The Development of Stowage Planning Model for General Cargo Ship and Cargo Barge Vessel
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Abstract
As a maritime country whose water area is three times wider than its land, Indonesia has one of the ways to increase the logistic activities especially in adjusting to the development of the industry 4.0 by enhancing the productivity of maritime logistics in a way of streamlining the action at unit terminal containers. Stevedoring is a one of very important logistics activities in port operational ecosystem. In order to optimize the performance of the port, the efficiency of the stowage planning process is done. Some factors which can be evolved in stowage planning are processing time, ship stability, and minimum over stow. This research uses the stowage planning algorithm to develop an application in Python programming language. This application will eventually be used to create a stowage plan map for general cargo ship and cargo barge vessel in by prioritizing the ship stability, as well avoiding low over stow in a short time. With Python programming language a routine operational four hours job that used Microsoft Excel, only requires far less time with 10-15 seconds.
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References
Ambrosino, D., Sciomachen, A., & Tanfani, E. (2006). A decomposition heuristics for the container ship stowage problem. Journal of Heuristics, 12(3), 211-233. doi:10.1007/s10732-006-5905-1
Asian, S., Pool, J. K., Nazarpour, A., & Tabaeeian, R. A. (2019). On the importance of service performance and customer satisfaction in third-party logistics selection An application of Kano model. Benchmarking: An International Jurnal, 26(5), 1550-1564. doi:10.1108/BIJ-05-2018-0121
Demir, E., Huang, Y., Scholts, S., & Van Woensel, T. (2015). A selected review on the negative externalities of the freight transportation: Modeling and pricing. Transportation research part E: Logistics and transportation review, 77, 95-114. doi:10.1016/j.tre.2015.02.020
Hardjono, S. (2015). Analisa Ukuran Utama Kapal General Cargo yang Sesuai dan Aman untuk Gelombang Tinggi di Perairan Indonesia. Warta Penelitian Perhubungan, 27(3), 167-180. doi:10.25104/warlit.v27i3.782
Imai, A., Sasaki, K., Nishimura, E., & Papadimitriou, S. (2006). Multi-objective simultaneous stowage and load planning for a container ship with container rehandle in yard stacks. European Journal of Operational Research, 171, 373–389. doi:10.1016/j.ejor.2004.07.066
Li, J., Zhang, Y., Ma, J., & Ji, S. (2018). Multi-Port Stowage Planning for Inland Container Liner Shipping Considering Weight Uncertainties. IEEE Access, 6, 66468-66480. doi:10.1109/ACCESS.2018.2878308
Pang, G., & Gebka, B. (2017). Forecasting container throughput using aggregate or terminal-specific data? The case of Tanjung Priok Port, Indonesia. International Journal of Production Research, 55(9), 2454-2469. doi:10.1080/00207543.2016.1227102
Sciomachen, A., & Tanfani, E. (2007). A 3D-BPP approach for optimising stowage plans. European Journal of Operational Research, 183, 1433–1446. doi:10.1016/j.ejor.2005.11.067
Sihotang, R. (2014). Perancangan Algoritma Penempatan Peti Kemas di Kapal Pengangkut Peti Kemas yang Menjaga Stabilitas Kapal dan Menghindari Overstow dengan Pendekatan Heuristik. Depok: Universitas Indonesia.
Stahlbock, R., & Voß , S. (2008). Operations research at container terminals: a literature update. OR spectrum, 30, 1-52. doi:10.1007/s00291-007-0100-9
Yuliani, A. (2011). Evaluasi Penerapan Next Generation Terminal Managementsystem (NGEN) Dalam Mendukung Kelancaran Penanganan petikemas Pada PT. JICT di Pelabuhan Tg. Priok. Warta Penelitian Perhubungan, 23(4), 349-361. doi:10.25104/warlit.v23i4.1090