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Modelling the supply chain impact of a digital terminal appointment systems parameters and user behaviours. A discrete event simulation approach
Citation
Neagoe, M and Hvolby, H-H and Taskhiri, MS and Turner, P, Modelling the supply chain impact of a digital terminal appointment systems parameters and user behaviours. A discrete event simulation approach, Proceedings from the Australasian Conference on Information Systems, 09-11 December 2019, Freemantle, WA, pp. 1-7. (2019) [Refereed Conference Paper]
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Copyright Statement
Copyright 2019 The Authors. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 3.0 Australia License, which permits non-commercial use, distribution, and reproduction in any medium, provided the original author and ACIS are credited.
Official URL: https://www.acis2019.org/
Abstract
This research-in-progress paper is part of an ongoing investigation that explores the role of information
and digital systems for understanding congestion challenges and management approaches in bulk cargo
marine terminals and supply chains. This paper contributes to the broader investigation by developing
a discrete-event simulation model to improve understanding of the impact of driver behaviors and
scheduling parameters in the use of a digital terminal appointment system on truck flows in the supply
chain and turnaround times at the terminal. The data supporting the simulation model was collected
from an RFID-enabled weigh-bridge system of an Australian terminal operator and GPS units mounted
on trucks. Simulation results indicate that even low levels of system use can reduce truck turnaround
times and reduce service time uncertainty. Interestingly, the truck turnaround time benefits resulting
from the use of the appointment system are particularly significant when the terminal operates at high
capacity.
Item Details
| Item Type: | Refereed Conference Paper |
|---|---|
| Keywords: | terminal appointment system, congestion management, digital systems, transport management, logistics chains |
| Research Division: | Information and Computing Sciences |
| Research Group: | Distributed computing and systems software |
| Research Field: | Service oriented computing |
| Objective Division: | Economic Framework |
| Objective Group: | Microeconomics |
| Objective Field: | Supply and demand |
| UTAS Author: | Neagoe, M (Mr Mihai Neagoe) |
| UTAS Author: | Taskhiri, MS (Dr Mohammad Sadegh Taskhiri) |
| UTAS Author: | Turner, P (Associate Professor Paul Turner) |
| ID Code: | 136036 |
| Year Published: | 2019 |
| Deposited By: | Information and Communication Technology |
| Deposited On: | 2019-11-27 |
| Last Modified: | 2020-05-26 |
| Downloads: | 15 View Download Statistics |
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