Capacity reservation for time-sensitive service providers: An application in seaport management

Li, Hong; Xu, Xiaowei; Zhang, Shenghao

doi:10.1016/j.ejor.2015.03.027

Cited by 4 publications

(1 citation statement)

References 25 publications

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“…In theoretical research, the impact of reservation services has been considered in many queuing scenarios [61,62]. Long queues for charging have also been one of the important factors hindering the development of the electric car industry.…”

Section: Benefit Of the Reservation Servicementioning

confidence: 99%

Electric Vehicle Charging Station Location towards Sustainable Cities

Luo

Qiu

2020

IJERPH

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Electric vehicles, a significant part of sustainable transport, are attracting increasing attention with the development of sustainable cities. However, as supporting facilities of electric vehicles, public charging stations are of great significance to the promotion of electric vehicles. This paper proposes an electric vehicle charging station location model to improve the resource utilization of electric vehicles for sustainable cities. In this model, reservation services, idle rates during off-peak periods, and waiting time during peak periods are considered. Finally, a case from Chengdu, China, is used to examine the effectiveness of the proposed model. Then, further analyses of reservation ratios and penetration rates are conducted. The results show that the introduction of a reservation service has a positive effect on reducing the total cost, which would provide further support for sustainable cities and have an even greater impact on healthier lives.

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Section: Benefit Of the Reservation Servicementioning

confidence: 99%

Electric Vehicle Charging Station Location towards Sustainable Cities

Luo

Qiu

2020

IJERPH

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A Stochastic Queueing Model for Capacity Allocation in the Hierarchical Healthcare Delivery System

Wen

Jiang

Song

2019

Asia Pac. J. Oper. Res.

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We use the capacity allocation as a demand management tool to optimize the patient flow distribution on a hierarchical healthcare delivery system, which is a mixture of patient choice and gatekeeping. Capacity allocation for such service system can be challenging because of the inherent stochastic referral process and patients’ heterogeneous delay sensitivities. In this research, a stochastic queueing-based model is proposed to find the optimal allocation of the limited service capacity of the second level of experts. Considering the impact of the deficiency of the skill level and the amount of gatekeepers, the stochastic referral process is modeled with a tandem queue. By solving a fixed-point problem, we show that there is an unique optimal allocation and corresponding equilibrium demand. We carry out numerical studies and find that providing two alternatives for patients can be better than gatekeeper system, when the capacity of the gatekeeper is moderate compared to patients’ potential demand. Results also indicate that the optimal allocation is robust in terms of the referral rate and the mistreatment rate when two rates are less than corresponding thresholds.

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Rational Queueing

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Capacity reservation for time-sensitive service providers: An application in seaport management

Cited by 4 publications

References 25 publications

Electric Vehicle Charging Station Location towards Sustainable Cities

Electric Vehicle Charging Station Location towards Sustainable Cities

A Stochastic Queueing Model for Capacity Allocation in the Hierarchical Healthcare Delivery System

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