Proceedings of the 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017)

Analysis on Distributions of Problem Phenomena in Engineering Project

Authors
Chen He, Xueliang Hou
Corresponding Author
Chen He
Available Online November 2017.
DOI
10.2991/amms-17.2017.98How to use a DOI?
Keywords
distribution law; problem phenomena; engineering project
Abstract

In different stages of engineering projects, there are many problems which appear frequently, always produce disadvantages to projects and bring many barriers to engineering project managers. In this paper, for the purpose of solving these problems, the problem phenomena in engineering projects have been investigated. The corresponding characteristics and relationships of all problem phenomena are discovered by statistical analysis. The results show that the serious phase of engineering conflict events in construction projects and an obviously increase of problem phenomena amount from decision-making stage to arranged stage. The results put forward a significant evidence for project managers to approach engineering problems effectively.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017)
Series
Advances in Intelligent Systems Research
Publication Date
November 2017
ISBN
10.2991/amms-17.2017.98
ISSN
1951-6851
DOI
10.2991/amms-17.2017.98How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Chen He
AU  - Xueliang Hou
PY  - 2017/11
DA  - 2017/11
TI  - Analysis on Distributions of Problem Phenomena in Engineering Project
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017)
PB  - Atlantis Press
SP  - 454
EP  - 457
SN  - 1951-6851
UR  - https://doi.org/10.2991/amms-17.2017.98
DO  - 10.2991/amms-17.2017.98
ID  - He2017/11
ER  -