Dynamic cyclic kitting part-feeding scheduling for mixed-model assembly line by a hybrid quantum-behaved particle swarm optimization
PurposeThe purpose of this paper is to cut down energy consumption and eliminate production waste on mixed-model assembly lines. Therefore, a supermarket integrated dynamic cyclic kitting system with the application of electric vehicles (EVs) is introduced. The system resorts to just-in-time (JIT) a...
Gespeichert in:
| Veröffentlicht in: | Assembly automation Jg. 43; H. 3; S. 267 - 289 |
|---|---|
| Hauptverfasser: | , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Bingley
Emerald Group Publishing Limited
23.06.2023
|
| Schlagworte: | |
| ISSN: | 2754-6969, 2754-6977 |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Abstract | PurposeThe purpose of this paper is to cut down energy consumption and eliminate production waste on mixed-model assembly lines. Therefore, a supermarket integrated dynamic cyclic kitting system with the application of electric vehicles (EVs) is introduced. The system resorts to just-in-time (JIT) and segmented sub-line assignment strategies, with the objectives of minimizing line-side inventory and energy consumption.Design/methodology/approachHybrid opposition-based learning and variable neighborhood search (HOVMQPSO), a multi-objective meta-heuristics algorithm based on quantum particle swarm optimization is proposed, which hybridizes opposition-based learning methodology as well as a variable neighborhood search mechanism. Such algorithm extends the search space and is capable of obtaining more high-quality solutions.FindingsComputational experiments demonstrated the outstanding performance of HOVQMPSO in solving the proposed part-feeding problem over the two benchmark algorithms non-dominated sorting genetic algorithm-II and quantum-behaved multi-objective particle swarm optimization. Additionally, using modified real-life assembly data, case studies are carried out, which imply HOVQMPSO of having good stability and great competitiveness in scheduling problems.Research limitations/implicationsThe feeding problem is based on static settings in a stable manufacturing system with determined material requirements, without considering the occurrence of uncertain incidents. Current study contributes to assembly line feeding with EV assignment and could be modified to allow cooperation between EVs.Originality/valueThe dynamic cyclic kitting problem with sub-line assignment applying EVs and supermarkets is solved by an innovative HOVMQPSO, providing both novel part-feeding strategy and effective intelligent algorithm for industrial engineering. |
|---|---|
| AbstractList | PurposeThe purpose of this paper is to cut down energy consumption and eliminate production waste on mixed-model assembly lines. Therefore, a supermarket integrated dynamic cyclic kitting system with the application of electric vehicles (EVs) is introduced. The system resorts to just-in-time (JIT) and segmented sub-line assignment strategies, with the objectives of minimizing line-side inventory and energy consumption.Design/methodology/approachHybrid opposition-based learning and variable neighborhood search (HOVMQPSO), a multi-objective meta-heuristics algorithm based on quantum particle swarm optimization is proposed, which hybridizes opposition-based learning methodology as well as a variable neighborhood search mechanism. Such algorithm extends the search space and is capable of obtaining more high-quality solutions.FindingsComputational experiments demonstrated the outstanding performance of HOVQMPSO in solving the proposed part-feeding problem over the two benchmark algorithms non-dominated sorting genetic algorithm-II and quantum-behaved multi-objective particle swarm optimization. Additionally, using modified real-life assembly data, case studies are carried out, which imply HOVQMPSO of having good stability and great competitiveness in scheduling problems.Research limitations/implicationsThe feeding problem is based on static settings in a stable manufacturing system with determined material requirements, without considering the occurrence of uncertain incidents. Current study contributes to assembly line feeding with EV assignment and could be modified to allow cooperation between EVs.Originality/valueThe dynamic cyclic kitting problem with sub-line assignment applying EVs and supermarkets is solved by an innovative HOVMQPSO, providing both novel part-feeding strategy and effective intelligent algorithm for industrial engineering. |
