Journal Article

·2022 OPEN ACCESS

In-Vehicle Loading Optimization System for the Cargo Industry

Yağmur Özen , Mehmet S. Aktaş YTU , Yusuf Memiş , Didem Zülfikaroğlu

Orclever Proceedings of Research and Development

Abstract

In the intense operation in the cargo sector, by using the vehicles carrying cargo between transits more optimally, it is essential to minimize the unused idle areas inside the vehicles, to set off the vehicles in the cargo transfer centers with a correct and efficient arrangement, faster, and to increase the service quality by carrying more cargo. For this purpose, the problem of in-vehicle loading optimization is studied within the scope of this research. Again, within the scope of this research, in-vehicle loading optimization for the cargo sector is carried out; by calculating the dimensions of the packages to be placed in the vehicle, An optimization methodology is proposed, which can ensure that the cargo packages reach the maximum number and the interior volume is minimal. A prototype implementation of the proposed methodology has been developed. The developed prototype application will enable cargo loading planning and in-vehicle optimization of vehicles operated for companies in the cargo sector. The prototype application's success was tested on a sample vehicle loading dataset, and successful results were obtained.

Keywords

Idle Scope (computer science) Automotive engineering Air cargo Engineering Computer science Transport engineering Programming language

Subject Areas

Optimization and Packing Problems ·Industrial and Manufacturing Engineering ·Physical Sciences
Advanced Manufacturing and Logistics Optimization ·Industrial and Manufacturing Engineering ·Physical Sciences
Assembly Line Balancing Optimization ·Industrial and Manufacturing Engineering ·Physical Sciences

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