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Abdelhamid, T S and Everett, J G (2002) Physiological Demands during Construction Work. Journal of Construction Engineering and Management, 128(05), 427–37.

Bernold, L E (2002) Spatial Integration in Construction. Journal of Construction Engineering and Management, 128(05), 400–8.

Cheung, S, Suen, H C H and Lam, T (2002) Fundamentals of Alternative Dispute Resolution Processes in Construction. Journal of Construction Engineering and Management, 128(05), 409–17.

Jonasson, S, Dunston, P S, Ahmed, K and Hamilton, J (2002) Factors in Productivity and Unit Cost for Advanced Machine Guidance. Journal of Construction Engineering and Management, 128(05), 367–74.

Karumanasseri, G and AbouRizk, S (2002) Decision Support System for Scheduling Steel Fabrication Projects. Journal of Construction Engineering and Management, 128(05), 392–9.

Kululanga, G K, Price, A D F and McCaffer, R (2002) Empirical Investigation of Construction Contractors' Organizational Learning. Journal of Construction Engineering and Management, 128(05), 385–91.

Ling, Y Y (2002) Model for Predicting Performance of Architects and Engineers. Journal of Construction Engineering and Management, 128(05), 446–55.

Lu, M (2002) Enhancing Project Evaluation and Review Technique Simulation through Artificial Neural Network-based Input Modeling. Journal of Construction Engineering and Management, 128(05), 438–45.

Mawdesley, M J, Al-jibouri, S H and Yang, H (2002) Genetic Algorithms for Construction Site Layout in Project Planning. Journal of Construction Engineering and Management, 128(05), 418–26.

  • Type: Journal Article
  • Keywords: Construction sites; Algorithms; Project planning; Facilities; construction industry; project management; planning; genetic algorithms; civil engineering;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2002)128:5(418)
  • Abstract:
    Construction site layout is concerned with the existence, positioning, and timing of the temporary facilities that are used to carry out a construction project. Typically these problems are very complicated to formulate and difficult to solve. They are, however, very important to virtually any construction project, since the site layout can significantly affect the cost of the project. This paper describes the general site layout problem from both a theoretical and a practical point of view. It proposes genetic algorithms as a possible solution technique and includes a theoretical example of positioning temporary facilities. This is extended to a practical problem in which the cost of movement is modeled realistically using an augmented genetic algorithm. Some preliminary conclusions are drawn for the application of genetic algorithms to construction site layout problems.

Mohamed, S (2002) Safety Climate in Construction Site Environments. Journal of Construction Engineering and Management, 128(05), 375–84.

Skitmore, M and Ng, S T (2002) Analytical and Approximate Variance of Total Project Cost. Journal of Construction Engineering and Management, 128(05), 456–60.