How to cite this paper
Barata, F., Ricardianto, P., Mulyana, A., Perwitasari, E., Arubusman, D., Purwoko, H & Endri, E. (2022). Berthing time in the port of Tanjung Priok, Jakarta, Indonesia.Uncertain Supply Chain Management, 10(4), 1387-1396.
Refrences
Abou Kasm, O., & Diabat, A. (2021). Next-generation quay crane scheduling. Transportation Research Part C: Emerging Technologies. Transportation Research Part C: Emerging Technologies, 114, 694-715. https://doi.org/10.1016/j.trc.2020.02.015
Agustin, K., Retnaningtyas, A., Chairrudin, I. I., & Baskoro, D. A. (2020). The Factor Analysis of The Difference in Productivity of Unloading Process Between West Berth and North Berth at JICT in 2019. Advances in Transportation and Logistics Research, 3, 555-561.
Angeloudis, P., & Bell, M. G. H. (2011). A review of container terminal simulation models. The Flagship Journal of International Shipping and Port Research V, 38(5), 523–540.
Angkoso, G., & Setyawati, A. (2019). Loading/Unloading Operational Employees Competence in Achieving Berthing Time. Jurnal Manajemen Transportasi & Logistik, 6(2), 177-184.
Azab, A. E., & Eltawil, A. B. (2016). A Simulation-Based Study of The Effect of Truck Arrival Patterns on Truck Turn Time in Container Terminals. Proceedings 30th European Conference on Modelling and Simulation, 1–7.
Azka, A., Aandarwati, & Sirait, D. P. (2017). Container Terminal Operations Transformation. Advances in Engineering Research (AER), Volume 147 Conference on Global Research on Sustainable Transport (GROST 2017), 642–649.
Cahyadi, T. H., & Sugiyono, S. (2021). Analysis of Loading and Unloading Productivity on Berth Utility at The Multipurpose Terminal Teluk Bayur Port. Dinasti International Journal of Economics, Finance & Accounting, 2(3), 277-287.
Carlo, H. J., Vis, I. F., & Roodbergen, K. J. (2014). Storage yard operations in container terminals: Literature overview, trends, and research directions. European Journal of Operations Research, 235(2), 412–430. https://doi.org/10.1016/j.ejor.2013.10.054
Chargui, K., Zouadi, T., El Fallahi, A., Reghioui, M., & Aouam, T. (2021). Berth and quay crane allocation and scheduling with worker performance variability and yard truck deployment in container terminals. Transportation Research Part E: Logistics and Transportation Review, 154, 102449.
Darunanto, D., Wahyuni, R. E., & Saidah, D. (2020). Productivity of Loading Equipment (Crane) to Berthing Time. Jurnal Manajemen Bisnis Transportasi Dan Logistik, 6(2), 153-162.
Duan, J., Liu, Y., Zhang, Q., & Qin, J. (2021). Combined Configuration of Container Terminal Berth and Quay Crane considering Carbon Cost. Mathematical Problems in Engineering, 2021, 1–16.
Fotuhi, F., Huynh, N., Vidal, J. M., & Xie, Y. (2013). Modeling yard crane operators as reinforcement learning agents. Research in Transportation Economics, 42(1), 3-12.
Gharehgozli, A., Roy, D., & de Koster, M. B. M. (2014). Sea Container Terminals: New Technologies, OR Models, and Emerging Research Areas. ERIM Report Series Reference No. ERS-2014-009-LIS.
Hanik, K. (2021). Improved Time Efficiency of Ships Berthing in the New Normal Era at the Port of Tanjung Emas, Semarang. Majalah Ilmiah Bahari Jogja (MIBJ), 19(1), 52–58. https://doi.org/10.33489/mibj.v19i1.253
Hervás-Peralta, M., Poveda-Reyes, S., Molero, G. D., Santarremigia, F. E., & Pastor-Ferrando, J. P. (2019). Improving the performance of dry and maritime ports by increasing knowledge about the most relevant functionalities of the Terminal Operating System (TOS). Sustainability, 11(6), 1648. https://doi.org/10.3390/su11061648
Hu, Q. M., Hu, Z. H., & Du, Y. (2014). Berth and quay-crane allocation problem considering fuel consumption and emissions from vessels. Computers & Industrial Engineering, 70, 1-10. https://doi.org/10.1016/j.cie.2014.01.003
Huynh, N. (2009). Reducing truck turn times at marine terminals with appointment scheduling. Transportation Research Record, 2100(1), 47-57. https://doi.org/10.3141/2100-06
Huynh, N., & Hutson, N. (2008). Mining the sources of delay for dray trucks at container terminals. Transportation Research Record., 2066(1), 41-49.
