Since increasing oil prices and vehicle costs increase transportation costs in order delivery systems, the optimal vehicle loading and routing is very crucial for the companies in competitive conditions. Although there are many studies related to optimal vehicle loading and routing by using linear programming and heuristic algorithms, there is not enough practical web service-based application in the literature. In this study, we propose a hybrid model to solve the problem of two-dimensional vehicle pallet loading with routing for a real-world data by combining Knapsack Problem solver algorithms such as MaxRects, Skyline and Guillotine with Dijkstra's algorithm for loading and routing respectively as a web service-based application. © 2022 IEEE.
Eser Adı (dc.title) | Web Service-Based Two-Dimensional Vehicle Pallet Loading with Routing for a Real-World Problem |
Yazar (dc.contributor.author) | Metin Zontul |
Yayın Yılı (dc.date.issued) | 2022 |
Yayıncı (dc.publisher) | Conference Proceedings |
Tür (dc.type) | Bildiri |
Açık Erişim Tarihi (dc.date.available) | 2022-01-01 |
Özet (dc.description.abstract) | Since increasing oil prices and vehicle costs increase transportation costs in order delivery systems, the optimal vehicle loading and routing is very crucial for the companies in competitive conditions. Although there are many studies related to optimal vehicle loading and routing by using linear programming and heuristic algorithms, there is not enough practical web service-based application in the literature. In this study, we propose a hybrid model to solve the problem of two-dimensional vehicle pallet loading with routing for a real-world data by combining Knapsack Problem solver algorithms such as MaxRects, Skyline and Guillotine with Dijkstra's algorithm for loading and routing respectively as a web service-based application. © 2022 IEEE. |
DOI (dc.identifier.doi) | 10.1109/ICTACSE50438.2022.10009852 |
ISBN (dc.identifier.isbn) | 979-8-3503-3162-2 |
Orcid (dc.identifier.orcid) | 0000-0002-7557-2981 |
Dil (dc.language.iso) | En |
ISSN (dc.identifier.issn) | 979-835033162-2 |
Konu Başlıkları (dc.subject) | knapsack problem |
Konu Başlıkları (dc.subject) | optimal vehicle loading |
Konu Başlıkları (dc.subject) | optimal vehicle routing |
Konu Başlıkları (dc.subject) | Python Flask Framework |
Konu Başlıkları (dc.subject) | web service-based application |
Dergi (dc.relation.journal) | 2022 Internatıonal Conference On Theoretıcal And Applıed Computer Scıence And Engıneerıng (Ictasce) |
Esere Katkı Sağlayan (dc.contributor.other) | Zontul, Metin |
Esere Katkı Sağlayan (dc.contributor.other) | Nacakli, Ilker |
Esere Katkı Sağlayan (dc.contributor.other) | Guzel, Sadi |
Department (dc.contributor.department) | Bilgisayar Mühendisliği |
wosauthorid (dc.contributor.wosauthorid) | EIV-4571-2022 |
Wos No (dc.identifier.wos) | WOS:000932842500027 |
Bitiş Sayfası (dc.identifier.endpage) | 156 |
Başlangıç Sayfası (dc.identifier.startpage) | 153 |
Veritabanları (dc.source.platform) | Wos |
Veritabanları (dc.source.platform) | Scopus |