| Author | Zhou, Binghai Huang, Yufan |
| Author_xml | – sequence: 1 givenname: Binghai surname: Zhou fullname: Zhou, Binghai – sequence: 2 givenname: Yufan surname: Huang fullname: Huang, Yufan |
| BookMark | eNp1UE1PAyEQJaYm1tq7RxLPKFAK9NjUryZNTIyeCQuspe5HC6y6nv3h7rbGg4mneZN5783MOwWDqq4cAOcEXxKC5dXjco6wQBRTijCR8ggMqZgyxGdCDH4xn52AcYwbjDGVmGExHYKv67bSpTfQtKboyqtPyVcvcKtDQrlztm-iWTvbFD3M6wBL_-EsKmvrCqhjdGVWtLCbOpi1UMN1mwVv4a7RVWpKlLm1fnN27-hN4WB816GE9Tb50n_q5OvqDBznuohu_FNH4Pn25mlxj1YPd8vFfIUMFSSh7mJmJoRPLc2sdsxioQnFhnNtWc6lJNISmkkuDZ1ZYYXOJRNUCJ5ZJnM9GYGLg-821LvGxaQ2dROqbqWaEEYZxXLGOxY-sEyoYwwuV9vgSx1aRbDq41Zd3AoL1cet-rg7Cf8jMT7tX0tB--J_4TeahohI |
| CitedBy_id | crossref_primary_10_1080_0951192X_2025_2544558 crossref_primary_10_1016_j_ijpe_2024_109176 |
| Cites_doi | 10.3390/futuretransp3010012 10.23055/ijietap.2019.26.5.2810 10.1049/iet-its.2017.0008 10.1080/00207543.2012.751516 10.1108/02635571111099749 10.1016/j.ijpe.2011.07.022 10.1016/j.jclepro.2018.04.251 10.1080/24725854.2018.1479899 10.1080/00207543.2014.944630 10.1108/AA-05-2014-047 10.1109/ROBIO.2015.7419049 10.1080/00207543.2012.657806 10.1108/AA-06-2014-053 10.1109/CEC.2004.1330875 10.1080/00207549308956903 10.1108/AA-09-2016-114 10.1080/00207543.2020.1851793 10.1108/AA-08-2017-102 10.1007/s10479-020-03902-3 10.1016/j.eswa.2009.06.085 10.1080/00207540802456802 10.1016/j.ijpe.2018.07.016 10.1080/00207543.2020.1836421 10.1108/01445151211244357 10.1007/s42524-021-0157-1 10.1080/00207543.2015.1090032 10.1080/00207543.2014.993046 10.1080/00207543.2011.588625 10.1016/j.cor.2013.05.007 10.1016/j.cie.2012.10.002 10.23055/ijietap.2017.24.1.2890 10.1177/0954405417752510 10.1108/AA-06-2020-0081 10.1016/j.ejor.2014.05.029 10.1016/j.swevo.2015.08.002 10.1016/j.cie.2020.106268 10.1016/j.compind.2015.10.001 10.11591/ijra.v9i4.pp256-270 10.1080/0951192X.2018.1493229 |
| ContentType | Journal Article |
| Copyright | Emerald Publishing Limited. |
| Copyright_xml | – notice: Emerald Publishing Limited. |
| DBID | AAYXX CITATION 7SC 7SP 7TB 7WY 7WZ 7XB 8AO 8FD 8FE 8FG ABJCF AFKRA BENPR BEZIV BGLVJ CCPQU DWQXO F28 FR3 F~G HCIFZ JQ2 K6~ L.- L.0 L6V L7M L~C L~D M0C M7S PHGZM PHGZT PKEHL PQBIZ PQEST PQGLB PQQKQ PQUKI PRINS PTHSS Q9U S0W |
| DOI | 10.1108/RIA-07-2022-0188 |
| DatabaseName | CrossRef Computer and Information Systems Abstracts Electronics & Communications Abstracts Mechanical & Transportation Engineering Abstracts ProQuest ABI/INFORM Collection ABI/INFORM Global (PDF only) ProQuest Central (purchase pre-March 2016) ProQuest Pharma Collection Technology Research Database ProQuest SciTech Collection ProQuest Technology Collection Materials Science & Engineering Collection ProQuest Central UK/Ireland ProQuest Central Business Premium Collection Technology Collection ProQuest One Community College ProQuest Central ANTE: Abstracts in New Technology & Engineering Engineering Research Database ABI/INFORM Global (Corporate) SciTech Premium Collection ProQuest Computer Science Collection ProQuest Business Collection ABI/INFORM Professional Advanced ABI/INFORM Professional Standard ProQuest Engineering Collection Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional ABI/INFORM Global Engineering Database ProQuest Central Premium ProQuest One Academic ProQuest One Academic Middle East (New) ProQuest One Business ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China Engineering collection ProQuest Central Basic DELNET Engineering & Technology Collection |