Huynh, N., & Vidal, J. M. (2012). A novel methodology for modeling yard cranes at seaport terminals to support planning and real-time decision-making. International Journal of Six Sigma and Competitive Advantage, 7(1), 62-91.
Huynh, N., & Vidal, J. M. (2010). An agent-based approach to modeling yard cranes at seaport container terminals. Proceedings of the 2010 Spring Simulation Multiconference, (pp. 1-8).
Huynh, N., & Walton, C. M. (2008). Robust scheduling of truck arrivals at marine container terminals. Journal of Transportation Engineering, 134(8), 347-353.
Huynh, N., & Walton, C. M. (2011). Improving the efficiency of drayage operations at seaport container terminals through the use of an appointment system. In Handbook of terminal planning (pp. 323–344). New York: Springer.
Im, H., Yu, J., & Lee, C. (2020). Truck appointment system for cooperation between the transport companies and the terminal operator at container terminals. Applied Sciences, 11(1), 168.
Imai, A., Nishimura, E., & Papadimitriou, S. (2008). Berthing ships at a multi-user container terminal with a limited quay capacity. Transportation Research Part E: Logistics and Transportation Review, 44(1), 136-151. https://doi.org/10.1016/j.tre.2006.05.002
Ivana, A. L., & Moetriono, H. (2021). Optimizing the Time of Ships to Improve Service Performance at the Jamrud Terminal, Tanjung Perak Port, Surabaya. MoDuluS: Civil Science World Communication Media, 3(1), 19-24.
Karam, A., Eltawil, A., & Harraz, N. (2014). An improved solution for integrated berth allocation and quay crane assignment problems in container terminals. CIE44 & IMSS’14 Proceedings, 14-16.
Κατσέας, Α. Γ. (2020). The berth allocation problem in the Container Terminal of Thessaloniki (No. GRI-2020-28326). The Aristotle University of Thessaloniki.
Kim, A., Park, H. J., Park, J. H., & Cho, S. W. (2021). Rescheduling Strategy for Berth Planning in Container Terminals: An Empirical Study from Korea. Journal of Marine Science and Engineering, 9(5), 527.
Lange, A. K., Schwientek, A. K., & Jahn, C. (2017). Reducing truck congestion at ports-classification and trends. In Digitalization in Maritime and Sustainable Logistics: City Logistics, Port Logistics and Sustainable Supply Chain Management in the Digital Age. Proceedings of the Hamburg International Conference of Logistics (HICL), Vol. 24 (pp. 37-58). Berlin: epubli GmbH.
Lu, Z. Q., & Xi, L. F. (2010). A proactive approach for the simultaneous berth and quay crane scheduling problem with stochastic arrival and handling time. European Journal of Operational Research, 207(3), 1327-1340. https://doi.org/10.1016/j.ejor.2010.07.018
Mao, A., Yu, T., Ding, Z., Fang, S., Guo, J., & Sheng, Q. (2022). Optimal scheduling for seaport integrated energy system considering flexible berth allocation. Applied Energy, 308, 118386.
Min, H., Ahn, S. B., Lee, H. S., & Park, H. (2017). An integrated terminal operating system for enhancing the efficiency of seaport terminal operators. Maritime Economics & Logistics, 19(3), 428-450.
Monteiro, J. L., Santoso, P. I., & Prabowo, R. (2021). Maritime industry-ports and supporting activities: a literature review. IOP Conference Series: Materials Science and Engineering, (Vol. 1010, No. 1, 012019).
Mwisila, L. P. (2018). Empirical Analysis on Productivity of Container Terminal in Tanzanian: A Case of Dar es Salaam Port General Cargo Container Terminal. (Doctoral dissertation, The Open University of Tanzania).
