Freight Forwarding Management System with Automated Manpower Resource Allocation Using Best Fit Algorithm for Lebria Transport
Kylourd A. Ablao
a
,
Cydric Nico L. Arena
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,
Neil Michael C. Dao
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,
Charles A. Uy
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,
Jay-ar P. Lalata
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,
Roman M. De Angel
a
a Information Technology Department, FEU Institute of Technology, Manila, Philippines
2024 IEEE 16th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2025), pp. 1-6
Abstract: Freight forwarding plays a crucial role in international trade, facilitating the movement of goods through transportation, customs clearance, and documentation management. However, manual processing of transportation transactions in freight forwarding poses various challenges, including inaccurate documentation, inefficient routing and carrier selection, and delayed shipment booking, which can result in disruptions, higher costs, and customer dissatisfaction. To address these issues, the development of a Freight Forwarding Management System is essential by digitizing and automating transactions. Freight forwarding companies can improve accuracy, efficiency, and visibility in their operations. The integration of web and mobile applications enables streamlined order handling, accurate quotations, and an organized inventory. The system's performance was evaluated using the ISO 9126 model, and it received an “Excellent” rating, demonstrating its functionality, reliability, usability, portability, efficiency, and maintainability. Moreover, the inclusion of a best-fit algorithm in the scheduler system allows for both automatic and manual selection of drivers and vehicles by intelligently matching the most suitable drivers and vehicles to specific shipments, the scheduler system optimizes resource allocation, ensuring efficient utilization of assets and improved delivery performance. Through technological innovation, freight forwarding can overcome manual processing challenges and enhance operational performance to meet customer needs effectively.