Optimization of the Baggage Loading and Unloading Equipment
The subject of this paper is a development of the mathematical model for determining the number of airport equipment dedicated for the baggage loading and unloading. This model can predict the demand for the carts and loaders based on the input data. Based on this prediction, the optimal number of e...
Saved in:
Published in | Transportation research procedia (Online) Vol. 65; pp. 246 - 255 |
---|---|
Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
2022
|
Subjects | |
Online Access | Get full text |
ISSN | 2352-1465 2352-1465 |
DOI | 10.1016/j.trpro.2022.11.029 |
Cover
Abstract | The subject of this paper is a development of the mathematical model for determining the number of airport equipment dedicated for the baggage loading and unloading. This model can predict the demand for the carts and loaders based on the input data. Based on this prediction, the optimal number of equipment is calculated. The ability to predict the required amount of the airport vehicles in advance could make the aircraft loading and unloading process more efficient. It would also allow better capacity planning of the ground handling system. In the first part, the current state and procedures for baggage loading and unloading are analysed. Based on the theory of linear programming, a mathematical model is created to predict a demand for equipment and calculate the optimal number needed to handle all flights. This model is subsequently implemented in the created software, which allows to perform experiments with the proposed mathematical model. Operation data from Václav Havel Airport Prague are used to verify the correct functioning of the model. |
---|---|
AbstractList | The subject of this paper is a development of the mathematical model for determining the number of airport equipment dedicated for the baggage loading and unloading. This model can predict the demand for the carts and loaders based on the input data. Based on this prediction, the optimal number of equipment is calculated. The ability to predict the required amount of the airport vehicles in advance could make the aircraft loading and unloading process more efficient. It would also allow better capacity planning of the ground handling system. In the first part, the current state and procedures for baggage loading and unloading are analysed. Based on the theory of linear programming, a mathematical model is created to predict a demand for equipment and calculate the optimal number needed to handle all flights. This model is subsequently implemented in the created software, which allows to perform experiments with the proposed mathematical model. Operation data from Václav Havel Airport Prague are used to verify the correct functioning of the model. |
Author | Had, Petr Stojić, Slobodan Volt, Jiří |
Author_xml | – sequence: 1 givenname: Jiří surname: Volt fullname: Volt, Jiří email: voltjiri@fd.cvut.cz organization: Faculty of Transportation Sciences, Czech Technical University in Prague, Horská 3, 128 03 Prague, Czech Republic – sequence: 2 givenname: Slobodan surname: Stojić fullname: Stojić, Slobodan organization: Faculty of Transportation Sciences, Czech Technical University in Prague, Horská 3, 128 03 Prague, Czech Republic – sequence: 3 givenname: Petr surname: Had fullname: Had, Petr organization: Faculty of Transportation Sciences, Czech Technical University in Prague, Horská 3, 128 03 Prague, Czech Republic |
