DYNAMIC YARD TEMPLATE DESIGN TO IMPROVE UTILIZATION AND OPERATION EFFICIENCY ON VERTICAL LAYOUT-CONTAINER YARDS CONSIDERING UNCERTAINTY OF TRUCK ARRIVAL

Siti Nurminarsih, Maulin Masyito Putri, Ahmad Rusdiansyah

Abstract


Loading containers into a vessel can be delayed because of inefficient processes in the container yard. These container yard inefficient processes can be caused by inappropriate stacking position and inefficient crane operation. Inappropriate containers stacking positions may need some preparatory jobs of rearranging containers ahead of loading time to reduce delays in the process. The method will allow preparatory jobs to be scheduled together with main jobs to optimize use of the idle time of ASCs. This research aims to find a better scheduling strategy of twin ASCs as well as improving land utilization in a vertical-layout container yard to minimize delays in containers loading process. The uncertainty of truck arrival is accomodated by implementing iterative rescheduling in look-ahead planning horizon. The algorithm finds the optimal position of the container in the yard by implementing scoring function for each available slot. Finally, some numerical experiments are conducted to prove the performance of the algorithm.

Keywords


Vertical Layout-Container Yard; Land Utilization; Iterative Rescheduling

Full Text:

PDF

References


The World Bank..Global Ranking 2018. Available from: https://lpi.worldbank.org/international/global [Accessed 17 September 2018].

BAPPENAS. Laporan Implementasi Konsep Tol Laut 2015-2019, Jakarta: Kementerian Perencanaan dan Pembangunan Nasional; 2015.

Pitoko, R.A..Penasaran "Dwelling Time" di Atas 3 Hari, Menhub akan Datangi Tanjung Priok. Available from: https://ekonomi.kompas.com/read/2018/04/03/145600326/penasaran-dwelling-time-di-atas-3-hari-menhub-akan-datangi-tanjung-priok. [Accessed 12 Nopember 2018].

Nurminarsih, S., Rusdiansyah, A. and Putri, M.M.. Space-sharing Strategy for Building Dynamic Container Yard Storage Considering Uncertainty on Number of Incoming Containers. Jurnal Teknik Industri. 2018;19(2): pp.67-74.

Zhen, L.. Container yard template planning under uncertain maritime market. Transportation Research Part E. 2014; 69: pp. 199-217.

Lee, L.H., Chew, E.P., Tan, K.C., Han, Y. An optimization model for storage yard management in transshipment hubs. OR Spectrum. 2006; 28: pp. 539–561.

Jiang, X., Lee, L.H., Chew, E.P., Han, Y., Tan, K.C. A container yard storage strategy for improving land utilization and operation efficiency in a transshipment hub port. European Journal of Operation Research. 2012; 221: pp. 64-73.

Alcalde, E.M., Kim, K.H., Marchan, S.S.. Optimal space for storage yard considering yard inventory forecasts and terminal performance. Transportation Research Pert E. 2015; 82: pp. 101-128.

Han, X.L., Lu, Z.Q., Xi, L.F. A proactive approach for simultaneous berth and quay crane scheduling problem with stochastic arrival and handling time. European Journal of Operation Research. 2010; 207: pp. 1327-1340.

Zhen,L., Lee, L.H., Chew, E.P. A decision model for berth allocation under uncertainty. European Journal of Operation Research. 2011; 212: pp. 54-68.

Choe, R., Kim, T.S, Kim, T.,Ryu , K.R. Crane Scheduling for Opportunistic Remarshaling of Containers in an Automated Stacking Yard. Flexible Service and Manufacturing Journal. 2015; 27: pp 331-349.

Park T, Kim J, Ryu KR. Iterative replanning using genetic algorithms for remarshaling in a container terminal. InProceedings of the 10th IASTED International Conference. 2010; Vol. 674, No. 120, p. 22.

Park K, Park T, Ryu KR. Planning For Selective Remarshaling in an Automated Container Terminal using Coevolutionary Algorithms. International Journal of Industrial Engineering. 2013 Jan 1;20.

Park T, Choe R, Ok SM, Ry KR. Real-time scheduling for twin ASCs in an automated container. OR Spectr. 2010; 32: pp593-615.

Carlo, H.J., Vis, I.F.A., Roodbergen, K.J. Storage yard operations in container terminals: literature review, trends, and research directions. European Journal of Operation Research 2014: 235: pp 412-430.

Choe R, Yuan H, Yang Y, Ryu KR. Real-time scheduling of twin stacking cranes in an automated container terminal using a genetic algorithm. InProceedings of the 27th Annual ACM Symposium on Applied Computing 2012 Mar 26. pp. 238-243. ACM.

Jang H, Choe R, Ryu KR. Deriving a robust policy for container stacking using a noise-tolerant genetic algorithm. InProceedings of the 2012 ACM Research in Applied Computation Symposium 2012 Oct 23. pp. 31-36. ACM.




DOI: https://doi.org/10.21776/ub.jemis.2018.006.02.2

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.