Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7427563 | Transportation Research Part E: Logistics and Transportation Review | 2018 | 16 Pages |
Abstract
One of the major functions of airports is to handle the baggage of customers from check-in counters to aircrafts. To have an efficient baggage handling system (BHS), the assignment of flights on unloading areas must incorporate uncertainties. We develop a robust optimization (RO) model to find a robust plan with constant performance stability in terms of future uncertainty realization. We construct a BHS simulation model to compare different assignment models. The results indicated that the total number of manually handled baggage using the robust plan is 58% lower than that using the current assignment.
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Authors
Edward Huang, Irene Liu, James T. Lin,