Najoan, D. J., Putri, D. A. R., & Nurhayati, S. (2017). Productivity of loading and unloading and docking time of Tanjung Emas Port. Jurnal Manajemen Bisnis Transportasi Dan Logistik, 4(1), 57-62.
Pahala, Y., Widodo, S., Kadarwati., Azhari, M., Muliyati., Lestari, N.I., Madjid, S.A., Sidjabat, S., Limakrisna, N., & Endri, E. (2021). The effects of service operation engineering and green marketing on consumer buying interest. Uncertain Supply Chain Management, 9(3), 603–608. https://doi: 10.5267/j.uscm.2021.5.011
Pang, K. W., Xu, Z., & Li, C. L. (2011). Ship routing problem with berthing time clash avoidance constraints. International Journal of Production Economics, 131(1), 752-762. https://doi.org/10.1016/j.ijpe.2011.03.013
Perdana, F. A., Pujiraharjo, A., & Wijatmiko, I. (2018). Characteristics of ship queues and factors that affect waiting time for ships at Tanjung Perak Port. Rekayasa Sipil, 11(3), 166-177.
Phan, M. H., & Kim, K. H. (2015). Negotiating track arrival times among trucking companies and a container terminal. Transportation Research Part E: Logistics and Transportation Review, 75, 132-144. https://doi.org/10.1016/j.tre.2015.01.004
Qi, Y., Zhao, Q., Azimi, M., & Jinna, H. (2019). Innovative Countermeasures for Reducing the Truck Wait Time at Marine Terminals (No. 2018 Project 14). The University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education.
Ricardianto, P., Putra, A.P., Majid, S.A., Fachrial, P., Samosir, J., Adi, E.M., Wardana, A., Rafi,S., Ozali, I., & Endri, E. (2022a). Evaluation of the Two Runway Queuing System: Evidence from Soekarno-Hatta International Airport in Indonesia. WSEAS Transactions on Systems and Control, 17, 142-152. DOI: 10.37394/23203.2022.17.16
Ricardianto, P., Wibowo, H., Agusinta, L., Abdurachman, E., Suryobuwono, A., Fachrial, P., Setiawan, A., Rafi, S., Maemunah, S & Endri, E. (2022b). Determinants of airport train operational performance. International Journal of Data and Network Science, 6(1), 91-98. doi: 10.5267/j.ijdns.2021.9.019.
Shahpanah, A., Poursafary, S. Shariatmadari, S. Gholamkhasi, A., & Zahraee, S. M. (2014). Optimization waiting time at berthing area of port container terminal with hybrid genetic algorithm (GA) and artificial neural network (ANN). Advanced Materials Research, 902, 431-436). https://doi.org/10.4028/www.scientific.net/AMR.902.431
Sharif, O., Huynh, N., & Vidal, J. M. (2011). Application of El Farol model for managing marine terminal gate congestion. Research in Transportation, 32(1), 81-89. https://doi.org/10.1016/j.retrec.2011.06.004
Stojaković, M., & Twrdy, E. (2019). The influence of yard trucks on berth operations in smaller container terminals. The Influence of Yard Trucks on Berth Operations in Smaller Container Terminals., 33(2), 171-175. https://doi.org/10.31217/p.33.2.6
Tan, C., He, J., & Wang, Y. (2020). Berth allocation and quay crane assignment under uncertainties. Transdisciplinary Engineering for Complex Socio-Technical Systems–Real-Life Applications: Proceedings of the 27th ISTE International Conference on Transdisciplinary Engineering, July 1–July 10, 2020. Vol. 12.
Widiyanto, P., Jaya Sakti, R.F., Setiawan, E.B., Manfaluthy, M., Suryaningsih, L., Ricardianto, P., Kamar, K., & Endri, E. (2021). The Relationship between Service Quality, Timeliness of Arrival, Departure Flip Ship Logistics and People and Customer Satisfaction: A Case in Indonesia. Academy of Entrepreneurship Journal, 27(6), 1-10.