BookMark | eNqFkE1LAzEQhoNUsNb-Ai_7B3bNJLvbBvGgpX5AoRd7DmkyWVPaZM1GQX-929qDeNDTzMD7DDzvORn44JGQS6AFUKivNkWKbQwFo4wVAAVl4oQMGa9YDmVdDX7sZ2TcdRtK-0gFnMOQXC_b5HbuUyUXfBZsll4wu1NNoxrMFkEZ55tMeZOt_PZ4zV_fXLtDny7IqVXbDsfHOSKr-_nz7DFfLB-eZreLXIPgImeloqzCUtkaNKXTCVVmYuhaMEO5VYartdDWoJ4y5GUFigrDGQddTWrgaPmI8O-_Ooaui2hlG91OxQ8JVO4rkBt5qEDuK5AAsvfrKfGL0i4dNFNUbvsPe_PNYq_17jDKTjv0Go2LqJM0wf3JfwEk63qt |
CitedBy_id | crossref_primary_10_3390_futuretransp4020025 |
Cites_doi | 10.5772/9718 10.1016/j.sbspro.2013.12.817 |
ContentType | Journal Article |
Copyright | 2022 |
Copyright_xml | – notice: 2022 |
DBID | 6I. AAFTH AAYXX CITATION |
DOI | 10.1016/j.trpro.2022.11.029 |
DatabaseName | ScienceDirect Open Access Titles Elsevier:ScienceDirect:Open Access CrossRef |
DatabaseTitle | CrossRef |
DatabaseTitleList | |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Economics |
EISSN | 2352-1465 |
EndPage | 255 |
ExternalDocumentID | 10_1016_j_trpro_2022_11_029 S2352146522006962 |
GroupedDBID | 0R~ 0SF 4.4 457 6I. AACTN AAEDT AAEDW AAFTH AAIKJ AALRI AAXUO ABMAC ACGFS ADBBV ADEZE AEXQZ AFTJW AGHFR AITUG ALMA_UNASSIGNED_HOLDINGS AMRAJ EBS EJD FDB IXB KQ8 M41 NCXOZ O9- OK1 RIG ROL SSZ AAYWO AAYXX ACVFH ADCNI ADVLN AEUPX AFPUW AIGII AKBMS AKRWK AKYEP CITATION |
ID | FETCH-LOGICAL-c1939-24a025e4af61c00870ad7d0b92d03fad3ab9cfdec82e3451a09d3231c57613ef3 |
IEDL.DBID | IXB |
ISSN | 2352-1465 |
IngestDate | Tue Jul 01 01:20:10 EDT 2025 Thu Apr 24 22:54:00 EDT 2025 Fri Feb 23 02:38:29 EST 2024 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | false |
IsScholarly | true |
Keywords | ground handling linear programming optimization ground service equipment |
Language | English |
License | This is an open access article under the CC BY-NC-ND license. |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c1939-24a025e4af61c00870ad7d0b92d03fad3ab9cfdec82e3451a09d3231c57613ef3 |
OpenAccessLink | https://www.sciencedirect.com/science/article/pii/S2352146522006962 |
PageCount | 10 |
ParticipantIDs | crossref_primary_10_1016_j_trpro_2022_11_029 crossref_citationtrail_10_1016_j_trpro_2022_11_029 elsevier_sciencedirect_doi_10_1016_j_trpro_2022_11_029 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2022 2022-00-00 |
PublicationDateYYYYMMDD | 2022-01-01 |
PublicationDate_xml | – year: 2022 text: 2022 |
PublicationDecade | 2020 |
PublicationTitle | Transportation research procedia (Online) |
PublicationYear | 2022 |
Publisher | Elsevier B.V |
Publisher_xml | – name: Elsevier B.V |
References | Ip, Cho, Chung, Ho (bib0003) 2010; 2 Thie, Keough (bib0006) 2008 Andreatta, De Giovanni, Monaci (bib0001) 2014; 108 Evler, Asadi, Preis, Fricke (bib0002) 2021; 2021 Murthy (bib0005) 2005; 2005 Kerner, L., Sýkora, V., Kulčák, L. 2003 Provozní aspekty letišť. Praha: ČVUT, 2003. ISBN 80-01-02841-0. Ip (10.1016/j.trpro.2022.11.029_bib0003) 2010; 2 Andreatta (10.1016/j.trpro.2022.11.029_bib0001) 2014; 108 Thie (10.1016/j.trpro.2022.11.029_bib0006) 2008 Evler (10.1016/j.trpro.2022.11.029_bib0002) 2021; 2021 Murthy (10.1016/j.trpro.2022.11.029_bib0005) 2005; 2005 10.1016/j.trpro.2022.11.029_bib0004 |
References_xml | – reference: Kerner, L., Sýkora, V., Kulčák, L. 2003 Provozní aspekty letišť. Praha: ČVUT, 2003. ISBN 80-01-02841-0. – volume: 2 year: 2010 ident: bib0003 article-title: 2010 A Multi Agent Based Model for Airport Service Planning publication-title: International Journal of Engineering Business Management – volume: 108 start-page: 26 year: 2014 end-page: 36 ident: bib0001 article-title: A Fast Heuristic for Airport Ground-Service Equipment–and–Staff Allocation publication-title: Procedia - Social and Behavioral Sciences – volume: 2021 start-page: 128 year: 2021 ident: bib0002 article-title: Airline ground operations: Schedule recovery optimization approach with constrained resources publication-title: Transportation