An Interactive Construction Deployment Planning Model for the SKA Project

Author:

Rens Johannes1,Wium Jan Andries1

Affiliation:

1. Stellenbosch University, South Africa

Abstract

<p>The<i>Square Kilometre Array (SKA)</i>is a global project to build the world’s largest telescope that stretches over at least 3000 km. This paper presents an interactive decision support tool which can be used for the planning of the construction of 190 (Phase 1) and 2400 (Phase 2) antenna foundations and other infrastructure. A simulation-based site layout planning (SLP) model is presented. The SLP model facilitates the manual optimization of the site layout through a series of “what if” analyses during the layout of temporary construction facilities in order to minimize site transportation cost/time, site establishment cost and improve the efficiency of material handling on site. The model uses unique concepts to facilitate integration of site layout planning, material supply and project scheduling. The model provides a graphical user interface and 2D visual communication during planning. It can also be applied to other repetitive construction projects such as the vertical construction of a multi-story building, or the linear construction of a road section.</p>

Publisher

International Association for Bridge and Structural Engineering (IABSE)

Reference19 articles.

1. Bolton, R., Millenaar, R. P. & Harris, G. D. 2015. "SKA Configurations Design". [Online]. Available: http://www.skatelescope.org/publications/

2. Lekalake, T. 2015. "SKA1_MID Infrastructure and Power Construction Deployment Strategy". [Online]. Available: http://www.skatelescope.org/publications/

3. Tommelein, I.D. 1989. SightPlan an expert system that models and augments human decision-making for designing construction site layouts. Unpublished thesis. Stanford University.Ph.D

4. Yeh, I. 1995. Construction-Site Layout using Annealed Neural Network. Journal of Computing in Civil Engineering, 9(3). :201-208.

5. El-Rayes, K. & Said, H. 2009. Dynamic Site Layout Planning using Approximate Dynamic Programming. Journal of Computing in Civil Engineering, 23(2). :119-127.

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