| DatabaseTitle | CrossRef ABI/INFORM Global (Corporate) ProQuest One Business Technology Collection Technology Research Database Computer and Information Systems Abstracts – Academic ProQuest One Academic Middle East (New) Mechanical & Transportation Engineering Abstracts ProQuest Computer Science Collection Computer and Information Systems Abstracts SciTech Premium Collection ProQuest One Community College ProQuest Pharma Collection ProQuest Central China ABI/INFORM Complete ProQuest Central ABI/INFORM Professional Advanced ProQuest One Applied & Life Sciences ProQuest Engineering Collection ABI/INFORM Professional Standard ProQuest Central Korea ProQuest Central (New) Advanced Technologies Database with Aerospace Engineering Collection ANTE: Abstracts in New Technology & Engineering Business Premium Collection ABI/INFORM Global Engineering Database ProQuest Central Basic ProQuest One Academic Eastern Edition Electronics & Communications Abstracts ProQuest Technology Collection ProQuest SciTech Collection ProQuest Business Collection Computer and Information Systems Abstracts Professional ProQuest One Academic UKI Edition ProQuest DELNET Engineering and Technology Collection Materials Science & Engineering Collection Engineering Research Database ProQuest One Academic ProQuest One Academic (New) |
| DatabaseTitleList | ABI/INFORM Global (Corporate) |
| Database_xml | – sequence: 1 dbid: BENPR name: ProQuest Central url: https://www.proquest.com/central sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 2754-6977 |
| EndPage | 289 |
| ExternalDocumentID | 10_1108_RIA_07_2022_0188 |
| GroupedDBID | 7WY 8AO AAGBP AATHL AAYXX ABJCF ABYQI ACZLT AFKRA AHMHQ ALMA_UNASSIGNED_HOLDINGS AODMV BENPR BEZIV BGLVJ CCPQU CITATION DWQXO EBS ECCUG GEI GQ. HCIFZ M0C M42 M7S PHGZM PHGZT PQBIZ PQGLB PTHSS S0W 0R~ 23N 4.4 5GY 5VS 6J9 70U 7SC 7SP 7TB 7XB 8FD 8FE 8FG 8FW 8R4 8R5 9E0 AAMCF AAUDR ABIJV ABJNI ABKQV ABSDC ACGFS ACIWK ADFRT ADOMW AEBZA AENEX AFYHH AFZLO AJEBP ASMFL BPHCQ CS3 F28 FNNZZ FR3 GEL HZ~ IPNFZ J1Y JI- JL0 JQ2 K6~ KBGRL L.- L.0 L6V L7M L~C L~D MS~ O9- PKEHL PQEST PQQKQ PQUKI PRINS PROAC Q2X Q9U RIG U5U UNMZH |
| ID | FETCH-LOGICAL-c271t-4074c3165d2bdae4d07a120c66ad4f68818d12b868c29d7d7af8472776bd48fa3 |
| IEDL.DBID | 7WY |
| ISICitedReferencesCount | 5 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001002286500001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 2754-6969 |
| IngestDate | Mon Jun 30 10:58:28 EDT 2025 Sat Nov 29 07:40:52 EST 2025 Tue Nov 18 22:36:02 EST 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 3 |
| Language | English |
| License | https://www.emerald.com/insight/site-policies |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c271t-4074c3165d2bdae4d07a120c66ad4f68818d12b868c29d7d7af8472776bd48fa3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| PQID | 3142420896 |
| PQPubID | 31809 |
| PageCount | 23 |
| ParticipantIDs | proquest_journals_3142420896 crossref_primary_10_1108_RIA_07_2022_0188 crossref_citationtrail_10_1108_RIA_07_2022_0188 |
| PublicationCentury | 2000 |
| PublicationDate | 2023-06-23 |
| PublicationDateYYYYMMDD | 2023-06-23 |
| PublicationDate_xml | – month: 06 year: 2023 text: 2023-06-23 day: 23 |
| PublicationDecade | 2020 |
| PublicationPlace | Bingley |
| PublicationPlace_xml | – name: Bingley |
| PublicationTitle | Assembly automation |
| PublicationYear | 2023 |
| Publisher | Emerald Group Publishing Limited |
| Publisher_xml | – name: Emerald Group Publishing Limited |
