A critical analysis of the solution to the problem of modeling airline networks in previous scientific studies was conducted, which made it possible to assert that a significant number of researchers have studied this issue and solved a number of scientific problems. However, no effective models of network air carrier’s cargo flow management were identified that would allow the planning process in real time, taking into account demand fluctuations and the influence of prices on it. Within the article, an improved model of real-time operational management of air carrier’s cargo flows was characterized, which is fundamentally different from others proposed by other authors for solving this problem, since it is built on uncertainty, taking into account the influence of smart logistics under sustainable development conditions. It was proposed to include the cargo type and the tariff at which the cargo is transported to the category of cargo in modeling. The options of returning the cargo to the shipper with the payment of a penalty were also considered—for soft block cargo or refusal of transportation without payment of a penalty—in the case of free sale. The possibility of increasing and decreasing the cargo storage volume of one or another category at the airport has been considered, herewith the volume of storage can be limited. Also the cargo tonnage for a particular flight can be limited both by cargo category and as a whole in the proposed model.
Operational Management Model of Air Carrier’s Cargo Flows as a Smart Logistics Tool for Sustainable Development
Lect. Notes in Networks, Syst.
International School on Neural Networks, Initiated by IIASS and EMFCSC ; 2022 ; St.Petersburg, Russia February 08, 2022 - February 10, 2022
16.11.2022
10 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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