| Issue |
E3S Web Conf.
Volume 253, 2021
2021 International Conference on Environmental and Engineering Management (EEM 2021)
|
|
|---|---|---|
| Article Number | 02022 | |
| Number of page(s) | 6 | |
| Section | Big Data Environment Management Application and Industry Research | |
| DOI | https://doi.org/10.1051/e3sconf/202125302022 | |
| Published online | 06 May 2021 | |
Research on Schedule Risk of Ship Maintenance Project Resource Allocation Based on System Dynamics
1 Department of Management Engineering and Equipment Economics, Naval University of Engineering Wuhan, China Liu Zhi-meng, Male, Graduate Student, Research option: Project Management
2 Department of Management Engineering and Equipment Economics, Naval University of Engineering Wuhan, China
3 School of Applied Science and Technology, Hainan University Wuhan, China
Ship maintenance requires the use of a lot of resources, and the schedule risk caused by resource factors is an important reason for the long time and easy delay of maintenance projects. This paper adopts system dynamics theory to analyze the dynamic relationship between activity delay and resource allocation factors, and establishes a risk assessment model. Use anylogic software to simulate the implementation process of activities, and effectively simulate the mutual influence and change process of various risk factors, so as to achieve the purpose of accurately and effectively estimating the duration of project activities.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.