Proceedings of the 3rd International Conference on Business and Management of Technology (ICONBMT 2021)

Non-Container Port Services Bottlenecks Identification Using Process Mining and Simulation Analysis

Authors
Alvin Syarifudin Shahab1, *, Mohammad Isa Irawan2
1Technology Management Department, Institut Teknologi Sepuluh Nopember:alvinsyarifudin@gmail.com
2Department of Mathemathics, Institut Teknologi Sepuluh Nopember:mii@its.ac.id
*Corresponding author. Email: alvinsyarifudin@gmail.com
Corresponding Author
Alvin Syarifudin Shahab
Available Online 31 December 2021.
DOI
10.2991/aebmr.k.211226.006How to use a DOI?
Keywords
Business process management; event log; non-container loading and unloading; process mining; queuing system simulation analysis
Abstract

The number of loading and unloading processes is one of the port’s main business processes. In carrying out loading and unloading services, there are fundamental indicators used as performance evaluation of a port in Indonesia, namely T/G/H (Ton/Gang/Hours) for the non-container performance of loading and unloading production. At one of Indonesia’s ports, the T/G/H indicator from 2018 to 2020 several times did not reach the specified minimum standard. Therefore, it is necessary to evaluate the loading and unloading time of activities with bottlenecks to minimize and improve performance. In this research, the identification of business process flows is based on applicable SOP using YAWL to obtain the event logs. The process mining tools then carry out the event log results from the system to identify the most significant bottlenecks in the business process. The activities are then analyzed using a queuing system simulation analysis based on ARENA tools. This study’s results obtained three processes with the biggest bottlenecks in the business process: the loading and unloading process, the timesheet, and the realization entries with the highest waiting time are 67 hours. These results can be a reference for the company to improve its performance in the future.

Copyright
© 2021 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

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Volume Title
Proceedings of the 3rd International Conference on Business and Management of Technology (ICONBMT 2021)
Series
Advances in Economics, Business and Management Research
Publication Date
31 December 2021
ISBN
10.2991/aebmr.k.211226.006
ISSN
2352-5428
DOI
10.2991/aebmr.k.211226.006How to use a DOI?
Copyright
© 2021 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Alvin Syarifudin Shahab
AU  - Mohammad Isa Irawan
PY  - 2021
DA  - 2021/12/31
TI  - Non-Container Port Services Bottlenecks Identification Using Process Mining and Simulation Analysis
BT  - Proceedings of the 3rd International Conference on Business and Management of Technology (ICONBMT 2021)
PB  - Atlantis Press
SP  - 40
EP  - 46
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.211226.006
DO  - 10.2991/aebmr.k.211226.006
ID  - Shahab2021
ER  -