| References | (key2023062305000631400_ref001) 2016; 26 (key2023062305000631400_ref046) 2018; 31 (key2023062305000631400_ref049) 2021; 41 (key2023062305000631400_ref047) 2019; 233 (key2023062305000631400_ref027) 2022 (key2023062305000631400_ref0230) 2015 (key2023062305000631400_ref044) 2020; 140 (key2023062305000631400_ref032) 2021; 59 (key2023062305000631400_ref010) 2013; 64 (key2023062305000631400_ref014) 2019; 50 (key2023062305000631400_ref050) 2021; 1 (key2023062305000631400_ref023) 2020; 9 (key2023062305000631400_ref002) 2015; 35 (key2023062305000631400_ref031) 2013; 40 (key2023062305000631400_ref007) 2012; 135 (key2023062305000631400_ref021) 2012; 50 (key2023062305000631400_ref034) 2018; 12 (key2023062305000631400_ref011) 2014; 75 (key2023062305000631400_ref019) 2012; 32 (key2023062305000631400_ref026) 2023; 3 (key2023062305000631400_ref042) 2018; 203 (key2023062305000631400_ref012) 2016; 54 (key2023062305000631400_ref022) 2010; 37 (key2023062305000631400_ref038) 2021 (key2023062305000631400_ref020) 2015; 35 (key2023062305000631400_ref003) 2014; 239 (key2023062305000631400_ref013) 2015; 53 (key2023062305000631400_ref036) 2016; 81 (key2023062305000631400_ref024) 2019 (key2023062305000631400_ref045) 2018; 192 (key2023062305000631400_ref030) 2021; 8 (key2023062305000631400_ref037) 2005 (key2023062305000631400_ref018) 2017; 37 (key2023062305000631400_ref004) 2011; 111 (key2023062305000631400_ref029) 2018; 38 (key2023062305000631400_ref039) 2019; 26 (key2023062305000631400_ref040) 2017; 24 (key2023062305000631400_ref041) 2021; 59 (key2023062305000631400_ref005) 1993; 31 (key2023062305000631400_ref008) 2018; 50 (key2023062305000631400_ref028) 2022; 2022 (key2023062305000631400_ref043) 2021; 235 (key2023062305000631400_ref009) 2013; 51 (key2023062305000631400_ref016) 2021; 63 (key2023062305000631400_ref048) 2021; 163 (key2023062305000631400_ref015) 2013; 51 (key2023062305000631400_ref033) 2015; 53 (key2023062305000631400_ref025) 2022 (key2023062305000631400_ref035) 2004 (key2023062305000631400_ref017) 2010; 48 (key2023062305000631400_ref006) 2021; 304 |
| References_xml | – volume: 3 start-page: 189 issue: 1 year: 2023 ident: key2023062305000631400_ref026 article-title: A secure traffic police remote sensing approach via a deep learning-based low-altitude vehicle speed detector through UAVs in smart cites: algorithm, implementation and evaluation publication-title: Future Transportation doi: 10.3390/futuretransp3010012 – volume: 163 year: 2021 ident: key2023062305000631400_ref048 article-title: A hybrid fuzzy-neural-based dynamic scheduling method for part feeding of mixed-model assembly lines publication-title: Computers & Industrial Engineering – volume: 26 issue: 5 year: 2019 ident: key2023062305000631400_ref039 article-title: A multi-objective scheduling of hybrid manufacturing systems with walking workers publication-title: International Journal of Industrial Engineering: Theory, Applications and Practice doi: 10.23055/ijietap.2019.26.5.2810 – volume: 12 start-page: 202 issue: 3 year: 2018 ident: key2023062305000631400_ref034 article-title: Electric vehicle-routing problem with charging demands and energy consumption publication-title: IET Intelligent Transport Systems doi: 10.1049/iet-its.2017.0008 – volume: 51 start-page: 2997 issue: 10 year: 2013 ident: key2023062305000631400_ref009 article-title: Kanban number optimisation in a supermarket warehouse feeding a mixed-model assembly system publication-title: International Journal of Production Research doi: 10.1080/00207543.2012.751516 – start-page: 606 volume-title: IEEE 17th International Conference on Automation Science and Engineering (CASE) year: 2021 ident: key2023062305000631400_ref038 article-title: A harmony search based algorithm for a stochastic two-sided assembly line balancing problem – volume: 111 start-page: 84 issue: 1 year: 2011 ident: key2023062305000631400_ref004 article-title: A methodology for selecting assembly systems feeding policy publication-title: Industrial Management & Data Systems doi: 10.1108/02635571111099749 – volume: 135 start-page: 393 issue: 1 year: 2012 ident: key2023062305000631400_ref007 article-title: Optimally locating in-house logistics areas to facilitate JIT-supply of mixed-model assembly lines publication-title: International Journal of Production Economics doi: 10.1016/j.ijpe.2011.07.022 – volume: 192 start-page: 293 year: 2018 ident: key2023062305000631400_ref045 article-title: Multi-objective optimization of material delivery for mixed model assembly lines with energy consideration publication-title: