THE LESS THAN TRUCKLOAD HUB NETWORK DESIGN WITH SERVERLESS ARCHITECTURE

1 ELÇİ Tuğçe
Co-authors:
1 KANTAR Deniz 1 TÜRKER Ahmet Yesevi 1 GÜNEY Hasan
Institution:
1 Borusan Logistics, Data and Artificial Intelligence Services, Istanbul, Turkey, EU, tugce.elci@borusan.comdeniz.kantar@borusan.com, ahmetyesevi.turker@borusan.com, hasan.guney@borusan.com
Conference:
10th Carpathial Logistics Congress, Hotel Pod Zámkom, Bojnice, Slovakia, EU, June 15 - 17, 2022
Proceedings:
Proceedings 10th Carpathial Logistics Congress
Pages:
7-12
ISBN:
978-80-88365-08-2
ISSN:
2694-9318
Published:
31st October 2022
Proceedings of the conference have been sent to Web of Science and Scopus for evaluation and potential indexing.
Metrics:
39 views / 22 downloads
Abstract

The characteristics of land are important for network optimization problems in logistics. Due to its large area and atypical geographical type, Turkey is good for testing and implementing network optimization in the European logistics sector. The main objective of this paper is to present a network optimization model and interfaces developed on the Borusan Logistics Less Than Truckload (LTL) management system, namely ATLAS LTL. The Model offers a new LTL Hub if necessary or selects the most suitable one by looking at the current province-district matches, operational volumetric weight flows, and current transfer center locations. To minimize infrastructure expenses and be adaptive to different transportation management systems, Azure Serverless Architecture is used. Moreover, the model outputs are served in HTML format as graphics, this enables the interpretation of the model outputs easily by end-users. Besides, the system works with more than one infrastructure element communicating with each other and it uses serverless architecture that provide, the cloud service automatically provides, scales, and manages the infrastructure needed to run the code. Because of these features, the system is useful, accessible and sustainable. The importance of this study is to calculate the volumetric weight distributions in the province-district distribution centers and try to minimize the cost while making this calculation.

Keywords: LTL hub analysis, supply chain management, less than truckload hub management, serverless architecture, cloud system

© This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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