Space-sharing Strategy for Building Dynamic Container Yard Storage Considering Uncertainty on Number of Incoming Containers

Authors

  • Siti Nurminarsih Universitas Internasional Semen Indonesia
  • Ahmad Rusdiansyah Institut Teknologi Sepuluh Nopember
  • Maulin Masyito Putri Universitas Internasional Semen Indonesia

:

https://doi.org/10.9744/jti.19.2.67-74

Keywords:

Dwell Time, Space-Sharing Concept, Yard Management.

Abstract

The implementation of AEC (Asian Economic Community) leads to demand increase at ports in Indonesia. This increasing demand is followed by operational efficiency at the port as well. In fact, ports in Indonesia have an average dwell time for 5 days. One of the causes of this long dwell time is container transfer inefficiencies during loading process. In this research, we will focus in yard management and increasing land utilization. To increase the land utilization, we develop the space-sharing concept to reduce the initial space needed for a given workload. Since the ships arrivals are also varying, this concept will be possible. We develop the concept by adding uncertainty on number of incoming containers at operational level as the determining factor in planning a shared yard area. We propose a simulation approach to evaluate strategies in making yard template.

References

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 82, 2015, pp. 101-128.

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 235, 2014, pp. 412-430.

Gharehgozli, A. H., Scheduling Twin Yard Cranes in a Container Block. Transportation Science, 2014, pp. 1 - 20.

Han, Y., Lee, L.H., Chew, E.P., Tan, K.C., A yard storage strategy for minimizing traffic congestion in a marine container transshipment hub. OR Spectrum 30, 2008, pp. 697–720.

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 207, 2010, pp. 1327-1340.

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 221, 2012, pp. 64-73.

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

UNCTAD, United Nations Conference on Trade and Development, Review of maritime transport 2010, Geneva, 2010.

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

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

Downloads

Published

2018-01-08

How to Cite

[1]
S. Nurminarsih, A. Rusdiansyah, and M. M. Putri, “Space-sharing Strategy for Building Dynamic Container Yard Storage Considering Uncertainty on Number of Incoming Containers”, Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri, vol. 19, no. 2, pp. 67-74, Jan. 2018.