: 17 start-page: 6687 issue: 10 year: 2020 ident: 10.1016/j.eswa.2025.126830_b0165 article-title: Energy-efficient scheduling of distributed flow shop with heterogeneous factories: A real-world case from automobile industry in China publication-title: IEEE Transactions on Industrial Informatics doi: 10.1109/TII.2020.3043734 – volume: 172 start-page: 3249 year: 2018 ident: 10.1016/j.eswa.2025.126830_b0285 article-title: A green scheduling algorithm for flexible job shop with energy-saving measures publication-title: Journal of cleaner production doi: 10.1016/j.jclepro.2017.10.342 – volume: 54 start-page: 3817 year: 2021 ident: 10.1016/j.eswa.2025.126830_b0215 article-title: Implicit and hybrid methods for attribute weighting in multi-attribute decision-making: A review study publication-title: Artificial Intelligence Review doi: 10.1007/s10462-020-09941-3 – volume: 153 year: 2024 ident: 10.1016/j.eswa.2025.126830_b0260 article-title: A feedback-based artificial bee colony algorithm for energy-efficient flexible flow shop scheduling problem with batch processing machines publication-title: Applied Soft Computing doi: 10.1016/j.asoc.2024.111254 – volume: 7 start-page: 619 issue: 3 year: 2021 ident: 10.1016/j.eswa.2025.126830_b0010 article-title: Green energy forecast-based bi-objective scheduling of tasks across distributed clouds publication-title: IEEE Transactions on Sustainable Computing doi: 10.1109/TSUSC.2021.3124893 – volume: 8 start-page: 173 issue: 2 year: 2000 ident: 10.1016/j.eswa.2025.126830_b0365 article-title: Comparison of multiobjective evolutionary algorithms: Empirical results publication-title: Evolutionary computation doi: 10.1162/106365600568202 – volume: 18 start-page: 464 issue: 2 year: 2023 ident: 10.1016/j.eswa.2025.126830_b0145 article-title: Modeling and optimizing the specific cutting energy of medium density fiberboard during the helical up-milling process publication-title: Wood Material Science & Engineering doi: 10.1080/17480272.2022.2049867 – volume: 68 start-page: 99 year: 2023 ident: 10.1016/j.eswa.2025.126830_b0170 article-title: An improved NSGA-II with local search for multi-objective integrated production and inventory scheduling problem publication-title: Journal of Manufacturing Systems doi: 10.1016/j.jmsy.2023.03.002 – volume: 232 year: 2023 ident: 10.1016/j.eswa.2025.126830_b0100 article-title: Q-learning driven multi-population memetic algorithm for distributed three-stage assembly hybrid flow shop scheduling with flexible preventive maintenance publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2023.120837 – volume: 312 year: 2022 ident: 10.1016/j.eswa.2025.126830_b0060 article-title: Sustainable life cycle and energy management of discrete manufacturing plants in the industry 4.0 framework publication-title: Applied Energy doi: 10.1016/j.apenergy.2022.118671 – volume: 24 start-page: 63 year: 2014 ident: 10.1016/j.eswa.2025.126830_b0125 article-title: A hybrid variable neighborhood search for solving the hybrid flow shop scheduling problem publication-title: Applied Soft Computing doi: 10.1016/j.asoc.2014.07.005 – volume: 5 start-page: 4519 issue: 3 year: 2014 ident: 10.1016/j.eswa.2025.126830_b0240 article-title: Study of various mutation operators in genetic algorithms publication-title: International Journal of Computer Science and Information Technologies – volume: 248 start-page: 772 issue: 3 year: 2016 ident: 10.1016/j.eswa.2025.126830_b0180 article-title: Green scheduling of a two-machine flowshop: Trade-off between makespan and energy consumption publication-title: European Journal of Operational Research doi: 10.1016/j.ejor.2015.08.064 – volume: 1 start-page: 105 issue: 2 year: 2008 ident: 10.1016/j.eswa.2025.126830_b0205 article-title: A framework to minimise total energy consumption and total tardiness on a single machine publication-title: International Journal of Sustainable Engineering doi: 10.1080/19397030802257236 – volume: 19 start-page: 1600 issue: 