Discrete Event Simulation Modelling for Classifying the Container Yard Availability Considering Dock Unloading Activity

Author:

Tama M I,Siswanto N,Suparno ,Aqsha BD

Abstract

Abstract The development of systems and technology in the industry especially in the supply chain sector currently has a significant influence on the speed and accuracy along the supply chain. This is one of the reasons to build a container loading and unloading service company located in Surabaya. Terminal Teluk Lamong is the one and only Indonesian company that applies the green port concept with renewable loading and unloading equipment technology. One of the unique and prominent renewable concepts is the docking station, which aims to speed up unloading activities. Because the condition of container unloading activities is more common, this research focuses on container unloading activity only. Currently, the port has five yards available with 30 docking gates on the unloading side. The problem is the yard occupancy ratio (YOR) in unloading activity which has a low percentage value (27%). Even though the percentage value should be around 60%, therefore the value of yard utility didn’t optimal yet. A discrete-event simulation (DES) aims to help classify which yards are suitable for unloading activities and the rest for loading activities. The model verification is obtained “no error” and model validation is less than 5%. For all scenarios conclude that the best scenario is to use three-yard containers with six gates of docking for each yard.

Publisher

IOP Publishing

Subject

General Medicine

Reference5 articles.

1. Managing Bottlenecks In Manual Automobile Assembly Systems Using Discrete Event Simulation;Dewa;The South African Journal of Industrial Engineering,2013

2. Space-Sharing Strategy for Building Dynamic Container Yard Storage Considering Uncertainty on Number of Incoming Containers;Nurminarsih;Journal Industrial Engineering,2018

3. A Simulation study of sea transport based fertilizer product considering disruptive supply and congestion problems;Siswanto;Asian Journal of Shipping and Logistics,2018

4. Maritime inventory routing problem with multiple time windows;Siswanto;J. Ind. Manag. Optim.,2019

5. Research on the Simulation of Industry Port Raw Material Terminal;Yuan;International Conference on Computer Design and Applications (ICCDA),2010

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3