Paper Titles

Teleoperation Scheduling Algorithm for Smart Grid Communications in LTE Network
p.340

Modeling of the PLC Behavior in Intralogistics with Non-Autonomous Hybrid Petri-Nets
p.349

Numerical Study on the Fire Development Process of Typical Power Plant Multi-Floor Compartment
p.354

A Review of Exploitation, Utilization and Strategic Research of Nonmetallic Minerals in China
p.359

Development of Conceptual Model for Uncertainty Management on Project Completion Late Delivery in Environmental Issues
p.363

Three-Dimensional Pattern Blending Design of Five-Surface Plane Developed Drawing
p.371

Corn Production: A Subsurface Drip Irrigation Approach
p.375

Research on Influential Factors of Visual Website Aesthetics Basing on Multiple Linear Regression Method
p.379

The Status Quo of Mechanical Methods Recycling Waste Printed Circuit Boards
p.383

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 666Development of Conceptual Model for Uncertainty...

Development of Conceptual Model for Uncertainty Management on Project Completion Late Delivery in Environmental Issues

Article Preview

Abstract:

The construction industry has many underlying causes of uncertainty that impact on late delivery of project completion's performance as well as in time management. Most of researchers proposed a modelling and simulation techniques to solve these uncertainties problem nevertheless not tackling the uncertainty in environmental issues (EI). Yet, the environmental issues were also leading significant deviations for project completion performance, which means it is important to be studied. Therefore, the comprehensive sturvey is discussed in this paper in purpose to develop the uncertainty modeling model on late delivery in environmental issues. The development of conceptual model through a comprehensive survey involving piping's construction industry for water supply company with multi-project construction environment is developed to show the relationship for each cause and affects that underlying uncertainty on late project delivery in environmental issues. Further research is to verify and validate the conceptual model as has been analyzed through fractional factorial design with ANOVA, through the development of uncertainty model via modeling and simulation using MATLAB.

You might also be interested in these eBooks

Electronics, Mechatronics and Automation III

Info:

Periodical:

Applied Mechanics and Materials (Volume 666)

Pages:

363-370

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.666.363

Citation:

Cite this paper

Online since:

October 2014

Authors:

Baharum Zirawani, M. Ngadiman Salihin, H. Mustaffa Noorfa

Keywords:

Conceptual Model, Construction, Environmental Issues, Late Delivery, Uncertainty

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Heesom, D. and Mahdjoubi, L. (2004) Trends of 4D CAD for Construction Planning., Journal of Construction Management and Economics. In Press.

DOI: 10.1080/0144619042000201376

[2] Mario, B., Damir, K. and Fertalj, K. (2012). Resource Constrained Project Scheduling under Uncertainty: A Survey., Central Europena Conference on Information and Intelligent Systems, Crotia. pp.401-409.

[3] Wakas, S. K. and Leong, W. (2009). Cost Reduction for the Project Completion in Shortest Possible Duration by Stretching Noncritical Activities., Australian Journal of Basic and Applied Sciences, Volume 3(4), pp.4526-4533.

[4] Kuhl, M. E. and Tolentino-Pena, R. (2008). A Dynamic Crashing Method for Project Management using Simulation-Based Optimization., Proceedings of 2008 Winter Simulation Conference, p.2370 – 2376.

DOI: 10.1109/wsc.2008.4736344

[5] Li, Heng and Chan, Neo and Guo, H.L. and Lu, Weisheng and Skitmore, Martin (2009) Optimizing construction planning schedules by virtual prototyping enabled resource analysis., Automation in Construction, Volume 18(7). pp.912-918.

DOI: 10.1016/j.autcon.2009.04.002

[6] Li, B., A, S.A. and Thorpe, T. (2006). Management and Planning of a Collaborative Construction Planning Process., Proceedings of International Conference on Asia-European Sustainable Urban Development, Chongqing, China.

[7] Zirawani B., Mohd Salihin N. and Noorfa H. M. (2011).

[8] Refsgaard, J. C (2010). CRES Annual Meeting report of Geological Survey of Denmark and Greenland Ministry of Climate and Energy., Svendborg, November 17-18, (2010).

[9] Walker, W. E., Harremoes, P., VanDerSluijs, J. P., VanAsselt, M. B. A., Janssen, P. And Krayer, M. P. (2003).

[10] www. geus. uk (2010) (Geological Survey of Denmark and Greenland Ministry of Climate and Energy) CRES Annual Meeting, Svendborg, November 17-18, (2010).

[11] Zirawani B., Noorfa, H.M. and Salihin H. (2012).

[12] He, J and Wan, Z.P. (2004). Construction Project Scheduling Problem with Uncertain Resource Constraints., Dept. of Management, Shanghai 2nd Polytechnic Univ., Shanghai, China, pp.1-12.

[13] Polat, G. And Ballard, G. (2004) Waste in Turkish Construction: Need for Lean Construction Techniques., White paper via www. iglc2004. dk/_root/media/13080_067-polat-ballard-final. pdf.

[14] Zirawani B., Ngadiman, M. S. and Noorfa H. M (2013) The Conceptual Model of Uncertainty Factors in Environmental Issues on Late Delivery for Construction Industry., Advanced Materials Research, Vols. 610-613 (2013), pp.2889-2896.

DOI: 10.4028/www.scientific.net/amr.610-613.2889

[15] Prasanta, K. D. (2001) Decision Support System for Risk Management: A Case Study., MCB University Press, Management Decision, Volume 39 (8), pp.634-649.

DOI: 10.1108/00251740110399558