Land side truck traffic modeling at container terminals by a stationary two-class queuing strategy with switching
1
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
Purpose – This paper evaluates an alternative queuing concept for marine container terminals that utilize a truck appointment system (TAS). Instead of having all lanes providing service to trucks with appointments, this study considers the case where walk-in lanes are provided to serve those trucks with no appointments or trucks with appointments but arrived late due to traffic congestion. Design/methodology/approach – To enable the analysis of the proposed alternative queuing strategy, the queuing system is shown mathematically to be stationary. Due to the complexity of the model, a discrete event simulation (DES) model is used to obtain the average waiting number of trucks per lane for both types of service lanes: TAS-lanes and walk-in lanes. Findings – The numerical experiment results indicated that the considered queuing strategy is most beneficial when the utilization of the TAS lanes is expected to be much higher than that of the walk-in lanes. Originality/value – The novelty of this study is that it examines the scenario where trucks with appointments switch to the walk-in lanes upon arrival if the TAS-lane server is occupied and the walk-in lane server is not occupied. This queuing strategy/policy could reduce the average waiting time of trucks at marine container terminals. Approximation equations are provided to assist practitioners calculate the average truck queue length and the average truck queuing time for this type of queuing system.
Abstract
Purpose – This paper evaluates an alternative queuing concept for marine container terminals that utilize a truck appointment system (TAS). Instead of having all lanes providing service to trucks with appointments, this study considers the case where walk-in lanes are provided to serve those trucks with no appointments or trucks with appointments but arrived late due to traffic congestion. Design/methodology/approach – To enable the analysis of the proposed alternative queuing strategy, the queuing system is shown mathematically to be stationary. Due to the complexity of the model, a discrete event simulation (DES) model is used to obtain the average waiting number of trucks per lane for both types of service lanes: TAS-lanes and walk-in lanes. Findings – The numerical experiment results indicated that the considered queuing strategy is most beneficial when the utilization of the TAS lanes is expected to be much higher than that of the walk-in lanes. Originality/value – The novelty of this study is that it examines the scenario where trucks with appointments switch to the walk-in lanes upon arrival if the TAS-lane server is occupied and the walk-in lane server is not occupied. This queuing strategy/policy could reduce the average waiting time of trucks at marine container terminals. Approximation equations are provided to assist practitioners calculate the average truck queue length and the average truck queuing time for this type of queuing system.
참고문헌 (29)
- Almehdawe, E., "Analysis and optimization of an ambulance offload delay and allocation problem", Omega, 65, pp.148~158 (2016)
- Badrinath, S., "Impact of off-block time uncertainty on the control of airport surface operations", Transportation Science, 54, pp.920~943 (2020)
- Brown, A.J, "A queuing model for systems with rework and process downtime", 2013 IEEE International Conference on Automation Science and Engineering (CASE), pp.789~794 (2013), IEEE
- Caro, J. J., "Advantages and disadvantages of discrete-event simulation for health economic analyses", Expert Review of Pharmacoeconomics and Outcomes Research, 16(3), pp.327~329 (2016)
- Chen, G., "Terminal appointment system design by non-stationary M(t)", Ek, International Journal of Production Economics, pp.2013, 146(2)[DOI]
- Deng, Y., "Priority queueing model with changeover times and switching threshold", Journal of Applied Probability (2001)
- Dester, P. S., "Stationary analysis of the shortest queue problem", Queueing Systems, 87(3), pp.211~243 (2017)
- Guan, C., "Container terminal gate appointment system optimization", Maritime Economics and Logistics, 11(4), pp.378~398 (2009)
- He, Q. M., "Priority queue with customer upgrades", Naval Research Logistics(NRL), 59(5), pp.362~375 (2012)
- Huynh, N., "Reducing truck turn times at marine terminals with appointment scheduling", Transportation Research Record, 2100(1), pp.47~57 (2009)
- Huynh, N., "Handbook of Terminal Planning", pp.323~344 (2011), Springer
- Huynh, N., "Truck delays at seaports: assessment using terminal webcams", Transportation Research Record, 2222(1) (2011)
- Huynh, N., "Truck appointment systems : where we are and where to go from here", Transportation Research Record, 2548, pp.1~9 (2016)
- Jackson, A. S., "Generalized equations for predicting body density of men", British Journal of Nutrition, 40(3), pp.497~504 (1978)
- Law, A. M., "Simulation Modeling and Analysis, Vol. 3" (2007), Mcgraw-Hill
- Legato, P., "Berth planning and resources optimisation at a container terminal via discrete event simulation", European Journal of Operational Research, 133, pp.537~547 (2001)
- Li, N., "Disruption management for truck appointment system at a container terminal : a Green initiative", Transportation Research Part D : Transport and Environment, 61, pp.261~273 (2018)
- Masselink, I. H., "Preparation of chemotherapy drugs : planning policy for reduced waiting times", Omega, 40, pp.181~187 (2012)
- Mestrovi"c, R., "A relationship between different costs of container yard modelling in port using queuing approach", FME Transactions, 46(3), pp.367~373 (2018)
- Mifflin, M. D., "A new predictive equation for resting energy expenditure in healthy individuals", The American Journal of Clinical Nutrition, 51(2), pp.241~247 (1990)
- Resnick, S. I., "Adventures in Stochastic Processes" (1992), Springer Science & Business Media
- Roy, D., "Stochastic modeling of unloading and loading operations at a container terminal using automated lifting vehicles", European Journal of Operational Research, 266, pp.895~910 (2018)
- Roy, D., "A non-linear traffic flow-based queuing model to estimate container terminal throughput with agvs", International Journal of Production Research, 54, pp.472~493 (2016)
- Sfeir, G., "Simulation-based evacuation planning using state-of-theart sensitivity analysis techniques", Simulation Modelling Practice and Theory, 89, pp.160~174 (2018)
- Sigman, K., "Exact simulation of the stationary distribution of the FIFO M", G, Queueing Systems, pp.2012, 70(1)[DOI]
- Torkjazi, M., "Truck appointment systems considering impact to drayage truck tours", Transportation Research Part E : Logistics and Transportation Review, 116, pp.208~228 (2018)
- Xie, J., "Stability of a priority queueing system with customer transfers", Operations Research Letters, 36, pp.705~709 (2008)
- Zhang, X., "Optimization model for truck appointment in container terminals", Procedia-Social and Behavioral Sciences, 96, pp.1938~1947 (2013)
- Zhao, W., "Using the truck appointment system to improve yard efficiency in container terminals", Maritime Economics and Logistics, 15, pp.101~119 (2013)