Journal of Cleaner Production doi: 10.1016/j.jclepro.2018.04.251 – volume: 50 start-page: 1013 issue: 11 year: 2018 ident: key2023062305000631400_ref008 article-title: Scheduling electric vehicles making milk-runs for just-in-time delivery publication-title: IISE Transactions doi: 10.1080/24725854.2018.1479899 – volume: 53 start-page: 1439 issue: 5 year: 2015 ident: key2023062305000631400_ref033 article-title: An empirical assessment of the performances of three line feeding modes used in the automotive sector: line stocking vs. kitting vs sequencing publication-title: International Journal of Production Research doi: 10.1080/00207543.2014.944630 – volume: 35 start-page: 57 issue: 1 year: 2015 ident: key2023062305000631400_ref020 article-title: Advances in assembly line parts feeding policies: a literature review publication-title: Assembly Automation doi: 10.1108/AA-05-2014-047 – volume: 2022 year: 2022 ident: key2023062305000631400_ref028 article-title: Simulation and validation of optimized PID controller in AGV (automated guided vehicles) model using PSO and BAS algorithms publication-title: Computational Intelligence and Neuroscience – volume: 50 year: 2019 ident: key2023062305000631400_ref014 article-title: A three-level particle swarm optimization with variable neighbourhood search algorithm for the production scheduling problem with Mould maintenance publication-title: Swarm and Evolutionary Computation – start-page: 1 volume-title: 8th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS) year: 2022 ident: key2023062305000631400_ref027 article-title: Fusion BASED AGV robot navigation solution comparative analysis and VREP simulation – volume: 304 year: 2021 ident: key2023062305000631400_ref006 article-title: Integrated operational planning model, considering optimal delivery routing, incentives and electric vehicle aggregated demand management publication-title: Applied Energy – start-page: 1894 year: 2015 ident: key2023062305000631400_ref0230 article-title: Heterogeneous AGV routing problem considering energy consumption publication-title: IEEE International Conference on Robotics and Biomimetics (ROBIO), Zhuhai, China doi: 10.1109/ROBIO.2015.7419049 – volume: 51 start-page: 979 issue: 4 year: 2013 ident: key2023062305000631400_ref015 article-title: A comparison of kitting and continuous supply in in-plant materials supply publication-title: International Journal of Production Research doi: 10.1080/00207543.2012.657806 – volume: 35 start-page: 149 issue: 1 year: 2015 ident: key2023062305000631400_ref002 article-title: Part-feeding with supermarket in assembly systems: transportation mode selection model and multi-scenario analysis publication-title: Assembly Automation doi: 10.1108/AA-06-2014-053 – volume: 235 start-page: 839 issue: 6 year: 2021 ident: key2023062305000631400_ref043 article-title: Hybrid self-adaptive biobjective optimization of multiple robot scheduling problem for mixed-model assembly lines considering energy savings publication-title: Proceedings of the Institution of Mechanical Engineers Part I-Journal of Systems and Control Engineering – start-page: 325 volume-title: Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753) year: 2004 ident: key2023062305000631400_ref035 article-title: Particle swarm optimization with particles having quantum behavior doi: 10.1109/CEC.2004.1330875 – volume: 31 start-page: 2835 issue: 12 year: 1993 ident: key2023062305000631400_ref005 article-title: An evaluation of heuristics for allocating components to kits in small-lot, multi-echelon assembly systems publication-title: International Journal of Production Research doi: 10.1080/00207549308956903 – volume: 37 start-page: 84 issue: 1 year: 2017 ident: key2023062305000631400_ref018 article-title: Design methodology for a hybrid part feeding system in lean-based assembly lines publication-title: Assembly Automation doi: 10.1108/AA-09-2016-114 – volume: 59 start-page: 4881 issue: 16 year: 2021 ident: key2023062305000631400_ref041 