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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. (In Press) [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:Information Systems
Research Field:Interorganisational Information Systems and Web Services
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:In Press
Deposited By:Information and Communication Technology
Deposited On:2019-11-27
Last Modified:2020-01-30
Downloads:0

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