Zhang, X., Zeng, Q., & Chen, W. (2013). An optimization model for truck appointments in container terminals. Procedia-Social and Behavioral Sciences, 96, 1938-1947. https://doi.org/10.1016/j.sbspro.2013.08.219
Zhou, P. F., & Kang, H. G. (2008). Study on berth and quay-crane allocation under stochastic environments in a container terminal. Systems Engineering-Theory & Practice, 28(1), 161-169. https://doi.org/10.1016/S1874-8651(09)60001-6
Agustin, K., Retnaningtyas, A., Chairrudin, I. I., & Baskoro, D. A. (2020). The Factor Analysis of The Difference in Productivity of Unloading Process Between West Berth and North Berth at JICT in 2019. Advances in Transportation and Logistics Research, 3, 555-561.
Angeloudis, P., & Bell, M. G. H. (2011). A review of container terminal simulation models. The Flagship Journal of International Shipping and Port Research V, 38(5), 523–540.
Angkoso, G., & Setyawati, A. (2019). Loading/Unloading Operational Employees Competence in Achieving Berthing Time. Jurnal Manajemen Transportasi & Logistik, 6(2), 177-184.
Azab, A. E., & Eltawil, A. B. (2016). A Simulation-Based Study of The Effect of Truck Arrival Patterns on Truck Turn Time in Container Terminals. Proceedings 30th European Conference on Modelling and Simulation, 1–7.
Azka, A., Aandarwati, & Sirait, D. P. (2017). Container Terminal Operations Transformation. Advances in Engineering Research (AER), Volume 147 Conference on Global Research on Sustainable Transport (GROST 2017), 642–649.
Cahyadi, T. H., & Sugiyono, S. (2021). Analysis of Loading and Unloading Productivity on Berth Utility at The Multipurpose Terminal Teluk Bayur Port. Dinasti International Journal of Economics, Finance & Accounting, 2(3), 277-287.
Carlo, H. J., Vis, I. F., & Roodbergen, K. J. (2014). Storage yard operations in container terminals: Literature overview, trends, and research directions. European Journal of Operations Research, 235(2), 412–430. https://doi.org/10.1016/j.ejor.2013.10.054
Chargui, K., Zouadi, T., El Fallahi, A., Reghioui, M., & Aouam, T. (2021). Berth and quay crane allocation and scheduling with worker performance variability and yard truck deployment in container terminals. Transportation Research Part E: Logistics and Transportation Review, 154, 102449.
Darunanto, D., Wahyuni, R. E., & Saidah, D. (2020). Productivity of Loading Equipment (Crane) to Berthing Time. Jurnal Manajemen Bisnis Transportasi Dan Logistik, 6(2), 153-162.
Duan, J., Liu, Y., Zhang, Q., & Qin, J. (2021). Combined Configuration of Container Terminal Berth and Quay Crane considering Carbon Cost. Mathematical Problems in Engineering, 2021, 1–16.
Fotuhi, F., Huynh, N., Vidal, J. M., & Xie, Y. (2013). Modeling yard crane operators as reinforcement learning agents. Research in Transportation Economics, 42(1), 3-12.
Gharehgozli, A., Roy, D., & de Koster, M. B. M. (2014). Sea Container Terminals: New Technologies, OR Models, and Emerging Research Areas. ERIM Report Series Reference No. ERS-2014-009-LIS.
Hanik, K. (2021). Improved Time Efficiency of Ships Berthing in the New Normal Era at the Port of Tanjung Emas, Semarang. Majalah Ilmiah Bahari Jogja (MIBJ), 19(1), 52–58. https://doi.org/10.33489/mibj.v19i1.253
Hervás-Peralta, M., Poveda-Reyes, S., Molero, G. D., Santarremigia, F. E., & Pastor-Ferrando, J. P. (2019). Improving the performance of dry and maritime ports by increasing knowledge about the most relevant functionalities of the Terminal Operating System (TOS). Sustainability, 11(6), 1648. https://doi.org/10.3390/su11061648
Hu, Q. M., Hu, Z. H., & Du, Y. (2014). Berth and quay-crane allocation problem considering fuel consumption and emissions from vessels. Computers & Industrial Engineering, 70, 1-10. https://doi.org/10.1016/j.cie.2014.01.003
Huynh, N. (2009). Reducing truck turn times at marine terminals with appointment scheduling. Transportation Research Record, 2100(1), 47-57. https://doi.org/10.3141/2100-06
Huynh, N., & Hutson, N. (2008). Mining the sources of delay for dray trucks at container terminals. Transportation Research Record., 2066(1), 41-49.
