Advanced International Journal for Research
E-ISSN: 3048-7641
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Impact Factor: 9.11
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 7 Issue 2
March-April 2026
Indexing Partners
CFS Flowmax Reducing Cutting Truck Idle Time Through Intelligent Planning
| Author(s) | Ms. Rajashree. N, Mr. Ramesh V |
|---|---|
| Country | India |
| Abstract | The Container Freight Stations (CFS) play a critical role in the smooth flow of import and export cargo, yet they often face significant challenges caused by uncoordinated truck movements and inefficient yard usage. Prolonged truck idle times lead to congestion, wasted fuel, and operational delays, ultimately affecting overall supply chain performance. This project proposes a systematic truck scheduling and yard allocation strategy designed to reduce waiting times and optimize vehicle flow. The approach integrates real-time arrival tracking, predictive slot assignment, and dock usage planning to ensure that incoming trucks are allocated to the right loading or unloading points at the right time. By minimizing unnecessary queuing and maximizing resource utilization, the system can improve throughput, reduce operational costs, and enhance service quality for freight operators. The solution is designed to be adaptable to varying CFS capacities and operational scales, making it a practical and scalable approach for modern logistics. hubs seeking efficiency gains without heavy reliance on automation. |
| Keywords | Logi sync, fleet ease, Translink, queue less, path opt. |
| Published In | Volume 7, Issue 1, January-February 2026 |
| Published On | 2026-02-23 |
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E-ISSN 3048-7641
CrossRef DOI is assigned to each research paper published in our journal.
AIJFR DOI prefix is
10.63363/aijfr
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