article-title: A supervised machine learning approach for the optimisation of the assembly line feeding mode selection publication-title: International Journal of Production Research doi: 10.1080/00207543.2020.1851793 – volume: 38 start-page: 347 issue: 3 year: 2018 ident: key2023062305000631400_ref029 article-title: Scheduling multiple servers to facilitate just-in-time part-supply in automobile assembly lines publication-title: Assembly Automation doi: 10.1108/AA-08-2017-102 – volume: 1 year: 2021 ident: key2023062305000631400_ref050 article-title: Tactical level strategies for multi-objective disassembly line balancing problem with multi-manned stations: an optimization model and solution approaches publication-title: Annals of Operations Research doi: 10.1007/s10479-020-03902-3 – volume: 37 start-page: 1446 issue: 2 year: 2010 ident: key2023062305000631400_ref022 article-title: A hybrid genetic – particle swarm optimization algorithm for the vehicle routing problem publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2009.06.085 – volume: 48 start-page: 779 issue: 3 year: 2010 ident: key2023062305000631400_ref017 article-title: Research issues on factors influencing the choice of kitting versus line stocking publication-title: International Journal of Production Research doi: 10.1080/00207540802456802 – volume: 203 start-page: 404 year: 2018 ident: key2023062305000631400_ref042 article-title: Electric vehicle routing problem with recharging stations for minimizing energy consumption publication-title: International Journal of Production Economics doi: 10.1016/j.ijpe.2018.07.016 – volume: 59 start-page: 7216 issue: 23 year: 2021 ident: key2023062305000631400_ref032 article-title: Multi-objective optimisation for energy-aware flexible job-shop scheduling problem with assembly operations publication-title: International Journal of Production Research doi: 10.1080/00207543.2020.1836421 – volume: 32 start-page: 226 issue: 3 year: 2012 ident: key2023062305000631400_ref019 article-title: Design of kitting system in lean‐based assembly lines publication-title: Assembly Automation doi: 10.1108/01445151211244357 – volume: 63 year: 2021 ident: key2023062305000631400_ref016 article-title: Major advances in particle swarm optimization: theory, analysis, and application publication-title: Swarm and Evolutionary Computation – volume: 8 start-page: 370 issue: 3 year: 2021 ident: key2023062305000631400_ref030 article-title: A review on the electric vehicle routing problems: variants and algorithms publication-title: Frontiers of Engineering Management doi: 10.1007/s42524-021-0157-1 – volume: 54 start-page: 878 issue: 3 year: 2016 ident: key2023062305000631400_ref012 article-title: A modified particle swarm optimisation algorithm to solve the part feeding problem at assembly lines publication-title: International Journal of Production Research doi: 10.1080/00207543.2015.1090032 – start-page: 1721 volume-title: 7th International Conference on Intelligent Computing and Signal Processing (ICSP) year: 2022 ident: key2023062305000631400_ref025 article-title: Personal image classifier based handy pipe defect recognizer (HPD): design and test – volume: 53 start-page: 3433 issue: 11 year: 2015 ident: key2023062305000631400_ref013 article-title: Dynamic resequencing at mixed-model assembly lines publication-title: International Journal of Production Research doi: 10.1080/00207543.2014.993046 – volume: 50 start-page: 4046 issue: 15 year: 2012 ident: key2023062305000631400_ref021 article-title: Optimising part feeding in the automotive assembly industry: deciding between kitting and line stocking publication-title: International Journal of Production Research doi: 10.1080/00207543.2011.588625 – volume: 40 start-page: 2599 issue: 11 year: 2013 ident: key2023062305000631400_ref031 article-title: Scheduling a single vehicle in the just-in-time part supply for a mixed-model assembly line publication-title: Computers & Operations Research doi: 10.1016/j.cor.2013.05.007 – start-page: 6 