Huynh, N., & Vidal, J. M. (2012). A novel methodology for modeling yard cranes at seaport terminals to support planning and real-time decision-making. International Journal of Six Sigma and Competitive Advantage, 7(1), 62-91.
Huynh, N., & Vidal, J. M. (2010). An agent-based approach to modeling yard cranes at seaport container terminals. Proceedings of the 2010 Spring Simulation Multiconference, (pp. 1-8).
Huynh, N., & Walton, C. M. (2008). Robust scheduling of truck arrivals at marine container terminals. Journal of Transportation Engineering, 134(8), 347-353.
Huynh, N., & Walton, C. M. (2011). Improving the efficiency of drayage operations at seaport container terminals through the use of an appointment system. In Handbook of terminal planning (pp. 323–344). New York: Springer.
Im, H., Yu, J., & Lee, C. (2020). Truck appointment system for cooperation between the transport companies and the terminal operator at container terminals. Applied Sciences, 11(1), 168.
Imai, A., Nishimura, E., & Papadimitriou, S. (2008). Berthing ships at a multi-user container terminal with a limited quay capacity. Transportation Research Part E: Logistics and Transportation Review, 44(1), 136-151. https://doi.org/10.1016/j.tre.2006.05.002
Ivana, A. L., & Moetriono, H. (2021). Optimizing the Time of Ships to Improve Service Performance at the Jamrud Terminal, Tanjung Perak Port, Surabaya. MoDuluS: Civil Science World Communication Media, 3(1), 19-24.
Karam, A., Eltawil, A., & Harraz, N. (2014). An improved solution for integrated berth allocation and quay crane assignment problems in container terminals. CIE44 & IMSS’14 Proceedings, 14-16.
Κατσέας, Α. Γ. (2020). The berth allocation problem in the Container Terminal of Thessaloniki (No. GRI-2020-28326). The Aristotle University of Thessaloniki.
Kim, A., Park, H. J., Park, J. H., & Cho, S. W. (2021). Rescheduling Strategy for Berth Planning in Container Terminals: An Empirical Study from Korea. Journal of Marine Science and Engineering, 9(5), 527.
Lange, A. K., Schwientek, A. K., & Jahn, C. (2017). Reducing truck congestion at ports-classification and trends. In Digitalization in Maritime and Sustainable Logistics: City Logistics, Port Logistics and Sustainable Supply Chain Management in the Digital Age. Proceedings of the Hamburg International Conference of Logistics (HICL), Vol. 24 (pp. 37-58). Berlin: epubli GmbH.
Lu, Z. Q., & Xi, L. F. (2010). A proactive approach for the simultaneous berth and quay crane scheduling problem with stochastic arrival and handling time. European Journal of Operational Research, 207(3), 1327-1340. https://doi.org/10.1016/j.ejor.2010.07.018
Mao, A., Yu, T., Ding, Z., Fang, S., Guo, J., & Sheng, Q. (2022). Optimal scheduling for seaport integrated energy system considering flexible berth allocation. Applied Energy, 308, 118386.
Min, H., Ahn, S. B., Lee, H. S., & Park, H. (2017). An integrated terminal operating system for enhancing the efficiency of seaport terminal operators. Maritime Economics & Logistics, 19(3), 428-450.
Monteiro, J. L., Santoso, P. I., & Prabowo, R. (2021). Maritime industry-ports and supporting activities: a literature review. IOP Conference Series: Materials Science and Engineering, (Vol. 1010, No. 1, 012019).
Mwisila, L. P. (2018). Empirical Analysis on Productivity of Container Terminal in Tanzanian: A Case of Dar es Salaam Port General Cargo Container Terminal. (Doctoral dissertation, The Open University of Tanzania).
Najoan, D. J., Putri, D. A. R., & Nurhayati, S. (2017). Productivity of loading and unloading and docking time of Tanjung Emas Port. Jurnal Manajemen Bisnis Transportasi Dan Logistik, 4(1), 57-62.
