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4314. Optimizing Air Cargo Terminal Operations: A Model for Alleviating Unloading Bay Bottlenecks through Truck Scheduling
Invited abstract in session MD-55: Airline Applications II, stream Transportation.
Monday, 14:30-16:00Room: S02 (building: 101)
Authors (first author is the speaker)
| 1. | Arnab Chakraborty
|
| Vinod Gupta School Of Management, IIT Kharagpur | |
| 2. | M Vimala Rani
|
| VGSoM, Indian Institute of Technology Kharagpur |
Abstract
The efficiency of air cargo terminals is crucial for the success of the supply chain. Freight forwarders deliver cargo to cargo terminal operators (CTOs) who manage handling, customs, and loading onto airliners. Delays in truck unloading can cause bottlenecks, impacting aircraft departures. Research focuses on manpower, truck scheduling, cargo routing, and aircraft loading. Existing studies address truck scheduling challenges, adapting insights from container terminals. This study proposes a multi-server queuing system to optimize truck arrivals and unloading bay usage, aiming to minimize costs. Methodology involves modeling truck arrivals and service times, with results expected to reduce costs and alleviate congestion at unloading bays. Limitations include potential applicability only to specific airports.
Keywords
- Airline Applications
- Metaheuristics
- Algorithms
Status: accepted
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