Abstract:The design of airport queuing networks is a significant research field currently for researchers. Many factors must to be considered in order to achieve the optimized strategies, including the passenger flow volume, boarding time, and boarding order of passengers. Optimizing these factors lead to the sustainable development of the queuing network, which currently faces a few difficulties. In particular, the high variance in checkpoint lines can be extremely costly to passengers as they arrive unduly early or possibly miss their scheduled flights. In this article, the Monte Carlo method is used to design the queuing network so as to achieve sustainable development. Thereafter, a network diagram is used to determine the critical working point, and design a structurally and functionally sustainable network. Finally, a case study for a sustainable queuing-network design in the airport is conducted to verify the efficiency of the proposed model. Specifically, three sustainable queuing-network design solutions are proposed, all of which not only maintain the same standards of security, but also increase checkpoint throughput and reduce passenger waiting time variance.

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Many production line imbalances have been observed in the pursuit of higher profits. A sustainable production line, also called balanced, leads to lower costs, good production environments, and green manufacturing. A decision analysis method, such as production line evaluation, is often employed to help decision makers make sustainable decisions. In this study, a sustainable decision-making model is proposed for the evaluation of engine manufacturing. To solve uncertainties in manufacturing industries while maintaining lower costs and an efficient production environment, evidential reasoning is used in order to evaluate the sustainable production line effectively. First, uncertainties in the engine production line and deficiencies in the existing methods for evaluating the sustainable production line are analyzed. Then, evidential reasoning evaluation of the sustainable engine production line model is proposed and an example is presented; to be specific, the analysis of three production line plans is conducted using evidential reasoning, and plan P 3 is found to be the best. Finally, a FlexSim simulation is used to prove the feasibility of evidential reasoning evaluation, verifying its suitability for achieving sustainable production line evaluation.

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