volume-title: IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) year: 2019 ident: key2023062305000631400_ref024 article-title: Path planning and trajectroy tracking of a mobile robot using bio-inspired optimization algorithms and PID control – volume: 64 start-page: 224 issue: 1 year: 2013 ident: key2023062305000631400_ref010 article-title: Parallel-machine scheduling to minimize tardiness penalty and power cost publication-title: Computers & Industrial Engineering doi: 10.1016/j.cie.2012.10.002 – volume: 24 issue: 1 year: 2017 ident: key2023062305000631400_ref040 article-title: Determination of material handling equipment for lean in-plant logistics using fuzzy analytical network process considering risk attitudes of the experts publication-title: International Journal of Industrial Engineering: Theory, Applications and Practice doi: 10.23055/ijietap.2017.24.1.2890 – volume: 233 start-page: 975 issue: 3 year: 2019 ident: key2023062305000631400_ref047 article-title: A novel optimized cyclic part feeding system with line-integrated supermarkets publication-title: Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture doi: 10.1177/0954405417752510 – volume: 41 start-page: 24 issue: 1 year: 2021 ident: key2023062305000631400_ref049 article-title: Improved multi-objective cuckoo search algorithm with novel search strategies for point-to-point part feeding scheduling problems of automotive assembly lines publication-title: Assembly Automation doi: 10.1108/AA-06-2020-0081 – start-page: 695 volume-title: International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06) year: 2005 ident: key2023062305000631400_ref037 article-title: Opposition-based learning: a new scheme for machine intelligence – volume: 239 start-page: 820 issue: 3 year: 2014 ident: key2023062305000631400_ref003 article-title: Scheduling the part supply of mixed-model assembly lines in line-integrated supermarkets publication-title: European Journal of Operational Research doi: 10.1016/j.ejor.2014.05.029 – volume: 26 start-page: 64 year: 2016 ident: key2023062305000631400_ref001 article-title: Opposition-based learning in the shuffled bidirectional differential evolution algorithm publication-title: Swarm and Evolutionary Computation doi: 10.1016/j.swevo.2015.08.002 – volume: 140 year: 2020 ident: key2023062305000631400_ref044 article-title: A material handling scheduling method for mixed-model automotive assembly lines based on an improved static kitting strategy publication-title: Computers & Industrial Engineering doi: 10.1016/j.cie.2020.106268 – volume: 81 start-page: 82 year: 2016 ident: key2023062305000631400_ref036 article-title: Energy-efficient dynamic scheduling for a flexible flow shop using an improved particle swarm optimization publication-title: Computers in Industry doi: 10.1016/j.compind.2015.10.001 – volume: 9 start-page: 256 issue: 4 year: 2020 ident: key2023062305000631400_ref023 article-title: The quadrotor dynamic modeling and study of meta-heuristic algorithms performance on optimization of PID controller index to control angles and tracking the route publication-title: International Journal of Robotics and Automation (IJRA) doi: 10.11591/ijra.v9i4.pp256-270 – volume: 31 start-page: 978 issue: 10 year: 2018 ident: key2023062305000631400_ref046 article-title: Electric vehicle handling routing and battery swap station location optimisation for automotive assembly lines publication-title: International Journal of Computer Integrated Manufacturing doi: 10.1080/0951192X.2018.1493229 – volume: 75 start-page: 629 issue: 1/4 year: 2014 ident: key2023062305000631400_ref011 article-title: A novel memetic ant colony optimization-based Heuristic Algorithm for solving the assembly line part feeding problem publication-title: The International Journal of Advanced Manufacturing Technology |
| SSID | ssj0002804075 ssj0011022 |
| Score | 2.2578826 |
| Snippet | PurposeThe purpose of this paper is to cut down energy consumption and eliminate production waste on mixed-model assembly lines. Therefore, a supermarket... |