Pahala, Y., Widodo, S., Kadarwati., Azhari, M., Muliyati., Lestari, N.I., Madjid, S.A., Sidjabat, S., Limakrisna, N., & Endri, E. (2021). The effects of service operation engineering and green marketing on consumer buying interest. Uncertain Supply Chain Management, 9(3), 603–608. https://doi: 10.5267/j.uscm.2021.5.011
Pang, K. W., Xu, Z., & Li, C. L. (2011). Ship routing problem with berthing time clash avoidance constraints. International Journal of Production Economics, 131(1), 752-762. https://doi.org/10.1016/j.ijpe.2011.03.013
Perdana, F. A., Pujiraharjo, A., & Wijatmiko, I. (2018). Characteristics of ship queues and factors that affect waiting time for ships at Tanjung Perak Port. Rekayasa Sipil, 11(3), 166-177.
Phan, M. H., & Kim, K. H. (2015). Negotiating track arrival times among trucking companies and a container terminal. Transportation Research Part E: Logistics and Transportation Review, 75, 132-144. https://doi.org/10.1016/j.tre.2015.01.004
Qi, Y., Zhao, Q., Azimi, M., & Jinna, H. (2019). Innovative Countermeasures for Reducing the Truck Wait Time at Marine Terminals (No. 2018 Project 14). The University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education.
Ricardianto, P., Putra, A.P., Majid, S.A., Fachrial, P., Samosir, J., Adi, E.M., Wardana, A., Rafi,S., Ozali, I., & Endri, E. (2022a). Evaluation of the Two Runway Queuing System: Evidence from Soekarno-Hatta International Airport in Indonesia. WSEAS Transactions on Systems and Control, 17, 142-152. DOI: 10.37394/23203.2022.17.16
Ricardianto, P., Wibowo, H., Agusinta, L., Abdurachman, E., Suryobuwono, A., Fachrial, P., Setiawan, A., Rafi, S., Maemunah, S & Endri, E. (2022b). Determinants of airport train operational performance. International Journal of Data and Network Science, 6(1), 91-98. doi: 10.5267/j.ijdns.2021.9.019.
Shahpanah, A., Poursafary, S. Shariatmadari, S. Gholamkhasi, A., & Zahraee, S. M. (2014). Optimization waiting time at berthing area of port container terminal with hybrid genetic algorithm (GA) and artificial neural network (ANN). Advanced Materials Research, 902, 431-436). https://doi.org/10.4028/www.scientific.net/AMR.902.431
Sharif, O., Huynh, N., & Vidal, J. M. (2011). Application of El Farol model for managing marine terminal gate congestion. Research in Transportation, 32(1), 81-89. https://doi.org/10.1016/j.retrec.2011.06.004
Stojaković, M., & Twrdy, E. (2019). The influence of yard trucks on berth operations in smaller container terminals. The Influence of Yard Trucks on Berth Operations in Smaller Container Terminals., 33(2), 171-175. https://doi.org/10.31217/p.33.2.6
Tan, C., He, J., & Wang, Y. (2020). Berth allocation and quay crane assignment under uncertainties. Transdisciplinary Engineering for Complex Socio-Technical Systems–Real-Life Applications: Proceedings of the 27th ISTE International Conference on Transdisciplinary Engineering, July 1–July 10, 2020. Vol. 12.
Widiyanto, P., Jaya Sakti, R.F., Setiawan, E.B., Manfaluthy, M., Suryaningsih, L., Ricardianto, P., Kamar, K., & Endri, E. (2021). The Relationship between Service Quality, Timeliness of Arrival, Departure Flip Ship Logistics and People and Customer Satisfaction: A Case in Indonesia. Academy of Entrepreneurship Journal, 27(6), 1-10.
Zhang, X., Zeng, Q., & Chen, W. (2013). An optimization model for truck appointments in container terminals. Procedia-Social and Behavioral Sciences, 96, 1938-1947. https://doi.org/10.1016/j.sbspro.2013.08.219
Zhou, P. F., & Kang, H. G. (2008). Study on berth and quay-crane allocation under stochastic environments in a container terminal. Systems Engineering-Theory & Practice, 28(1), 161-169. https://doi.org/10.1016/S1874-8651(09)60001-6