2 year: 2022 ident: 10.1016/j.eswa.2025.126830_b0235 article-title: Flexible job-shop scheduling via graph neural network and deep reinforcement learning publication-title: IEEE Transactions on Industrial Informatics doi: 10.1109/TII.2022.3189725 – start-page: 1 year: 2024 ident: 10.1016/j.eswa.2025.126830_b0310 article-title: Intelligent Manufacturing Enabling Technologies System Construction for High-Quality Development of Furniture publication-title: Scientia Silvae Sinicae – volume: 195 start-page: 507 year: 2018 ident: 10.1016/j.eswa.2025.126830_b0275 article-title: Big Data enabled Intelligent Immune System for energy efficient manufacturing management publication-title: Journal of cleaner production doi: 10.1016/j.jclepro.2018.05.203 – ident: 10.1016/j.eswa.2025.126830_b0250 doi: 10.1198/004017002320256440 – volume: 14 year: 2024 ident: 10.1016/j.eswa.2025.126830_b0350 article-title: Effect of different postures and loads on joint motion and muscle activity in older adults during overhead retrieval publication-title: Frontiers in Physiology doi: 10.3389/fphys.2023.1303577 – volume: 7 start-page: 117 issue: 2 year: 2003 ident: 10.1016/j.eswa.2025.126830_b0380 article-title: Performance assessment of multiobjective optimizers: An analysis and review publication-title: IEEE Transactions on evolutionary computation doi: 10.1109/TEVC.2003.810758 – volume: 62 start-page: 4546 issue: 12 year: 2024 ident: 10.1016/j.eswa.2025.126830_b0070 article-title: The impact of incentive-based programmes on job-shop scheduling with variable machine speeds publication-title: International Journal of Production Research doi: 10.1080/00207543.2023.2266765 – volume: 10 start-page: 2087 issue: 3 year: 2021 ident: 10.1016/j.eswa.2025.126830_b0245 article-title: IoT and fog-computing-based predictive maintenance model for effective asset management in Industry 4.0 using machine learning publication-title: IEEE Internet of Things Journal doi: 10.1109/JIOT.2021.3050441 – volume: 45 start-page: 4247 issue: 18–19 year: 2007 ident: 10.1016/j.eswa.2025.126830_b0200 article-title: Operational methods for minimization of energy consumption of manufacturing equipment publication-title: International Journal of production research doi: 10.1080/00207540701450013 – volume: 51 start-page: 5291 issue: 11 year: 2020 ident: 10.1016/j.eswa.2025.126830_b0345 article-title: A two-stage cooperative evolutionary algorithm with problem-specific knowledge for energy-efficient scheduling of no-wait flow-shop problem publication-title: IEEE transactions on cybernetics doi: 10.1109/TCYB.2020.3025662 – volume: 267 year: 2020 ident: 10.1016/j.eswa.2025.126830_b0300 article-title: Current situation and key manufacturing considerations of green furniture in China: A review publication-title: Journal of Cleaner Production doi: 10.1016/j.jclepro.2020.121957 – volume: 57 start-page: 1119 issue: 4 year: 2019 ident: 10.1016/j.eswa.2025.126830_b0195 article-title: Mathematical modelling and optimisation of energy-conscious hybrid flow shop scheduling problem with unrelated parallel machines publication-title: International Journal of Production Research doi: 10.1080/00207543.2018.1501166 – volume: 13 start-page: 284 issue: 2 year: 2008 ident: 10.1016/j.eswa.2025.126830_b0155 article-title: Multiobjective optimization problems with complicated Pareto sets, MOEA/D and NSGA-II publication-title: IEEE transactions on evolutionary computation doi: 10.1109/TEVC.2008.925798 – start-page: 1 year: 2024 ident: 10.1016/j.eswa.2025.126830_b0160 article-title: Enhancing energy efficiency in distributed hybrid forging flow-shops: A novel scheduling approach to capitalise on residual forging heat publication-title: International Journal of Production Research – volume: 210 start-page: 710 year: 2019 ident: 10.1016/j.eswa.2025.126830_b0190 article-title: MILP models for energy-aware flexible job shop scheduling problem publication-title: Journal of cleaner production doi: 