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Chan, A P C, Wong, F K W, Chan, D W M, Yam, M C H, Kwok, A W K, Lam, E W M and Cheung, E (2008) Work at Height Fatalities in the Repair, Maintenance, Alteration, and Addition Works. Journal of Construction Engineering and Management, 134(07), 527–35.

Damnjanovic, I and Zhang, Z (2008) Risk-Based Model for Valuation of Performance-Specified Pavement Maintenance Contracts. Journal of Construction Engineering and Management, 134(07), 492–500.

Eastman, C M and Sacks, R (2008) Relative Productivity in the AEC Industries in the United States for On-Site and Off-Site Activities. Journal of Construction Engineering and Management, 134(07), 517–26.

Goedert, J D and Meadati, P (2008) Integrating Construction Process Documentation into Building Information Modeling. Journal of Construction Engineering and Management, 134(07), 509–16.

Hyun, C, Cho, K, Koo, K, Hong, T and Moon, H (2008) Effect of Delivery Methods on Design Performance in Multifamily Housing Projects. Journal of Construction Engineering and Management, 134(07), 468–82.

Nguyen, L D and Ibbs, W (2008) FLORA: New Forensic Schedule Analysis Technique. Journal of Construction Engineering and Management, 134(07), 483–91.

Salem, O and Mohanty, S (2008) Project Management Practices and Information Technology Research. Journal of Construction Engineering and Management, 134(07), 501–8.

Sanad, H M, Ammar, M A and Ibrahim, M E (2008) Optimal Construction Site Layout Considering Safety and Environmental Aspects. Journal of Construction Engineering and Management, 134(07), 536–44.

  • Type: Journal Article
  • Keywords: Construction sites; Occupational safety; Environmental issues; Optimization models; Computation;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2008)134:7(536)
  • Abstract:
    A good site layout is vital to ensure the safety of the working environment and effective and efficient operations. Site layout planning has significant impacts on productivity, costs, and duration of construction. Construction site layout planning involves identifying, sizing, and positioning temporary and permanent facilities within the boundary of the construction site. Site layout planning can be viewed as a complex optimization problem. Although construction site layout planning is a critical process, systematical analysis of this problem is always difficult because of the existence of a vast number of trades and interrelated planning constraints. The problem has been solved using two distinct approaches: Optimization techniques and heuristics methods. Mathematical optimization procedures have been developed to produce optimal solutions, but they are only applicable for small-size problems. Artificial intelligent techniques have been used practically to handle real-life problems. On the other hand, heuristic methods have been used to produce good but not optimal solutions for large problems. In this paper, an optimization model has been developed for solving the site layout planning problem considering safety and environmental issues and actual distance between facilities. Genetic algorithms are used as an optimization bed for the developed model. In order to validate the performance of the developed model, a real-life construction project was tested. The obtained results proved that satisfactory solutions were obtained.

Tam, V W Y, Le, K N and Le, H N (2008) Using Gaussian and Hyperbolic Distributions for Quality Improvement in Construction: Case Study Approach. Journal of Construction Engineering and Management, 134(07), 555–61.

Tang, W, Qiang, M, Duffield, C F, Young, D M and Lu, Y (2008) Incentives in the Chinese Construction Industry. Journal of Construction Engineering and Management, 134(07), 457–67.

Zhang, H, Li, H and Lu, M (2008) Modeling Time-Constraints in Construction Operations through Simulation. Journal of Construction Engineering and Management, 134(07), 545–54.