Research Part C: Emerging Technologies – volume: 2005 year: 2005 ident: bib0005 publication-title: Operations Research (Linear programming) – start-page: c2008 year: 2008 ident: bib0006 article-title: An introduction to linear programming and game theory – volume: 2021 start-page: 128 year: 2021 ident: 10.1016/j.trpro.2022.11.029_bib0002 article-title: Airline ground operations: Schedule recovery optimization approach with constrained resources publication-title: Transportation Research Part C: Emerging Technologies – ident: 10.1016/j.trpro.2022.11.029_bib0004 – volume: 2 year: 2010 ident: 10.1016/j.trpro.2022.11.029_bib0003 article-title: 2010 A Multi Agent Based Model for Airport Service Planning publication-title: International Journal of Engineering Business Management doi: 10.5772/9718 – start-page: c2008 year: 2008 ident: 10.1016/j.trpro.2022.11.029_bib0006 – volume: 108 start-page: 26 year: 2014 ident: 10.1016/j.trpro.2022.11.029_bib0001 article-title: A Fast Heuristic for Airport Ground-Service Equipment–and–Staff Allocation publication-title: Procedia - Social and Behavioral Sciences doi: 10.1016/j.sbspro.2013.12.817 – volume: 2005 year: 2005 ident: 10.1016/j.trpro.2022.11.029_bib0005 |
SSID | ssj0002951331 |
Score | 2.1682243 |
Snippet | The subject of this paper is a development of the mathematical model for determining the number of airport equipment dedicated for the baggage loading and... |
SourceID | crossref elsevier |
SourceType | Enrichment Source Index Database Publisher |
StartPage | 246 |
SubjectTerms | ground handling ground service equipment linear programming optimization |
Title | Optimization of the Baggage Loading and Unloading Equipment |
URI | https://dx.doi.org/10.1016/j.trpro.2022.11.029 |
Volume | 65 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LT8JAEJ4QPOjF-Iz4IHvwaKXdPmjjCQiEiI9EJXJr9lUCwYII_9_Z7ZZoYjh43KaTNLO733y7nfkG4NqLXZ5FbuAkcaicIEIOx5HFOrFE9p94ImFmph-fov4wuB-Fowp0yloYnVZpsb_AdIPW9knDerOxmEwarxS5A-5zJBBabtfgsK4q1UV8o_bmnoUmuoOJZ3rMhdTRBqX4kEnzWi0RqfCcSOmtVvM0VPOPAPUj6PQOYN-yRdIqPugQKio_gt2ymPjrGO6ecct_2FpKMs8I8jnSZuMxwgR5mJsEecJySYb5zI66n-uJSRI6gWGv-9bpO7YfgiOQZukfIQwZigpYFnlCa8m5TDalyxMqXT9j0mc8EZlUIqbKD0KPuYn0kb8JPFN4vsr8U6jm81ydAVGB1pFrcskoDxiCXiiQJzQz5quYY8CqAS2dkAorFq57VszSMitsmhrPpdpzeIxI0XM1uNkYLQqtjO2vR6V3019TniKabzM8_6_hBezpUXGDcgnV1XKtrpBTrHgddlqDl_dB3Syeb-HpyaA |
linkProvider | Elsevier |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnZ3LT8IwHMcbgge8GJ8Rnz14dLJ1D7Z4EgIBBTwICbemrxEMDsTx__tr1xFNDAePe_yS5df120-3X79F6M6LXZ5GbuAkcaicIAKG40CxTiyB_hNPJMy09HAU9SbB8zScVlC7XAujyyqt9heabtTanmnYbDZW83njjQA7QD8HgNB2u1qH94AGIm2g35-2th9aSKK3MPHMJnMhcXRE6T5k6rzyNUgVTBQJedB2noY1_xihfow63UN0YHERPxVPdIQqKjtGtXI18dcJenyFPv9hF1PiZYoB6HCLzWagE3iwNBXymGUST7KFPep8buamSugUTbqdcbvn2A0RHAGcpf-EMEAUFbA08oQ2k3OZbEqXJ0S6fsqkz3giUqlETJQfhB5zE-kDwAmYVHi-Sv0zVM2WmTpHWAXaSK7JJSM8YKB6oQBQaKbMVzGHEauOSJkEKqxbuN60YkHLsrB3ajJHdeZgHkEhc3V0vw1aFWYZu2-PyuzSX21OQc53BV78N_AW1Xrj4YAO-qOXS7SvrxSfU65QNV9v1DUARs5vzAv0DcNHyyE |
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=Optimization+of+the+Baggage+Loading+and+Unloading+Equipment&rft.jtitle=Transportation+research+procedia+%28Online%29&rft.au=Volt%2C+Ji%C5%99%C3%AD&rft.au=Stoji%C4%87%2C+Slobodan&rft.au=Had%2C+Petr&rft.date=2022&rft.issn=2352-1465&rft.eissn=2352-1465&rft.volume=65&rft.spage=246&rft.epage=255&rft_id=info:doi/10.1016%2Fj.trpro.2022.11.029&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_trpro_2022_11_029 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2352-1465&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2352-1465&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2352-1465&client=summon |