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Ahadzie, D K, Proverbs, D G and Olomolaiye, P O (2008) Model for Predicting the Performance of Project Managers at the Construction Phase of Mass House Building Projects. Journal of Construction Engineering and Management, 134(08), 618–29.

Easa, S M and Hossain, K M A (2008) New Mathematical Optimization Model for Construction Site Layout. Journal of Construction Engineering and Management, 134(08), 653–62.

  • Type: Journal Article
  • Keywords: Construction sites; Construction management; Optimization models;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2008)134:8(653)
  • Abstract:
    Layout of temporary construction facilities (objects) is an important activity during the planning process of construction projects. The construction area layout is a complex problem whose solution requires the use of analytical models. Existing popular models employ genetic algorithms that have proven to be useful tools in generating near optimal site layouts. This paper presents an alternative approach based on mathematical optimization that offers several important features and generates a global optimal solution. The construction area consists of an unavailable area that includes existing facilities (sites) and available area in which the objects can be located. The available area is divided into regions that are formulated using binary variables. The locations of the objects are determined by optimizing an objective function subject to a variety of physical and functional constraints. The objective function minimizes the total weighted distance between the objects and the sites as well as among the objects (if desired). The distance can be expressed as Euclidean or Manhattan distance. Constraints that ensure objects do not overlap are developed. The new approach, which considers a continuous space in locating the objects simultaneously, offers such capabilities as accommodating object adjacency constraints, facility proximity constraints, object–region constraints, flexible orientation of objects, visibility constraints, and nonrectangular objects, regions, and construction areas. Application of the model is illustrated using two examples involving single and multiple objects. The proposed model is efficient and easy to apply, and as such should be of interest to construction engineers and practitioners.

Giritli, H and Civan, I (2008) Personality Study of Construction Professionals in the Turkish Construction Industry. Journal of Construction Engineering and Management, 134(08), 630–4.

Hegazy, T and Menesi, W (2008) Delay Analysis under Multiple Baseline Updates. Journal of Construction Engineering and Management, 134(08), 575–82.

Imriyas, K, Low, S P, Teo, A L and Chan, S L (2008) Premium-Rating Model for Workers’ Compensation Insurance in Construction. Journal of Construction Engineering and Management, 134(08), 601–17.

Kataoka, M (2008) Automated Generation of Construction Plans from Primitive Geometries. Journal of Construction Engineering and Management, 134(08), 592–600.

Koo, D and Ariaratnam, S T (2008) Application of a Sustainability Model for Assessing Water Main Replacement Options. Journal of Construction Engineering and Management, 134(08), 563–74.

Leung, M, Chan, Y and Olomolaiye, P (2008) Impact of Stress on the Performance of Construction Project Managers. Journal of Construction Engineering and Management, 134(08), 644–52.

Leung, M, Chan, Y, Chong, A and Sham, J F (2008) Developing Structural Integrated Stressor–Stress Models for Clients’ and Contractors’ Cost Engineers. Journal of Construction Engineering and Management, 134(08), 635–43.

Walters, R, Jaselskis, E, Zhang, J, Mueller, K and Kaewmoracharoen, M (2008) Using Scanning Lasers to Determine the Thickness of Concrete Pavement. Journal of Construction Engineering and Management, 134(08), 583–91.