Abstract
In Container Terminals, managing the external truck arrivals is one of the essential managerial activities that, typically, the terminal operators conduct continuously on the short term using a Truck Appointment System (TAS). However, the trucking companies are influenced by the developed appointments and schedules which affect their operations and resources. This paper introduces a collaborative TAS to enable the trucking companies and container terminals to share making the decisions on scheduling the external truck appointments. This paper proposes a Dynamic Collaborative Truck Appointment System (DCTAS) which adopts a simulation optimization approach which integrates a discrete event simulation model with a mixed integer programming model. The DCTAS considers some realistic parameters that enhance the development of reliable appointments that fit the dynamic and stochastic circumstances of container terminals environment. The performance of the developed DCTAS is investigated by solving a numerical instance. The results show that both the container terminals and trucking companies can gain benefits from using the DCTAS. Yard efficiency performance indicators such as the maximum queue lengths, average waiting times, maximum waiting times and average truck turn times are improved using the developed appointment system.
Keywords
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Bierwirth, C., Meisel, F.: A follow-up survey of berth allocation and quay crane scheduling problems in container terminals. Eur. J. Oper. Res. 244(3), 675–689 (2010)
Karam, A., Eltawil, A.B.: A new method for allocating berths, quay cranes and internal trucks in container terminals. In: 2015 International Conference Logistics Informatics and Service Science, LISS 2015 (2015)
Karam, A., Eltawil, A.B.: Functional integration approach for the berth allocation, quay crane assignment and specific quay crane assignment problems. Comput. Ind. Eng. 102, 1–15 (2016)
Gheith, M.S., Eltawil, A.B., Harraz, N.A., Mizuno, S.: An integer programming formulation and solution for the container pre-marshalling problem. In: CIE 2014 - 44th International Conference on Computers and Industrial Engineering and IMSS 2014, pp. 2047–2056 (2014)
Gheith, M., Eltawil, A.B., Harraz, N.A.: Solving the container pre-marshalling problem using variable length genetic algorithms. Eng. Optim. 48(4), 687–705 (2016)
Zehendner, E., Feillet, D.: Benefits of a truck appointment system on the service quality of inland transport modes at a multimodal container terminal. Eur. J. Oper. Res. 235(2), 461–469 (2014)
Zhao, W., Goodchild, A.V.: The impact of truck arrival information on container terminal rehandling. Transp. Res. Part E Logist. Transp. Rev. 46(3), 327–343 (2010)
Van Asperen, E., Borgman, B., Dekker, R.: Evaluating impact of truck announcements on container stacking efficiency. Flex. Serv. Manuf. J. 25(4), 543–556 (2013)
Zhao, W., Goodchild, A.V.: Using the truck appointment system to improve yard efficiency in container terminals. Marit. Econ. Logist. 15, 101–119 (2013)
Huynh, N., Walton, C.M.: Robust scheduling of truck arrivals at marine container terminals. J. Transp. Eng. 134(8), 347–353 (2008)
Huynh, N.: Reducing truck turn times at marine terminals with appointment scheduling. Transp. Res. Rec. J. Transp. Res. Board 2100, 47–57 (2009)
Guan, C., (Rachel) Liu, R.: Container terminal gate appointment system optimization. Marit. Econ. Logist. 11(4), 378–398 (2009)
Chen, X., Zhou, X., List, G.F.: Using time-varying tolls to optimize truck arrivals at ports. Transp. Res. Part E Logist. Transp. Rev. 47(6), 965–982 (2011)
Azab, A.E., Eltawil, A.B.: A simulation based study of the effect of truck arrival patterns on truck turn time in container terminals. In: Claus, T., Herrmann, F., Manitz, M., Rose, O. (eds.) ECMS 2016. European Council for Modeling and Simulation (2016). https://doi.org/10.7148/2016-0080
Murty, K.G., et al.: Hongkong international terminals gains elastic capacity using a data-intensive decision-support system. Interfaces (Providence) 35(1), 61–75 (2005)
Morais, P., Lord, E.: Terminal appointment system study (2006)
Sharif, O., Huynh, N., Vidal, J.M.: Application of El Farol model for managing marine terminal gate congestion. Res. Transp. Econ. 32(1), 81–89 (2011)
Karafa, J.: Simulating gate strategies at intermodal marine container terminals, May 2012
Zhang, X., Zeng, Q., Chen, W.: Optimization model for truck appointment in container terminals. Proc. Soc. Behav. Sci. 96, 1938–1947 (2013)
Dekker, R., Van Der Heide, S., Van Asperen, E., Ypsilantis, P.: A chassis exchange terminal to reduce truck congestion at container terminals. Flex. Serv. Manuf. J. 25(4), 528–542 (2013)
Chen, G., Jiang, L.: Managing customer arrivals with time windows: a case of truck arrivals at a congested container terminal. Ann. Oper. Res. 244, 1–17 (2016)
Chen, G., Govindan, K., Golias, M.M.: Reducing truck emissions at container terminals in a low carbon economy: proposal of a queueing-based bi-objective model for optimizing truck arrival pattern. Transp. Res. Part E Logist. Transp. Rev. 55(X), 3–22 (2013)
Schulte, F., González, R.G., Voß, S.: Reducing port-related truck emissions: coordinated truck appointments to reduce empty truck trips. In: International Conference on Computational Logistics, pp. 495–509 (2015)
Li, N., Chen, G., Govindan, K., Jin, Z.: Disruption management for truck appointment system at a container terminal: a green initiative. Transp. Res. Part D Transp. Environ. (2015, in press)
Namboothiri, R., Erera, A.L.: Planning local container drayage operations given a port access appointment system. Transp. Res. Part E Logist. Transp. Rev. 44(2), 185–202 (2008)
Chen, G., Yang, Z.: Optimizing time windows for managing export container arrivals at Chinese container terminals. Marit. Econ. Logist. 12(1), 111–126 (2010)
Phan, M.H., Kim, K.H.: Negotiating truck arrival times among trucking companies and a container terminal. Transp. Res. Part E Logist. Transp. Rev. 75, 132–144 (2015)
Phan, M., Kim, K.H.: Collaborative truck scheduling and appointments for trucking companies and container terminals. Transp. Res. Part B Methodol. 86, 37–50 (2016)
Azab, A., Karam, A., Eltawil, A.: A dynamic and collaborative truck appointment management system in container terminals. In: Proceedings of the 6th International Conference on Operations Research and Enterprise Systems, ICORES, vol. 1, pp. 85–95 (2017)
Azab, A., Mostafa, N., Park, J.: OnTimeCargo: a smart transportation system development in logistics management by a design thinking approach. In: PACIS 2016 Proceedings, 44 (2016)
Bierwirth, C., Meisel, F.: A follow-up survey of berth allocation and quay crane scheduling problems in container terminals. Eur. J. Oper. Res. 244(3), 675–689 (2015)
Le-Griffin, H.D., Murphy, M.: Container terminal productivity: experiences at the ports of Los Angeles and Long Beach. In: NUF Conference, pp. 1–21 (2006)
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Azab, A., Karam, A., Eltawil, A. (2018). Impact of Collaborative External Truck Scheduling on Yard Efficiency in Container Terminals. In: Parlier, G., Liberatore, F., Demange, M. (eds) Operations Research and Enterprise Systems. ICORES 2017. Communications in Computer and Information Science, vol 884. Springer, Cham. https://doi.org/10.1007/978-3-319-94767-9_6
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DOI: https://doi.org/10.1007/978-3-319-94767-9_6
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