| SourceID | proquest crossref |
| SourceType | Aggregation Database Enrichment Source Index Database |
| StartPage | 267 |
| SubjectTerms | Algorithms Assembly lines Electric vehicles Energy consumption Genetic algorithms Industrial engineering Integer programming Machine learning Manufacturing Multiple objective analysis Optimization Particle swarm optimization Production scheduling Scheduling Searching Sorting algorithms Supermarkets Work in process Workloads |
| Title | Dynamic cyclic kitting part-feeding scheduling for mixed-model assembly line by a hybrid quantum-behaved particle swarm optimization |
| URI | https://www.proquest.com/docview/3142420896 |
| Volume | 43 |
| WOSCitedRecordID | wos001002286500001&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: PRVPQU databaseName: ABI/INFORM Collection customDbUrl: eissn: 2754-6977 dateEnd: 20241214 omitProxy: false ssIdentifier: ssj0002804075 issn: 2754-6969 databaseCode: 7WY dateStart: 20010101 isFulltext: true titleUrlDefault: https://www.proquest.com/abicomplete providerName: ProQuest – providerCode: PRVPQU databaseName: ABI/INFORM Global customDbUrl: eissn: 2754-6977 dateEnd: 20241214 omitProxy: false ssIdentifier: ssj0002804075 issn: 2754-6969 databaseCode: M0C dateStart: 20010101 isFulltext: true titleUrlDefault: https://search.proquest.com/abiglobal providerName: ProQuest – providerCode: PRVPQU databaseName: Engineering Database customDbUrl: eissn: 2754-6977 dateEnd: 20241214 omitProxy: false ssIdentifier: ssj0002804075 issn: 2754-6969 databaseCode: M7S dateStart: 20010101 isFulltext: true titleUrlDefault: http://search.proquest.com providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 2754-6977 dateEnd: 20241214 omitProxy: false ssIdentifier: ssj0002804075 issn: 2754-6969 databaseCode: BENPR dateStart: 20010101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lb9QwELZKywEObXlU9CkfuHCw1nH8yqkqfahIsKoKiHKKHNtRV93sbvdR2Ds_vDPebCmXXrgkivKQpZnMN-N5fIS891y43NYZBDkiMBmVYhZwkSmZB6-MrKRLQ1w_m27XXl0VF-2G26Qtq1zaxGSow9DjHnknx5YswW2hD0e3DFmjMLvaUmg8I2sA1AoZDMyPnw9ZBIxmkFzOKMl0oYtlmpLbzuWnI9yhE1jMzrPEu_IIlv61yglqzjb-d5GbZL11MunRQitekZU4eE1ePho9-Ib8OVlQ0VM_93043fRSATQdgSqxegFpFCJfQCJsWKfg29Km9zsGlrhzKPjcsan6c4puKq3m1NHrOXZ_0dsZCGvWsDQAIIb0RVwGnfxy44YOwUY1bfPnW_L97PTb8TlrGRmYFyabQrBppM8zrYKogosycOMywb3WLshaW0D_kInKautFEUwwrgb0E8boKkhbu3yLrA6Gg_iOUCVsFYpM1kobGUElaoMZPKEjeJAi-G3SWQqk9O24cmTN6JcpbOG2BBGW3JQowhJFuE0-PLwxWozqeOLZvaUAy_annZR_pbfz9O1d8gJZ57FiTOR7ZHU6nsV98tzfTXuT8UHSwQOy9vG0e3EJV1_4MR7N13ujpOgz |
| linkProvider | ProQuest |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Nb9QwELVKQaIc-EYtFPABDhysdRzHdg4IVS1VV92uECpSb8GxHbFis7vdD0ru_B5-IzPepJRLbz1wyiGJFTnPM_M8nnmEvHFc2NRUCZAc4ZkMWcYM-EWWydS7TMtS2tjEdaCHQ3N2ln_aIL-7Whg8VtnZxGio_dThHnkvxZIswU2uPszOGapGYXa1k9BYw-I4NBdA2Rbv-wfwf98KcfjxdP-ItaoCzAmdLIEwaenSRGVelN4G6bm2ieBOKetlpQx4MJ-I0ijjRO6117YCCy60VqWXprIpjHuL3JZAvHBdnfD9y6wFsicUs9OZZCpXeZcW5ab3ub-HO4ICD8_zJOq8XHGD_3qB6NoOH_xvk_KQ3G-DaLq3Rv0jshEmj8m9K60Vn5BfB83E1iNHXePGcPk-ige86QyWCqvWLpsCswdPiwX5FGJ3Wo9-Bs-iNhAFThHqctxQDMNp2VBLvzVY3UbPVwDGVc1ig4Pg44j4GXRxYec1nYINrtvi1qfky41MwzOyOZlOwjahmTClzxNZZUrLAJCvNGYohQoQIQvvdkivA0Dh2nbsqAoyLiIt46YAyBRcFwiZAiGzQ95dvjFbtyK55tndDjBFa5QWxV-0PL_-9mty9-j0ZFAM-sPjF2QLRkUFECbSXbK5nK_CS3LH_ViOFvNXEf-UfL1pbP0BVkdAoA |
| 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=Dynamic+cyclic+kitting+part-feeding+scheduling+for+mixed-model+assembly+line+by+a+hybrid+quantum-behaved+particle+swarm+optimization&rft.jtitle=Robotic+Intelligence+and+Automation&rft.au=Zhou%2C+Binghai&rft.au=Huang%2C+Yufan&rft.date=2023-06-23&rft.issn=2754-6969&rft.eissn=2754-6977&rft.volume=43&rft.issue=3&rft.spage=267&rft.epage=289&rft_id=info:doi/10.1108%2FRIA-07-2022-0188&rft.externalDBID=n%2Fa&rft.externalDocID=10_1108_RIA_07_2022_0188 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2754-6969&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2754-6969&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2754-6969&client=summon |