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Evaluation of network reliability for stochastic-flow air transportation network considering discounted fares from airlines

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  • Thi-Phuong Nguyen

    (National Chin-Yi University of Technology)

Abstract

In the tourism sector, travel agent’s managers often set meeting customers’ demand as a top priority and often get discounts from airlines and the discounted fare on each flight depends on their booking, whereas, customers have their request in terms of travel time and cost. This study addresses the network reliability, the probability that the given demand can travel from an origin to a destination within the time threshold and the travel cost after discount does not exceed the budget, to indicate travel agents’ ability on satisfying customers’ demand under specific constraints. To calculate the network reliability, this work develops an algorithm, which determines all lower boundary points via the minimal concept. An air transportation system of the travel agent is constructed as a flow-network consisting of sets of nodes (airports) and arcs (flights). On each flight, there exists a contracted airline providing the service with stochastic capacity and corresponding probability. The flow-network in this study is typical stochastic, called a stochastic-flow air transportation network. A real case for the proposed algorithm demonstration and some management suggestions of the network reliability are provided.

Suggested Citation

  • Thi-Phuong Nguyen, 2022. "Evaluation of network reliability for stochastic-flow air transportation network considering discounted fares from airlines," Annals of Operations Research, Springer, vol. 311(1), pages 335-355, April.
    • Handle: RePEc:spr:annopr:v:311:y:2022:i:1:d:10.1007_s10479-019-03509-3
    DOI: 10.1007/s10479-019-03509-3
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    References listed on IDEAS

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    Cited by:

    1. Chang, Ping-Chen, 2024. "A path-based simulation approach for multistate flow network reliability estimation without using boundary points," Reliability Engineering and System Safety, Elsevier, vol. 249(C).
    2. Cheng-Ta Yeh & Louis Cheng-Lu Yeng & Yi-Kuei Lin & Yu-Lun Chao, 2024. "A hybrid method to solve reliability-cost-oriented bi-objective machine configuration problem for a flow shop system," Annals of Operations Research, Springer, vol. 340(1), pages 643-669, September.
    3. Huang, Ding-Hsiang, 2024. "An algorithm to generate all d-lower boundary points for a stochastic flow network using dynamic flow constraints," Reliability Engineering and System Safety, Elsevier, vol. 249(C).

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