The Realization Processes of Dynamic and Integrated Environmental Risk Control System for Residential Projects

Article Preview

Abstract:

The Dynamic and Integrated Environmental Risk Control System (DIERCS) for residential projects means to establish lifecycle dynamic environmental risk control system at first, and then make use of Decision Support System (DSS) to achieve lifecycle dynamic environmental risk control system integration for residential projects. The realization processes both the Dynamic Risk Control System and the Dynamic and Integrated Environmental Risk Control System (DIERCS) for Residential Projects are summarized, which would be beneficial to perfect the theory of environmental risk control system for residential projects.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

338-341

Citation:

Online since:

September 2013

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Mehran Zeynalian, Bambang Trigunarsyah, H. R. Ronagh. Modification of Advanced Programmatic Risk Analysis and Management Model for the Whole Project Life Cycle's Risks[J]. Journal of Construction Engineering and Management, 2013(1): 51-59.

DOI: 10.1061/(asce)co.1943-7862.0000571

Google Scholar

[2] Peter Grundke. Top-down approaches for integrated risk management: How accurate are they? [J]. European Journal of Operational Research, 2010(203): 662–672.

DOI: 10.1016/j.ejor.2009.09.015

Google Scholar

[3] Aymen Mili, Samuel Bassetto, Ali Siadat. Dynamic risk management unveils productivity improvements[J]. Journal of Loss Prevention in the Process Industries, 2009(22): 25-34.

DOI: 10.1016/j.jlp.2008.07.011

Google Scholar

[4] Jin Changhong. The Lifecycle Dynamic Risk Identification Process for Real Estate Projects[C]. 2012 The 3rd IEEE International Conference on Emergency Management and Management Sciences (ICEMMS 2012)[A]. 2012-8.

Google Scholar

[5] l-Tung Yang. Performing Complex Project Crashing Analysis with aid of Particle Swarm Optimization Algorithm[J]. International Journal Project Management, 2007,25(6): 637-646.

DOI: 10.1016/j.ijproman.2006.11.001

Google Scholar

[6] Seung H. Han, Du Y. Kim, Hyungkwan Kim. A web-based integrated system for international project risk management[J]. Automation in Construction, 2008(17): 342–356.

DOI: 10.1016/j.autcon.2007.05.012

Google Scholar

[7] Mohamed Abdelgawad, Aminah Robinson Fayek. Risk Management in the Construction Industry Using Combined Fuzzy FMEA and Fuzzy AHP[J]. Journal of Construction Engineering and Management, 2010(12): 128-136.

DOI: 10.1061/(asce)co.1943-7862.0000210

Google Scholar

[8] Y P Poh, J H M Tah. Integrated Duration-cost Influence Network for Modeling Risk Impacts on Construction Tasks[J]. Construction Management and Economics, 2006(24): 861-868.

DOI: 10.1080/01446190600658891

Google Scholar