Discrete event simulation approach for container terminal loading and unloading productivity evaluation

Nurhadi Siswanto, Atika Tri Wahyuninngsih

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

The productivity measure reflects how reliable a port is in serving customers as a competitiveness of one port against another. This is what makes it important to evaluate the productivity of a port in order to maintain its existence. From the data obtained from the case study port, it is known that in each loading and unloading parameters, the productivity generally still has not reached the specified target. This study discusses the evaluation of productivity in loading and unloading operations of a port due to this operation is the main selling point offered. This study uses a discrete simulation method that can be used to accommodate complexity and uncertainty. By using the discrete event simulation method, the behaviour of the system can be described well by imitating the existing system behaviours in the field. From the analysis that has been done, it is found that the factors that affect the productivity of container loading and unloading at the port are the availability of Combined Tractor Terminal (CTT) trucks, the length of the pier, and the number of Ship to Shore Crane (STS) that must be reviewed comprehensively and systematically. Because if these factors are reviewed independently, these factors cannot show a significant effect on overall loading and unloading productivity. Based on several scenarios that have been tested in this study, the results of the analysis produce two best improvement scenarios to increase loading and unloading productivity at the port.

Original languageEnglish
Title of host publicationProceedings of the 11th Annual International Conference on Industrial Engineering and Operations Management, 2021
PublisherIEOM Society
Pages1181
Number of pages1
ISBN (Print)9781792361241
Publication statusPublished - 2021
Event11th Annual International Conference on Industrial Engineering and Operations Management, IEOM 2021 - Virtual, Online
Duration: 7 Mar 202111 Mar 2021

Publication series

NameProceedings of the International Conference on Industrial Engineering and Operations Management
ISSN (Electronic)2169-8767

Conference

Conference11th Annual International Conference on Industrial Engineering and Operations Management, IEOM 2021
CityVirtual, Online
Period7/03/2111/03/21

Keywords

  • And Variable Neighborhood Search
  • Least Flexible Job
  • Longest Processing Time
  • Optimization
  • Production Schedule

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