10.1016/j.jclepro.2018.11.021 – volume: 27 start-page: 610 issue: 3 year: 2022 ident: 10.1016/j.eswa.2025.126830_b0135 article-title: A learning-based memetic algorithm for energy-efficient flexible job-shop scheduling with type-2 fuzzy processing time publication-title: IEEE Transactions on Evolutionary Computation doi: 10.1109/TEVC.2022.3175832 – volume: 121 year: 2023 ident: 10.1016/j.eswa.2025.126830_b0280 article-title: Solving energy-efficient fuzzy hybrid flow-shop scheduling problem at a variable machine speed using an extended NSGA-II publication-title: Engineering Applications of Artificial Intelligence doi: 10.1016/j.engappai.2023.105977 – volume: 10 start-page: 1471 year: 2021 ident: 10.1016/j.eswa.2025.126830_b0105 article-title: Revealing the benefits of entropy weights method for multi-objective optimization in machining operations: A critical review publication-title: Journal of materials research and technology doi: 10.1016/j.jmrt.2020.12.114 – volume: 38 start-page: 3563 issue: 4 year: 2011 ident: 10.1016/j.eswa.2025.126830_b0335 article-title: An effective genetic algorithm for the flexible job-shop scheduling problem publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2010.08.145 – volume: 35 start-page: 2892 issue: 9 year: 2008 ident: 10.1016/j.eswa.2025.126830_b0080 article-title: A hybrid genetic and variable neighborhood descent algorithm for flexible job shop scheduling problems publication-title: Computer and Operations Research doi: 10.1016/j.cor.2007.01.001 – volume: 67 start-page: 80 year: 2023 ident: 10.1016/j.eswa.2025.126830_b0295 article-title: Adaptive optimal process control with actor-critic design for energy-efficient batch machining subject to time-varying tool wear publication-title: Journal of Manufacturing Systems doi: 10.1016/j.jmsy.2023.01.005 – volume: 2 start-page: 60 year: 1998 ident: 10.1016/j.eswa.2025.126830_b0115 article-title: A genetic algorithm for general machine scheduling problems publication-title: International Journal of Knowledge-Based Electronic – volume: 161 year: 2021 ident: 10.1016/j.eswa.2025.126830_b0050 article-title: Energy-efficient scheduling for a flexible job shop with machine breakdowns considering machine idle time arrangement and machine speed level selection publication-title: Computers & Industrial Engineering doi: 10.1016/j.cie.2021.107677 – volume: 19 start-page: 485 issue: 2 year: 2024 ident: 10.1016/j.eswa.2025.126830_b0340 article-title: Status of China’s wooden-door industry and challenges lying ahead publication-title: Wood Material Science & Engineering doi: 10.1080/17480272.2023.2261405 – volume: 37 start-page: 87 issue: 1–2 year: 2024 ident: 10.1016/j.eswa.2025.126830_b0355 article-title: Digital-twin-based job shop multi-objective scheduling model and strategy publication-title: International Journal of Computer Integrated Manufacturing doi: 10.1080/0951192X.2023.2204475 – volume: 19 start-page: 3191 issue: 2 year: 2024 ident: 10.1016/j.eswa.2025.126830_b0325 article-title: Research on the influence mechanism of short video communication effect of furniture brand: Based on ELM model and regression analysis publication-title: BioResources doi: 10.15376/biores.19.2.3191-3207 – volume: 103 year: 2001 ident: 10.1016/j.eswa.2025.126830_b0370 article-title: SPEA2: Improving the strength Pareto evolutionary algorithm publication-title: TIK report – volume: 148 year: 2023 ident: 10.1016/j.eswa.2025.126830_b0015 article-title: Multi-objective optimization for energy-efficient flow shop scheduling problem with blocking and collision-free transportation constraints publication-title: Applied Soft Computing doi: 10.1016/j.asoc.2023.110884 – volume: 29 start-page: 418 issue: 5 year: 2013 ident: 10.1016/j.eswa.2025.126830_b0035 article-title: Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm publication-title: Robotics and Computer-Integrated Manufacturing doi: 10.1016/j.rcim.2013.04.001 – volume: 290 start-page: 5 year: 2020 ident: 