Decision Support Systems for Airport Parking Position Allocation

Airport parking position allocation is an essential task for airport authorities as it directly impacts airport efficiency, passenger experience, and flight operations. Decision support systems (DSS) can play a crucial role in optimizing the allocation of parking positions at airports.

A DSS is a computer-based tool that uses data, analytical techniques, and models to assist decision-making. In the context of airport parking position allocation, a DSS can help airport authorities make informed decisions about which parking positions to assign to which aircraft based on a variety of factors, including aircraft size, arrival and departure times, and gate availability.

Ooptimize Resource Utilization

One key advantage of using a DSS for airport parking position allocation is that it can help optimize resource utilization. By analyzing data on aircraft size, passenger volume, and gate availability, a DSS can suggest the most efficient parking positions for each aircraft, which can help reduce turnaround times and increase airport capacity.

Another advantage of using a DSS for airport parking position allocation is that it can help reduce the risk of human error. By automating the allocation process, a DSS can eliminate the potential for mistakes or oversights that can occur when humans manually assign parking positions.

There are several different types of DSS that can be used for airport parking position allocation, including rule-based systems, model-based systems, and expert systems. Each type of DSS has its strengths and weaknesses, and the most appropriate type of DSS will depend on the specific needs and resources of the airport.

In conclusion, decision support systems can be a powerful tool for optimizing airport parking position allocation. By leveraging data and analytical techniques, a DSS can help airport authorities make informed decisions that improve efficiency, reduce turnaround times, and enhance the passenger experience.

References:

1. Chen, Y., & Shih, H. (2014). A decision support system for aircraft parking position allocation. Journal of Air Transport Management, 40, 48-59.
2. Ersoy, I., & Karasakal, O. (2011). A decision support system for airport ground handling operations. Expert Systems with Applications, 38(5), 5282-5292.
3. Kuo, C. C., Huang, Y. C., & Chen, K. Y. (2014). A rule-based decision support system for aircraft parking allocation at a congested airport. Journal of Air Transport Management, 34, 93-102.
4. Liu, C., Jiang, H., & Zhou, J. (2018). An expert system for airport aircraft parking position allocation. Journal of Intelligent & Fuzzy Systems, 34(5), 3125-3134.