10.1016/j.eswa.2025.126830_b0110 article-title: Sustainable dynamic cellular facility layout: A solution approach using simulated annealing-based meta-heuristic publication-title: Annals of Operations Research doi: 10.1007/s10479-019-03340-w – volume: 10 start-page: 104 issue: 2 year: 2022 ident: 10.1016/j.eswa.2025.126830_b0360 article-title: Energy efficiency optimization for machining of wood plastic composite publication-title: Machines doi: 10.3390/machines10020104 – volume: 217 year: 2020 ident: 10.1016/j.eswa.2025.126830_b0185 article-title: Deep learning techniques for energy forecasting and condition monitoring in the manufacturing sector publication-title: Energy and Buildings doi: 10.1016/j.enbuild.2020.109966 – volume: 14 start-page: 8090 issue: 12 year: 2024 ident: 10.1016/j.eswa.2025.126830_b0005 article-title: Study of ternary deep eutectic solvents to enhance the bending properties of ash wood publication-title: RSC advances doi: 10.1039/D4RA00357H – volume: 13 start-page: 479 issue: 2 year: 2020 ident: 10.1016/j.eswa.2025.126830_b0055 article-title: Investigation of the flame-retardant and mechanical properties of bamboo fiber-reinforced polypropylene composites with melamine pyrophosphate and aluminum hypophosphite addition publication-title: Materials doi: 10.3390/ma13020479 – volume: 29 start-page: 82729 issue: 55 year: 2022 ident: 10.1016/j.eswa.2025.126830_b0315 article-title: Current status and system construction of used-furniture recycling in China publication-title: Environmental Science and Pollution Research doi: 10.1007/s11356-022-23532-5 – volume: 54 year: 2020 ident: 10.1016/j.eswa.2025.126830_b0210 article-title: Ensemble of metaheuristics for energy-efficient hybrid flowshops: Makespan versus total energy consumption publication-title: Swarm and Evolutionary Computation doi: 10.1016/j.swevo.2020.100660 – volume: 169 year: 2022 ident: 10.1016/j.eswa.2025.126830_b0045 article-title: Green scheduling of distributed two-stage reentrant hybrid flow shop considering distributed energy resources and energy storage system publication-title: Computers & Industrial Engineering doi: 10.1016/j.cie.2022.108146 – volume: 19 start-page: 93 year: 2014 ident: 10.1016/j.eswa.2025.126830_b0175 article-title: Improved cuckoo search algorithm for hybrid flow shop scheduling problems to minimize makespan publication-title: Applied Soft Computing doi: 10.1016/j.asoc.2014.02.005 – volume: 28 start-page: 227 issue: 2 year: 2020 ident: 10.1016/j.eswa.2025.126830_b0150 article-title: What weights work for you? Adapting weights for any Pareto front shape in decomposition-based evolutionary multiobjective optimisation publication-title: Evolutionary Computation doi: 10.1162/evco_a_00269 – volume: 137 year: 2019 ident: 10.1016/j.eswa.2025.126830_b0020 article-title: An energy-efficient single machine scheduling problem with machine reliability constraints publication-title: Computers & Industrial Engineering doi: 10.1016/j.cie.2019.106072 – volume: 13 start-page: 3563 issue: 6 year: 2023 ident: 10.1016/j.eswa.2025.126830_b0065 article-title: Multi-objective hybrid flow-shop scheduling in parallel sequential mode while considering handling time and setup time publication-title: Applied Sciences doi: 10.3390/app13063563 – start-page: 849 year: 2000 ident: 10.1016/j.eswa.2025.126830_b0040 – volume: 112 start-page: 214 year: 2024 ident: 10.1016/j.eswa.2025.126830_b0265 article-title: Investigation on distributed rescheduling with cutting tool maintenance based on NSGA-III in large-scale panel furniture intelligent manufacturing publication-title: Journal of Manufacturing Processes doi: 10.1016/j.jmapro.2024.01.016 – volume: 13 start-page: 3167 issue: 18 year: 2021 ident: 10.1016/j.eswa.2025.126830_b0320 article-title: Effect of microcapsules with waterborne coating as core material on properties of coating for Tilia europaea and comparison with other microcapsules publication-title: Polymers doi: 10.3390/polym13183167 – start-page: 514 year: 2022 ident: 10.1016/j.eswa.2025.126830_b0270 article-title: Panel Furniture Production Scheduling with Limited Storage Spaces – volume: 85 start-page: 1303 year: 2016 ident: 10.1016/j.eswa.2025.126830_b0220 article-title: A genetic algorithm for energy-efficiency in job-shop scheduling publication-title: The International Journal of Advanced Manufacturing Technology doi: 10.1007/s00170-015-7987-0 – volume: 419 year: 2023 ident: 10.1016/j.eswa.2025.126830_b0025 article-title: A digital life-cycle management framework for sustainable smart manufacturing in energy intensive industries publication-title: Journal of Cleaner Production – volume: 117 start-page: 2133 issue: 7 year: 2021 ident: 10.1016/j.eswa.2025.126830_b0095 article-title: A study on power-controlled wire-arc additive manufacturing using a data-driven surrogate model publication-title: The International Journal of Advanced Manufacturing Technology doi: 10.1007/s00170-021-07358-y – volume: 140 start-page: 1805 year: 2017 ident: 10.1016/j.eswa.2025.126830_b0120 article-title: Selection of optimum parameters in multi-pass face milling for maximum energy efficiency and minimum production cost publication-title: Journal of Cleaner Production doi: 10.1016/j.jclepro.2016.07.086 |
| SSID | ssj0017007 |
| Score | 2.5082972 |
| Snippet | The manufacture of customized panel furniture today faces significant environmental challenges in terms of energy consumption and the associated impact on the... |
| SourceID | crossref elsevier |
| SourceType | Enrichment Source Index Database Publisher |
| StartPage | 126830 |
| SubjectTerms | Customized panel furniture Energy-efficient scheduling Hybrid flow shop scheduling problem Multi-objective optimization Non-dominated solution genetic algorithm Variable neighborhood search |
| Title | Multi-objective optimization for energy-efficient hybrid flow shop scheduling problem in panel furniture intelligent manufacturing with transportation constraints |
| URI | https://dx.doi.org/10.1016/j.eswa.2025.126830 |
| Volume | 274 |
| WOSCitedRecordID | wos001437894200001&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 issn: 0957-4174 databaseCode: AIEXJ dateStart: 19950101 customDbUrl: isFulltext: true dateEnd: 99991231 titleUrlDefault: https://www.sciencedirect.com omitProxy: false ssIdentifier: ssj0017007 providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3LbtQwFLWGKQs2UF6iUJAX7KJUiSdO4mWFikolKhZFyi6aujbNaEimnaSP3-FL-DTu9SOTGaCiCzZRxnIcK_eMfX19zzEh70XMtMBMtbNJKsKES6MBqUOZM8FRGZefaXPYRHZ8nBeF-DIa_fRcmKt5Vtf5zY1Y_FdTQxkYG6mz9zB33ygUwD0YHa5gdrj-k-ENpTZsTmd2KAsaGBS-O7alFfg2dL9QGfEITAU4v0XaVqDnzXWwPG8WAax4YQZyRHVz4IxJNp_Wah5o6EJlth2qXs2zxSTYDjkSlvRog7teNt2-WaIjiudRWOmofjcApZZbJyjtqXaDTfV-VOpM5LWo6tvKlxWVyycuAOMXfg4eRsE_q1XlztbswNn9Nox1MI7b9Jbt2QctszCJ7bk-fvxm7qcdgWOW5nan57fJwcYpZntqeY2KU4zvrSqvK3FvzJB93qJPiZuV2EaJbZS2jQdki2Vc5GOytf_poDjqd7KyyFL2fc8dccvmGG725M_O0cDhOdkmj91Khe5bhD0lI1U_I0_8KSDUTQrPyY8NwNEh4CgAjm4CjlrAUQQcRcDRFeCoAxytamoAR3vA0QHg6BrgKMKGrgOODgD3gnz9eHDy4TB0J3-EkvG8DaXQCha6p7A4UCqPI51EIsoTyROmuRbgleuISZTuYzqdRujTKjHNYq15ksH3nLwk47qp1StCo1inEy1zKVKWCKidwW3G0lhqJWFxtENi_8lL6WTxsXPz8u_G3iFB_8zCisLcWZt7S5bOrbXuagnAvOO51_d6yxvyaPWP2SXj9rJTb8lDedVWy8t3DpW_AJN1z5Q |
| 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=Multi-objective+optimization+for+energy-efficient+hybrid+flow+shop+scheduling+problem+in+panel+furniture+intelligent+manufacturing+with+transportation+constraints&rft.jtitle=Expert+systems+with+applications&rft.au=Yue%2C+Xinyi&rft.au=Xiong%2C+Xianqing&rft.au=Zhang%2C+Mei&rft.au=Xu%2C+Xiutong&rft.date=2025-05-15&rft.issn=0957-4174&rft.volume=274&rft.spage=126830&rft_id=info:doi/10.1016%2Fj.eswa.2025.126830&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_eswa_2025_126830 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0957-4174&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0957-4174&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0957-4174&client=summon |